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TESSA by Modulous

AI-powered residential design and feasibility automation

TESSA automates the generation of optimized multifamily housing schemes (3-25 storeys) from site data, producing costed and carbon-quantified design options in minutes with full BIM compliance and detailed feasibility studies.

£10M ($11.7M Series A) raised 📈 Growth Stage

Founded 2018 • Partnerships with Homes England, Bristol City Council, and UK/US developers (exact count not disclosed)

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Why This Tool Exists

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The Problem

Housing developers and landowners spend weeks to months conducting feasibility studies through consultant-led processes to determine what can be built on a site and at what cost. Manual design iteration delays decision-making and requires expensive specialist expertise, blocking investment decisions and land optioning timelines.

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The Solution

TESSA automates multifamily housing design generation by analyzing site parameters and creating multiple structurally viable, cost-estimated, and carbon-quantified design options in minutes. Integrates with a standardized modular building system (Modulous Kit of Parts) to ensure all designs are buildable, reducing speculation and enabling rapid appraisal.

How You Use It

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Delivery Method

SaaS API

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Integrations

Revit IFC PDF CSV Homes England partnership

Disciplines

Architecture, Developer/Owner, Civil Engineering

Project Phases

Pre-Design, Schematic Design, Construction Administration

Project Types

Residential, Mixed-Use

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Site location (postcode or Land Registry title), Briefing criteria (number of units, density targets, cost targets)

Optional: Design preferences (typologies, facade options), MEP system selections

Formats: Postcode lookup, Land Registry data, Web form inputs, Digital site specifications

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Output

What you get

Format: Costed, carbon-quantified design options with comprehensive feasibility documentation

Fields: Optimized 3D massing, Detailed floor plans with area schedules, Cost plans with live data, Embodied carbon calculations (Scope A1-A3), BIM models, Design summary reports

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Algorithm

How it works

Model: Proprietary generative design engine (model details not publicly disclosed)

Accuracy: Claims structurally viable and buildable designs with "fully costed and carbon quantified" data (third-party validation not published)

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Privacy

How your data is protected

Retention: Project-based retention; personal data retained as long as necessary per GDPR, minimum 30 days for deletion requests

Training: Not publicly specified

Compliance: GDPR compliant, Data Protection Act 2018, Privacy by design philosophy, No personal data sharing without business justification

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Rapid site appraisal and feasibility before land optioning
• Developer comparison of cost and carbon metrics across design options
• Landowner ROI modeling for residential development decisions
• Consultant reduction of speculative early-stage design work
• Architect generation of multiple code-compliant design alternatives
• Modular housing project planning and supply chain readiness

Pricing

Free

Not publicly specified

Pro

Licensing model (cost contact vendor)

Enterprise

Consultancy services available; custom pricing for managed services

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (9)

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Verified Data (15)

problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, input-formats, output-structure, algorithm-approach, privacy-policy, control-features, useCases

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Not Found (8)

pricing-tiers, api-documentation, algorithm-accuracy-metrics, soc2-certification, iso27001-certification, data-retention-policy-specific-days, training-data-usage, exact-customer-count

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.