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AI visual inspection and QA.

Computer vision workflows with data pipelines, evals, and human review loops.

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What we deliver

What we deliver

Computer vision workflows with data pipelines, evals, and human review loops.

  • Dataset prep + labeling flows
  • Models + evaluation suites
  • Human review tooling
  • Monitoring + alerting
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Best for

Where this fits

Who sees the most value from this track.

  • Teams automating visual QA
  • Ops needing anomaly detection
  • Products requiring traceability
Deliverables

What you get

Clear outputs you can ship and operate.

  • Dataset prep + labeling flows
  • Models + evaluation suites
  • Human review tooling
  • Monitoring + alerting
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How it works

Process

A predictable 4-step delivery path.

  • Discovery + scope alignment
  • Architecture and repo scaffold
  • Iterative build with demos
  • Hardening + launch support
Security & reliability

Reliability and safety

Controls and checks to keep this stable.

  • Threat modeling and checklists
  • Tests and validation for key paths
  • Observability hooks for incidents
  • Secure secrets and access practices
  • Rollback and recovery guidance
Timeline

Typical 4-week plan

Adjustable based on scope and risk.

  • Week 1: scope, architecture, repo scaffold
  • Week 2–3: build + integrate
  • Week 4: harden + deploy + monitoring
What we need

What we need from you

Keep delivery unblocked.

  • Clear goals and constraints
  • Primary contact for fast decisions
  • Access to repos/services
  • Preferred tooling and environments
Proof

See similar builds

Browse recent delivery snapshots to see how we ship.

Recent delivery snapshots

Ops, Web3, and trading builds with production guardrails.

View work →
FAQ

Answers for this service

Do you build labeling tools?

Details

Related services

You may also need

Adjacent capabilities you can pair with this track.

ML development and deployment.

Model training, evaluation, and delivery pipelines with observability.

Data pipelines and monitoring.

Ingestion, validation, and monitoring for data + model pipelines.

LLMOps and guardrails.

Evaluation pipelines, safety checks, and rollout controls for AI systems.

Related products

Accelerators you can use

Pre-built components to ship faster.

Recommendation bot starter

Launch recommendations quickly with controllable workflows.

Data pipeline monitor

Detect breakage before it hits production features.

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Quick facts

  • Timeline: Week 1: scope, architecture, repo scaffold
  • Deliverables: 4+
  • Teams automating visual QA

Primary actions

Book a 15-min callTelegram

Ready to start?

Book a 15-min call or message us on Telegram to scope this service for your product.

Book a 15-min callTelegram