VERON
Acquire. Integrate. Compound.
VERON is the parent holding company that owns the mortgage company Clear Home Loans, the Mortgage Transparency Model, NachoMamas, Liquitech, and LUMETRICKS. Through disciplined acquisition and rapid integration, we're building a mortgage company and platform that delivers structural cost leadership while empowering loan officers and creating lasting value.
Today's Raise & Roadmap
We're raising a $50M Series A to execute a proven acquisition and integration playbook. Our Seed round of $1.0M at a $5.0M valuation capitalized VERON as the holding company. This Series A will fund strategic acquisitions at disciplined multiples—never exceeding 2.5× day-one EBITDA—and integrate them rapidly to achieve structural cost leadership within 180 days.
Use of Proceeds
  • Acquisitions: $36.4M
  • Earn-outs: $4.0M
  • Integration & Working Capital: $9.6M
Our valuation approach combines operator economics (EBITDA × 2.5–3.0×) with tech value (internal $200/file × 8–10×).
VERON: What We Own
Clear Home Loans
Our operating company executing a national roll-up strategy of independent mortgage banks and broker platforms, creating scale through disciplined acquisition and rapid integration.
Transparency Model
Cultural IP that includes a 50 basis point give-back to loan officers, open-book pricing for customers, and an ownership ethos that drives retention and recruiting velocity.
NachoMamas Suite
Our flagship unified platform: CRM, POS, LOS, Pricing, Post-Close/Servicing, and Delivery—all in a single native system that eliminates vendor sprawl and enables structural cost advantages.
Liquitech
Instant user feedback system that converts voice and text input into structured tickets, then builds and ships improvements in hours or days—creating a closed-loop evidence engine for continuous improvement.
LUMETRICKS
Performance improvement engine using "herd-genetics" methodology to identify high-leverage traits, nudge standards across the organization, and enable self-regulation among teams.
Ownership Note: Clear Home Loan Partners owns 10% of VERON, aligning incentives across the organization.
Why Now: Cycle Timing Creates Opportunity
The current market environment presents a compelling acquisition window. Independent mortgage bank valuations have compressed to approximately 2.0–2.5× EBITDA as volumes remain depressed and legacy technology continues to create operational drag.
Industry cost per loan exceeds $11,600, driven by fragmentation, vendor sprawl, and pervasive re-work. This creates an opening for operators with superior culture and internal technology to achieve structural cost leadership and build retention moats that competitors cannot replicate.
Our edge comes from combining culture with internal operating system capabilities—creating both immediate cost advantages and long-term retention that compounds over time.
The Transparency Model: Building a Retention Moat
Basis Point Give-Back
From day zero, we share cost savings directly with loan officers through a basis point give-back. This immediate financial benefit builds trust and demonstrates our commitment to partnership, not just profit extraction.
Report Card P&L
Every loan officer sees their personal P&L, creating radical transparency and accountability. This empowerment through information transforms producers from vendors into business owners who understand their economics.
Ownership Mechanics
Through Clear Life incentive structures, loan officers gain true ownership in the business they build. This creates a viral recruiting model as successful producers become advocates and talent magnets.
The outcome is measurable and sustainable: retention rates rise, churn decreases, and recruiting velocity accelerates. In an industry where talent acquisition costs are prohibitive, our model creates organic growth through referrals and reputation.
Proof of Execution: Context & Continuity
In 2024, operating as Clear Mortgage, we funded approximately $430 million in loans and generated roughly $20 million in revenue—demonstrating execution capability in a challenging down market.
The relaunch as Clear Home Loans positions us for national scale with a clean cap table and our proprietary internal operating system fully deployed. This isn't a startup proving a concept; it's a proven operator scaling a validated model.
Producer retention among active loan officers has historically tracked in the high-90s percentage range, with annual retention approximately 96%. This retention performance, sustained through multiple market cycles, validates the power of our Transparency Model and culture.
Our Operating System: Internal Technology Edge
Our proprietary operating system is the engine that enables structural cost leadership. Built as a unified base covering pricing, compensation, operations milestones, audit logging, and identity/permissions management, it eliminates the vendor sprawl that plagues traditional mortgage operations.
01
Unified Base Architecture
Single source of truth for all core functions—pricing, comp, operations, audit, and permissions—eliminating data synchronization issues and integration costs.
02
Target Cost Structure
Achieve ≤20 basis points cost per loan excluding LO compensation by Day 180 post-acquisition, compared to industry averages exceeding $11,600 per loan.
03
Metered Technology Fee
Internal transfer pricing at $200 per file creates auditable, transparent tech cost allocation while enabling proper valuation of our technology assets.
04
Stealth Posture
We maintain strict operational security—no screenshots, no external demos, outcomes only. This preserves our competitive advantage and prevents replication.
