ALICE Technologies is a technology company.
ALICE Technologies has raised $38.0M across 2 funding rounds.
ALICE Technologies has raised $38.0M in total across 2 funding rounds.
ALICE Technologies is a portfolio company developing the world's first AI-powered construction simulation and optimization platform, founded in 2015 based on Stanford University research.[2][3][5][6] The platform analyzes complex project requirements from inputs like P6, MSP, or BIM models to generate efficient schedules, run what-if scenarios, and optimize workflows, serving general contractors, owners, and consultants in infrastructure, industrial, commercial, and general building sectors such as energy, data centers, high-rises, and healthcare facilities.[1][2][3][4][7] It solves chronic construction challenges like delays, idle crews, labor shortages, and overruns by reducing project duration by an average of 17% and labor costs by $30 million on a typical $500 million project, with over $15 billion in projects optimized globally.[3][7] Backed by top construction tech VCs with $59.6 million in total funding, including a $47 million round, ALICE demonstrates strong growth momentum through partnerships with leaders like Parsons, HDCC, and Kajima Corporation.[2][3][5]
Headquartered in Menlo Park, California, with 51-200 employees, the private company continues expanding its AI capabilities for bidding, planning, execution, risk mitigation, and recovery across all continents.[1][2][5]
ALICE Technologies was founded by Rene Morkos, Ph.D., a second-generation civil engineer with over 15 years of industry and academic experience, including project management in Afghanistan, underwater pipeline construction, automation on a $350 million Abu Dhabi refinery, ERP implementations, and Virtual Design and Construction (VDC) projects.[6] Morkos earned his Ph.D. in AI applications for construction as a Charles H. Leavell fellow at Stanford University, where he co-founded the CIFE/SPS VDC certificate program and previously served as Chief Knowledge Systems Engineer at IntelliCorp, applying AI in engineering and manufacturing.[6] Incorporation records list 2013, but the company launched in 2015, commercializing Stanford research to address core pain points: building faster, reducing crew idle time, cutting labor costs, and improving resource use amid rising shortages.[1][2][3][6]
Early traction came from proving AI could simulate millions of scenarios for optimal schedules, leading to adoption by major players and over $15 billion in optimized projects.[3]
ALICE rides the AI transformation in construction tech (ConTech), a $10 trillion industry plagued by 30% productivity gaps compared to manufacturing, where digital twins, BIM, and AI are finally bridging manual scheduling inefficiencies amid labor shortages and megaproject demands like data centers and renewables.[2][3][6][7] Timing aligns with post-pandemic supply chain disruptions, ESG pressures for faster/sustainable builds, and AI advancements enabling real-time optimization—previously impossible with critical path methods.[7] Market forces favoring ALICE include rising infrastructure spending (e.g., U.S. IIJA), industrial booms in energy/semiconductors, and VC influx into ConTech, with ALICE influencing the ecosystem by setting AI standards, partnering with incumbents, and optimizing $15B+ projects to accelerate industry-wide adoption of simulation tech.[1][3][5]
ALICE is poised to dominate AI-driven ConTech with expanding features like its Schedule Insights Agent and industrial focus, targeting megatrends in AI hardware (data centers, battery plants) and global infrastructure.[3][7] Next steps likely include deeper integrations with ERP/BIM ecosystems, international scaling beyond current continental reach, and potential Series C funding to fuel growth amid $59.6M raised.[3][5] Trends like generative AI for planning, regulatory pushes for efficiency, and labor automation will propel ALICE, evolving its influence from optimizer to indispensable platform—ultimately realizing its vision to optimize construction worldwide and revolutionizing an industry long overdue for AI.[6]
ALICE Technologies has raised $38.0M in total across 2 funding rounds.
ALICE Technologies's investors include 645 Ventures, Cantos Ventures, Craft Ventures, Credo Ventures, Foundamental, Future Ventures, Hoxton Ventures, Magnify Ventures, Merus Capital, Okta Ventures, Mo El-Bibany, 8VC.
ALICE Technologies has raised $38.0M across 2 funding rounds. Most recently, it raised $30.0M Series B in June 2022.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2022 | $30.0M Series B | 645 Ventures, Cantos Ventures, Craft Ventures, Credo Ventures, Foundamental, Future Ventures, Hoxton Ventures, Magnify Ventures, Merus Capital, Okta Ventures, Mo El-Bibany | |
| Oct 1, 2019 | $8.0M Series A | 645 Ventures, 8VC, Cantos Ventures, Credo Ventures, Foundamental, Future Ventures, Merus Capital, Vine Ventures LP, Mo El-Bibany |