Rezzed.ai designs and operates AI agent systems that work in production — not demos, not prototypes, production.

Engage Rezzed.ai as a fractional AI architect or augment your team for a specific build.

Architecture Advisory — Audit your agent infrastructure for failure modes, governance gaps, and scaling bottlenecks. Get a concrete remediation plan, not a slide deck.

Agent System Design & Implementation — Multi-agent orchestration, MCP server architecture, state management, observability, and deployment. Built from patterns proven across a 30-agent production fleet.

AI Due Diligence — Technical assessment of AI capabilities for investment, acquisition, or build-vs-buy decisions. Architecture reviews, cost modeling, risk analysis.

AI Transformation — Internal AI systems, employee upskilling platforms, and production GenAI deployment for enterprise and mid-market clients.

Infrastructure & Open Source:

CacheBash — Production MCP server for multi-agent coordination. 71 tool endpoints across task orchestration, relay messaging, sprint execution, governance, and distributed tracing. Open source on npm (@rezzed.ai/cachebash).

The Grid — Role-specialized multi-agent system with Planner-Worker topology, fleet telemetry, and full audit coverage.

10 open-source packages on npm under @rezzed.ai — safety rails, audit enforcement, autonomous execution with guardrails.

GCP Professional Data Engineer and Cloud Architect certified.

rezzed.ai | github.com/rezzedai

Rezzed.ai

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