AI and machine learning
We build AI into working products: assistants that answer from your own data, document processing, forecasts and computer vision, with quality that is measured, not assumed. We work with commercial and open language models and choose per task.
Discuss a projectHow an assistant on your data goes together
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Your sources
Documents, databases and systems, with their access rights.
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Index
Text is split, embedded and stored where the data may live.
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Model
A commercial or an open model, chosen for the task.
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Evaluation
A test set from your real cases checks every change.
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In your product
A working feature, with quality and cost monitored.
What we do
- Assistants and agents on language models, connected to your systems and access rights.
- Search and answers over your documents and data (RAG).
- Document processing: extraction, classification, checks.
- Classification and forecasting on your data.
- Computer vision: recognition and quality control from cameras and images.
- Putting models into production, monitoring and cost control.
- Quality evaluation: test sets and metrics for every change.
What you get
- A working feature in your product or processes, not a demo.
- A test set and metrics that show how well it answers.
- Monitoring of quality and cost in production.
- Documentation of how it works and how to change it.
Where we have done this
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Scoperly
An AI assistant that works with the customer’s own key, built into the platform; the keys are encrypted with AES-256-GCM.
See the product : Scoperly
Technologies
How we can work on it
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Project (outsourcing)
A defined result: we take the task from understanding to launch and support.
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Team (staff augmentation)
Our engineers join your team and work in your process and your tools.
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Audit and consulting
A review of code, architecture, security or infrastructure: findings ranked by importance, and what to fix first.
Questions
Which models do you use?
Commercial and open language models. We choose per task: by quality, by cost, and by where the data may go.
Can our data stay on our own servers?
Yes, when the task needs it: open models can run on your own infrastructure, and access to data follows your rights.
How do you know it works?
We build a test set from your real cases and check every change against it before release.
Related directions
Tell us about your task
A few lines are enough. We will read them and reply with our questions.