Integration Playbook: 0/30/60/90/180
Our integration discipline is the key to converting acquired companies into high-performing, low-cost operations. We follow a strict timeline with clear milestones, ensuring rapid value capture while maintaining producer satisfaction and customer service quality.
1
Day 0
Announce 50 bps give-back and provision system access to acquired team members.
2
Day 30
Pricing and compensation systems live; Report Cards active for all loan officers.
3
Day 60
Operations milestones tracked, SLA alerts configured, full audit trail operational.
4
Day 90
Run-rate cost per loan reduced to ≤80 basis points excluding LO compensation.
5
Day 180
Target achieved: run-rate cost per loan at ≤20 basis points, full system adoption.
Target Profile & Sourcing Strategy
Ideal Target Characteristics
  • Purchase-loan focused business mix for cleaner economics and faster cycles
  • Encompass-standardized operations or easily standardized systems
  • Low mortgage servicing rights complexity to reduce integration friction
  • Asset-purchaseable structure enabling clean acquisitions
  • Culturally coachable teams receptive to the Transparency Model
  • Earn-out structures tied to LO retention and platform adoption
Sourcing Channels
Our deal flow comes from multiple proven channels that provide consistent access to quality targets:
  • Operator Networks: Direct relationships with IMB owners and executives
  • Banker Relationships: Introductions from lenders familiar with distressed situations
  • Off-Market IMBs: Proprietary outreach to identified consolidation candidates
  • Mega-Broker Teams: Large producer teams seeking infrastructure and support
2026 Owned Volume: Source of Truth
Our 2026 acquisition plan is specific, conservative, and achievable. We will own 20,000 loans annually through a disciplined mix of platform acquisitions and bolt-on integrations, maintaining strict discipline on purchase multiples and never exceeding 2.5× day-one EBITDA.
5K
Platform IMB
Foundational acquisition providing scale, infrastructure, and operating platform
8K
Bolt-On IMBs
Two complementary acquisitions adding geographic or product diversity
7K
Broker Shops
Seven high-performing broker teams gaining infrastructure and support
20K
Total 2026
Conservative starting point for multi-year compounding growth trajectory
Unit Economics: The Power of Integration
Our value creation comes from fundamentally restructuring cost per loan while increasing loan officer compensation. The 50 basis point give-back isn't charity—it's strategic sharing of real savings that builds loyalty and retention while still dramatically improving company economics.
Revenue Maintained
$11,500 per loan remains constant; bps give-back assumed in model
LO Comp Increases
From $6,000 to $8,200 — a $2,200 raise from shared savings
Non-LO Cost Collapses
From $4,900 to $800 through platform consolidation and automation
EBITDA Expands 4.7×
From $600 to $2,500 per loan—creating sustainable margin expansion
EBITDA Bridge: From $600 to $2,500
The transformation in per-loan economics is straightforward but powerful. We eliminate $4,405 in non-LO costs through platform consolidation, process automation, and vendor elimination. Half of those savings flow to loan officers as increased compensation, building loyalty. The other half accrues to the company as expanded EBITDA.
01
Baseline
Pre-integration EBITDA of $600 per loan based on industry-standard cost structures
02
Cost Elimination
Reduce non-LO costs from $4,900 to $800, saving $4,100 per loan through platform efficiencies
03
50/50 Split
Share savings: $2,200.00 to loan officers as increased compensation, $1900 to company
04
New Economics
Achieve $2,500 EBITDA per loan—a 4.2× improvement over pre-integration baseline
Check vs Buy Consistency: Bundle Math
Our acquisition strategy demonstrates internal consistency between per-loan economics and portfolio-level valuations. With 20,000 loans generating $600 EBITDA each, day-one EBITDA totals $12.0 million. At our target multiple of 2.5×, this implies consideration of $30 million.
Our Series A uses align perfectly with this math: $30 million for acquisition consideration, $5.0 million for earn-outs, and $10 million for integration and mortgage working capital, totaling exactly $50.0 million raised.
$600
EBITDA per Loan
Day-one baseline before integration improvements
20K
Owned Loans
2026 starting volume from platform, bolt-ons, and brokers
$12M
Bundle EBITDA
Day-one annual run-rate from acquired portfolio
2.5×
Entry Multiple
Disciplined valuation creating immediate value on integration
This isn't financial engineering—it's operational discipline. We buy companies at fair prices based on their current economics, then transform those economics through our operating system and culture.
Mortgage Group: EBITDA & Operator EV Projection
Our mortgage operating company's value creation follows a clear trajectory driven by volume growth and post-integration margin expansion. At steady-state per-loan EBITDA of $2,500 and operator multiples of 3.0×, we build substantial enterprise value through disciplined execution.
