ADAPT AI

PUBLIC

Name	ADAPT AI
Tagline	SaaS software helping real estate companies optimize investments and decarbonization trajectories by generating rehabilitation plans.
Headquarters	Paris, France
Founded	2023
Business Model	SaaS
Industry	Cleantech / Climatetech
Technology	AI / Machine Learning
Geography	Western Europe

Links

PUBLIC The following public links are confirmed for ADAPT AI.

• Website: https://www.adapt-ai.fr/en
• LinkedIn: https://ch.linkedin.com/in/dominique-lin-0a5b811a
• App Store: https://apps.apple.com/us/app/adapt-ai/id6759237866

Executive Summary

PUBLIC ADAPT AI is a French SaaS startup applying machine learning to a critical, capital-intensive problem: the decarbonization of commercial real estate portfolios. The company's software aims to replace manual, engineer-led audits with automated, data-driven rehabilitation plans, a proposition that aligns with tightening EU regulations and growing investor pressure for sustainable assets [ADAPT AI]. Founded in 2023, the company operates at the intersection of climatetech and proptech, offering a tool that predicts missing building data and generates optimized investment pathways for energy retrofits and solar deployment [ADAPT AI, retrieved 2024]. The core differentiation appears to rest on its predictive algorithms, which promise to reduce the need for costly on-site diagnostics and accelerate portfolio-wide planning [ADAPT AI, retrieved 2024]. While the specific founding team and their backgrounds are not publicly disclosed, the company's positioning on platforms like the ITU's AI for Good summit suggests an early focus on establishing thought leadership within the sustainability and regulatory ecosystem [AI for Good - ITU]. There is no publicly confirmed funding history, indicating the company is likely bootstrapped or in a very early, undisclosed funding round. Over the next 12-18 months, the key signals to monitor will be the announcement of initial customer deployments, any seed or Series A financing to scale its commercial efforts, and the maturation of its dataset, which is the likely foundation for its machine learning claims.

Data Accuracy: YELLOW -- Product claims are sourced from the company's website; market context and lack of team/funding data are corroborated by absence in public databases.

Taxonomy Snapshot

Axis	Classification
Business Model	SaaS
Industry / Vertical	Cleantech / Climatetech
Technology Type	AI / Machine Learning
Geography	Western Europe

Company Overview

PUBLIC

ADAPT AI is a Paris-based SaaS company established in 2023, focusing on the application of machine learning to decarbonize commercial real estate portfolios. The company's public-facing materials describe a mission to help property owners and businesses optimize their investment and energy transition strategies by generating data-driven rehabilitation plans [ADAPT AI, retrieved 2024]. The founding story and the identities of its founders are not publicly disclosed.

The company's headquarters are listed in Paris, France, and its legal entity is identified as ADAPT AI SAS on its website [ADAPT AI, retrieved 2024]. A key early milestone was the launch of its core software platform, which aims to predict missing or erroneous data within an asset portfolio without requiring on-site engineering diagnosis [ADAPT AI, retrieved 2024]. The company has also developed a mobile application, available on the App Store, and has been featured as a speaker at an AI for Good event hosted by the International Telecommunication Union [App Store, Unknown] [AI for Good - ITU, Unknown].

Data Accuracy: YELLOW -- Core company description and location confirmed via primary website; founding details and milestones lack independent corroboration.

Product and Technology

MIXED

The core proposition is a SaaS platform that automates the generation of decarbonization and rehabilitation plans for commercial real estate portfolios. The software ingests portfolio data and, using machine learning algorithms, analyzes it to identify areas for improvement, from energy efficiency to rooftop solar potential [ADAPT AI, retrieved 2024]. A key technical claim is the product's ability to predict missing or erroneous data within a portfolio without requiring an on-site engineer's diagnosis, which could significantly reduce the time and cost of initial building audits [ADAPT AI, retrieved 2024]. The output is presented through simplified visual representations to facilitate investment and compliance decisions.

Beyond core portfolio analysis, the company's public materials suggest an expansion into adjacent operational workflows. The software is described as helping organizations scan for rooftop solar potential at scale, identify optimal sites for rehabilitation, and accelerate solar rollout [AI for Good - ITU]. It also mentions ensuring parking compliance with EU environmental regulations, indicating a move into regulatory reporting tools [AI for Good - ITU]. An iOS application is listed on the App Store, though its specific function relative to the core SaaS platform is not detailed [App Store].

Technical stack specifics are not disclosed. The company's public job posting for a role based in Paris, Geneva, or remote lists required skills in Python and data science, which supports the inference of a Python-based backend for data processing and model development (inferred from job postings) [Stage.fr]. The posting also mentions experience with geospatial data, aligning with the solar potential and portfolio mapping features.

Data Accuracy: YELLOW -- Product claims are sourced from the company's own website and a speaker profile. Technical stack is inferred from a single job posting.

