From mathematical models to intelligent infrastructure.
We transform research into working technology. Six disciplines and two capability surfaces turn complex problems into systems that actually run.
What we do
Two capability surfaces.
- AI R&D
- Optimization
- Mobility
From research to runtime
AI-driven systems that support smarter decision-making, automation, prediction, optimization and real-time intelligence.
- Foundation model fine-tuning and evaluation
- Adapt base models to your domain with measurable gains.
- Reinforcement learning over operational telemetry
- Learn from live system feedback, not just static data.
- Decision intelligence in your stack
- Predictive maintenance, anomaly detection, human-in-the-loop automation.
- Compute
- Privacy
- Smart city
Hybrid by design
Tools for decentralized and hybrid workloads, so organizations manage compute efficiently with privacy, control and scale.
- Edge, cloud and on-prem scheduling
- Place workloads wherever they run best.
- Cost-aware placement policies
- Balance performance against spend automatically.
- Compute where data lives
- Federated training pipelines and confidential compute enclaves.
Research by product
The research behind each SDK.
Every SDK starts as an open research question in the lab. These are the questions each team works on, and what has come out of them so far.
Perception SDK
Real-time vision at the edge
Key questions
- How do you keep identity on every player across several cameras in live sport?
- How do you know a deployed model is drifting before accuracy drops?
- How small can a model get and still run on camera-class hardware?
Outcomes
- Live basketball tracking demo, presented at a summit in Vancouver
- Data, model and runtime unified into one governed lifecycle
- Vision intelligence for warehouse and industrial operations
01 / 05, Perception SDK
Our approach
Five steps. One research loop.
- 01
Research the problem
We study the system, its movement, its constraints and its inefficiencies.
- 02
Model the complexity
Applied mathematics, machine learning and operations research explain the system.
- 03
Build the technology
Research becomes algorithms, APIs and deployment-ready SDKs.
- 04
Optimize for the real world
We test, refine and scale in real operational environments.
- 05
Preserve security and privacy
Systems that respect data ownership, privacy and security.
Production feeds the next round of research
Bring us the hard problem. We bring the SDK.
Research that leaves the lab and runs on your terms: your hardware, your data, your sovereignty.