Deterministic AI · Built in Germany

Sovereign AI for modern lending.

One fabric that automates origination inside the systems you already run. No core migration. No data leaving your walls. Live in 12 weeks.

Live decision stream● on-prem
LOAN-20481 · income_ratioAPPROVE 0.97
KYB-88213 · passport_matchVERIFIED 0.99
COV-1102 · dscr_breachFLAG 0.94
<300 MB modelCPU only0 bytes egress
EU AI Act readyISO/IEC 27001:2022GDPRDORASR 11-7BSA / AMLKYC / KYBNCUAAir-gappedEU AI Act readyISO/IEC 27001:2022GDPRDORASR 11-7BSA / AMLKYC / KYBNCUAAir-gapped
The problem

Lending can't keep up with AI.

Fewer than 5% of regulated lenders run meaningful AI automation. The options on the table are all the wrong shape.

01

Trapped in the core

Lending workflows live inside legacy cores with multi-year change windows. No room to ship AI.

02

Incumbents bolt it on

LOS and LMS giants ship on 18-month cycles and wrap third-party GenAI around legacy platforms.

03

GenAI guesses

Cloud-only, probabilistic, hard to audit. The wrong shape for decisions a regulator will read.

The difference

Deterministic, not probabilistic.

Chain fifteen LLM calls at 90% each and you are right 20.6% of the time end to end. Toggle to compare.

Synapze TinyAI
Cloud GenAI
Synapze TinyAI
95%+

accuracy on your task, after fine-tuning on your data

Same input, same answer, every time
Per-token attribution on every decision
Runs on CPU, inside your perimeter
Fixed cost: you own the model
Cloud GenAI
70–80%

typical accuracy on narrow regulated tasks

Probabilistic output, can hallucinate
Black box to auditors
Data leaves your environment
Per-token billing that scales with volume
How it works

A thin fabric beside your stack. Not another platform.

One API surface. Sovereign AI inside your perimeter. Rip-and-replace takes 18–36 months. The fabric goes live in 12 weeks.

Core
LOS
LMS
CRM
DMS
Synapze Intelligent Process FabricTinyAI models · rules engine · human-in-the-loop · full audit trail
Verify
Decide
Monitor
Predict

Deployed in 12 weeks. No core migration.

Results

Numbers a CFO and a regulator both like.

95%+

Model accuracy

After fine-tuning on your data

10x

Lower cost per application

$2K down to $200

12wks

To first workflow live

No core migration

<6mo

Payback period

60–70% ROI, proven in a pilot

The engine

TinyAI. Small models that do one thing perfectly.

Purpose-built models, not LLMs. Each one owns a single decision (a document extractor, an onboarding verifier, a covenant monitor), and every output comes with a full reasoning trace.

<300 MB

Model footprint

CPU only

No GPU, no cloud contract

~200

Labelled examples to train

<1 hour

Zero to production model

Traction

Six live engagements across three regions.

Hungary / CroatiaIn production

Top CEE bank

Loan contract generation in the servicing flow.

GermanyIn production

Regional bank

Transaction monitoring in production; onboarding next.

GermanyPilot

Retail lender

Headless LOS for consumer loan applications.

GermanyPilot

Loan aggregator

Ticklers and covenant updates across loan documents.

United StatesDesign

Community bank

Headless LMS for covenant monitoring.

United StatesLOI

BaaS sponsor bank

Onboarding delivered as a platform service.

Client identities withheld for confidentiality. References available under NDA.

Get started

Prove it on one process. Then decide.

A 30-minute discovery call, a no-obligation ROI assessment, then a 4–6 week pilot on your infrastructure.

No GPU procurement · No core banking disruption · Live in 12 weeks