By 2030, at 180,000 owned loans annually, the mortgage operating company generates over $450 million in EBITDA, supporting an operator enterprise value exceeding $1.35 billion at 3.0× multiples. This growth comes from repeating our proven playbook: acquire at discipline multiples, integrate rapidly, expand margins, and compound.
Market Share: Owned Volume Perspective
In a U.S. mortgage market of approximately 6.2 million loans annually, our growth trajectory remains conservative and achievable. We start at 0.32% market share in 2026 with 20,000 owned loans, growing to 2.90% by 2030 with 180,000 loans.
This measured approach to market share expansion reflects the reality of our acquisition-driven model. We're not trying to win the entire market—we're building a sustainable, high-margin business that compounds value through disciplined capital allocation and operational excellence.
Technology: Internal ARR from Transfer Pricing
Our technology assets generate internal Annual Recurring Revenue through a metered transfer-pricing model. Each loan processed through our platform generates a $200 technology fee that flows from the operating company to the technology subsidiary. This fee is already embedded in the operating company's $500 per-loan non-LO cost structure.
This transfer-pricing structure serves multiple purposes: it creates auditable, transparent cost allocation; it enables separate valuation of technology assets; and it establishes an internal market price should we ever consider external licensing. By 2030, our technology platform generates $36 million in internal ARR from 180,000 loans.
Tech EV: Captive SaaS Multiples
Our technology assets deserve separate valuation recognition even though they serve a captive internal customer base. We apply conservative SaaS multiples of 8–10× ARR, significantly below the 15–25× multiples typical of externally-sold mortgage technology platforms.
This conservatism reflects the captive nature of our technology revenue and the absence of external sales infrastructure. However, the technology's proven ability to enable sub-$800 per-loan costs and drive operator EBITDA expansion justifies meaningful valuation even at these conservative multiples.
By 2030, our technology platform supports a standalone enterprise value of $288–360 million based on $36 million in internal ARR. This valuation exists in addition to the operator value created through margin expansion—there is no double-counting of value creation.
Sum-of-the-Parts Valuation: HoldCo Perspective
VERON's holding company value combines operator economics and technology value without double-counting. The operator enterprise value reflects 3.0× multiples on expanded EBITDA margins. The technology enterprise value reflects 8× multiples on internal ARR that's already embedded in operator costs. These are additive, not overlapping, sources of value.
By 2030, VERON's sum-of-the-parts valuation exceeds $1.6 billion, driven by $1.35 billion in operator value and $288 million in technology value. This projection assumes conservative multiples, no market expansion beyond our acquisition targets, and no external technology sales.
NachoMamas: The Flagship Technology Stack
NachoMamas is our comprehensive, native mortgage platform that replaces the vendor sprawl plaguing traditional operations. Built as a single integrated system, it covers the entire loan lifecycle: CRM for lead management, POS for application, LOS for processing, Pricing for rate decisioning, Post-Close/Servicing for fulfillment, and Delivery for investor interaction.
This unified architecture eliminates data synchronization issues, reduces licensing costs, enables faster feature deployment, and creates a seamless user experience. Most importantly, it's the foundation that enables our target of sub-20 basis points production cost by Day 180.
CRM
Lead management and opportunity tracking with native integration to all downstream systems
POS
Point-of-sale application capture with real-time pricing and instant decisioning
LOS
Loan origination system managing workflow, documents, and compliance through closing
Pricing
Real-time rate engine with investor guidelines and margin optimization
Post-Close
Quality control, audit, and servicing setup with automated compliance checks
Delivery
Investor delivery and secondary market execution with automated file packaging
Liquitech: Accelerating Change Velocity
Liquitech transforms how we gather feedback and implement improvements. Traditional mortgage technology operates on quarterly or annual release cycles. Liquitech enables hours-to-days iteration through a closed-loop system that captures user feedback, structures it into actionable tickets, rapidly builds solutions, and ships improvements immediately.
Capture
In-app voice and text feedback from loan officers, processors, and borrowers—no forms, no friction
Triage
AI-assisted prioritization converts feedback into structured tickets with specifications
Build
Rapid development cycles implement high-priority improvements within hours or days
Ship
Continuous deployment releases improvements to users immediately upon completion
Evidence
Usage analytics and KPI tracking validate impact and inform next priorities
This change velocity creates a competitive moat. While competitors plan annual roadmaps, we ship daily improvements driven by actual user needs. The cumulative effect is a platform that evolves faster, fits users better, and drives higher adoption.
LUMETRICKS: The Performance Improvement Engine
LUMETRICKS applies "herd-genetics" methodology to identify and propagate high-performance behaviors across the organization. Rather than imposing top-down standards, it analyzes actual performance data to identify the traits and behaviors that separate top performers from average ones, then creates visibility and nudges that help teams self-regulate toward excellence.
