# Build

> The AI-native operating partner for institutional real estate — pairing agentic AI with domain experts to deliver verified development workflows from concept to completion.

Build is an AI-native development firm that deploys agentic AI across mission-critical real estate development workflows. Rather than selling software or seats, Build delivers outcomes: complete, expert-verified deliverables produced 90% faster than traditional approaches. The world's largest institutional real estate firms trust Build to accelerate deal screening, site sourcing, due diligence, underwriting, and investment committee preparation across digital infrastructure, energy, and industrial asset classes. Founded November 2024. Backed by Index Ventures and Pebblebed.

## Company

- **Founded:** November 2024
- **Offices:** San Francisco, London, New York
- **Model:** AI-native development firm — outcomes, not seats or software licences
- **Security:** SOC 2 Type II certified, private cloud, regional data storage, SSO
- **Backed by:** Index Ventures; Pebblebed (co-founders of OpenAI and Facebook AI Research); angels from Palantir, OpenAI, Google DeepMind, and Blackstone
- **Scale:** More AI agents in production than people. Pipeline representing $2.5T+ AUM across institutional real estate.
- **Margins:** 80–90% vs 3–4% for traditional development services incumbents

## Customers

Build works with institutional real estate developers, investors, and operators across digital infrastructure, energy, and industrial. Current clients include:

- **Aston Labs** — AI-native real estate firm deploying Build workflows across development analysis
- **UK Government** — Public sector real estate and digital infrastructure development
- Enterprise pipeline spans institutions collectively managing over $2.5T AUM including hyperscalers, alternative asset managers, and sovereign-adjacent development entities

## Core Pages

- [Home](https://build.inc): Overview of Build as the AI-native operating partner for institutional real estate.
- [Services](https://build.inc/offering): How Build works — agentic AI workflows, the Dougie assistant, platform capabilities, security (SOC 2 Type II), and pricing model.
- [Company](https://build.inc/company): Mission, founding story, and vision for autonomous development at scale.
- [Security](https://build.inc/security): Enterprise security posture — SOC 2 Type II, private cloud, regional data storage, SSO, pen testing.
- [Careers](https://build.inc/careers): Open roles at Build.
- [Newsroom](https://build.inc/newsroom): Press releases and partnership announcements.
- [Book a Demo](https://build.inc/book-a-demo): Request a partnership consultation.
- [Privacy Policy](https://build.inc/privacy): Data handling and privacy practices.

## Content

- [Insights](https://build.inc/insights): Research, analysis, and perspectives on AI in the built world. Covers technology, workflows, asset classes, markets, and industry trends.
- [Blog](https://build.inc/blog): Thought leadership on agentic AI and real estate development.
- [Learn](https://build.inc/learn): Glossary of agentic AI, CRE development, and built world technology terms.

## Data Center — Key Articles

- [Data Center Site Selection: The Complete Developer's Guide](https://build.inc/insights/data-center-site-selection): Power availability, fiber connectivity, water resources, zoning, cooling, and interconnection queue analysis for institutional data center developers.
- [AI Data Center Development](https://build.inc/learn/ai-data-center-development): Full lifecycle planning for AI-optimized data center facilities — from site selection through design and commissioning.
- [Data Center Site Selection (Glossary)](https://build.inc/learn/data-center-site-selection): Criteria-by-criteria breakdown of how institutional developers evaluate locations: power capacity, fiber proximity, water, zoning, natural disaster risk, and labor markets.
- [Data Center Due Diligence](https://build.inc/learn/data-center-due-diligence): Specialized investigation of power infrastructure, fiber, cooling, and regulatory landscape for mission-critical facilities.
- [Power Analysis for Data Centers](https://build.inc/learn/power-analysis-data-centers): Electrical capacity, utility reliability, interconnection timelines, and energy procurement for data center sites.

