Phinest AI

AI Engineering for Enterprise

Data engineering, workflow automation, and custom agents at Fortune 500 scale

What we do

Narrow focus.

We don't do everything. We do these things at a world-class level.

Generative AI & LLM Solutions

Harness the power of large language models and generative AI for your business. We build custom solutions using state-of-the-art LLMs, fine-tuned models, and RAG systems that transform how you interact with data and customers.

  • Custom LLM Integration
  • RAG & Knowledge Systems
  • Model Fine-tuning

AI Agents & Automation

Build intelligent agents that act autonomously to complete complex tasks. From customer service bots to workflow automation, we create AI agents that think, reason, and execute with minimal human intervention.

  • Autonomous AI Agents
  • Multi-Agent Systems
  • Workflow Automation

Deployment & Observability

Production-ready AI systems with comprehensive monitoring and observability. We ensure your AI solutions are deployed securely, scale efficiently, and remain transparent with full observability into model behavior and performance.

  • Production Deployment
  • AI Monitoring & Logging
  • Performance Optimization
Approach

How we work.

The same engagement shape whether it's a six-week proof of value or a six-month build.

01

Discover

We map the problem, data, and success criteria with your team.

02

Prototype

Tight, throwaway-ready builds to clarify assumptions and risks quickly.

03

Build

Production-grade models, pipelines and agents. Observable traces & evals.

04

Adopt

We hand off to your team with guidance and clear documentation.

Our Stack

LangChainLangGraphLangfuseDatabricksSnowflake
Team

Prague-based, multinational team.

Competition-grade Kagglers, senior engineers, and industry leaders who've shipped AI into the messy reality of FMCG and enterprise. We work remote-friendly with a collaborative hub in Prague.

Got an AI problem worth solving?

Bring it to a 30-minute call. If we're not the right team, we'll tell you who is.