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Build

Agentic AI operating partner for commercial real estate and infrastructure development

AI platform (branded Dougie) that pairs multi-agent AI with in-house domain experts to automate commercial real estate and infrastructure development workflows — site selection, technical due diligence, underwriting, and feasibility analysis. Delivered as a reviewed, deliverable-based service rather than self-serve software.

$8.5M seed (announced June 2026, led by Index Ventures; also Pebblebed, Puzzle Ventures, and Tiny.vc, plus angel investors including OpenAI CFO Sarah Friar and Blackstone CTO John Stecher) raisedEarly Stage
Founded 2024 · Vendor states 100+ projects delivered across 15 countries for institutional clients representing $2T+ in combined assets under management, including named clients Tishman Speyer and Stack Infrastructure plus unnamed Fortune 500 companies and the UK government; exact number of distinct paying clients not disclosed
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WHY IT EXISTS

Why This Tool Exists

The Problem

Commercial real estate and infrastructure developers (data centers, industrial, energy) spend weeks manually running site selection and technical due diligence across grid capacity, fiber access, zoning/planning constraints, environmental risk, and physical site conditions before a project can be underwritten or move forward.

The Solution

Build's platform, Dougie, is described by the company as a multi-agent AI system built on LangGraph that evaluates sites and runs due diligence tasks in parallel, drawing on data the company says spans 1,600+ sources. Build's own domain experts review every deliverable before it reaches the client. Build sells completed deliverables (site selection studies, due diligence reports, underwriting memos) under fixed, deliverable-based pricing rather than licensing software directly to customers.

USAGE

How You Use It

Delivery Method
Managed Service (AI + human expert review)Web Portal
Integrations
Not publicly specified
Disciplines
Civil Engineering
Workflows
Data & Automation, Planning & Feasibility
Project Phases
Pre-Design, Schematic Design
Project Types
Commercial, Industrial, Infrastructure, Mixed-Use, Hospitality, Multifamily Housing
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Project/site parameters (location, asset class, development requirements), Client-provided access to relevant data rooms or internal documents for due diligence tasks
Optional:Existing feasibility studies, Zoning/entitlement documents, Financial models
Formats:Not publicly specified — engagement is service-based; the company describes intake via email and data rooms rather than a defined self-serve file-upload spec
Output
What you get
Format:Human-reviewed deliverables (reports, memos, models) delivered to the client, plus a client web portal (app.build.inc)
Fields:Site selection/screening results, Due diligence findings (grid capacity, fiber access, zoning, environmental risk, physical site conditions), Underwriting models and investment committee memos, ESG/SFDR/CSRD compliance reports, Source citations traceable to primary documents
Algorithm
How it works
Model:Multi-agent AI system built on LangGraph, per company statements; combines multiple specialized AI agents with human domain-expert review rather than a single end-to-end model (underlying LLM provider(s) not disclosed)
Accuracy:Vendor claims "100% auditable accuracy" via source-traceable outputs and that due diligence timelines are reduced by more than 95% (e.g. from ~4 weeks to about 75 minutes for certain workflows); these are self-reported claims, not independently verified
Privacy
How your data is protected
Retention:Per Build's published security page, "customer data is anonymized or deleted after contract termination"; specific retention periods are not published
Training:Not publicly specified
Compliance:SOC 2 Type II (annually audited, per Build's own security page — third-party audit report not publicly published), SOC 2 Type I, Self-reported GDPR-aligned data subject request handling
API
Integration
Endpoint:Not publicly documented — Build is delivered as a managed service with client-portal access, not a self-serve API product
Method:Not publicly specified
USE CASES

Use Cases

  • ·AI-accelerated site selection and desktop due diligence for data center, industrial, and energy infrastructure sites
  • ·Technical due diligence across grid capacity, fiber access, zoning, and environmental constraints
  • ·Financial underwriting and investment committee memo generation for institutional real estate deals
  • ·Test-fit and early feasibility/site analysis for commercial and mixed-use development
  • ·ESG/SFDR/CSRD compliance reporting and portfolio monitoring for real estate portfolios
PRICING

Pricing

Free
Not available — engagement-based service, no self-serve free tier
Pro
Fixed, deliverable-based pricing (upfront rate per deliverable, e.g. a site selection study or due diligence report, rather than hourly or subscription billing); specific rates not publicly published
Enterprise
Contact vendor; company states its pricing is roughly 50% of typical market rates for comparable deliverables (unverified vendor claim)
Sources & Research NotesResearch date: 2026-07-16
Data Sources (8)
Fields Checked (12)
problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, yearFounded, fundingTotal, customerBase, algorithm-approach, compliance-SOC2, pricing-model
Not Found (7)
integrations (named third-party products), api-documentation, specific-pricing-rates, data-retention-period, data-hosting-location, AI-training-data-use, input/output-file-formats
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
ALTERNATIVES

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