Selected by NatWest, Barclays & BNP Paribas

More loans.
Zero extra risk.

Explainable AI layer for creating transparent lending strategies. A data science framework that analyses your lending history to increase approvals without adding risk.

Schedule a Demo How It Works
26%
Rejected borrowers
that qualify
20%
Fewer rejections
at live UK client
2 days
Deployment
time
100%
Explainable
decisions
The Problem

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.

26% of rejected borrowers could have been approved

In-house models cost a fortune

Building an advanced assessment tool in-house means 10–14 months of development, at least $1.5M in salaries, and $150K per year in ongoing maintenance. Most community lenders simply can't justify that spend.

$1.5M+ to build in-house

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.

Regulations demand transparency
The Solution

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.

"The framework that turns your own historical data into transparent, compliance-ready lending strategies — in days, not months."
01

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.

Your data. Your market. Your edge.
02

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.

No black boxes. Full audit trail.
03

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.

More loans, same risk profile.
How We Compare

The only solution that's affordable, transparent, and local.

Low cost Interactive expert tuning Inherently transparent
RangeTeller
Zest AI, Scienaptic AI, Underwrite.ai, Taktile Post-hoc only
GDS Link, Provenir Partial Partial
AI-assisted in-house developers Partial
In-House Development
Development cost $1M – $2M
Development time 10–14 mo
Annual maintenance $100K–$200K
Success probability < 100%
vs
RangeTeller
Development cost $0
Deployment time < 1 FTE month
Annual maintenance $0
Success probability 100%
Traction & Validation

Trusted by lenders. Validated by banks.

Banks Validation

Selected by NatWest Accelerator, Barclays Eagle Labs, and BNP Paribas Innovation Labs.

Product Readiness

Deployment-ready, compliance-first credit decisioning — explainability, audit trail, and secure deployment.

US Support

Five-person advisory board, including four US fintech experts guiding US market entry.

The Team

Built by people who know finance and data.

Daniel Goldstone, CEO

Daniel Goldstone

Co-Founder & CEO

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, CTO

Alexander Shapiro

Co-Founder & CTO

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.

Advisory Board
Bryan Clagett

Bryan Clagett

Founder of a strategic consultancy serving US financial institutions and fintech companies.

Nick Hawkins

Nick Hawkins

13 years in UK Government and Parliament. Deputy chairman of the all-party committee on financial services. Corporate Barrister.

Stephen Riley

Stephen Riley

Strategist and dynamic leader with over 20 years' experience providing technology to financial institutions.

Leslie Poole

Leslie Poole

Credit union industry fintech strategist. Treasurer at Lafayette FCU.

Charles E. Potts

Charles E. Potts

A recognized leader in financial technology with 35+ years of hands-on experience in building and growing organizations.

Pricing

Enterprise-grade lending intelligence at a fraction of in-house cost.

Institution-level licensing, tiered by loan book size.

Community
Smaller community lenders
$36k / year
Entry tier, institution-wide licence
Platform
  • RangeTeller framework
  • Historical data analysis
  • Transparent & explainable decisions
  • Email & chat support
  • Quarterly strategy reviews
Services included
  • Onboarding & initial data setup
  • Staff training (remote)
  • Product updates
Get started
Regional
Mid-size regional lenders
Custom
Priced to loan book size — request a quote
Everything in Community, plus
  • Phone support
  • Monthly strategy reviews
Services included
  • Onboarding & initial data setup
  • Staff training (remote)
  • Product updates
  • Data analysis (20 hrs/yr)
Book a demo
Enterprise
Large regional & national lenders
Custom
Priced to loan book size — contact sales
Everything in Regional, plus
  • Dedicated success manager
  • Weekly strategy reviews
Services included
  • Onboarding & initial data setup
  • On-site staff training
  • Product updates
  • Data analysis (80 hrs/yr)
Contact sales
All plans include secure cloud or on-premise deployment.
Compare: in-house development costs $1M–$2M + 10–14 months. RangeTeller is ready on day one.