gradify.ai

About us

Our mission

We ship AI that works in production. Not a slide deck, not a demo that dies on contact with real data. Systems that are still running years later.

We do work we are proud of. On time, documented and honest about what it can and cannot do.

We only build what we believe in. If we think a project will not pay off, we say so before you spend the money.

Kris Palczewski

Kris Palczewski

Founder & CEO

Kris has spent a decade building ML research, data platforms and, most recently, production AI agents and MCP infrastructure for startups, scale-ups and Fortune 500 companies.

For clients, that means the person on the first call is the same person who designs the system and reviews the code.

Our story

gradify.ai started in Warsaw in 2021 as a data science boutique with a simple idea: help companies get value from their data without the usual overhead.

The name is a shortened form of "gradient", as in stochastic gradient descent, the optimization that quietly trains most modern models. It reflects how we like to work: pick an objective, measure, improve step by step. The company was originally called "Optimal Gradient". We optimized that too.

Since then the tools have changed. Open source frameworks, cloud platforms and now large language models have made serious AI accessible to almost any company, and just as easy to get lost in. Our job is to cut through that: pick what works, ship it and hand it over documented.

We keep the team small and senior, and draw on a network of engineers we have worked with before when a project needs more hands.

Illustration

We are tech agnostic

We build on what your problem, your team and your budget call for, not on the framework we find most convenient.

We do have opinions about what works. We have shipped on AWS and GCP, on PyTorch and every major LLM provider, on Snowflake, BigQuery and ClickHouse. But every project starts with your constraints: existing technical debt, appetite for change and the cost of running the thing after we leave.

It also means staying current. We keep testing production-ready open source and vendor tooling, so the choices we make for you reflect what is best today rather than what we learned three years ago.

Anthropic
Google Gemini
Mistral AI
Hugging Face
LangChain
LangGraph
Model Context Protocol
PyTorch
Python
TypeScript
Next.js
React
FastAPI
Docker
Kubernetes
Terraform
Google Cloud
PostgreSQL
Elasticsearch
Redis
MongoDB
Apache Airflow
Snowflake
ClickHouse

We are tech
agnostic

Want to join or partner with us?

We like working with people who are ahead of the curve, and we are happy to share what we know and learn from others.

Research labs and institutions that need industry experience: get in touch. Contractors in data science, data engineering, AI engineering or data visualization: we keep growing the network we draw on for projects.

And if you are an experienced engineer, or an ambitious almost-intern, with a strong feeling that you would fit at gradify.ai, write to us. We sometimes need specific skills or attitudes for temporary or long-term collaboration.

Think big, act bigger.

Illustration

Big thanks to Ania Bui for the logo. You can see more of Ania's work at anibui.com

Let's talk

Tell us what you are trying to build, or what is not working. You will get an honest answer on whether we can help and what it would take.

We reply to every message within two business days.