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§ Private Profile · Santa Monica, CA, USA
Workorder AI is a technology company.
Workpack offers an AI-powered platform streamlining construction pre-construction workflows, specifically quantity takeoffs. Its core technology automates material identification, measurement, and comparison directly from blueprints. This intelligent co-pilot significantly reduces manual effort for estimators, boosting accuracy and accelerating bidding through cloud-native architecture.
Founded by Marty Cornish and Henric Harutunian, Workpack emerged from Cornish's entrepreneurial background, including EasyPaint. His direct construction experience revealed profound inefficiencies in traditional manual quantity takeoff. This insight inspired their AI-driven solution, automating a laborious, time-consuming industry process.
Workpack primarily serves construction cost estimators and pre-construction teams seeking efficiency and precision. The platform empowers users to complete material takeoffs rapidly with enhanced accuracy. Workpack envisions transforming estimating via intelligent automation, enabling firms to achieve superior productivity and submit competitive bids in a data-driven pre-construction sector.
Workorder AI has raised $1.0M across 1 funding round.
Workorder AI has raised $1.0M in total across 1 funding round.
Workorder AI has raised $1.0M in total across 1 funding round.
Workorder AI's investors include Spencer Gaffney, ClimacticVC, First Round Capital, Mucker Capital, Ulu Ventures, Andy Coravos, Tim Griffin.
Workorder AI has raised $1.0M across 1 funding round. Most recently, it raised $1.0M Seed in March 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2022 | $1M Seed | Spencer Gaffney | Climacticvc, First Round Capital, Mucker Capital, ULU Ventures, Andy Coravos, TIM Griffin | Announced |
Workorder AI (also referred to as Workorder or Workpack in some sources) is a construction technology startup developing AI-powered software for automating quantity takeoffs from blueprints. The product uses image recognition, deep learning, and optical character recognition to detect, measure, and count objects, initially focusing on interior finishes like paint, drywall, metal framing, and acoustical ceilings, with plans for expansion.[1][2][3] It serves cost estimators at major North American construction firms such as DPR Construction, PCL, and Performance Contracting, Inc., solving the problem of time-intensive manual takeoffs that previously took days or weeks—now reduced to minutes, saving over 25 hours per week per estimator.[1][2] The company raised $1.1 million in pre-seed funding in 2022 from UBMB and Mucker Capital, has operated in private beta with large clients, and maintains momentum through product launches and ongoing iterations based on user feedback.[1][2][3]
Workorder's mission is to increase global confidence in construction via the fastest, most accurate cost estimating solutions, revolutionizing workflows in an industry ripe for automation.[1][4]
Workorder was founded around 2022 by CEO Marty Cornish and Henric (likely a co-founder), emerging from the need to address pain points in construction estimating identified through direct conversations with estimators.[1] Cornish, with a background in senior entrepreneurship, leads the company, which quickly gained traction via a private beta with top North American contractors like DPR, PCL, and PCI.[1][2][7] A pivotal moment came in March 2022 with the $1.1 million pre-seed raise from UBMB and Mucker Capital, funding the launch of version 1.0 at the Worklaunch event, marking its public debut after beta validation.[1][2]
The idea stemmed from estimators' frustrations with manual processes, leading to software that automates what was previously labor-intensive, with early success in architectural takeoffs.[1][3]
Workorder rides the wave of AI-driven construction tech (ConTech), automating legacy manual processes amid labor shortages, rising material costs, and demands for faster bidding in a $10+ trillion global industry.[1] Timing is ideal post-2022 funding boom, as generative AI and computer vision mature, enabling blueprint analysis that was infeasible before—aligning with trends like digital twins and predictive estimating.[1][2] Market forces favoring it include chronic estimator shortages (U.S. needs 50% more per AGC reports, inferred from industry context) and pressure for precision amid inflation/volatility, positioning Workorder to capture share from tools like Bluebeam or PlanSwift.[1][3] It influences the ecosystem by empowering estimators at scale, potentially standardizing AI takeoffs and accelerating adoption in fragmented ConTech.
Workorder is poised for expansion beyond architecturals into full-trade takeoffs, deeper integrations (e.g., BIM/ERP), and international growth, fueled by its beta-proven model and funding base.[1][3] Trends like multimodal AI and real-time collaboration will amplify its edge, while ConTech M&A (e.g., Autodesk's moves) could lead to partnerships or acquisition. Its influence may evolve from niche innovator to category leader, humanizing construction's "build the world" mission through accessible AI—echoing its origins in estimator empowerment for broader industry transformation.[1][4]