Visual MVP prepared
A structured interface and proposed user journey have been created to support working-MVP development and pilot feedback.
Pilot workflow defined
The validation process is designed to test inputs, comparisons, assumptions, reporting and usability.
UK industry input
Early professional feedback has been gathered from people working across construction, architecture, BIM and sustainable building systems.
Founder-led expertise
The concept is being developed from experience in BIM, architectural design, SIP systems and low-energy construction.
THE EARLY-STAGE GAP
Important construction decisions are often made using fragmented information.
At feasibility stage, project teams frequently combine spreadsheets, supplier information, benchmark rates, drawings, project documents, consultant advice and professional judgement. Cost, programme, risk and sustainability may be reviewed separately, making alternative construction routes difficult to compare consistently before design progresses.
Fragmented assessment
Project information is often distributed across spreadsheets, emails, drawings, PDFs, supplier information and professional assumptions.
Design before method clarity
Detailed design may begin before the implications of alternative construction systems have been properly compared.
Sustainability considered separately
Carbon and thermal implications may be reviewed after the project direction has already become difficult or costly to change.
Inconsistent stakeholder communication
Early assumptions and trade-offs can be difficult to communicate clearly to clients and project stakeholders.
WHY THIS MATTERS
WHERE BUILDSENSE FITS
BuildSense AI sits before detailed design, BIM and procurement.
BuildSense AI helps project teams decide which construction route should be investigated further. It complements detailed professional workflows rather than replacing them.
HOW THE PLATFORM WORKS
A structured and explainable feasibility workflow.
BuildSense AI is intended to combine AI-assisted information handling with explainable construction logic. It is not designed as an unverified generative-AI black box.
Project information
Users enter basic project information, location, building type, size and feasibility priorities.
Document input
Users upload available plans, drawings, sketches, PDFs or project documents.
AI-assisted extraction
The proposed system assists with extracting and structuring relevant project information. Users must review and confirm extracted information.
Construction logic and benchmarks
Rule-based logic and benchmark data support comparison across cost, programme, carbon, thermal performance, buildability and risk.
Scenario comparison
Users review alternative construction methods and the effect of selected assumptions.
Explainable output
The platform provides an indicative route recommendation, assumptions, limitations, alternatives and a structured feasibility report.
FIVE-STAGE WORKFLOW
From project setup to an indicative feasibility report.
Outputs are indicative and depend on the quality of project information, assumptions, benchmark data, location and specification.
Step 01 — Set up the project
Enter the project type, approximate location, size, available information and early feasibility priorities.
Step 02 — Upload and confirm information
Upload available plans, drawings, sketches or project documents and review extracted or manually entered information.
Step 03 — Select construction routes
Choose SIP, timber frame, modular or offsite and traditional masonry for comparison.
Step 04 — Review scenarios and assumptions
Compare indicative cost, programme, carbon, thermal performance, buildability, delivery risk and supply-chain considerations.
Step 05 — Review the recommendation and report
Review the rationale, assumptions, limitations and alternative scenarios before generating an executive feasibility report.
PRODUCT SHOWCASE- Pilot STAGE
THE CORE INNOVATION
Moving construction-method decisions to the point where they can still influence the project.
BuildSense AI is not simply another cost calculator. Its proposed innovation is a pre-design decision layer that brings construction-method selection, indicative commercial assessment, programme implications, sustainability considerations, buildability and delivery risk into one repeatable workflow.
Earlier decision point
The comparison takes place before detailed design commitment.
Integrated trade-offs
Cost, programme, carbon, thermal performance, buildability and risk are reviewed together.
Method-led framework
Alternative construction systems can be assessed through a consistent comparison structure.
Explainable logic
The proposed workflow combines benchmark information, rules, assumptions and user-confirmed inputs.
Standardised reporting
The output is organised into a clear feasibility-report format for stakeholder discussion.
CURRENT SCOPE AND ROADMAP
Validation first. Expansion after evidence.
Current prototype and active MVP development are separated from future roadmap items so future functions are not presented as currently operational.
Current prototype and active MVP development
Project-information workflow, document upload, AI-assisted data extraction, user review, rule-based construction-method comparison, indicative outputs, scenario comparison, explainable recommendation, executive feasibility report and PDF export.
Future roadmap
Expanded UK regional benchmark coverage, additional construction systems, more detailed carbon comparison, saved history, team workspace, supplier datasets, reporting, integrations, API exchange and international expansion after UK validation.