Key performance indicators tracked include touches per file, cycle time, defect rates, pull-through percentages, and Net Promoter Scores. The system creates transparent visibility into these metrics at the individual, team, and company levels, enabling both accountability and learning.
The genius of LUMETRICKS is that it harnesses competitive dynamics and professional pride without heavy-handed management. When teams see their performance relative to peers, they naturally seek to improve. When they see how top performers achieve results, they can adopt those practices.
Competitive Landscape: Why We Win
The mortgage technology landscape is dominated by point solutions from vendors like Blend, ICE, and Encompass. These systems excel at specific functions but create integration nightmares, data synchronization issues, and fragmented user experiences. Our internal operating system inverts this model—we built a unified stack that shares data natively across all functions.
Unified Architecture
Single database, shared identity, consistent UX across CRM, POS, LOS, Pricing, Post-Close, and Delivery—no vendor coordination required
Transfer-Priced Metering
$200 per file creates transparent, auditable technology costs and enables proper valuation of tech assets separately from operator economics
Report Card P&L
Individual-level profitability visibility creates accountability and empowerment that competitors cannot replicate without cultural transformation
Day-180 to ≤20 bps
Our integration playbook delivers structural cost leadership in six months—competitors take quarters or years to achieve equivalent results
Critically, we maintain strict operational security. We don't demo our system externally, don't share screenshots, and don't license our platform. This stealth posture preserves our competitive advantage and prevents replication by better-capitalized competitors.
Compliance by Design
Compliance isn't an afterthought—it's embedded in our system architecture. We've built controls for GLBA/Reg P privacy requirements, FCRA/Reg V consumer reporting, CCPA/CPRA data rights, RESPA Section 8 anti-kickback provisions, and TCPA/CAN-SPAM marketing consent directly into our workflows and data models.
Privacy notices are automatically presented and logged. Affiliate opt-outs are respected system-wide. Consent for communications is captured, versioned, and auditable. Marketing suppression lists are enforced at the infrastructure level. These aren't bolted-on features—they're fundamental to how our systems operate.
1
GLBA/Reg P
Privacy notices, safeguards, and information-sharing controls built into data model
2
FCRA/Reg V
Consumer reporting permissions and adverse action workflows automated
3
CCPA/CPRA
Data subject rights requests handled through auditable, repeatable processes
4
RESPA §8
Anti-kickback monitoring and fee disclosure embedded in partner integrations
5
TCPA/CAN-SPAM
Marketing consent capture, opt-out enforcement, and suppression at infrastructure level
We also maintain comprehensive vendor risk management processes, incident response procedures, and encryption for data in transit and at rest. Immutable audit trails provide forensic capability for regulatory inquiries or litigation support.
Security Posture
Our security architecture implements defense-in-depth with multiple layers of protection. Single sign-on with least-privilege access controls ensure users can only access data appropriate to their roles. Field-level masking protects sensitive information even from authorized users who don't need to see it. Key management follows industry best practices with rotation and auditing.
SSO & Least Privilege
Centralized authentication with role-based access controls limiting exposure
Field-Level Masking
Sensitive data obscured based on user role and business need-to-know
Key Management
Encryption keys rotated regularly with comprehensive audit logging
Immutable Logs
Tamper-proof audit trails providing forensic capability and compliance evidence
SOC 2 Roadmap
Type II audit program in progress demonstrating security and availability controls
Third-Party Testing
Regular penetration tests and vulnerability assessments by independent security firms
We're pursuing SOC 2 Type II certification and conduct regular third-party penetration testing. Incident response drills ensure our teams can react quickly and effectively to security events. These investments aren't just about compliance—they're about earning and maintaining the trust of loan officers, borrowers, and investors.
KPIs We Run the Business On
Integration Velocity
We measure success by our ability to hit Day 30, Day 60, Day 90, and Day 180 milestones consistently across acquisitions. Each milestone represents specific system deployments and cost reductions that must be achieved on schedule.
Cost Curve
Non-LO cost per loan trends toward our $800 target, with EBITDA per loan reaching $2,500 post-integration. These unit economics are the foundation of our value creation model.
Retention & Recruiting
Producer retention percentage and net loan officer additions per quarter indicate the health of our culture and the effectiveness of our Transparency Model in attracting and retaining talent.
Quality Metrics
Defect rates, touches per file, cycle time, and pull-through percentages measure operational excellence and customer experience. Improvement in these metrics drives both satisfaction and profitability.
$800
Target Cost
Non-LO cost per loan by Day 180
95%
LO Retention
Active producer retention target
18
Cycle Time
Days from app to close (target)
85%
Pull-Through
Applications that close successfully
12–18 Month Milestones
Our immediate execution plan focuses on closing initial acquisitions, integrating them to our cost targets, documenting our technology transfer-pricing model, and achieving run-rate scale. These milestones are specific, measurable, and directly tied to our value creation thesis.
