End-to-end AI delivery
We take AI from prototype to production
Computer vision, LLMs, agents, decision intelligence, trading — with ownership and risk controls.
No pitch. No obligation. We'll tell you if we're a fit.
Practice 1
Applied AI Systems
Production AI for agriculture, industry, and real-world operations. We handle messy data, edge constraints, and systems that must work 24/7.
- ✓ Computer vision — edge + cloud hybrid inference
- ✓ LLMs, RAG, and agent pipelines
- ✓ Drift monitoring and active learning
- ✓ Production SLAs and governance
Practice 2
FinTech & Trading Systems
Algorithmic trading, decision pipelines, payments, and execution systems. Closed-loop validation, risk controls, and reproducible research — built for live markets.
- ✓ Cyclic validation + Omega Ratio scoring
- ✓ Model committee with confidence gating
- ✓ Stress testing — slippage, delays, volatility
- ✓ Circuit breakers and auto stop-loss
After a discovery call you get
We're a fit if you:
Need a production system
Not a demo—you need something that survives real use.
Care about ownership
Clear scope, accountable leads, no handover gaps.
Prefer clarity first
Risk map, boundaries, and milestones before build.
How we deliver
Three principles behind every system we ship.
Key delivery principles
Production-first AI
Performance budgets, observability, drift monitoring from day one.
Risk-aware delivery
Compliance and reliability built into architecture, not bolted on.
End-to-end ownership
Clear milestones, fast feedback loops, accountable leads.
Lab metrics don't pay the bills. Production metrics do.
“They delivered clarity and ownership. No handover drama.”
— CTO, FinTech client
Where it breaks for others
Data drift, performance constraints, compliance, ambiguous ownership—we build with these as first-class requirements so they don't surprise you later.
Unclear system boundaries
Models work in notebooks, then fail in production workflows.
Ownership gaps
Nobody owns monitoring, incident response, or ongoing tuning.
Compliance surprises
Security, audit, and data policies arrive after the build.
How we work
Discovery → Build → Support. Clear milestones, senior-only engineers—you always know who owns what.
Discovery
Risk map
Build
Integrate
Support
Monitor
Phase 1
Discovery & risk map
Architecture, data readiness, constraints that shape delivery.
Phase 2
Build & integrate
Production pipelines, systems integration, staged rollouts.
Phase 3
Support & improve
Monitoring, model governance, continuous improvements.
Trusted by teams
Applied AI across CV, decision systems, and hybrid pipelines. Public case studies and confidential clients. References available on request.
AgrigateVision
Applied AI — agriculture, robust systems under noisy data
Steve — Trading Bot
Applied AI — decision system with risk controls
MTRobot
FinTech — institutional trading robots in 3 clicks
RoomIQ
Applied AI — hybrid experience across real devices
+ confidential clients across FinTech, AgriTech, and Retail
References available on request
Ready to build?
Tell us your constraints and we will design the system around them.
No pitch. No obligation.