Available for new projects

Building Beyond the Future with AI & Engineering.

We design and build production software for hard data problems: computer vision, document intelligence and full-stack platforms. From first prototype to a system your team relies on.

Next.js
Firebase
React Native
Python
TypeScript
TensorFlow
PostgreSQL
Docker
AWS
Tailwind CSS
Next.js
Firebase
React Native
Python
TypeScript
TensorFlow
PostgreSQL
Docker
AWS
Tailwind CSS
Next.js
Firebase
React Native
Python
TypeScript
TensorFlow
PostgreSQL
Docker
AWS
Tailwind CSS

What we do

Our expertise

We close the gap between promising AI and software that works in production.

AI & Computer Vision

Extract structure from documents, drawings and images: OCR, layout understanding, and geometry-based extraction for technical documents.

OCRDocument AIVision

Full-Stack Engineering

Secure, scalable web platforms: APIs, background processing, dashboards and role-based access, containerized for any cloud or on-premises deployment.

ReactFastAPIDocker

Data Intelligence

Turn unstructured data into decisions with LLM integration, NLP and analytics pipelines built around your data rules.

LLMsNLPAnalytics

Our products

Products built on our engineering

The clearest proof of how we work is what we have shipped ourselves.

DeepWell: well log PDFs to curve data

DeepWell turns well log PDF prints into depth-indexed curve data for the energy industry. It reads the vector geometry inside the file instead of tracing images, handles wrap-around traces and multi-page logs, and keeps analysts in control with a review step and a QC report for every document.

  • Vector-native extraction
  • Analyst-reviewed workflow
  • Runs in the customer's environment
Ask us about DeepWell

How we work

From idea to production, in stages you can see

  1. 01

    Discovery

    We study your data and your process, and agree on what success looks like, in measurable terms.

  2. 02

    Proof of concept

    A focused prototype on your real data answers the hardest technical question first.

  3. 03

    MVP

    A working product in your users' hands, with the workflow, access control and reporting it needs.

  4. 04

    Production

    Hardening, deployment in your environment, documentation and handover, or ongoing support.

This is the path we followed to build DeepWell ourselves, from early R&D to a production release.

Let's build what's next

Tell us about the problem you're solving and we'll come back with next steps, usually a short call to scope it.