Build
Build automates complex built-world workflows, including site selection, due diligence, power assessment, early design and constraint analysis.
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Podcast Episode
๐๏ธ Deep Dive
Build, Six Robotics, InSoil โ infrastructure AI, defence autonomy and agricultural credit โ Daily News June 30, 2026
Listen to the episodeAbout 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 โฌ7.4M 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
How Build competes
Competitors
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: โฌ7.4M / $8.5M
Lead: Index Ventures
Key Investors
Founding Team
Founders
Key Executives
- James Stirrat-Ellis - Co-founder & CEO
- Ben McClusky - Co-founder & CTO
Key Metrics
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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