Industrial-grade Computer Vision and GenAI Training
We help SMEs and enterprise teams build, train, and deploy AI systems that automate visual workflows in production environments — in the browser, on‑premise, or at the edge.
The Challenge
Visual QA is inconsistent
Manual inspection creates variance and drives missed defects.
Model delivery is slow
Prototype handoffs stall before they reach production.
Review doesn’t scale
Human-only checks bottleneck throughput and costs.
Ship AI that works
On the factory floor, not just in a lab.
We deliver production-ready systems that run where your data is generated — with the reliability and performance your operations demand.
Deployment in weeks, not months
A clear delivery plan from pilot to production.
Operational reliability built in
Monitoring, QA checks, and feedback loops from day one.
What We Deliver
From data strategy to deployment, we deliver AI systems that ship.
Data Strategy + Labeling
- Labeling workflows built for speed and accuracy
- Human-in-the-loop QA with model-assisted review
- Dataset versioning and traceability
Model Training + Evaluation
- Custom CV and GenAI training on your data
- Transparent metrics and error analysis
- Iteration cycles tuned for production outcomes
Deployment + MLOps
- Browser, on‑premise, or edge deployment
- Monitoring for drift and performance drops
- Continuous improvement pipeline
AI Agents for Visual Workflows
- Decision-routing agents for inspection and QA
- Document understanding + structured extraction
- Integrations with existing systems
AI-Powered Apps
- Production UIs in Angular or Next.js
- Backend services for data pipelines and inference
- Secure, role-based access for enterprise teams
How It Works
A clear process from problem definition to production deployment.
Define the outcome
We align on business goals, success metrics, and deployment constraints.
Build the dataset
We set up labeling workflows and ensure data quality from day one.
Train and evaluate models
We iterate on model architecture and tune for production performance.
Deploy and monitor
We ship to browser, on-premise, or edge — and keep it running.
Use Cases
Proven approaches for high-impact, high-variance environments.
Manufacturing Quality Inspection
Detect defects, reduce manual checks, and ensure traceability.
Infrastructure Monitoring
Identify anomalies and risks early with automated visual checks.
Document Understanding
Extract structured data at scale with accuracy and auditability.
Warehouse and Logistics
Improve throughput with AI-driven visual routing and verification.
Founded by Engineers
We are engineers and operators who build AI systems that run in production.
DI Murat Sari
Software architect focused on AI agents, IoT systems, and production-grade software delivery.
LinkedIn
DI Dr. Michael Autischer, MBA
Background in enterprise technology and strategic operations. Building scalable AI programs.
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Ready to automate your visual workflows?
Tell us about your use case and get a technical roadmap within two weeks.