Abstract neural network nodes

JDM INC — AI-NATIVE FINTECH

PROFESSIONAL-GRADECAPABILITY.MINUS THE HIRE.

Twelve domain-specialized QLoRA adapters live on a self-hosted Qwen2.5 base, hot-swappable per request. Sub-500ms inference, single-GPU deployment, on-prem or VPC. Phase 1 pilot open to 3–5 design partners.

3 of 5 slots remaining
<500ms
Latency incl. adapter swap
12 → 400+
Adapters in development
~75%
Cheaper than full-precision
79D 16:18:46
Countdown to pilot
12 ADAPTERS LIVE — 400+ IN DEVELOPMENT//PROPRIETARY DATA. PROPRIETARY PIPELINES.//QWEN2.5 BASE · 12 QLORA ADAPTERS · HOT-SWAPPABLE//SUB-500MS INFERENCE INCL. ADAPTER SWAP//~75% CHEAPER THAN FULL-PRECISION//ON-PREM · VPC · SINGLE-GPU DEPLOYMENT//CUSTOM MCP SERVER — AGENT-NATIVE//DATA NEVER LEAVES YOUR ENVIRONMENT//PHASE 1 — 3–5 DESIGN PARTNERS OPEN//
SEC.01The Manifesto

Four apps. Four underserved fintech niches. First of their kind.

Our niche selection and sizing came out of extensive market research run on our own in-house ML pipelines, on our own hardware, against proprietary datasets that cannot be sourced anywhere else. That data advantage is our core differentiator — and it compounds with every model we train.

01
FINTECH — NICHE 01

A market the incumbents never modeled.

Surfaced, sized, and scored by our in-house ML pipelines against proprietary datasets — validated before a single line of product code was written. First of its kind for its audience.

In build
02
FINTECH — NICHE 02

Purpose-built, not repurposed.

Not a horizontal tool with a fintech skin — an application designed from the data up for one niche's exact workflows, language, and edge cases.

In build
03
FINTECH — NICHE 03

Underserved by design, not by accident.

Incumbents skip these audiences because their data says the markets are too small. Our proprietary data says otherwise — and we've staked four products on it.

In build
04
FINTECH — NICHE 04

The advantage that compounds.

Every model we train on our own hardware deepens the dataset advantage the next app is built on. Each launch makes the moat wider.

In build
Abstract dark geometric architecture
Chosen by our pipelines. Proven by our data.
SEC.02The Adapter Portfolio

Twelve specialized B2B fintech ML adapters live today. Four hundred-plus in development.

Every app we ship trains the next adapter. The portfolio is a second revenue line — available to other builders to license or buy outright.

Portfolio growth — 90-day projection
12adapters
12 live400+ target
Every shipped app trains the next adapter
Browse the full catalog with capabilities, sample I/O and pricing.
SEC.03The Stack

Self-hosted by design. Sensitive data never leaves our environment.

A Qwen2.5-1.5B base with twelve 4-bit QLoRA adapters, hot-swapped by our FastAPI inference server and exposed to agents through a custom MCP server. Sub-500ms latency including the adapter swap, on a single GPU — roughly 75% cheaper to run than full-precision inference. On-prem or VPC by default; NVIDIA NIM is on the production roadmap for high-throughput workloads.

Self-hosted server infrastructure
On-prem inference
CLIENTS & AGENT TOOLING
MCP SERVER — CUSTOM BUILD
12 QLoRA ADAPTERS · HOT-SWAPPABLE
QWEN2.5-1.5B BASE MODEL
FASTAPI INFERENCE SERVER
SINGLE-GPU DEPLOYMENT — OUR ENVIRONMENT

No third-party inference APIs. No data egress. Every request — from underwriting to cash-flow forecasting — resolves inside infrastructure the customer owns or we operate on their behalf.

SEC.05Pilot Waitlist

PILOT 001.
Doors open in ~90 days.

Four apps, four niches. Early access goes to the list first — operators, partners, and builders who want in before launch.

003operators in line
3 of 5 slots remaining
SEC.06Contact

Serious partners, step forward.

Co-development
Build the next niche app with us
Distribution
Put our apps in front of your audience
Adapter licensing
License or buy from the 400+ portfolio