Side-by-side comparison of AI visibility scores, market position, and capabilities
AI construction scheduling platform from Stanford research. Doubling revenue annually. Schedule Insights Agent (agentic AI). $68M raised. Founded 2015, Menlo Park.
Alice Technologies is an AI construction scheduling and simulation company founded in 2015, emerging from research at Stanford University. The company was created to solve one of the most persistent and costly problems in capital project delivery: construction schedules are typically built once at project inception and then become increasingly detached from reality as conditions change, without giving project teams a fast way to model thousands of alternative execution sequences and identify the optimal path forward. Alice's mission is to bring computation-powered schedule intelligence to every major construction project.\n\nThe platform uses Monte Carlo simulation and constraint-based optimization to automatically generate and evaluate millions of construction schedule permutations, accounting for crew compositions, equipment availability, material lead times, and site sequencing logic. Contractors and owners use Alice to build initial schedules orders of magnitude faster than manual methods, to run what-if analysis on scope changes or delays, and to recover schedule slippage through AI-assisted re-sequencing. The company's Schedule Insights Agent, its agentic AI capability, allows project teams to query schedule risk and mitigation options through natural language. Alice has customers among leading general contractors and infrastructure developers in the United States and internationally.\n\nAlice Technologies has raised $68 million in total funding and is experiencing consistent revenue growth, doubling annually according to company disclosures. Its Stanford research lineage and deep construction domain expertise — combined with the agentic AI layer that makes advanced scheduling analysis accessible to field teams — position Alice as a differentiated player in the growing construction technology market, where AI-driven schedule optimization is increasingly recognized as a lever for reducing the chronic cost overruns and delays that afflict the industry.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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