De-risk real estate projects: AI + experts catch design non-compliance in hours, before it costs you
Increased fit out approval pace
300 housing projects analyzed in a month
10% of budget saved per project through exhaustive check

Solution Overview

for

Public owners / contracting authorities, Private developers, Facility managers / asset operators

Real estate projects run on architectural plans that must satisfy a dense web of constraints: building regulations (fire safety, accessibility, thermal), consistency across dozens of interdependent documents, and each client’s own specifications. Today this checking is manual тАФ done by scarce experts, under time pressure, across hundreds of pages. It’s slow, expensive, and inevitably incomplete.
The errors that slip through don’t stay cheap. A non-compliance missed at design phase surfaces later as a permit rejection, on-site rework, or dispute тАФ when fixing it costs orders of magnitude more and delays the entire project.
Property owners carry this risk but have no practical way to verify their plans before committing. They either trust the process and hope, or spend weeks on reviews that still miss things.
The result: avoidable cost, delay, and exposure baked into projects from the start тАФ precisely when they’d be easiest to prevent.

Our Solution:

Clients send us their project documents; we return a structured audit within hours to a few days, depending on scope.
We check four things at once: regulatory compliance (fire safety, accessibility, thermal and other building codes), cross-document consistency (that plans, schedules, and specs agree with each other), conformity to the client’s own specifications, and adherence to construction best practices. Each finding is flagged, located in the source, and explained тАФ so teams know exactly what to fix and where.
The engine combines AI with human expertise. AI reads and cross-references hundreds of pages faster than any manual review; our domain experts validate findings and handle the judgment calls regulations always require. This hybrid keeps us fast and reliable.
The output is an actionable report that de-risks the project at its cheapest stage to fix: design.

How it works:

Our technical edge is a hybrid engine. AI reads and cross-references entire project document sets at a speed no human team can match, while our domain experts validate findings and make the judgment calls regulations always demand. Fast and reliable, not one at the expense of the other.
But the real differentiator is the business model. We deliver a verified result through our service and stand behind it. We take on the risk through our expertise, to the opposite of software licensing. The client outsources not just the work but the responsibility for catching what matters, which is exactly what they can’t get from a tool alone.

AI + human experts catch design non-compliance in hours, de-risking major real estate projects.

Classification & Use Cases

Lifecycle stage(s) addressed:

Planning & design (BIM, design tools, permitting, simulation, etc), Asset & facility management (smart building tech, CMMS, predictive maintenance, tenant experience), Project management

Core technology types:

AI / machine learning, Computer vision
BIM IFC
Key use cases in practice:
A shopping center owner leases units to dozens of tenants, each submitting their own fit-out plans before works begin. Every design must comply with regulation and the landlord’s own technical specification book тАФ fire safety, accessibility, fa├зade and signage rules, MEP tie-ins, materials. Reviewing each submission manually is slow and inconsistent, and a miss surfaces later as an on-site conflict or a compliance gap the landlord ultimately owns. We verify each tenant’s fit-out design against four axes: regulatory compliance, consistency across the tenant’s own documents, conformity to the landlord’s specification book, and construction best practices. The landlord gets a structured report per submission тАФ each issue located to the exact document and page, with the fix тАФ within hours to days. Tenants correct designs before works start, and the landlord approves fit-outs faster and with far less risk.

Maturity & Traction

Stage
Early commercial (1тАУ10 customers)
Customers
8
Regions
Europe and Central Asia (ECS), Middle East, North Africa, Afghanistan and Pakistan (MNA / MEA)

Main:┬а

France, Spain, UAE
Team
16тАУ50

employee(s)

Leading European shopping-center landlord Major residential project owners (Vinci, Eiffage, etc.) Socotec

Impact & SDGs

Contribution to any of the 17 Sustainable Development Goals:
SDG 9 тАФ Industry, Innovation and Infrastructure We bring AI to a sector that still runs on manual document review, making construction infrastructure safer and more reliably built. Catching design flaws before they’re built means resilient, standards-compliant buildings from the start.

SDG 11 тАФ Sustainable Cities and Communities Non-compliant buildings compromise safety and durability. By verifying fire safety, accessibility, and building-code conformity at design phase, we help ensure the built environment is safer, more accessible, and more sustainable for everyone.

SDG 12 тАФ Responsible Consumption and Production On-site rework wastes materials, energy, and labor at scale. By catching errors before construction, we cut demolition and rebuild waste тАФ making building production leaner and more resource-efficient.

SDG 8 тАФ Decent Work and Economic Growth We augment scarce expert reviewers rather than replace them, letting them focus on high-value judgment while AI handles volume. This raises productivity in a labor-constrained sector and supports skilled, higher-value work.
Main impact areas
Productivity / cost efficiency, Quality & defects reduction

Guillaume LEFEVRE

Chief of Staff
guillaume@freeda.so
Funding status:
Series A
Participation if invited:
Either

Team & Organization

Founding team:
Peter Starr – CEO – Ex Urbanist at AECOM Mariano Rodriguez – CSO – Paris Saclay PhD in Applied MAthematics and Computer Science