Services
From data strategy to deployment, we deliver AI systems that ship.
Data Strategy + Labeling
We design and implement labeling workflows optimized for speed, accuracy, and scalability.
What's included
- Labeling workflows built for speed and accuracy
- Human-in-the-loop QA with model-assisted review
- Dataset versioning and traceability
- Active learning for efficient labeling
- Multi-format support (images, video, point clouds)
Model Training + Evaluation
We train custom models on your data with transparent metrics and production-focused iteration.
What's included
- Custom CV and GenAI training on your data
- Transparent metrics and error analysis
- Iteration cycles tuned for production outcomes
- Architecture selection and optimization
- Cross-validation and benchmark comparisons
Deployment + MLOps
We deploy models where they're needed — browser, on-premise, or edge — with continuous monitoring.
What's included
- Browser, on‑premise, or edge deployment
- Monitoring for drift and performance drops
- Continuous improvement pipeline
- Model versioning and rollback
- Scalable inference infrastructure
AI Agents for Visual Workflows
We build intelligent agents that automate decisions in inspection, QA, and document processing.
What's included
- Decision-routing agents for inspection and QA
- Document understanding + structured extraction
- Integrations with existing systems
- Multi-step reasoning pipelines
- Human-in-the-loop escalation
AI-Powered Apps
We deliver production-ready applications with secure backends and role-based access.
What's included
- Production UIs in Angular or Next.js
- Backend services for data pipelines and inference
- Secure, role-based access for enterprise teams
- Real-time dashboards and reporting
- API integrations and webhooks
Let us review your current pipeline
Talk to an expert and we'll assess your data, models, and deployment strategy.