AI & Automation
Ask your data anything.
Practical AI — natural-language assistants over your databases, document search and workflow automation.
AI is only useful when it is grounded in your data. We connect models to your systems — securely, and with your data staying yours.
We build focused AI tools that save hours every week: assistants that answer questions from your database in plain language, search across documents, and automate repetitive steps. Private, self-hosted models are an option when data must not leave your network.
What we build.
Core capability
Natural-language assistants over SQL databases.
Private LLMs with Ollama — data stays in-house
Document and knowledge-base search (RAG)
Workflow automation and integrations
Report generation and summaries
Proof-of-concept in weeks, not months
Evaluation and guardrails for reliable answers
How we work.
- 1
Identify
We find one high-value, repetitive task where AI can save real time.
- 2
Prototype
A working proof of concept on your data, with measured accuracy.
- 3
Harden
Security, access control, guardrails and evaluation before wider rollout.
- 4
Scale
Integrated into your tools, monitored, and improved with real usage.
Stack.
- Models
- Hosted LLM APIs or private models via Ollama (e.g. Gemma)
- Backend
- Spring Boot · Python where needed
- Use cases
- Text-to-SQL · document Q&A · summaries · automation
- Data
- Read-only access, role-based permissions, audit logs
- Typical POC
- 3–6 weeks
Questions? Answers.
Is our data safe?
Yes. We can run models privately on your infrastructure, connect with read-only access, and log every query.
How accurate are the answers?
We measure accuracy on your real questions during the proof of concept and add guardrails before rollout.
Do we need a big budget to start?
No. Most clients start with a focused proof of concept on one use case.
Your idea.
Our engineering.
Tell us what you want to build. Within one working day, you’ll have a clear next step.