1
Months 1–4
Close first three acquisition targets representing platform IMB plus initial bolt-ons
2
Months 2–6
Integrate acquired entities to ≤80 bps cost per loan through Day 90 playbook execution
3
Months 4–8
Achieve ≤20 bps cost per loan at Day 180 across all integrated acquisitions
4
Months 10–18
Reach run-rate of ≥40,000 loans annually through continued acquisition and organic growth
Supporting milestones include documenting $200 per file SLA agreements with internal audit validation, completing vendor sunsets as legacy systems are replaced, and establishing board-level governance for material technology and compliance decisions.
$50M Series A: Sources & Uses
Our Series A raise of $50 million is precisely allocated to execute our acquisition and integration strategy. Acquisition consideration of $30 million funds the initial portfolio of companies. Earn-outs of $5.0 million align seller incentives with loan officer retention and platform adoption. Integration and working capital of $15 million covers system deployment, training, and operational transition costs.
This capital structure reflects lessons learned from prior integrations. We've sized the integration budget to handle 2–3 acquisitions per quarter without bandwidth constraints. Working capital cushions the business through the 180-day integration period when costs temporarily increase before achieving target unit economics.
Governance & Ownership Structure
VERON's board includes founders with deep operational expertise, our lead Series A investor providing strategic capital markets guidance, an independent director with fintech operations experience, and an independent director with compliance and regulatory background.
We maintain a Privacy/Security committee overseeing information protection and incident response. Our transfer-pricing policy for the $200 per file technology fee is documented, auditable, and reviewed annually by external advisors.
Critical ownership note: Clear Home Loan Partners holds 10% of VERON, creating alignment between the operating company and the holding company structure.
Risks & Mitigations
Sourcing Density Risk
Risk: Insufficient acquisition pipeline to achieve volume targets
Mitigation: Off-market relationships with IMB owners; disciplined hard cap at 2.5× entry multiple prevents overpaying for scarce assets; multiple sourcing channels including operators, bankers, and broker teams
Integration Bandwidth Risk
Risk: Attempting too many simultaneous integrations overwhelms team capacity
Mitigation: Pod structure with dedicated integration teams; strict cap of 2–3 integrations per quarter; documented playbook with clear milestones and escalation procedures
LO Retention Risk
Risk: Loan officers leave during integration, destroying acquisition value
Mitigation: Day-zero 50 bps give-back demonstrates immediate value; Report Cards provide transparency and empowerment; targeted SPIFs during transition; earn-outs tied to retention align seller incentives
Compliance & Security Risk
Risk: Regulatory violations or security breaches damage reputation and operations
Mitigation: Layered controls embedded in system architecture; regular external audits and penetration testing; incident response readiness with documented procedures and regular drills
The VERON Flywheel
Acquire. Integrate. Compound.
We compound cash flows by buying right and operating right. VERON owns the culture and the code. Clear Home Loans scales it through disciplined acquisition and rapid integration. NachoMamas provides the unified platform that enables structural cost leadership. Liquitech accelerates our change velocity. LUMETRICKS drives continuous performance improvement.
Each acquisition creates more data, more scale, and more proof points that attract the next acquisition. Each integration strengthens our playbook and builds team capability. Each loan officer we retain becomes an ambassador who recruits others. Each basis point of cost we eliminate compounds across growing volume.
Acquire
Source targets at disciplined multiples, never exceeding 2.5× day-one EBITDA
Install
Execute 0/30/60/90/180 playbook achieving ≤20 bps cost by Day 180
Scale
Grow volume through retention and recruiting while maintaining unit economics
Repeat
Redeploy expanded cash flows into next acquisition, compounding returns
Join the Series A
We're raising $50 million to accelerate acquisitions and integrations. This is your opportunity to partner with a team that has demonstrated execution, owns proprietary technology, and operates with the discipline required to compound capital efficiently in a fragmented market. Let's build something exceptional together.
International Expansion: GCC Optionality
While not part of our current strategy, our technology architecture supports future international expansion, particularly into Gulf Cooperation Council markets. Our platform can accommodate local hosting requirements, data residency mandates, Arabic language support with right-to-left UI, and Sharia-compliant financial modules including profit-rate equivalents to conventional interest structures.
Technical Readiness
  • Multi-tenant architecture supporting regional data isolation
  • Internationalization framework with RTL language support
  • Configurable financial calculations for alternative structures
  • Sovereign data room capabilities for regulatory compliance
Market Entry Path
  • Joint venture partnerships with regional financial institutions
  • Licensing arrangements respecting local ownership requirements
  • Gradual market entry starting with advisory relationships
  • Technology transfer with appropriate knowledge protection
This optionality exists should market conditions and strategic priorities align in the future. For now, it remains a capability demonstration rather than an active initiative.
