PyModel

Our products.

These are systems we built and run ourselves. Each one names the problem it solves and how far it has actually come. Some carry production traffic today. Others are still experiments, and the label says so.

Backend systemsActive system

Operations backend

A Go backend for CRM and ERP workflows.

For Companies running sales, inventory, and billing in separate tools.

Problem
Companies run sales, inventory, and billing in separate tools, and the numbers stop agreeing with each other.
What PyModel built
A Go backend that puts customer records, orders, inventory, and invoicing behind one API.
Technical approach
PostgreSQL serves as the single source of truth across CRM and ERP workflows.
Agentic RAGActive system

Pixi-EQ

An agentic retrieval pipeline for grounded answers from a team’s own documents.

For Teams that need sources they can check instead of model guesses.

Problem
Teams need answers grounded in their own documents, with sources they can check, not model guesses.
What PyModel built
An agentic retrieval pipeline for questions over a team’s own documents.
Technical approach
Query planning, multi-step retrieval, grounded generation with citations, and answer verification.
Backend infrastructureProduction pattern

Commerce systems

A backend infrastructure pattern for checkout and merchant integrations.

For Teams whose checkout workflows depend on durable state, retries, and webhooks.

Problem
Checkout and merchant integrations fail when state, retries, and webhooks lack durable ownership.
What PyModel built
Go services backed by PostgreSQL state for commerce workflows.
Technical approach
Durable jobs, idempotency, and webhook handling keep integration boundaries explicit.
AI product conceptLabs

PyThinker Code

A coding-assistance concept for Python, TypeScript, React, and Go tasks.

For Technical teams that need a focused coding partner across languages.

Problem
Technical teams need a focused coding partner that works across languages without hiding uncertainty.
What PyModel built
A coding-assistance concept for Python, TypeScript, React, and Go tasks.
Technical approach
Precise generation, systematic debugging, optimization, and explanation without hiding uncertainty.

Your system starts with a specific operating problem.

Bring the workflow, data, constraints, and outcome. PyModel will define the smallest AI and software system that can prove value.

Discuss your initiative