Our Story

Buildings waste 30% of their energy.
We're fixing that.

Commercial buildings are the second largest source of carbon emissions in the US. The technology to fix this has existed for decades. The problem was never hardware — it was the impossibility of making sense of all the data.

The problem we saw

Building analytics has been broken for 20 years. Every vendor promised “insights,” but delivered dashboards that required a PhD to interpret and months of consultant time to set up. Meanwhile, buildings burned energy unnecessarily, tenants complained, and facility managers drowned in alerts.

The reason: traditional analytics requires a perfect digital model of every building. Site drawings. Equipment schedules. Manual point mapping. Protocol translation. For every building. Every time.

We asked: what if AI could eliminate all of that?

The old way
01Site survey & drawings
2–4 weeks
02Equipment schedule creation
3–6 weeks
03BAS point mapping
4–8 weeks
04Custom data connector dev
6–12 weeks
05Analytics configuration
4–8 weeks
06First insight
6+ months later

What we built

Datakwip is the first building intelligence platform that doesn't require you to already understand your building. The AI does that for you.

Zero-touch onboarding

Connect your BAS and walk away. Our AI identifies every piece of equipment, maps every point, and starts generating insights — without site drawings, equipment schedules, or custom code.

AI agents, not dashboards

We don't give you another thing to stare at. We give you AI agents that work continuously — finding savings, detecting faults, generating reports, communicating with stakeholders. Autonomously.

Virtual everything

Patent-pending AI creates equipment-level energy meters, virtual sensors, and predictive models from data you already have. No hardware. No installation. No $500-per-point bills.

Who we are

A team of energy engineers, AI researchers, and software builders who got tired of watching the building industry solve hard problems with spreadsheets.

🏗
Energy Engineering
Deep ASHRAE, BAS, and commissioning expertise. We've mapped tens of thousands of BAS points by hand — which is why we knew the AI could do it better.
🧠
Machine Learning
State-of-the-art models for time-series building data, anomaly detection, and natural language understanding. We publish research; we don't just consume it.
🎨
Product Design
Building analytics tools have historically been designed by engineers, for engineers. We design for the facility manager who needs an answer in 30 seconds.
Data Infrastructure
Processing millions of time-series data points per building, per day, in real time. Built on battle-tested infrastructure that scales to thousands of buildings.

Ready to see it in your building?

Connect your first building. Get your first insight within hours.