External Platform Sales: Future Optionality
External licensing of our platform is not our current strategy. Our competitive advantage depends on keeping our technology internal and preserving operational secrecy. However, if market dynamics change or scale creates excess capacity, we could consider limited external sales with carefully structured terms.
Any external licensing would use a zero-license-fee core platform with per-application monetization based on explicit customer consent. This would require separate compliance infrastructure, consent management UX, and dedicated go-to-market motion distinct from our acquisition-focused strategy.
The primary risk of externalization is erosion of our competitive moat. Once external customers see our architecture and capabilities, better-capitalized competitors can reverse-engineer and replicate. We would only pursue external sales after achieving sufficient scale and market position to withstand this competitive response.
Data & Ecosystem Monetization: Consent-First Model
Data monetization opportunities exist but must respect explicit consumer consent and never involve resale of non-public personal information. We envision intent-based marketplace rails where consumers who affirmatively consent can receive offers for related services—insurance, moving, home services—with clear value exchange and transparent data use.
01
Explicit Consent
Clear, conspicuous consent request explaining data use and consumer benefit
02
Value Exchange
Consumer receives tangible benefit—better rates, cash incentives, exclusive access
03
Intent Matching
Algorithmic matching connects consumer needs with relevant service providers
04
Ongoing Control
Consumer retains ability to revoke consent and delete data at any time
If ever productized, these revenue streams would be reported as separate line items distinct from our core mortgage operations and technology ARR. We would never include data monetization in ARR multiples or represent it as software revenue. Transparency and ethical data practices are non-negotiable.
Competitive Dynamics: If We Externalize
Advantages of Internal-Only Strategy
  • Preserves competitive secrecy and prevents replication
  • Enables rapid feature deployment without customer coordination
  • Allows aggressive architectural changes without backward compatibility
  • Focuses entire organization on operational excellence vs. sales
  • 30-day integration cycles vs. multi-quarter external implementations
Risks of External Licensing
  • Reveals architecture and capabilities to competitors
  • Creates support burden and slows innovation velocity
  • Requires backward compatibility limiting future improvements
  • Diverts engineering resources from core operations
  • Dilutes cultural and operational focus across two business models
The mortgage technology landscape is littered with vendors that started as operators and failed after externalizing their platforms. Blend, Roostify, Maxwell—all struggled to balance product roadmaps between their original operations and external customers. We learn from their experience: stay internal until scale makes external licensing genuinely incremental rather than distracting.
Financial Drivers: Assumptions Summary
Our financial model rests on specific, conservative assumptions validated through actual operating history. Revenue per loan of $11,500 reflects industry standards adjusted for our 50 basis point give-back. Pre-integration cost per loan of $10,900 represents typical industry structures. Day-one EBITDA of $600 per loan is the baseline we acquire.
Post-integration, non-LO cost collapses to $800 per loan including the $200 technology fee. We split the $4,200: $2,200 flows to loan officers as increased compensation, building retention. The other $1900 accrues to the company, driving EBITDA per loan to $2,500—a 4.2× improvement over baseline.
Volume grows from 20,000 loans in 2026 to 180,000 by 2030 through continued acquisition execution at our disciplined multiples and playbook-driven integration.
Sensitivity Analysis: Operator Multiples
Our base case assumes 3.0× EBITDA multiples for operator enterprise value, but we model sensitivity to show valuation outcomes under different multiple assumptions. At 2.5×, we're valuing like a mature, capital-intensive operator. At 3.5×, we're capturing some growth premium for our technology-enabled model and superior unit economics.
Even at the low end of 2.5× multiples, our 2030 operator value exceeds $1.26 billion. At 3.5×—justified by our structural cost advantages and retention moats—we approach $1.77 billion in operator value alone before adding technology value.
Pace Sensitivity: Companies to Loans to Value
Our acquisition pace drives volume, which drives EBITDA, which drives enterprise value. This analysis shows how different acquisition counts translate into owned loans and resulting valuations, helping investors understand the relationship between deal execution and value creation.
Our base case of six companies delivering 20,000 loans creates $200 million in SOTP value by 2026. Accelerating to ten companies would push 2026 value to $330 million. Conversely, slower execution—three companies—still generates $130 million in value, providing downside protection.
Cash Conversion: Integration ROI
The return on our integration investment is rapid and substantial. For every 20,000 loans, post-integration EBITDA improvement totals $38.0 million annually compared to pre-integration baseline ($2,500 vs. $600 per loan × 20,000 loans).
Our Series A budget of $50 million pays back in 12 months of this EBITDA uplift. Stated differently, we invest $50 million to unlock $50 million in annual EBIDA cash flow from a mortgage company valuated at $150M.
This cash conversion velocity explains our ability to compound: we're not waiting years to recoup integration investments before making the next acquisition. We're recovering costs in months and redeploying capital into new deals that generate similar returns.