Market Research

PUBLIC The decarbonization of the built environment has moved from a compliance checkbox to a core financial and strategic imperative for asset owners, driven by a tightening web of regulation, rising energy costs, and shifting tenant and investor preferences.

Third-party sizing for the specific niche of AI-driven real estate decarbonization planning is not yet available, but the broader market context is substantial. The global green building materials market, a key input for the rehabilitation plans ADAPT AI generates, was valued at $382 billion in 2022 and is projected to reach $951 billion by 2032, growing at a 9.6% CAGR [Allied Market Research, 2023]. This serves as a proxy for the scale of the underlying renovation activity the software aims to optimize. Within Europe, the demand is particularly acute. The EU's Energy Performance of Buildings Directive (EPBD) mandates that all new buildings be zero-emission by 2030, with existing stock required to meet higher energy performance standards on an aggressive timeline [European Commission, 2023]. This regulatory push creates a non-discretionary, time-bound market for planning and compliance tools.

Demand is further amplified by financial pressures and market signals. Energy represents a significant and volatile operating cost for real estate portfolios. Simultaneously, lenders and institutional investors are increasingly applying sustainability-linked criteria to their financing and investment decisions, a trend encapsulated by frameworks like the EU's Sustainable Finance Disclosure Regulation (SFDR). This convergence means that a robust decarbonization roadmap is no longer just an environmental report but a document that directly influences asset valuation, financing terms, and insurance costs. The software's promise to "optimize investments" speaks directly to this financialization of carbon performance.

Adjacent and substitute markets provide both context and competitive pressure. Traditional sustainability consultancies and engineering firms offer manual audit and planning services, which are comprehensive but slow and expensive. At the other end of the spectrum, pure-play building energy management software (BEMS) focuses on monitoring and controlling existing systems for efficiency but does not inherently generate capital investment plans for deep retrofits. ADAPT AI's proposed wedge sits between these two: automating the data analysis and plan generation that consultants perform, while going beyond the operational focus of BEMS to prescribe the capital projects needed for compliance and value enhancement.

Metric	Value
Green Building Materials 2022	382 $B
Green Building Materials 2032	951 $B (projected)

The projected near-tripling of the green building materials market over a decade underscores the scale of the physical retrofit activity ahead, representing the tangible economic output that software like ADAPT AI seeks to make more efficient and data-driven.

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous, adjacent sector report; regulatory drivers are cited from official EU publications. The specific SAM for AI-driven decarbonization planning software remains unconfirmed by third-party research.

Competitive Landscape

MIXED, ADAPT AI operates in a nascent but rapidly formalizing segment of climatetech, where its direct competition is sparse but adjacent substitutes and large incumbents are numerous.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Deepki	End-to-end ESG data intelligence platform for real estate investors and managers, focusing on portfolio decarbonization.	Growth-stage. €150M Series C raised in 2022, €163M Series D in 2024.	Comprehensive platform with extensive ESG data collection, regulatory reporting, and a large established client base.	[Crunchbase, 2024]

The competitive map for real estate decarbonization software is stratified by scope and customer maturity. At the broadest level, enterprise ESG platforms like Deepki, Measurabl, and Accacia offer holistic suites for data management, reporting, and compliance. These incumbents compete on footprint and integration depth, often requiring significant data input and consultancy. A layer below, specialized analytics tools target specific technical workflows, such as building energy modeling (e.g., cove.tool, IESVE) or solar potential scanning. ADAPT AI's positioning appears to sit between these layers, offering a narrower product than a full ESG suite but a more automated, plan-generating output than a pure modeling tool. Its most direct adjacent substitutes are not other startups but the internal engineering teams and sustainability consultants that real estate companies traditionally rely on to manually assess portfolios and draft retrofit roadmaps.

ADAPT AI's claimed edge rests on its software's ability to automate the generation of rehabilitation plans and predict missing portfolio data. This is a product-centric differentiator aimed at speed and scalability, reducing reliance on manual, on-site audits [ADAPT AI, retrieved 2024]. The durability of this edge is contingent on the proprietary sophistication of its machine learning algorithms and the quality of its underlying data models. If the core prediction engine is genuinely accurate across diverse European building stocks, it could create a technical moat. However, this is a perishable advantage. Larger incumbents with deeper R&D budgets and access to vast anonymized portfolio data could replicate similar predictive features, while specialized engineering firms could augment their services with off-the-shelf AI tools.

The company's most significant exposure is to the distribution and trust advantages held by established platforms. A competitor like Deepki, with its reported €300M+ in total funding and large enterprise client roster, can bundle decarbonization planning as a module within its existing suite, leveraging entrenched sales relationships [Crunchbase, 2024]. ADAPT AI, without disclosed funding or a public customer list, lacks the channel ownership and brand recognition to easily displace an incumbent at a major real estate fund. Furthermore, its focus on automated planning may be a disadvantage when dealing with complex, high-value assets where clients demand the nuanced, consultative hand-holding that larger platforms or engineering firms provide.

