Best for: Asset-intensive operators in energy, utilities, oil & gas, manufacturing, aerospace, defense and critical infrastructure that want multiple AI capabilities — predictive maintenance, AutoML, OT cybersecurity, computer vision and NLP — from a single vendor with a systems-level approach, rather than assembling best-of-breed point tools. Now operating as Avathon.

Best for: Large manufacturers in automotive, food & beverage, pharmaceutical, and consumer goods with complex, heterogeneous plant data across multiple sites — particularly Microsoft Azure customers who need an enterprise AI foundation that connects OT, IT, cloud, and edge into a semantic manufacturing layer enabling AI agents to optimize production across products, lines, and plants.

Best for: Asset-heavy operators — power generation, mining, oil & gas, rail, steel, and heavy-equipment fleets — that want predictive maintenance and reliability fast, without building a data science team. Particularly strong for multi-vendor, multi-site mid-market organizations that benefit from the market's largest curated failure-mode library.