SLMs: Less is More
January 2026
Most AI projects fail between prototype and production. We close that gap — with domain expertise, hardware-specific optimization, and a performance gate at every stage.
Talk to usReal data or synthetic data — we handle both
Clean, format, label, and prepare data for model training with domain expert review. Or engineer synthetic datasets validated against downstream model performance.
Learn moreA general model answers general questions. A fine-tuned model does your job
Adapt foundation models — Llama, Mistral, Qwen, Phi — for specific operational domains. Every model validated against benchmarks before delivery.
Learn moreThe model works in the lab. We make it work on the hardware
Port, optimize, and validate models for Qualcomm Snapdragon, NVIDIA Jetson, ARM embedded, and other edge silicon. Real hardware benchmarks included.
Learn moreWe stitch it together and keep it running
Connect AI models across cloud, on-premise, and edge into a coherent production system. Routing, monitoring, OTA updates, and compliance audit trails.
Learn moreEach service feeds the next. Data we prepare trains the models we fine-tune. Models we fine-tune get optimized for the hardware we onboard them to. The orchestration layer routes to those models using accuracy and latency numbers measured on real hardware. And the monitoring system detects when a model needs retraining — triggering the data and fine-tuning pipeline automatically.
You can engage any service standalone. But the pipeline compounds. The more YYZdata manages, the faster each stage runs and the tighter each handoff is.
Studio Suite is our internal platform — the tooling we built to run these services efficiently. DataStudio, Fine-Tune Studio, Model Onboarding Factory, Orchestration and Deployment Studio. Modular, composable, continuously improved.
Clinical documentation, medical device AI, prior authorization, revenue cycle automation. HIPAA-compliant data handling with clinical domain experts.
Fraud detection, credit underwriting, regulatory compliance AI. Synthetic transaction data with fair lending coverage. On-premise deployment for data sovereignty.
In-cabin AI, driver monitoring, predictive maintenance, EV energy management. Edge deployment on constrained hardware for Tier-1 suppliers and OEMs.
AMR navigation, manipulation AI, inspection systems, predictive maintenance, factory automation. Model onboarding for Qualcomm IQ9/IQ10 and NVIDIA Jetson.
Equipment diagnostics, drill floor AI, pipeline integrity, HSE compliance. Remote and offshore deployments with no connectivity dependency.
Power and cooling optimization, predictive hardware failure, construction schedule intelligence. On-premise inference for sensitive operational data.
We work on individual engagements or as an extension of your team. Tell us what you're building.