Private AI on your servers
Open models running on your own hardware, on CPU or GPU, so prompts and documents never leave your network.
SOVEREIGN AI
AI that works for you.
On your own servers.
Private, open AI built into your applications and connected to your data, with nothing sent to anyone else’s cloud unless you choose to.
WHAT WE DO
Seven ways
we bring AI in.
AI inside your applications
Assistants, smart search, drafting and daily briefings built into the systems your teams already use.
AI connected to your data, safely
Model Context Protocol (MCP) servers that let AI tools read and act on your data with the same permissions and audit trail as a person.
AI that spots anomalies
Models that learn normal behaviour in your security events, data flows and API traffic, and flag what breaks it for a person to review.
AI for learning
Question generation, instant feedback and spaced repetition that make training stick.
AI governance
Policies for acceptable use, data handling, licence review of AI-assisted code and human oversight of decisions.
AI skills for your team
Hands-on training so engineers and managers use AI with confidence and judgement.
AI IN OUR PRODUCTS
Where AI
works for you.
Madar Assist
A small model on your own server answers questions, explains reports, drafts replies and points out what to act on. An MCP server with a test console opens Madar to AI tools, with every action audited.
ExploreSAFI
AI learns the normal rhythm of your security events and flags what breaks it, alongside the readable rules. Available with SAFI release 14 as an add-on.
ExploreMAJRA
AI watches every data flow on NiFi and Vector and flags drops, spikes, schema drift and late data before they reach downstream systems.
ExploreRASEEKH
Built around AI: a local model on your own host writes questions from your material and grades answers in seconds; learners answer over WhatsApp or email.
ExploreAPI exchange
Anomaly detection on exchange traffic, and AI agents that call services under the same consent and audit rules as any system.
ExploreAI in the Academy
Learners explore how AI writes code, and why understanding still matters.
ExploreAI AND OPEN SOURCE
AI is a friend of open source.
Code to innovate, not to re-create.
The world has already written a great deal of excellent open-source software. AI helps us stand on it, not copy it.
Build on what exists
Use AI to find, read and understand the open-source projects that already solve your problem, then build on them instead of rewriting them.
Innovate where it matters
Spend the time AI saves on what is new: your domain, your users, your ideas.
Respect the licence
AI-assisted code gets the same licence review, attribution and SBOM as any other code we ship.
Keep data at home
Local, open models run on your own servers, as in Madar Assist and RASEEKH, so nothing leaves without your say.
Give back
When AI helps you fix or improve an open-source project, contribute the change upstream.
AI suggestions are reviewed by people before they change records or reach customers. Model choice, hardware and performance are agreed per project and measured on your own data.
STAY CURIOUS
Bring AI home.
Tell us what you want AI to do, what data it may see, and where it must run.