We start from the workflow you want to improve, then pick the model, not the other way around.
If these sound familiar, an experienced team will save you months of trial and error.
The proof of concept worked, but accuracy, speed or cost stops you from launching.
People read documents, check numbers or tag images by hand every day.
Buyers ask why your product can't do what others now offer.
Years of documents, images or transactions sit unused.
Your engineers build the product well but haven't shipped models to production.
You need a working product to show, not slides about a future one.
We find the workflow where AI gives the clearest return and check your data is ready for it.
A working first version with the core AI feature, built to test with real users fast.
Assistants, summaries, extraction and search built on large language models with checks around them.
As an ML development company, we train and tune models in Python and TensorFlow on your data.
Image search, recognition and classification for web and mobile apps.
Collection, cleaning and storage that keep models fed with reliable data.
React, Node.js, iOS and Android apps that put the AI feature in users' hands.
Apps built with AI coding tools audited, fixed and made ready for real users.
Python for models and data, a proven web and cloud stack for everything around them.
Python
TensorFlow
FastAPI
Node.js
React
PostgreSQL
AWS
DockerYou need an AI MVP that works on real data, to show users and investors.
You want AI features inside an existing product without derailing the roadmap.
Your team does repetitive work with documents or data that AI can take over.
Recommendations, image search and product discovery that help shoppers find what they want.
Pick the workflow where AI gives the clearest result.
A first version real users can try.
New AI features in an existing web or mobile app.
Turn a notebook or prototype into a reliable service.
Audit and stabilize an app generated with AI tools.
Reduce model and infrastructure spend as usage grows.
We map the workflow, review your data and agree how we'll measure if the AI feature works.
A quick test of models and approaches on your real data, before building the full product.
The AI feature, the app around it, and the checks that catch wrong outputs.
Release to real users with monitoring of quality, speed and cost.
We tune models, prompts and infrastructure based on how people actually use the product.
2-week fixed-price start
Fixed price.
For teams with an idea or a prototype who want a clear plan before building.
Workflow and data review
Model and approach options
Quick prototype on your data
Scope, risks and architecture
Estimate for the AI MVP
Engineers and data specialists on your product
Monthly, team-based.
For products that need ongoing AI and ML development alongside the core roadmap.
Python and ML engineers
Web and mobile developers
QA for AI outputs and the app
Regular demos and reports
Scale the team as the product grows
An AI-powered payroll validation platform that extracts data from salary slips, verifies payroll calculations, and automates reporting and approval workflows for HR and finance teams
An AI-powered fashion commerce platform that helps retailers deliver personalized shopping experiences through virtual styling, AI recommendations, image search, and intelligent product discovery.
We build AI into products people use every day, and we care as much about the app around the model as about the model itself.
ML engineers, web and mobile developers, designers and QA in one team.
On an airline web and mobile app we built, baggage weigh-in became 33% faster.
70+ products launched for startups, SMBs and product companies.
The biggest fundraising round by one startup we worked with was $12M.
Projects can start in about two weeks.
We pick the model to fit the problem, not the hype.
Wrong outputs are caught before they reach users.
We watch model and infrastructure spend from the first prototype.
If AI isn't the right tool for a task, we say so.
Our team in Europe overlaps with part of the US working day.
No sales pitch
Tell us about your AI idea
Describe the workflow, your data and where you are today. We'll come back with an approach and a quote. If AI isn't the right fit, we'll say so.
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