The Platform
From requirement scoping and data pipelines to deployed models, regulatory compliance, and continuous delivery.
Requirement Scoping
We define what the system needs to detect, classify, and monitor. Target definition, environment assessment, data audit, and operational and regulatory constraints are all scoped before any infrastructure is built.
Training Data Pipeline
Ingest, label, and manage footage at scale. Quality controls are built for sparse, class-imbalanced underwater data.
Detection & Classification Engine
Models that detect and classify targets from underwater video. Outputs include calibrated uncertainty estimates so your team knows when to trust the result and when to escalate.
Regulatory-Grade AI
Models built to pass regulator review. Audit trails, explainability reports, and compliance documentation ship with every deployment.
Data Sovereignty
You decide where footage is stored and who can access it. On-premise, sovereign cloud, or air-gapped — the infrastructure is built around your data requirements.
Continuous Delivery
The infrastructure evolves with your operation. As new footage comes in, models are retrained and validated. Delivery is ongoing, not a one-time handoff.
Built for the Deep Sea
Underwater operations generate more footage than any team can review. Deep Oculus is the infrastructure that makes it actionable.
The deep sea demands its own infrastructure. Near-zero ambient light, extreme pressure, sparse training data, and strict regulatory controls on footage handling are not edge cases. They are the baseline.
We built for that baseline.
Built for depth
Engineered exclusively for underwater environments. Models, pipelines, and workflows are built from deep-sea data and calibrated for near-zero ambient light, particle backscatter, and extreme color distortion.
Sensor-agnostic integration
Underwater operations run on diverse sensor ecosystems. The platform ingests and processes data across cameras, sonar, acoustic arrays, and ROV systems. One intelligence layer across all your sources.
Calibrated uncertainty
The model tells you when it does not know. Predictions ship with uncertainty estimates so your team reviews what matters and trusts what is clear. Critical for safety applications and regulatory audit trails.
Get Started
Schedule a Demo
We work with offshore operators, subsea inspection firms, aquaculture companies, and defense contractors. If you operate at depth and need AI infrastructure that works, let's talk.
info@deepoculus.ca