Transfer Pricing: Tech Fee Documentation
Our $200 per file technology fee is documented through formal transfer-pricing policy consistent with related-party transaction standards. Each loan processed generates a metered log entry. Monthly invoices flow from the operating company to the technology subsidiary with detailed file-level attribution.
1
Rate Card
$200 per file rate established through market comparison and cost-plus analysis
2
Metering
Per-file logs with timestamps, user IDs, and system attribution create audit trail
3
Monthly Billing
Automated invoicing with file-level detail and reconciliation to system logs
4
SLA Benchmarks
Service level agreements document performance standards and remediation rights
This documentation supports both related-party disclosures in financial statements and independent valuation of the technology subsidiary. External auditors review the policy annually to ensure arm's-length reasonableness and compliance with transfer-pricing regulations.
Compliance Reference: Regulatory Checklist
Our compliance program addresses the full spectrum of federal and state regulations governing mortgage origination, consumer privacy, and fair lending. These controls are embedded in our system architecture and operational procedures, not bolted on as afterthoughts.
1
GLBA / Reg P
Privacy notices, safeguards rule, information sharing controls, and annual certification processes implemented system-wide
2
FCRA / Reg V
Consumer reporting permissions, adverse action notices, accuracy dispute processes, and affiliate marketing opt-outs automated
3
CCPA / CPRA
Data subject rights requests, deletion workflows, opt-out mechanisms, and privacy policy disclosures maintained
4
RESPA Section 8
Anti-kickback monitoring, affiliated business arrangement disclosures, and fee reasonableness tracking enforced
5
TCPA / CAN-SPAM
Marketing consent capture, do-not-call registry checking, opt-out processing, and suppression list enforcement at infrastructure level
Integration SOPs: Process Library
Technical Migration
  • Pricing/Comp Cutover: Rate engine migration and compensation rule deployment with validation testing
  • Data Migration: Extract, transform, load procedures with data quality checks and rollback procedures
  • Vendor Sunset: Systematic decommissioning of legacy systems with license termination and data archiving
People & Process
  • Training Modules: Role-based curriculum covering system features, policies, and compliance requirements
  • QA Gates: Checkpoint reviews at Day 30, 60, and 90 validating milestone achievement before proceeding
  • Change Management: Communication cadence, feedback loops, and escalation paths for integration issues
These standard operating procedures represent accumulated wisdom from multiple integration cycles. They're living documents that evolve with each acquisition, capturing lessons learned and incorporating process improvements. New integration team members can onboard quickly because the playbook is explicit and comprehensive.
Governance Charters & RACI
VERON's governance structure balances founder operational control with investor protection and independent oversight. Our board meets quarterly with additional meetings as needed for material transactions. The Audit & Risk committee reviews financial reporting, internal controls, and enterprise risk management. The Privacy/Security committee oversees information protection and incident response.
Board Composition
  • Two founder seats (CEO, COO)
  • Two investor seats (lead Series A, additional investor)
  • Two independent seats (fintech operator, compliance expert)
Reserved Matters
  • Acquisitions exceeding $15 million
  • Annual budget and strategic plan approval
  • Material litigation or regulatory actions
  • Changes to transfer-pricing policy
Committee Charters
Audit & Risk: Financial statement review, external auditor appointment, internal control assessment, risk appetite framework
Privacy & Security: Incident response oversight, privacy program review, security roadmap approval, vendor risk management
Compensation: Executive compensation, equity plan administration, performance metrics alignment
Founding Partners & Team
Grant Whitmer
Operating and growth leader who architected the Transparency Model and drives organizational culture across acquisitions
Bill Sandvig
Architect of Clear Life and ClearView systems; leads acquisitions, integration execution, and operational playbooks
Ahmad Muhammad
Data stack and AI capabilities leader; internal operating system architecture and technology infrastructure
Strategic Partners & Advisors: Patrick Lam provides capital markets and strategic M&A guidance. Russ Warner advises on mortgage operations and regulatory matters. Joe Anderson contributes technology architecture and scaling expertise.
Board of Investment Partners
Our investment partners bring a wealth of experience across operations, sales, and executive leadership within the mortgage industry, fortifying VERON's strategic direction and execution capabilities.
Sharon Littlejohn
20-year operations and compliance veteran, former national director of operations in mortgage.
Pat Lamb
CEO and owner of OnQ Mortgage (sold to Guaranteed Rate), M&A specialist.
Russ Warner
National Sales Director for Security National and City First Mortgage Services.
Joe Anderson
National Sales Director for Movement Mortgage and OVM, focused on growth.
Brian Hill, CEO
Co-founder and owner of Aspire Home Loans, bringing entrepreneurial insight.
