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Vision-cognitive services
From camera ingest to accountable decisions — CogniVision services cover the full lifecycle of perception AI for B2B teams in Singapore and APAC.
Computer vision
We design and deploy custom detectors, classifiers, segmenters, and trackers tuned to your lighting, angles, and hardware constraints.
- Use-case discovery and camera placement guidance
- Label strategy, active learning, and synthetic augmentation
- Edge and cloud deployment with latency SLAs
- Integration with existing VMS and IoT platforms
Multimodal AI
When vision alone is not enough, we fuse visual signals with text, audio, and structured data for richer understanding.
- Cross-modal embedding and retrieval pipelines
- Grounded copilots for operations and support teams
- Document-plus-image workflows for compliance
- Evaluation frameworks for fusion quality
Image & video analytics
Turn live and recorded feeds into actionable dashboards — alerts, heatmaps, and searchable archives your teams rely on daily.
- Multi-site camera orchestration and health monitoring
- Real-time alert routing via email, SMS, and webhooks
- Clip bookmarking and incident replay
- PDPA-aligned retention and access controls
Cognitive perception
Our cognition layer interprets what cameras see — applying business rules, learned policies, and explainable reasoning before action.
- Hybrid rule and ML decision engines
- Human-in-the-loop review queues
- Audit logs suitable for regulated industries
- Simulation and shadow-mode testing
CV MLOps
Production vision AI needs the same rigour as any software system. We build pipelines your engineers can operate long after handover.
- Model registry, versioning, and promotion workflows
- Drift detection and automated retraining triggers
- GPU scheduling and cost optimisation on major clouds
- Runbooks, on-call playbooks, and team training
Engagement models
Flexible ways to work with CogniVision — all priced in SGD with clear milestones.
Fixed-scope projects
Defined deliverables, timeline, and acceptance criteria — ideal for first deployments and pilot programmes.
Retained engineering
Monthly capacity for iteration, new camera lines, and model updates as your operations evolve.
Training & enablement
Workshops for your ML and DevOps teams on labelling, evaluation, and CV MLOps best practices.
Support & SLA
Production support with defined response times, health checks, and quarterly architecture reviews.
Discuss your vision stack
Tell us about your cameras, use cases, and latency requirements — we will propose a service mix that fits.
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