Enterprise

Building control startup PassiveLogic inks partnership with Nvidia, secures $15M

Comment

Aerial shot of Brooklyn, New York city on an overcast day in summer, taken from over the Bedford-Stuvesant neighborhood.
Image Credits: halbergman / Getty Images

About five months after raising $15 million, PassiveLogic, which provides a platform to autonomously control building systems, has secured an additional $15 million in an “off-round” strategic investment from Nvidia’s venture arm, nVentures. The new cash brings PassiveLogic’s total raised to over $80 million, and CEO Troy Harvey tells TechCrunch it’ll be put toward expanding the Utah-based company’s headcount from 100 employees to 140 within the next year.

The investment represents a major vote of confidence in PassiveLogic, considering that the startup hasn’t released any products to the public yet (although a beta’s planned for later this year). Nvidia was perhaps won over by PassiveLogic’s go-to-market strategy, which netted the startup contractual commitments for the first two years of sales and distribution partners that plan to include PassiveLogic’s platform in construction and retrofit projects.

“We were impressed with PassiveLogic’s vision to revolutionize the real estate industry through autonomous operations at the edge,” nVentures head Mohamad Siddeek said in an emailed statement. “We are excited to support a world-class team with deep industry and technical expertise as they prepare to launch a highly differentiated solution with their initial customers.”

Harvey founded PassiveLogic in 2016 with Jeremy Fillingim, who was previously a partner at Mote Systems, where he designed a touchscreen universal remote control. Harvey is the ex-CEO of Heliocentric, an engineering firm that worked with clients to architect “next-generation” buildings.

PassiveLogic’s service — running on Nvidia’s Jetson computing platform — interfaces with legacy building systems using a combination of sensors, software and on-premises devices. The software lets customers create system models from 3D drawings or scans, which are then used to generate physics-based “digital twins” that predict how a buildings’ equipment will interact. Based on data from the digital twin, PassiveLogic makes control and management decisions for the real-world building’s systems.

PassiveLogic
Image Credits: PassiveLogic

“Our research indicates that the biggest use case for generalized autonomy is buildings, which represent 25% of the world economy,” Harvey told TechCrunch in an email interview. “Unlike cars, each building is a one-off, with entirely custom needs for autonomous controls … A large building could have 500,000 inputs and outputs — or sensors and controllable degrees of freedom. That is enormous.”

Beyond the aforementioned features, PassiveLogic automatically structures, labels and fuses building data into an ontology for use by third-party cloud apps. Responding to a question about privacy, Harvey asserted that all of PassiveLogic’s computing and storage happens at the edge and that data (e.g., from sensors) is maintained on an independent intranet not accessible to other IT infrastructure.

“To get to the future of real estate, there needs to be a digital platform that can aggregate building data, enable building managers to customize automation controls and act upon it in real-time,” Harvey said. “[T]he PassiveLogic platform solves the divide between IT and operational technology in the enterprise, and supports workflows that acknowledge that building controls purchasing decisions are most often made not at the C-level, but by the contractors installing controls.”

While PassiveLogic is currently focused on buildings and building infrastructure, Harvey believes that the company’s technology is applicable to other control systems, like energy grids and logistics and supply chain facilities. The long-term plan is to adapt PassiveLogic’s products to broader markets, including the utilities and networking sectors.

Competitors in the space include Honeywell, which recently launched an AI-powered building control system, and HVAC management startups BrainBox and 75F. There’s also Mesa, a platform from Sidewalk Labs designed to help commercial building operators optimize existing climate control systems.

More TechCrunch

Mobile app developers, including Patreon and Grammarly, are already integrating with Gemini Nano, its smallest AI model, the company announced during its I/O developer keynote on Tuesday. The companies, along…

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade

At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .

Google’s generative AI can now analyze hours of video

The AI upgrade will make finding the right content more intuitive and less of a manual search process.

Google Photos introduces an AI search feature, Ask Photos

Apple released new data about anti-fraud measures related to its operation of the iOS App Store on Tuesday morning, trumpeting a claim that it stopped over $7 billion in “potentially…

Apple touts stopping $1.8B in App Store fraud last year in latest pitch to developers

Online travel agency Expedia is testing an AI assistant that bolsters features like search, itinerary building, trip planning, and real-time travel updates.

Expedia starts testing AI-powered features for search and travel planning