Build

Market position

Build presents itself as creating a new category — an "agentic development firm" or AI-native operating partner for the built world — targeting enterprise investors, developers and operators. The sources contain no market share data, customer counts, revenue figures, named competitors or third-party validation, so its position cannot be independently assessed from the material available.

Build's stated differentiators are the combination of human domain experts with agentic AI within a firm-like delivery model rather than software alone; a proprietary geospatial Data Engine spanning infrastructure/utilities, environmental and natural risk, and zoning/entitlement/market layers across 18+ countries with continuous updates and citations in every output; and permitting submissions built on live regulatory data formatted to each authority's requirements rather than templates. The company also claims to be one of the fastest-shipping teams in vertical AI. These claims come from the company's own website and are not independently corroborated in the sources.

Technology

Agentic AI applied to development workflows, combined with two named technology assets. The Data Engine is a geospatial intelligence platform aggregating infrastructure and utilities data (power capacity, substation loading, fiber routes, gas mains, water and wastewater systems, connection points), environmental and natural risk data (flood zones, contamination records, wetlands, soil classifications, seismic data, groundwater), and zoning, entitlement and market data (parcel-level zoning classifications, permitted uses, comparable transactions, tax environments, absorption metrics) across 18+ countries, updated continuously with citations in outputs. The platform layer provides project management with tasks, owners and status across the development lifecycle; a secure permissioned virtual data room organized by site; and queryable GIS covering utilities, environmental, zoning and market layers. Additional capabilities include automated document ingestion and classification for data-room analysis, generative massing and block-fit configuration, concept visualization with 3D model views, and permitting submissions generated from live regulatory data.

Go-to-market

Direct enterprise sales to institutional clients, with the website's primary calls to action being "Book a Demo" and "Get Started," plus a customer log-in. The site states Build is "partnering with the world's biggest built world institutions" and displays a "Trusted by Institutions" section. Build is hiring a Commercial Lead in New York and a VP for Digital Infrastructure North America, indicating a domain-specialist sales motion. A banner references a partnership with Index.

Institutional participants in the built world: enterprise investors, developers and operators. Named end markets are data centers, energy and power, industrial, and telecommunications.

Geography

Build lists offices in New York, NY and London, UK. Open roles are posted for New York City and London, with two of eight roles listed as remote. The company's Data Engine is described as covering geospatial data across 18+ countries.

History

The sources state Build was founded by James Stirrat-Ellis and Ben McClusky and operates from New York, NY and London, UK. The site describes the company as "rapidly becoming the defacto AI development partner for Enterprise investors, developers and operators" and lists eight open roles across GTM, product, engineering and domain functions. A site-wide banner states Build partners with Index. No dated milestones, financing history or headcount figures appear in the sources.

Risks & controversies

No controversies, litigation or negative reporting appear in the sources. The available material consists almost entirely of Build's own website; there is no independent coverage, no disclosed funding, no named customers and no verified metrics, which limits verification of the company's claims (for example, delivering projects "an order of magnitude faster than market" and being "one of the fastest shipping teams in vertical AI").