Trust infrastructure
for autonomous agents.
We design and ship the boring-but-critical pieces every agent needs before production: policy gates, audit trails, and replayable evals. Lab + studio.
How trust is enforced
Built on the stack you already trust
/workflows
Patterns we ship over and over
Four reference architectures we've productionized. Click through to watch each draw itself.
/workflows
How agents earn trust
Click through the patterns we ship. Each diagram animates the data flow as it draws.
Every agent step gated by policy, logged, and replayable.
/consulting
What we build
Fixed-scope packages so you know what you're getting. Custom welcome — every project starts with a free scoping call.
Agent Trust Audit
Map your live agent, find policy gaps and prompt-injection surfaces, ship a hardened system prompt + audit-log scaffold.
RAG Systems
Search and answer over your docs, tickets, and code with citations — not hallucinations.
Multi-Agent Workflows
Supervisor + specialist agents that automate real workflows with humans in the loop.
AI MVP in 30 days
Idea → working product → first paying user. One sprint, fixed scope, real code.
/principles
How we work
We're engineers first. The lab and the studio share a bias: ship the boring infrastructure right, then move fast on top of it.
Real shipped work
Role, period, stack — verifiable. No vanity metrics, no fabricated logos.
Boring infra
Lambda, Postgres, S3. The hot framework du jour can wait.
Trust by default
Every agent gets policy + audit + replay before it sees real users.
Honest on scope
If LLMs are wrong for the job, we say so. Often they are.
3
OSS lab tools
PolicyLint · Trace Replay · Eval Harness
99
Lambdas in production
across recent client systems
2
Projects this quarter
selective by design
10y
Production miles
before we touched LLMs
/lab
Currently in the lab
Working drafts. Some are open source, some are in design-partner pilots. Real code, real status — no inflation.
PolicyLint
Static analyzer for agent system prompts. Flags jailbreak surfaces, missing refusals, unbounded tool scope.
Try the demoTrace Replay
Record agent traces in prod, replay them in CI. Catch regressions before users do.
Join the pilot/projects
Selected case studies
Real systems shipped to real customers. Each case study has the architecture, problem, and outcome.
Support Copilot for SaaS
RAG-powered ticket triage with grounded citations and human handoff.
Read case study
Document Intelligence Platform
Structured extraction over long-form legal contracts with audit trail.
Read case study
Outbound Sales Agent
Lead qualification + reply drafting with human approval gate.
Read case study
/track-record
Receipts.
What we've actually shipped — with role, period, and stack. No invented numbers. References available on the intro call.
Full track recordMulti-service serverless platform
2024 — present
Senior engineer
5 services, 99 Lambdas in production. ARM64 + memory tuning cut p95 cold-start materially. Owned authn/authz.
RAG support copilot
2025
Architect + builder
End-to-end RAG over a B2B SaaS knowledge base with cited answers and human handoff.
Document intelligence pipeline
2025
Architect + builder
Structured extraction over long-form legal contracts with reviewable audit trail.
/demos
Try it in your browser
Mini-apps you can use right now. No login, no API keys, runs client-side. Simplified previews of production systems we ship.
PolicyLint
Paste an agent system prompt → flag jailbreak surfaces, missing refusals, unbounded tool scope.
Static analysis
Try it
Doc Q&A
Paste a document, ask questions, get cited answers.
RAG · keyword retrieval
Try it
Meeting Notes Summarizer
Paste a transcript, get TL;DR + action items.
Extraction · summarization
Try it
/faq
Honest answers, up front
What does Sadaf Labs do?+
Hybrid lab + studio. The studio is selective AI consulting (RAG, multi-agent, AI MVPs). The lab builds open-source trust infrastructure for agents — policy, audit, evals.
How long does an engagement take?+
Trust audits 1–2 weeks. RAG systems 3–4 weeks. Multi-agent builds 4–8 weeks. MVPs scoped at 30 days.
What does it cost?+
Fixed-scope, $5k–$40k for most engagements. Trust audits start at $5k, RAG $12–25k, multi-agent $25k+. Retainer available for fractional AI lead.
Do you take new projects?+
2 per quarter. Free 20-min scoping call open to anyone with an agent in or going to production.
What stack?+
Next.js + TypeScript, AWS serverless (Lambda, DynamoDB, Bedrock), LLMs via Bedrock/OpenAI/Anthropic, RAG via OpenSearch or pgvector.
Are you raising?+
Pre-seed planning. Bootstrapped today via consulting. Investor brief is gated — email hello@sadaf-labs.com for the passcode.
/investors
Building for the agent-trust market
Pre-seed, bootstrapped via consulting today. The lab tools you see above are the product wedge — managed agent trust as a service in 2026. The investor brief is gated.
Got an agent in production? Let's harden it.
Free 20-minute call. We'll map your agent on the whiteboard, find the trust gaps, and decide if we're a fit.