Charlie Cooper, President
Co-founder and owner of Austin Capital Mortgage & Aspire Home Loans, experienced in building mortgage businesses.
Uzair Kahn
Leading AI and FinTech innovator, advising on digital transformation, product strategy, developer on Whispr Flow.
This collective expertise ensures robust guidance in navigating market dynamics, optimizing operational efficiencies, and driving strategic growth.
Team Biographies
Grant Whitmer — CEO & Operating Lead
Grant architected the Transparency Model that drives our retention and recruiting advantages. He brings deep experience in mortgage operations, organizational culture design, and growth strategy. His operational discipline ensures we maintain cost targets and margin expansion through integration cycles while preserving the cultural elements that make us distinctive.
Bill Sandvig — President & Integration Lead
Bill designed Clear Life and ClearView systems that preceded our current platform. He leads all acquisitions from sourcing through integration, owning the 0/30/60/90/180 playbook execution. His combination of deal-making skill and operational rigor ensures we buy right and integrate fast, achieving our cost targets consistently.
Ahmad Muhammad — CTO & Data Architect
Ahmad built our data infrastructure and AI capabilities that power Liquitech and LUMETRICKS. He owns the internal operating system architecture, ensuring our unified platform maintains performance and reliability as we scale. His technical judgment balances innovation with stability, enabling rapid feature deployment without compromising system integrity.
Uzair Khan — VP Engineering & Product
Uzair leads software delivery for pricing, compensation, and operations surfaces visible to loan officers and processors. His product sense ensures our tools serve actual user workflows rather than imposing artificial structures. He manages the engineering team building and maintaining our competitive advantages in platform usability and performance.
Strategic Advisors: Patrick Lam provides capital markets guidance and strategic M&A advice. Russ Warner contributes mortgage operations expertise and regulatory intelligence. Joe Anderson advises on technology architecture and scaling challenges.
Glossary of Terms
  • IMB: Independent Mortgage Bank—a non-depository lender that originates loans for sale to investors
  • MSR: Mortgage Servicing Rights—the right to service a loan and collect fees after origination
  • LOS: Loan Origination System—software managing the workflow from application to closing
  • POS: Point of Sale—borrower-facing application and initial disclosure system
  • PPE: Purchase Price Exception—pricing adjustment for non-standard loan characteristics
  • SPIF: Special Performance Incentive Fund—targeted bonus for specific achievements
  • NPI: Non-Public Information—consumer data protected by privacy regulations
  • SLA: Service Level Agreement—contractual performance standards and remediation rights
  • SOC 2: System and Organization Controls—third-party audit of security and availability controls
  • QoE: Quality of Earnings—due diligence analysis validating financial representations
Legal Disclaimers

Forward-Looking Statements
This presentation contains forward-looking statements regarding future performance, growth trajectories, and financial projections. These statements are based on current assumptions and expectations that involve substantial risks and uncertainties. Actual results may differ materially from projections due to market conditions, execution challenges, competitive dynamics, regulatory changes, or other factors.

Illustrative Assumptions
Financial models presented use assumptions derived from historical operations and industry benchmarks. Volume projections, cost targets, retention rates, and valuation multiples represent management estimates subject to change. Integration timelines assume favorable market conditions and successful execution of our playbook.

Confidential Materials
This presentation contains confidential and proprietary information of VERON and its subsidiaries. Recipients agree to maintain confidentiality and not reproduce, distribute, or discuss this information with third parties without express written permission. This material does not constitute an offer to sell or solicitation to buy securities.
Key Visualizations: Value Creation Summary
This section consolidates the most important visualizations demonstrating our value creation model: EBITDA growth driven by volume and margin expansion, sum-of-the-parts valuation combining operator and technology value, and integration milestone tracking showing our playbook execution.
The trajectory is clear: from $200 million in 2026 to over $1.8 billion by 2030, driven by disciplined acquisition, rapid integration, and relentless focus on operational excellence. Every data point represents a proven playbook executed repeatedly at scale.
Brand Standards & Capitalization
Proper Brand Usage
  • VERON: All caps, the holding company name and parent brand
  • Clear Home Loans: Title case, the operating company executing our mortgage strategy
  • NachoMamas: Single word, capital N and M, our flagship technology platform
  • Liquitech: Single word, capital L, our feedback and rapid improvement system
  • LUMETRICKS: All caps, our performance improvement and herd-genetics engine
Visual Identity Notes
VERON represents the parent entity and should be used when discussing overall strategy, governance, or sum-of-the-parts valuation. Clear Home Loans is used for operational matters, acquisitions, and mortgage-specific content.
NachoMamas, Liquitech, and LUMETRICKS are technology brands that should be referenced when discussing platform capabilities, integration tools, or performance management systems.
Maintain consistent capitalization across all materials to reinforce brand recognition and professional presentation standards.