The most plausible 18-month scenario involves market definition rather than a head-to-head knockout. The winner will be the company that successfully defines the standard workflow for mid-market real estate portfolios seeking EU compliance. If regulatory pressure accelerates and mid-tier companies prioritize speed and cost over bespoke consultancy, ADAPT AI's automated, SaaS-native approach could win. The loser in that scenario would be the traditional sustainability consultant operating without a scalable software layer. Conversely, if enterprise buyers continue to favor integrated, one-stop-shop platforms, the winner is Deepki or a similar incumbent that can absorb the planning functionality, and ADAPT AI would face pressure to either niche down further on a specific technical analysis or seek a partnership or acquisition path.

Data Accuracy: YELLOW, One named competitor (Deepki) is confirmed with funding details; the broader competitive map is inferred from the sector and adjacent company profiles. ADAPT AI's own positioning is sourced from its website.

Opportunity

PUBLIC

If ADAPT AI can successfully automate the complex, data-intensive process of planning real estate decarbonization, it stands to capture a central and recurring role in the multi-trillion-dollar global real estate transition.

The headline opportunity for ADAPT AI is to become the default operating system for real estate portfolio decarbonization in Europe. The company's software, which generates rehabilitation plans and predicts missing data, directly targets a critical pain point: the high cost and slow speed of manual audits and planning. The European Union's regulatory push, including directives like the Energy Performance of Buildings Directive (EPBD), is creating a non-optional compliance burden for property owners and managers [AI for Good - ITU]. A tool that can scale this process and tie it to financial optimization addresses a mandatory, recurring need, positioning ADAPT AI as essential infrastructure rather than a discretionary efficiency tool. The outcome is a platform that sits at the nexus of capital planning, regulatory compliance, and asset valuation for the built environment.

Growth is likely to follow one of several concrete paths, each hinging on a specific catalyst.

Scenario	What happens	Catalyst	Why it's plausible
Regulatory-Driven Adoption	ADAPT AI becomes a compliance utility for large real estate investment trusts (REITs) and asset managers across the EU.	The enforcement of stricter building energy standards and mandatory renovation roadmaps creates a sudden, uniform demand for automated planning tools.	The company's public positioning explicitly links its solutions to ensuring parking compliance with EU environmental regulations, indicating a focus on this driver [AI for Good - ITU].
Platform Expansion via Data	The company uses its aggregated portfolio data to launch new financial products, such as green financing underwriting or ESG benchmarking.	Securing a marquee anchor client with a vast, diverse portfolio provides the foundational dataset to train more predictive models.	The core product claim is its ability to analyze large datasets and predict missing information, establishing the data-centric foundation for this expansion [ADAPT AI, retrieved 2024].

Compounding for ADAPT AI would manifest as a data and workflow moat. Each new portfolio analyzed improves the machine learning models' accuracy for predicting energy performance and optimal retrofit measures. This, in turn, makes the software's recommendations more valuable and defensible. Furthermore, as rehabilitation plans are executed, the software could integrate with project management and procurement systems, deepening its embedment in the client's operational stack. The initial sale of a planning tool creates a natural entry point for managing the execution and financing of those very plans, locking in recurring revenue and expanding the average contract value over time.

Deepki's scale and valuation signal investor belief in the category's potential. If ADAPT AI executes on the regulatory-driven adoption scenario and captures a meaningful share of the European commercial real estate market, an outcome in the hundreds of millions of euros in enterprise value is plausible (scenario, not a forecast). This represents the premium the market could assign to a company that systematizes a mandatory, high-stakes process for a multi-trillion-euro asset class.

Data Accuracy: YELLOW -- The opportunity analysis is based on the company's stated product capabilities and the well-documented macro trend of EU building decarbonization. Specific growth catalysts and the competitive benchmark are inferred from the available public information.

Sources

PUBLIC

1. [ADAPT AI, retrieved 2024] Adapt AI | Transition énergétique | Plan de décarbonation | https://www.adapt-ai.fr/en

2. [AI for Good - ITU, Unknown] ADAPT AI - AI for Good - ITU | https://aiforgood.itu.int/speaker/adapt-ai/

3. [App Store, Unknown] Adapt AI App - App Store | https://apps.apple.com/us/app/adapt-ai/id6759237866

4. [Stage.fr, Unknown] Postes chez Adapt ai | Stage.fr | https://www.stage.fr/company/136681/adapt-ai/

5. [Allied Market Research, 2023] Green Building Materials Market | https://www.alliedmarketresearch.com/green-building-materials-market-A53507

6. [European Commission, 2023] Energy Performance of Buildings Directive (EPBD) | https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficient-buildings/energy-performance-buildings-directive_en

7. [Crunchbase, 2024] Deepki - Crunchbase Company Profile | https://www.crunchbase.com/organization/deepki