WHAT WE DO
Services
Broad capabilities at holding level. Product details live on dedicated product sites.
We take problems from discovery to production — designing, building, and operating AI systems that hold up in real operational environments.
The two engagements we deliver end to end
Application development, and IoT research and development — scoped, built and handed over by one team.
Application Development Services
Discovery to production: web, mobile, API, data platforms and AI features — designed, built, tested and handed over with the practices that keep them running.
R&D IoT for Business and Government
Sensor to dashboard: device and sensor selection, connectivity, edge compute, telemetry pipelines, dashboards and alerting — from pilot to rollout.
AI Computer Vision
Design, deploy, and improve computer vision systems for real operations.
- Object detection, segmentation, tracking, and scene understanding
- Multi-camera analytics and event pipelines
- Edge and on-prem inference deployment
- Custom training, evaluation, and iteration cycles
- Integration with VMS and existing operational systems
Monitoring & Situational Awareness Platforms
Platforms that turn scattered signals into situational awareness.
- Real-time monitoring dashboards and alerting
- Event monitoring and anomaly detection pipelines
- Entity correlation across distributed data sources
- Geospatial and situational-awareness layers
- Role-based access with audit trails
Offline & Private AI
Private AI deployments where data stays inside your controlled environment.
- Private LLM deployment — on-prem, VPC, or air-gapped
- Retrieval-augmented knowledge systems over internal data
- Agentic workflows with approvals and audit trails
- GPU infrastructure setup, orchestration, and observability
- Integration with ERP, ticketing, and internal tools
MLOps & Managed Operations
Keep delivered systems healthy, monitored, and improving after go-live.
- Deployment pipelines, monitoring, and alerting
- Model drift detection and scheduled retraining
- Incident response and performance tuning
- Documentation and handover to in-house teams
- Retainer-based operations for critical systems
HOW WE ENGAGE
Engagement Models
How we work with clients — from a short assessment to a long-term operating retainer.
Assessment & Advisory
A focused review of your problem, data, and constraints — with a written recommendation.
Proof of Concept
A scoped prototype built in 2–6 weeks to validate technical feasibility on your data.
Production Delivery
Hardening, integration, and rollout of the system into your operational infrastructure.
MLOps Retainer
Ongoing monitoring, retraining, and improvement of systems we deliver.
What that looks like in production
Screens from the systems we run — the operational map, the entity graph, the situation picture.
Have a problem worth solving?
Tell us about the operational challenge and we will propose the right engagement model.