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Service

ML development and deployment.

Model training, evaluation, and delivery pipelines with observability.

What we deliver

What we deliver

Model training, evaluation, and delivery pipelines with observability.

  • Training + evaluation pipelines
  • Model registries + CI/CD
  • Feature stores + serving
  • Telemetry + cost tracking
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Best for

Where this fits

Who sees the most value from this track.

  • Teams productizing ML features
  • Ops needing repeatable training
  • Products needing evals before rollout
Deliverables

What you get

Clear outputs you can ship and operate.

  • Training + evaluation pipelines
  • Model registries + CI/CD
  • Feature stores + serving
  • Telemetry + cost tracking
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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.

FAQ

Answers for this service

Do you host models?

Details

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Quick facts

  • Timeline: Week 1: scope, architecture, repo scaffold
  • Deliverables: 4+
  • Teams productizing ML features

Ready to start?

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