LLMOps and guardrails.
Evaluation pipelines, safety checks, and rollout controls for AI systems.
What we deliver
Evaluation pipelines, safety checks, and rollout controls for AI systems.
- Eval pipelines + regression suites
- Guardrails + content safety
- Release + rollback controls
- Dashboards + alerts
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Where this fits
Who sees the most value from this track.
- Teams putting AI into production
- Products needing compliance and auditability
- Orgs managing model drift and cost
What you get
Clear outputs you can ship and operate.
- Eval pipelines + regression suites
- Guardrails + content safety
- Release + rollback controls
- Dashboards + alerts
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Process
A predictable 4-step delivery path.
- Discovery + scope alignment
- Architecture and repo scaffold
- Iterative build with demos
- Hardening + launch support
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
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 from you
Keep delivery unblocked.
- Clear goals and constraints
- Primary contact for fast decisions
- Access to repos/services
- Preferred tooling and environments
See similar builds
Browse recent delivery snapshots to see how we ship.
Answers for this service
Do you handle PII?
Details
You may also need
Adjacent capabilities you can pair with this track.
AI agent development with production guardrails.
Task-specific agents with tool use, evals, and fallback logic for reliability.
Data pipelines and monitoring.
Ingestion, validation, and monitoring for data + model pipelines.
Observability and monitoring for trading + Web3 stacks.
Dashboards, alerts, and SLOs for execution, smart contracts, and automation.
Accelerators you can use
Pre-built components to ship faster.
Replace with architecture or flow
Quick facts
- Timeline: Week 1: scope, architecture, repo scaffold
- Deliverables: 4+
- Teams putting AI into production
Primary actions
Ready to start?
Book a 15-min call or message us on Telegram to scope this service for your product.