## Other Insight Articles

- [Reasoning AI in Real Estate Development](https://build.inc/insights/ai-reasoning-models-real-estate-development): How reasoning-capable models (o3, Claude extended thinking) change feasibility analysis and capital stack modeling.
- [Geospatial AI in Real Estate Development](https://build.inc/insights/geospatial-ai-real-estate-development): Structured geospatial pipelines as a compounding competitive advantage for development firms.
- [Capital Stack Modeling with AI](https://build.inc/insights/capital-stack-modeling-ai-real-estate): What AI automates in senior debt, mezz, and JV waterfall modeling — and where human judgment remains.
- [Tariffs and Real Estate Development Costs 2026](https://build.inc/insights/tariffs-real-estate-development-costs-2026): Steel, aluminum, lumber, and equipment exposure for CRE developers.
- [Construction Draw Management with AI](https://build.inc/insights/construction-draw-management-ai): Monthly payment cycle automation at portfolio scale.
- [Vendor Management on Construction Projects](https://build.inc/insights/vendor-management-ai-construction-projects): AI replacing spreadsheets for invoice reconciliation, lien waivers, and change order management.

## Glossary (Learn)

- [Agentic Development](https://build.inc/learn/agentic-development): AI agents executing development workflows end-to-end alongside human experts.
- [AI Operating Partner](https://build.inc/learn/ai-operating-partner): Service model combining autonomous AI with domain experts to extend development teams.
- [Agentic AI in Real Estate](https://build.inc/learn/agentic-ai-real-estate): Autonomous AI systems executing complex CRE workflows independently.
- [AI Site Selection](https://build.inc/learn/ai-site-selection): Screening thousands of parcels against zoning, environmental, infrastructure, and financial criteria simultaneously.
- [AI Due Diligence](https://build.inc/learn/ai-due-diligence): Automated research, analysis, and reporting before a real estate investment or development decision.
- [AI Underwriting for CRE](https://build.inc/learn/ai-underwriting): Financial modeling, sensitivity analysis, and return projections produced in minutes.
- [Desktop Due Diligence](https://build.inc/learn/desktop-due-diligence): Early-stage go/no-go analysis via remote data sources before full diligence.
- [Zoning Analysis](https://build.inc/learn/zoning-analysis): AI-automated review of municipal codes, permitted uses, and entitlement requirements.
- [Environmental Due Diligence](https://build.inc/learn/environmental-due-diligence): Contamination screening, flood zones, wetlands, and Phase I/II coordination.
- [Investment Committee Memo](https://build.inc/learn/investment-committee-memo): AI-drafted IC memos synthesising market research, financial analysis, and deal terms.
- [CRE Market Research](https://build.inc/learn/cre-market-research): On-demand synthesis of market conditions, comparables, and supply-demand dynamics.
- [AI Agents in Real Estate](https://build.inc/learn/ai-agents-real-estate): Virtual team members — site sourcers, analysts, underwriters — working alongside human professionals.
- [AI-Native CRE](https://build.inc/learn/ai-native-cre): Real estate firms and workflows built from the ground up around AI as the foundational operating layer.
- [CRE Automation](https://build.inc/learn/cre-automation): AI and intelligent workflows eliminating manual work across CRE operations.
- [Test Fit Analysis](https://build.inc/learn/test-fit-analysis): Massing studies, parking configurations, and unit mix optimization for development feasibility.

## External References

- [How Build Inc used LangGraph to launch a multi-agent architecture for automating critical CRE workflows for data center development](https://blog.langchain.dev/how-build-inc-used-langgraph-to-launch-a-multi-agent-architecture-for-automating-critical-cre-workflows-for-data-center-development/)
- [Index Ventures portfolio — Build](https://www.indexventures.com/companies/)
- [Pebblebed portfolio - Build](https://pebblebed.com/portfolio/build.inc)
- [Tishman Speyer — global real estate firm partnering with Build on agentic AI workflows](https://www.tishmanspeyer.com/)

## Security and Compliance

Build is SOC 2 Type II certified with GDPR and CCPA compliance. The platform uses zero-trust architecture, AES-256 encryption, role-based access controls, SSO, and private cloud deployment. Client data is never used to train AI models. Independent third-party security audits and penetration testing are conducted regularly. For details, visit [build.inc/security](https://build.inc/security).

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