Software and AI consulting studio.

We help teams move from idea to working product – fast, safe, and scalable.

Consulting

We help teams plan and make technical decisions that actually hold up in production.

Build your MVP fast

We launch products fast. No noise, no over-engineering, but with a clear path for future growth.

Step into an existing product

We can join an ongoing project, untangle what's happening, fix what slows you down, and guide the next steps.

Bring AI into your workflow

We show where AI makes sense, help you choose the right models, and tailor them to your product and data.

Work with your team or build for you

We coach, co-build, or take on full delivery – whatever helps you move faster.

What we do

We help companies turn AI into working systems.
We step in, dive deep into the context, propose an AI-powered solution, and take it all the way to production.

01

Understand the problem

We analyze your data, processes, and constraints to understand where AI will actually make a difference and where it won’t.
No template solutions. No “LLM for the sake of having an LLM”.

02

Design & build the system

We design an AI system tailored to your use case and build the full pipeline: data, training, inference, and integration.
We use fine-tuning and compact models where they deliver better quality and better economics.

03

Make it production-ready

We help launch the system into production: monitoring, quality evaluation, retraining, and cost control.
So that AI continues to work and deliver value after the release.

Systems we've built

Many of our projects are confidential, that's why we describe systems and challenges, not company names.
Below are examples of AI-powered systems we've designed and shipped in production.

A

Text Intelligence Platforms

Large-scale pipelines for classifying and clustering unstructured text data such as comments, messages, and feedback streams. Hierarchical topic models, trend detection, and analytics layers help teams understand what is being discussed, by whom, and how it evolves over time.

B

Document AI & OCR Automation Pipelines

OCR-based systems for extracting, validating, and structuring data from documents and forms. Built to automate bureaucratic workflows, reduce manual processing, and integrate cleanly into existing operational systems.

C

Personalized Audio & Multimodal Content Systems

Multi-stage pipelines combining collaborative filtering, fine-tuned models, LLMs, and text-to-speech. Built to generate and deliver personalized audio content at scale, with continuously retrained recommendation models and automated production workflows.

D

Tailored Generative Image Systems

End-to-end services with custom fine-tuned generative models (LoRA) application. Automated training, validation, and generation pipelines enable consistent, personalized visual content at scale.

E

Decision Systems for Risk & Debt Collection

ML-driven decision pipelines combining scoring models with Thompson sampling–based optimization. Designed to continuously adapt strategies, prioritize actions, and learn from outcomes in high-impact financial workflows.

F

Production AI Infrastructure & MLOps

Training, deployment, monitoring, and retraining pipelines that keep AI systems observable and reliable. Designed to support fine-tuned models, multi-tenant setups, and long-term operation in production environments.