Real work, across our team and research lineage.
ASTRA turns research-grade methods into AI and data systems that actually run — built with you, governed, and inside your own environment. The work spans financial services, public safety and blockchain. We describe it at work-area level; client names are available on request.
Where AI has to become a dependable system.
Across every domain, the work comes back to the same handful of problems — the points where AI has to stop being a demo and start being something an operation can depend on.
AI that runs operations
Real day-to-day work, not demos.
Data into decisions
Clear answers people can act on.
Monitoring & oversight
Watching for risk at scale.
Automating routine work
The repetitive, high-volume tasks.
Keeping AI under control
Governed and accountable.
Training your people
So your team can run it.
Three domains. One way of building.
Where capital, public safety and digital assets meet data that is fragmented, fast-moving and high-stakes — and AI has to be a system you can defend, not a black box.
Financial services
Where capital, risk and research decisions run on data that is fragmented, fast-moving and high-stakes.
Public safety
Where scams and financial crime move at scale, and the signal that exposes them sits across separate parties.
Blockchain & digital assets
Where activity is public but illegible, and the economics and the on-chain code both have to be right — and verifiable.
Across the ASTRA team and the AIFT research lineage. Client names available on request.
Anti-scam detection
Scams don't operate alone — they run as rings, scattered across public social platforms. ASTRA's anti-scam system monitors those signals at scale and relates them into a graph, so the whole network is exposed — not just the single scam.
The engine
Social-media monitoring and a graph engine that relates the signals.
Method lineage
Research-grade scam-prevention work from the ASTRA / AIFT lineage.
A developed system, built for a Hong Kong public-safety agency on real data — the partner is described in general terms.
How it works
- Signals
Public social signals
Public social platforms and channels, monitored at scale.
- Monitor
Social-media monitoring
Purpose-built infrastructure surfaces the activity that looks like a scam.
- Relate
Graph engine relates the data
Linking accounts, numbers and connections to expose the ring behind them.
- Act
Flagged to the agency
Specific, actionable intelligence for a public-safety agency.
Tell us the challenge worth solving.
These are work-area views of real engagements. Bring us your own data, your own decisions and your own constraints — and we'll sketch the system worth building. The IP stays ours; the right-of-use, and the running system, sit inside your environment.