Pynest

Pynest builds and ships production-grade agentic AI — multi-agent systems, LLM engineering, and AI embedded directly into the software development lifecycle. While much of the market is still stuck at the proof-of-concept stage, we put agentic systems into live products.

What we do

AI in the SDLC — agentic code review in CI, automated test generation, and auto-documentation that ships inside your pipeline, not around it.

Agentic AI & LLM systems — multi-agent orchestration, agent memory, retrieval (RAG) over your own data, and human-in-the-loop control.

LLM cost & reliability engineering — multi-provider routing by price and latency, with token-level cost tracking.

AI adoption from zero — for teams with budget and a mandate but no in-house AI team, we define where AI fits and ship the first working use case in weeks.

Proof from our work. For a global research and scientific-publishing enterprise we built a production multi-agent platform — orchestration, agent memory, data anonymization, and human-approved outputs — that cut a core go-to-market workflow from roughly two weeks to two days, with 3x fewer manual final reviews. We have also delivered an agentic DevOps toolkit on Claude Code (feature lead time 5 days to 2, about a 40% velocity increase), an AI merge-request reviewer in CI (review turnaround ~2 days to ~4 hours, 7% fewer production bugs), and a RAG assistant over closed research (accuracy 75% to 85%).

How we engage. End-to-end product delivery, dedicated AI teams, and staff augmentation. Built for US, UK and Western-European mid-market engineering organizations, with 4-6 hours of US time-zone overlap. 250+ in-house engineers; Python, JS, TS, Go, and modern cloud and data stacks. Free technical consultation within 24 hours.