VALIDATION BEFORE SCALE
The product is being tested before wider commercial expansion.
BuildSense AI is following a phased Build–Measure–Learn approach. Early professional interest is evidence of relevance, not proof of commercial adoption. Formal pilot participation will depend on project suitability, availability, product readiness and agreed terms.
Workflow evidence
A structured pilot approach has been defined around project inputs, comparison logic, reporting and feedback.
Pilot interest
Initial interest has been documented from professionals who may review or test the platform during the pilot stage.
Industry feedback
Professionals across construction, BIM, architecture and sustainable building have reviewed the concept and identified potential relevance.
Product evidence
A visual MVP and proposed user journey have been prepared.
WHO IT’S FOR
Designed for smaller project teams making important early decisions.
Project suitability and output depth will vary according to available information and the scope of the pilot MVP.
SME residential developers
Compare construction routes before committing substantial design, consultant and procurement expenditure.
Architects and architectural designers
Help clients understand the early implications of different construction systems.
Residential contractors
Create a more structured feasibility discussion around method, programme, delivery and risk.
SIP, timber-frame and offsite specialists
Demonstrate where a construction system may suit a project and identify assumptions requiring further review.
UK PILOT PROGRAMME
Help test a more structured approach to construction feasibility.
BuildSense AI is preparing a limited pilot with suitable UK residential and construction-sector participants. The pilot will focus on workflow usability, relevance of the comparison, transparency of assumptions, report usefulness and practical commercial fit. Participation is subject to project suitability, product readiness, availability and agreed pilot terms.
Request Pilot Access
Request Pilot Access
FOUNDER–MARKET FIT
Developed from practical experience across BIM, sustainable construction and early project decisions.
BuildSense AI was founded by Firouzeh Hajihosseini, a BIM and sustainable construction specialist with more than eight years of experience across architectural design, digital construction and low-energy building systems. Her work has included UK construction projects, BIM coordination, design optimisation and feasibility-stage communication.
FROM PILOT TO COMMERCIAL USE
A practical route from validation to recurring revenue.
No active checkout or purchase flow is presented. Commercial options are indicative and subject to validation.
Selected Pilot Access
Free, limited and suitability-based during the validation stage.
Planned Professional Subscription
£49 per month. Indicative post-pilot professional subscription pricing, subject to validation and product readiness. Not currently available for purchase.
Planned One-Off Reports
A future transaction-based option for users who do not require a recurring subscription.
Future Partner and Enterprise Access
Potential licensing, data partnerships and team access after product validation.
A PHASED GROWTH PATH
Start with a focused UK problem, then expand the data and delivery model.
The scalable asset is not only the interface. It is the repeatable assessment workflow, structured benchmark library, comparison logic, reporting format and evidence generated through validated project use. The business intends to develop a proprietary and continuously improving benchmark and validation dataset over time.
Stage 1 — UK pilot validation
Test the workflow using suitable UK residential and SME construction cases.
Stage 2 — Early commercial rollout
Introduce professional access, one-off reports and improved regional benchmark coverage.
Stage 3 — Product and partner expansion
Expand construction methods, team functions, benchmark partnerships and integrations.
Stage 4 — Wider market expansion
Evaluate additional UK segments and selected international markets after UK validation.
FAQ
Common questions about the BuildSense AI pilot.
What is BuildSense AI?
BuildSense AI is a pre-design construction decision-support platform being developed to help project teams compare alternative construction routes before detailed design commitment.
What stage is the product at?
A visual MVP and proposed user journey have been prepared. A working MVP and pilot-validation process are being developed. The platform is not yet in unrestricted commercial release.
Which construction methods are included?
The initial framework focuses on SIP, timber frame, modular or offsite construction and traditional masonry.
Does BuildSense AI provide final quotations?
No. Cost outputs are intended to be indicative feasibility-stage estimates and do not replace contractor quotations, quantity-surveyor advice or detailed cost planning.
Is the £49 subscription available now?
No. £49 per month is indicative post-pilot professional subscription pricing and is not currently available for purchase.
How will project data be handled?
The final data-handling process will be explained in the Privacy Policy before live pilot use. Do not publish unconfirmed security or data-retention claims.
JOIN THE PILOT
Bring greater clarity to your next early-stage construction decision.
Join the BuildSense AI pilot programme and help evaluate a structured way to compare construction routes before detailed design begins. Pilot access is limited and subject to suitability and availability.