YYZDATA
We handle the complete data-to-deployment pipeline—or individual components of it. Modular, composable services powered by internal tooling. Cloud, edge, or hybrid deployment.
Get StartedReal data or synthetic data—we handle both.
Bring your own data? We clean, format, validate, and prepare it for model training. Expert curation for your domain—whether that's medical data requiring clinical expertise, financial data requiring regulatory knowledge, or industrial data requiring operational context.
Need synthetic data generated? We engineer domain-specific datasets validated for downstream model performance. Not just statistically correct data—data that trains better models.
Human-in-the-loop quality control with domain experts. We work within your compliance framework. ISO 27001 and ISO 9001 certified processes.
Domain-specific fine-tuning of open-source models (Llama, Mistral, Gemma, others). We take base models and adapt them for your operational context—precise, efficient, accurate.
Bring your own data and model? We fine-tune and hand back the optimized model. Need us to handle data + model? We do both. Optimized for cloud, edge, or hybrid deployment.
Systematic model onboarding to specific silicon—Qualcomm platforms, other edge devices, or cloud infrastructure. We optimize, validate, and deliver production-ready artifacts.
This is our "model factory" capability—repeatable, tooled, optimized processes for getting models running efficiently on target hardware.
Stitching it all together. Deployment packaging, infrastructure integration, production management. We handle the complete deployment pipeline or integrate with your existing systems.
Cloud, edge, or hybrid architectures. Ongoing optimization, monitoring, iteration.
You choose what you need: Data only • Fine-tuning only • Hardware optimization only • End-to-end
We operate as an extension of your team. Defined scope, measurable outcomes, enterprise discipline.
Small, focused, boutique approach. Complex, domain-specific work with actual expertise—not massive-scale generic labeling.
Studio Suite: We built our internal platform and tooling to deliver these services efficiently. Modular, composable, optimized over time. Eventually available to customers who want to run these workflows themselves.
Fraud detection, credit underwriting, regulatory compliance AI. Synthetic transaction data with fair lending coverage. On-premise deployment for data sovereignty.
Clinical documentation, medical device AI, prior authorization, revenue cycle automation. HIPAA-compliant data handling. Domain experts with clinical knowledge.
Customer analytics, inventory optimization, demand forecasting, in-store AI systems. Edge AI for people flow tracking, self-service kiosks, customer interaction.
In-cabin AI, driver monitoring, predictive maintenance, telematics, EV energy management. Edge deployment on constrained hardware. Tier-1 suppliers and OEM teams.
Equipment diagnostics, drill floor AI, pipeline integrity, HSE compliance. Remote and offshore deployments with no connectivity dependency.
Robotics, predictive hardware failure, power and cooling optimization, construction intelligence, automation systems.
People flow tracking in high-density commercial locations. Self-service kiosks with AI avatars. Systems combining edge-based language models, speech processing, and real-time interaction.
Production edge AI pipelines on Qualcomm platforms. Object detection, multi-object tracking, re-identification, pose estimation, speech processing, small language model inference.
Healthcare systems processing sensitive patient data. Financial services fraud detection. Industrial robotics in manufacturing. Built with enterprise engineering discipline.