Deep Finery

Refine Static Business Rules into Adaptive Intelligence.

DeepFinery is the end-to-end platform that ingests text-based business rules, generates synthetic data, and fine-tunes enterprise-grade Small Language Models (SLMs) automatically.

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Why Deep Finery?

The DeepFinery Studio

Your team shouldn’t need a PhD in Machine Learning to update business logic. Our UI abstracts the training complexity.

Text-First Editing
Logic Version Control
Drift Detection

Why knowledge Studio?

Business Ontology Studio

Business owners shouldn’t need to learn ontology languages to formalize their logic. Write rules in plain English and our studio converts them into a living knowledge graph with a chatbot and AI agents on top.

Natural-Language to Graph
Semantic Rule Validation
Chatbot + Agent Layer

service

The Finery Pipeline

Ingest

Upload your raw policy documents, Drools rule files, or large compliance manuals into the system, where they are automatically parsed, analyzed, and transformed into a clean, structured representation of your logic and decision pathways.

Synthesize

The platform then generates thousands of high-quality synthetic “Prompt–Response” training pairs that explore every possible scenario, exception, and edge case within your rules, ensuring the model sees the full spectrum of your decision logic.

Distill

Using Auto-Fine-Tuning (QLoRA), the engine trains a compact 3B–7B model to internalize, replicate, and generalize your logic patterns with near-perfect accuracy, turning your rules into a lightweight, intelligent reasoning system.

Serve

Finally, deploy your distilled model as a portable Docker container or a secure API endpoint, giving you full ownership of the weights and the ability to run the solution fully on-premises or inside your existing infrastructure.

We believe Open & Hybrid is the Future of AI

Different Industries

Every industry runs on logic: policies, regulations, eligibility criteria, workflows, exceptions. The Business Ontology Studio turns that logic from scattered documents into a living knowledge graph that teams can query, validate, and automate, without rewriting everything into code.