Tacit AI offers an AI‑driven reliability platform that ingests existing enterprise and unstructured data to create a contextual risk brain for manufacturers. The system integrates with EAM/CMMS tools like SAP, Maximo, IFS, and Hexagon, providing a private AI companion that automates FMEA, RCA, and maintenance planning while delivering prescriptive recommendations that cut repeat failures and accelerate decision‑making by 2‑5×.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers struggle to extract actionable insights from vast, fragmented operational data—work orders, logs, manuals, and sensor streams—leading to repeated equipment failures, prolonged downtime, and loss of engineering expertise.
Solution
Tacit AI provides an AI‑driven reliability platform that ingests existing enterprise data (SAP, Maximo, IFS, Hexagon) and unstructured sources to build a contextual “risk brain.” The platform continuously learns from technical knowledge and real‑time user feedback, delivering prescriptive recommendations for FMEA, RCA, maintenance planning, and work allocation. Engineers interact with a private AI companion that surfaces relevant insights, performs semantic search across documents, and automates standard reliability analyses, accelerating decision‑making by 2‑5×. The solution operates without requiring new IT projects, leveraging current data, definitions, and templates to generate risk reports within days. By capturing and structuring tacit engineering knowledge, Tacit AI helps organizations reduce repeat failures, improve uptime, and prepare for future autonomous operations.
Target Audience
Primary customers are engineering, reliability, and maintenance teams in heavy‑industry manufacturers such as automotive, chemicals, pharmaceuticals, mining, and energy firms.
Features
- Integration layer that reads and writes to major EAM/CMMS systems (SAP, Maximo, IFS, Hexagon) without additional IT deployment
- AI Companion with real‑time conversational assistance for engineers, planners, and quality leads
- Automated reliability analyses (FMEA, RCA, RCM, Pareto) and prescriptive action recommendations
- Semantic search across work orders, manuals, IIoT streams, and multimedia content in 55+ languages
- Continuous learning from user feedback and operational outcomes to refine risk models
- Asset health heatmaps, bad‑actor labeling, and risk scoring dashboards for rapid situational awareness
- Workflow automation for work order creation, prioritization, and skill‑based task assignment