AI Infrastructure Studio
We build the infrastructure layer for AI agents — memory systems that learn, procedures that improve, and tools that compound expertise over time.
Production AI Infrastructure
Memory That Learns
The first AI agent memory infrastructure with learned executable procedures. Hierarchical memory tiers, Bayesian learning, 7-layer security validation.
Explore AMSIndustrial RAG Intelligence
AI-powered technical assistant for commercial HVAC. 61,000+ document chunks from 520+ equipment manuals. Real technician validation.
Try BoilermanSteam Ecosystem Directory
Interactive global directory of 390+ steam equipment manufacturers. Boilers, pumps, valves, controls, water treatment. Building in public.
Explore AtlasVisual Agent Orchestration
N8N-style workflow automation for AI agents. 30+ nodes across 6 categories. Visual pipelines that connect models, memory, and tools.
In DevelopmentDeep Research + Live Dashboards
Autonomous research agents powered by Kimi K2. Real-time research monitors streaming to custom dashboards. Sovereign AI integration.
In DevelopmentMulti-Platform Validation
AI-powered market validation across Reddit, Twitter, LinkedIn, Product Hunt. Sentiment analysis and optimal timing. Validate before you build.
In DevelopmentTechnical Documentation
7-layer security validation pipeline for AI agent memory systems. Sandboxed execution, Bayesian trust scoring, memory poisoning defense.
Navigate Without Permission
Dead Reckoning Foundry builds AI infrastructure that compounds. We believe the next wave of AI value comes not from bigger models, but from systems that learn from their own execution — memory that improves, procedures that refine, expertise that accumulates.
"Dead reckoning is the process of calculating your position by using a previously determined position and advancing it based on known speeds and elapsed time. You navigate without external references — just your instruments and your judgment."
We're a small team building tools for the builders. Every system we ship is designed to make AI agents more capable, more reliable, and more useful in production environments.
Configure Your AI Agent Infrastructure