AI Estimation for Construction: H2Corporation Raises Pre-Series A Extension Led by NEA
H2Corporation has completed a Pre-Series A extension to scale its "AI Estimation" platform for the construction industry. The round was led by NEA (New Enterprise Associates), which manages $28B (approx. ¥4T) in assets. Existing investors Spiral Capital, JAFCO, MetaProp, One Capital, and Boost Capital also participated. The amount raised was not disclosed.
What the platform does
The company's flagship, AISekisan Platform (AISP), is a system of record for estimation and order management built with major building material and component manufacturers, distributors, general contractors, and specialized trades. Customers use AISP to process estimation tasks at hundreds-of-thousands scale, while moving off legacy workflows and tools.
AISP is an AI-native foundational platform centered on H2Corporation's proprietary, domain-specific AI. It combines key functions with flexible customization so teams can standardize estimating, reduce cycle times, and keep order data connected to the job.
Why this matters for contractors, subs, and suppliers
Estimation is a margin lever. Faster, standardized takeoffs and quotes can shrink backlog, improve pricing consistency, and tighten handoffs from precon to procurement and field ops. With manufacturers and distributors in the loop, item data and availability can flow directly into estimates and orders.
- Move high-volume estimating from manual tools to a single source of truth.
- Reduce rework by tying estimation and order management together.
- Scale capacity for large bid waves without linear headcount growth.
- Use structured data from partners (manufacturers/distributors) to improve accuracy and lead-time planning.
How the new capital will be used
H2Corporation plans to expand its U.S. forward-deployed engineering and customer success teams by 10x to support implementations. The company will also invest in core R&D to improve its proprietary AI models and algorithms, and to expand AISP's function set and modules.
Hiring will accelerate across AI and software engineering, product management, and go-to-market leadership, including a global GTM framework.
Growth and adoption
Founded in November 2020, H2Corporation reports 500% year-over-year growth over the past year. Adoption is growing among major domestic building material manufacturers, trading companies, general contractors, and subcontractors. The company currently employs 97 people, including part-time and contract staff.
If you lead estimating or precon, here's a simple playbook
- Map your current estimating workflow (inputs, handoffs, rework points, and approval steps).
- List required integrations (ERP, procurement, item catalogs, and vendor portals) and owners.
- Set a data baseline: item master quality, assemblies, historical win/loss and variance.
- Pilot on one business unit or trade with a clear success metric (cycle time, accuracy, win rate, or cost per estimate).
- Tie estimation outputs to order management so materials and lead times are locked earlier.
Bottom line
Capital from a top-tier investor and a clear focus on domain-specific AI signal a push to make large-scale estimating and ordering faster, cheaper, and easier to manage. For construction leaders, the move is a prompt to modernize the precon stack and link it tightly with supply chain data.
If your team needs structured AI training to support this shift, explore AI upskilling by job role.
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