AGENTICTRUTH
about
AgenticTruth
We design and deploy production-grade autonomous agent systems. No demos. No pitches. Just working code and audit trails.
FocusAgent orchestration, workflow automation, observability
ApproachEvidence-based design with explicit failure modes
DeliveryWorking systems with audit trails, not demos
StackTypeScript · Python · PostgreSQL · Docker · LangGraph
Every decision is logged. Every assumption is verified.
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About AgenticTruth — AI Agent Development Company

AgenticTruth is an AI agent development consultancy that designs and deploys production-grade autonomous systems. We build with evidence-based engineering, explicit failure modes, and full audit trails.

What We Do

We build AI agent systems that work in production. Multi-agent orchestration, workflow automation, observability pipelines, and security auditing. Every system ships with structured logging, state verification, and failure handling built in.

Our Principles

  • Evidence over assumptions — every claim is verified with data
  • Logs are artifacts, not afterthoughts
  • State must be verifiable at any point in the system
  • Failure modes must be explicit and tested
  • Every decision gets a trace
  • Ship working systems, not impressive demos

Technology Stack

TypeScript and Python for agent logic. PostgreSQL for state management. Docker for deployment. LangGraph for multi-agent orchestration. Integrations with OpenAI, Anthropic, and Ollama. Prometheus and Grafana for observability. OpenTelemetry for distributed tracing.

Our Approach

We serve teams that need working code, not pitch decks. Our engagements run 6 weeks from discovery to deployment, with ongoing monitoring and iteration. Every project starts with constraint mapping and ends with a production system that has observability, audit trails, and runbooks.