SOVEREIGN OPEN-SOURCE PLATFORMS · BUILT, HANDED OVER, SUPPORTEDWatch SAFI work, live

MAJRA · DATA INTEGRATION

MAJRA مجرىMove data between systems with provenance.

MAJRA is the channel data flows through. Sources are onboarded securely, collected at the edge, transformed, routed by policy and observed end to end, with the provenance of every record kept. AI watches every flow and raises the alarm when the data stops looking normal.

WHAT MAJRA DOES

Data integration.
On an open core.

  • Secure source onboarding
  • Edge collection with MiNiFi and Vector
  • Transformation and routing by policy
  • AI anomaly detection on every flow
  • Provenance for every record
  • Back-pressure and guaranteed delivery
  • Observability across every flow
Offered

Open-source core: Apache NiFi · MiNiFi · Vector. Delivered, handed over and supported by Alin Li, and able to carry your own product name.

Data integration

AI INSIDE MAJRA

AI that knows
when data looks wrong.

A pipeline can deliver every record and still deliver the wrong data. MAJRA’s AI layer watches the flows themselves.

AI

Learns each flow’s normal

Volumes, record shapes, timing and sources are learned per flow, including the daily and weekly rhythm.

AI

Flags anomalies in flight

Sudden drops or spikes, silent sources, schema drift, and late or duplicated records are flagged before they reach downstream systems.

AI

Explains with provenance

Each alert shows the baseline it broke and links to the provenance of the records involved.

AI

Runs beside the pipeline

The models run on your own servers next to NiFi and Vector. People decide what happens next.

STAY CURIOUS

See MAJRA on a lab estate.

A short demo with an engineer, then a time-bounded proof of concept on your own data.

Request a demo