More loans.
Zero extra risk.
Explainable AI layer for creating transparent lending strategies. A data science framework that analyzes your lending history to increase approvals without adding risk.
that qualify
strategies
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decisions
Most regional lenders still underwrite like it's 1999.
Lenders either stay conservative and lose volume — or take a risk on costly models that aren't compliance-friendly. There has to be a better way.
Good borrowers get rejected
Credit scores and manual rules are blunt instruments. They paint every borrower with the same broad brush, missing the nuance that separates real risk from lost opportunity.
In-house models cost a fortune
Building an advanced assessment tool in-house means 10+ months of development, $1,000,000+ in salaries, and $100,000+ per year in ongoing maintenance. Most community lenders simply can't justify that spend.
AI is a black box
ML and AI models are hard to approve internally and increasingly hard to justify to regulators. Regulatory pressure demands transparency and explainability in every lending decision.
Too expensive to build.
Too valuable to ignore.
RangeTeller is an explainable AI credit decisioning platform that enables lenders to approve more loans with full control over risks.
Uses Local Historical Data
Lenders know their communities. RangeTeller turns your own lending history into strategies that reflect your actual market — and lets your experts integrate their knowledge directly into the logic.
Creates Transparent Strategies
Every lending decision is fully explainable and compliance-friendly. Loan officers can understand and justify every outcome — to customers, auditors, and regulators alike.
Increases Acceptance with Zero Extra Risk
Approve more creditworthy borrowers without changing your risk appetite. One UK client documented a 20% reduction in rejections with no increase in modeled risk.
The only solution that's affordable, transparent, and local.
| Solution | Low cost | Interactive expert tuning | Inherently transparent |
|---|---|---|---|
| RangeTeller | |||
| Zest AI, Scienaptic AI, Underwrite.ai | Post-hoc only | ||
| GDS Link, Provenir, Taktile | Partial | Partial | |
| AI-assisted in-house developers | Partial |
Based on public information, 2026.
Built by people who know finance and data.
Daniel Goldstone
16 years as an executive sales leader spanning early-stage to corporate, with a focus on high-growth startups. Builds and nurtures high-value client partnerships that create sustainable, long-term business growth.
Alexander Shapiro
16 years in finance and engineering with profound knowledge of risk management across multiple markets. Former VP R&D Analytics at JPMorgan Chase. Expert data scientist with PhD in Mathematics.
Bryan Clagett
Founder of a strategic consultancy serving US financial institutions and fintech companies.
Roni Koren
Experienced executive specializing in international business development, mergers and acquisitions.
Nick Hawkins
13 years in UK Government and Parliament. Deputy chairman of the all-party committee on financial services. Corporate Barrister.
Stephen Riley
Strategist and dynamic leader with over 20 years' experience providing technology to financial institutions.
Leslie Poole
Credit union industry fintech strategist. Treasurer at Lafayette FCU.
Charles E. Potts
A recognized leader in financial technology with 35+ years of hands-on experience in building and growing organizations.
Enterprise-grade lending intelligence at a fraction of in-house cost.
Institution-level licensing, tiered by loan book size.
- RangeTeller framework
- Historical data analysis
- Transparent & explainable decisions
- Email & chat support
- Quarterly strategy reviews
- Onboarding & initial data setup
- Staff training (remote)
- Product updates
- Phone support
- Monthly strategy reviews
- Onboarding & initial data setup
- Staff training (remote)
- Product updates
- Data analysis (20 hrs/yr)
- Dedicated success manager
- Weekly strategy reviews
- Onboarding & initial data setup
- On-site staff training
- Product updates
- Data analysis (80 hrs/yr)
Compare: in-house development costs $1,000,000+ and takes 10+ months. RangeTeller is ready on day one.