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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) raisedGrowth 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

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.

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

Delivery Method
SaaSAPI
Integrations
RevitIFCPDFCSVHomes England partnership
Project Phases
Pre-Design, Schematic Design, Construction Administration
Project Types
Residential, Mixed-Use

Data Transparency

Exactly what this tool uses and how

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
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
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)
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
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
Sources & Research NotesResearch date: 2026-02-01
Fields Checked (15)
problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, input-formats, output-structure, algorithm-approach, privacy-policy, control-features, useCases
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
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.