AttestIQ

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We are thrilled to announce a significant milestone for AttestIQ: we have been accepted into the NVIDIA Inception Program. AttestIQ is developing an Agentic AI underwriting platform tailored for commercial real estate leasing, equipment leasing, and small business lending. By integrating AI agents, proprietary benchmarking data that encompasses nearly all U.S. businesses, and advanced analytics, we empower organizations to make faster, more accurate, and more explainable underwriting decisions. This partnership with NVIDIA will enable us to enhance our roadmap for predictive risk modeling, underwriting intelligence, and agentic AI workflows. We extend our gratitude to everyone who has supported our journey thus far. This is just the beginning.

Traditional credit bureaus were never built for CRE underwriting. Most bureau reports rely on fragmented trade and payable data — not actual operating performance, rent affordability, industry health, or financial durability. A company can pay vendors on time and still be: -Overloaded by occupancy costs -Operating in a declining industry -Experiencing deteriorating cash flow -Carrying significant hidden risk CRE underwriting requires more than a static score. It requires understanding: -Financial statements -Industry benchmarking -Company size & age -Market conditions -Occupancy cost pressure -Business survival dynamics The future of underwriting is moving from static credit scores to AI-driven contextual intelligence.

Underwriting has evolved. Most of the market hasn’t. A lot of decisions are still being made at “Level 2”: → Credit reports → Payment history → Trade lines But that data: →Covers a small fraction of real obligations →Misses rent, payroll, and debt →Has no industry or market context So the model answers: “Did they pay?” Not: “Can they survive?” The next phase of underwriting is different: →Forward-looking analysis →Industry health + context →AI-driven insights →Customizable data & metrics That’s how you move from credit review to decision intelligence #CRE #Underwriting #PropTech #AI #CommercialRealEstate

Why Law Firms Are Harder to Underwrite Than They Look For landlords and leasing professionals — the metrics you rely on don't tell the whole story. -Little to No Tangible Assets. No inventory, equipment, or collateral to recover against in default. Balance sheets are largely illiquid receivables and partner capital accounts. -Profits Flow Out, Not In. Partnership structures are designed to distribute earnings, not retain them. Even highly profitable firms can carry near-zero cash reserves at the entity level -Client Base Can Vanish Overnight. Revenue is concentrated in a few clients tied to specific partners, not the institution. No long-term contracts, no recurring revenue, no switching costs -Rainmaker Departure Is an Untracked Existential Risk. A departing rainmaker takes their book — and often recruits others on the way out -Entity-Level Net Income Is Nearly Meaningless. Profits are distributed before any retained earnings accumulate -No Reliable Benchmarking Data Exists. Underwriters are left comparing self-reported figures against anecdotal industry norms — with no way to verify either -Long Leases, AI-Driven Headcount Compression. Leases run 10–15 years; AI is already shrinking associate headcount today. Space demand underwritten in 2026 may not reflect the firm's footprint needs by 2031 Traditional underwriting was not built for businesses where the assets go home every night — and may not come back. #CRE #CommercialRealEstate #Leasing #LawFirms #Underwriting #OfficeSpace #PropTech #AttestIQ

Underwriting has evolved. Most of the market hasn’t. A lot of decisions are still being made at “Level 2”: → Credit reports → Payment history → Trade lines But that data: →Covers a small fraction of real obligations →Misses rent, payroll, and debt →Has no industry or market context So the model answers: “Did they pay?” Not: “Can they survive?” The next phase of underwriting is different: →Forward-looking analysis →Industry health + context →AI-driven insights →Customizable data & metrics That’s how you move from credit review to decision intelligence #CRE #Underwriting #PropTech #AI #CommercialRealEstate

Traditional credit bureaus were never built for CRE underwriting. Most bureau reports rely on fragmented trade and payable data — not actual operating performance, rent affordability, industry health, or financial durability. A company can pay vendors on time and still be: -Overloaded by occupancy costs -Operating in a declining industry -Experiencing deteriorating cash flow -Carrying significant hidden risk CRE underwriting requires more than a static score. It requires understanding: -Financial statements -Industry benchmarking -Company size & age -Market conditions -Occupancy cost pressure -Business survival dynamics The future of underwriting is moving from static credit scores to AI-driven contextual intelligence.

Most underwriting platforms still rely on: • Manual analyst workflows • Static scorecards and limited credit bureau data Attestiq was built differently. Our platform combines Agentic AI, automated financial analysis, benchmarking, industry risk intelligence, rent affordability analysis, and AI-generated reporting into a single underwriting system. Attestiq evaluates: → The company → The industry → The market environment → The lease structure → Real financial capacity Not just payment history. The future of underwriting is: • Autonomous • Data-driven • Explainable • Context-aware Faster decisions. Better risk intelligence. More consistent underwriting. #AI #AgenticAI #Underwriting #CreditRisk #CRE #Fintech #PropTech #CommercialRealEstate #DataScience #Attestiq

Traditional credit bureaus were never built for CRE underwriting. Most bureau reports rely on fragmented trade and payable data — not actual operating performance, rent affordability, industry health, or financial durability. A company can pay vendors on time and still be: -Overloaded by occupancy costs -Operating in a declining industry -Experiencing deteriorating cash flow -Carrying significant hidden risk CRE underwriting requires more than a static score. It requires understanding: -Financial statements -Industry benchmarking -Company size & age -Market conditions -Occupancy cost pressure -Business survival dynamics The future of underwriting is moving from static credit scores to AI-driven contextual intelligence.

Underwriting has evolved. Most of the market hasn’t. A lot of decisions are still being made at “Level 2”: → Credit reports → Payment history → Trade lines But that data: →Covers a small fraction of real obligations →Misses rent, payroll, and debt →Has no industry or market context So the model answers: “Did they pay?” Not: “Can they survive?” The next phase of underwriting is different: →Forward-looking analysis →Industry health + context →AI-driven insights →Customizable data & metrics That’s how you move from credit review to decision intelligence #CRE #Underwriting #PropTech #AI #CommercialRealEstate