Agentic AI for derisking the largest asset class on earth.
Autonomous AI agents that ingest, model, and reason over building-level data to automate the most expensive knowledge work in commercial real estate.
The Origin
We saw a gap no one else could fill.
Energy audits are a $3B+ annual market, deployed across thousands of buildings, but stuck in the 1990s: manual, expensive, slow, and non-scalable. We built AI that does in minutes what took consultants weeks, at 5% of the cost and 1% of the time. We deployed it into the fastest-growing beachhead in commercial real estate: responsible investing.
Traction
2024 proved the model.
Contracted ACV, Jan 2023 through Dec 2024.
“Climate risk is investment risk. In the near future, and sooner than most anticipate, there will be a significant reallocation of capital.”
- Larry Fink, Chairman & CEO, BlackRock
Figures in CAD
The Headwinds
In 2025, things changed.
Political
ESG backlash, regulatory uncertainty, mandate rollbacks.
Technological
AI commoditized overnight. LLMs collapsed the moat around "AI-powered."
Market
Buyers and investors retrenched to the near term. Quick wins over long-term value protection.
Strategic
Audette proved too vertical. Sales cycles too long. ACV out of balance with CAC.
“In 2025, we removed [ESG] from more than 50 European strategies impacting $51 billion in assets. The language became too politicized to be useful.”
- Larry Fink, Chairman & CEO, BlackRock
The New Play
And so we adapted.
From product to infrastructure.
AI agents that embed directly into institutional CRE workflows. Not a dashboard. Not a report. Autonomous intelligence that ingests, reasons, and acts on building data at the point of decision.
Serving every dimension of building modernization risk: energy security, business continuity, market price of carbon, investor sentiment. Be in every transaction.
The Strategy
Embed upstream. Efficiency through network. Monetize downstream.
1. Embed across the value chain
MCP-native agents that interface with any AI workflow. Tokenized purchasing: per-query, per-building, per-transaction. Present wherever decisions touch building data.
2. Partner with service providers
Fill the consulting gap by arming engineering firms and advisors with our intelligence. Better margins for them. Distribution at zero CAC for us.
3. Capture downstream revenue
High-quality project recommendations drive implementation work. Service providers who benefit from our analysis become a recurring revenue channel.
In Practice
A working example.
Starwood Capital needed to automate ESG due diligence across acquisitions. We consulted on the build of their AI co-pilot and deployed it in two weeks.
We sit in a licensable data ecosystem
Audette plugs in next to the dataroom, GRESB, climate risk APIs, and cashflow models.
We consult on the build
Audette consults on the bespoke code that connects these sources into an AI agent purpose-built for Starwood's investment process.
The agent produces a capital strategy
Not just compliance answers. Retrofit ROI modeled against the hold-period cashflow. Transition risk priced into the bid. IC gets a complete investment picture.
Higher-value outcome for the client. Recurring revenue for us.
Starwood gets ahead of the market. We get embedded in every acquisition they run, and share in the projects that result.
Why Agentic
Not “AI-powered” SaaS. True Agentic AI.
Old
User-driven. Every workflow requires manual input.
Task-isolated. One action at a time, no context.
Static logic. Follows predefined rules, no learning.
Siloed tools. Requires integrations for every data source.
Rigid. Breaks when conditions change.
New
Autonomous. Operates with minimal supervision.
Goal-directed. Works toward outcomes, not isolated actions.
Multi-step planning. Decomposes complex objectives into sub-tasks.
Tool orchestration. Calls APIs, databases, and other agents.
Adaptive. Adjusts strategy based on feedback and environment.
“Jobs of 15 people can be done with a chatbot that costs $36 a month. AI is going to change the world faster than anything we've ever seen.”
Barry Sternlicht, CEO, Starwood Capital
“AI will impact 95% of jobs across the real estate workforce, making every task faster, smarter, and more cost-effective.”
Tim Breslin, SVP Technology, AvalonBay
“We're integrating carbon planning directly into our asset management decisions. Every investment choice now has a lens towards where the property needs to be.”
Paul Rode, Tishman Speyer
The Moat
Six years of compounding advantage.
Proprietary Data
75% of NA CRE in proprietary database. Years of data partnerships. Not scraped.
Validated Models
950K+ physics-based building models. Market-verified. Not hallucinated.
Domain Codification
50+ years of engineering logic encoded into inference rules. Not prompted.
Institutional Trust
GRESB, USGBC LEED v5 certified pathway. Not self-proclaimed.
Data Flywheel
Every building analyzed makes the next one better. Compounding by design.
Institutional Relationships
Trusted by the largest names in CRE. Six years of earned access. Competitors can't cold-call their way in.
Traction
A stable base. Real revenue. Real customers.
Notable Customers
Partners
Figures in CAD
Customer Voices
In their own words.
“Before, we had no way to quantify transition risk during due diligence. With Audette, not only can we quantify it, but we can understand it to make real decisions. That's not something we've ever been able to do before.”
Katie Cappola
VP Sustainability, Madison International Realty
$7B AUM
“What I care about is decarbonization intelligence so I can think about capital allocation at scale. You spoke the language of engineering as well as asset management, and provided a very clear capital planning tool. That really set you apart.”
Mauricio Serna
Global Head of Sustainability, Starwood Capital
$115B+ AUM
“Audette gives us the ability to conduct that quality of evaluation across our portfolio in a cost-effective way. All while producing a dynamic, interactive report. I just haven't seen an alternative that is competitive.”
Thomas Stanchak
Managing Director, Stoneweg
$11.6B AUM
The Market
Five entry points. One intelligence layer.
UN PRI · Altus Group · Natixis · Deloitte · Facilities Dive
The Team
Ready for Round 2.
12 FTEs. Six years working the problem. Ready to scale.
Christopher Naismith
Founder & CEO
Building scientist. Decade designing energy retrofits for institutional CRE. Led audit programs across hundreds of commercial buildings. JPMorgan's RE sustainability team: "one of the top five building decarb engineers worldwide."
Pallen Chiu
Chief Commercial Officer
Stanford MBA. 7 years at One Medical (now Amazon), built the B2B engine to $70M+ ARR across 8,000+ enterprise customers through IPO and acquisition. SVP Customer Success at Twin Health.
Tim Cull
VP Technology & Product
25 years in engineering leadership. 10+ years at BlackRock building quantitative portfolio and trading systems. Director of Engineering at Adobe (35-person team). Principal Architect at UrbanFootprint (climate data).
The Ask
Repositioning requires recapitalization.
Built for this moment.