Build

๐Ÿ“‚ Artificial Intelligence๐Ÿ“‚ Software Enterprise๐Ÿ“ Londra๐Ÿ—“๏ธ Founded: 2024

Build automates complex built-world workflows, including site selection, due diligence, power assessment, early design and constraint analysis.

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Podcast Episode

๐ŸŽ™๏ธ Deep Dive

Build, Six Robotics, InSoil โ€” infrastructure AI, defence autonomy and agricultural credit โ€” Daily News June 30, 2026

Listen to the episode

About Build

Build is an AI-native startup operating across the UK and the US. The company develops an agentic real estate platform for governments, developers, investors and infrastructure operators. Its โ‚ฌ7.4M Seed round led by Index Ventures supports team expansion and the development of a platform that automates complex built-world workflows: site sourcing, technical due diligence, power assessment, early design and analysis of environmental, planning, political and energy constraints.

The Story

Founded in 2024 by James Stirrat-Ellis, an architect with experience on projects such as Changi Airport T5, and Ben McClusky, an AI researcher with a background in multi-agent reinforcement learning.

How Build works

Business Model

B2B enterprise platform for institutional real estate, data centres, energy, infrastructure and commercial development.

Revenue Model

Enterprise contracts and platform-enabled services; pricing is not publicly disclosed.

Products & Services

Key Products

  • Build platform
  • Dougie AI platform

Core Use Cases

  • Site selection
  • Technical due diligence
  • Power assessment
  • Early design
  • Planning and environmental constraint analysis
  • Investment committee memos
  • Data centre and infrastructure development

Market & Clients

Key Customers

Governments, Fortune 500 companies, institutional real estate groups, developers and infrastructure operators; cited clients include Tishman Speyer.

Geographic Presence

GBUS

How Build competes

Competitors

OrbitalScopeQflowGoCanopyScyAISPREAD AI

Competitive Advantages

  • Agentic workflows for real-world infrastructure
  • 1,600+ data sources
  • 100+ projects in 15 countries
  • Domain experts from real estate, infrastructure, energy and finance
  • Auditable outputs linked to primary sources

How Build grows

Growth Strategy

Expand engineering and infrastructure teams, accelerate R&D and deepen presence across North America and Europe.

Distribution Model

Direct enterprise sales and institutional relationships with developers, investors and governments.

Moat (Defensibility)

Built-world datasets and workflows, combination of AI agents and domain experts, integration into high-value decision processes.

Regulatory Context

Relevant to permitting, planning, environmental constraints, energy, data centres and infrastructure development.

Key Risks

  • Accuracy and liability in infrastructure decisions
  • Long enterprise sales cycles
  • Dependence on data quality and freshness
  • Still-emerging market for agentic AI in real estate

Strategic Insights

  • Agentic AI becomes valuable when it enters decision processes tied to real capital.
  • Data centres, energy and infrastructure are markets where speed of analysis and execution capacity become competitive advantages.
  • The product combines automation and human domain expertise, closer to an AI-native operating partner than a simple SaaS.

Funding & Investors

Funding Rounds

  • 2026 - Seed: โ‚ฌ7.4M / $8.5M
    Lead: Index Ventures

Key Investors

Index VenturesPebblebedPuzzle VenturesTiny.vcSarah FriarJohn Stecher

Founding Team

Founders

James Stirrat-EllisCo-founder & CEO
Ben McCluskyCo-founder & CTO

Key Executives

  • James Stirrat-Ellis - Co-founder & CEO
  • Ben McClusky - Co-founder & CTO

Key Metrics

Seed roundโ‚ฌ7.4M / $8.5M (2026)
Projects delivered100+ (2026)
Data sources and tools1,600+ (2026)
Countries served15 (2026)

Lessons from Build

  • In complex physical markets, AI must be auditable and linked to primary sources.
  • Value is not only generating output, but reducing weeks or months of decision-making.
  • Vertical credibility can matter as much as the AI model.

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Sources

๐ŸŽ™๏ธ Scalable Podcast โ€” European startup stories ยท ๐Ÿ‡ฎ๐Ÿ‡น in Italian
Spotify ๐ŸŽง Apple