AI that works in real life

Core AI applies research-grade AI to business problems that couldn’t be solved before, then does the hardest part: closing the gap between a model that works in staging and a system that holds up in production.

Bring us your hardest AI problem

How we build AI systems that last

AI expertise grounded in research

Our team publishes at NeurIPS, ICML, CVPR, and ECCV, including a Best Paper Award at NeurIPS 2025. That research shapes the architecture and methods behind every system we build.

Capable AI, kept in control

Production AI needs to behave predictably, stay within defined boundaries, and give your teams visibility when something changes.

AI built around your business

Most AI initiatives fail when technology is built in isolation from business goals. We start from outcomes: what needs to change, improve, or scale, then work backward into the architecture.

Why 1000-layer networks unlock new capabilities

Agentic commerce

The next generation of online shopping: multimodal, conversational, and context-aware. We build commerce systems that understand what a customer means, instead of just what they type.

Agentic support

Hyper-personalized customer service that resolves, routes and escalates with the judgment of a skilled human at scale.

Agentic knowledgework

AI agents that augment knowledge workers and orchestrate complex workflows, reducing cycle time without removing human accountability.

Rapid prototyping & POC

From idea to working prototype in weeks. We surface technical risks, architectural decisions and ROI signal before you’ve committed to a full build.

Custom AI solutions

Custom AI systems designed for enterprise environments and integrated with your data, tuned for your context, and built to improve over time.

Machine Learning (ML) and Deep Learning Solutions

Computer vision, predictive modeling, NLP and generative AI developed by a team with PhDs from Stanford, CMU and ETH Zurich and over 100 published research papers.

Capabilities

Agent development
Multi-agent orchestration
Context engineering & memory
Prediction & data science
Computer vision
Voice & conversation development
Natural language processing development
Generative modeling (GAN)
Reinforcement learning
Agentic protocols (ACP, MCP, A2A, AP2)
Evals, guardrails & safety
Multi-modal reasoning, video and image models-based development

The team behind Core AI

Our team brings together researchers, PhDs and engineers advancing the field of AI while applying it in production. The work doesn’t stay in papers — it shapes the systems we build every day.

Nikita Sidorevich
Vice President of AI Build

Piotr Mlynarczyk
Head of AI Engineering

Marcin Gracz
Head of AI

Adam Slucki
Head of Machine Learning

Zbigniew Sobiecki
Head of Agentic Engineering

Marek Wituszynski
Product Engineer Generative AI

Gopal Joshi
AI Solutions Consultant

Tomasz Trzciński, Prof.
Chief Scientist
LinkedIn
Google Scholar