Participated · Seed · Aug 2025

Interhuman AI is developing the first social intelligence system to enable AI to interpret human expressions, gestures and tone of voice. It combines computer vision, audio analysis, psychology and behavioral science to translate raw human cues into contextual social signals. Those signals can be added to AI systems via a platform and API using only a few lines of code. The technology targets applications in training and coaching, digital health, sales and customer service to make interactions more natural, personalised and empathetic. The company was founded in Copenhagen by a team with deep AI expertise, startup experience and strong academic research backgrounds and is supported by advisors in psychology, UX, business development and AI. Interhuman AI raised a €2 million pre-seed round and will use the funding to build its platform and models core, scale development and expand its team of AI engineers.

Participated · Series A · Feb 2018

Eko Health develops AI-enhanced digital stethoscopes and companion software that combine acoustic heart and lung sounds with ECG to aid detection of cardiac conditions. Founded in 2013, the company has sold its stethoscope to more than 500,000 physicians and healthcare providers and has amassed chest-sound and ECG data from millions of patients to train its algorithms. Eko has received FDA clearance for three algorithms, including an April clearance to help detect early signs of heart failure and recent clearance to detect heart murmurs. The company positions its AI to improve the consistency and accuracy of routine exams, bringing cardiology-level assessment to primary care and frontline clinicians. Eko plans to use the new funding to train algorithms to detect pulmonary conditions such as asthma and pneumonia and to expand sales of its device and software outside the U.S. Clinical validation includes a Massachusetts General Hospital study that found Eko’s AI identified more than twice as many patients with heart disease compared to primary care doctors. Eko develops smart stethoscopes and an FDA-cleared AI platform used by hundreds of thousands of healthcare professionals worldwide to detect and monitor heart and lung disease. The company collects phonocardiogram (PCG) and electrocardiogram (ECG) data with its DUO ECG + Digital Stethoscope to train machine-learning algorithms. Eko has partnered with Lifespan Health System’s Cardiovascular Institute to develop an algorithm that detects and stratifies pulmonary hypertension (PH). The goal is an easy-to-deploy, low-cost tool that enables earlier and more accurate identification of PH and improves clinical decision-making. Eko’s work aims to reduce long diagnostic delays and provide a scalable alternative to costly, invasive gold-standard tests. Eko develops digital stethoscopes with features such as noise-canceling, recording, and visualization of heart sounds alongside FDA-cleared clinical support algorithms. In 2020 the FDA granted 510(k) clearance to a suite of Eko algorithms for detecting heart murmurs and atrial fibrillation, and additional clinical results were published in The Journal of the American Heart Association in 2021. The company has launched Eko App, which integrates those algorithms to capture heart sounds and ECG data in the background and provide immediate analysis or summary reports in the exam room. Eko positions this software as a clinical decision support system to help clinicians—particularly in ambulatory and rural primary-care settings—interpret cardiac data. The company is pursuing broader screening for structural heart disease and heart failure, and an independent NHS trial with Mayo Clinic collaborators showed an algorithm could flag LVEF around 40% after 15 seconds of listening, though that algorithm has not yet received FDA clearance for clinical use. Eko plans to commercialize these capabilities and continue product development backed by recent funding. Eko develops a platform that pairs advanced sensors and clinician- and patient-facing software with AI algorithms to elevate detection and monitoring of cardiac and respiratory disease. The company reinvented the stethoscope and introduced a combined handheld digital stethoscope and electrocardiogram (ECG), and its AI analysis is FDA-cleared to help detect heart rhythm abnormalities and structural heart disease. Its FDA-cleared platform is used by tens of thousands of clinicians treating millions of patients around the world, both in-person and via telehealth. Eko has recently launched a telehealth platform and achieved product milestones including clearance of its AI suite. The company plans to expand in-clinic use of its telehealth and AI platform and to launch a home monitoring program for cardiopulmonary patients. Eko is headquartered in Oakland, California and announced new funding to accelerate growth. Eko develops advanced sensors, clinician and patient software, and AI algorithms integrated into a digital stethoscope platform for cardiac and respiratory disease detection and monitoring. The company’s cardiac AI algorithms are cleared by the U.S. Food and Drug Administration and it has launched an AI-powered telehealth platform. Its technology is used by tens of thousands of clinicians, in more than 1,000 institutions worldwide, treating millions of patients. Eko is headquartered in Oakland, California and is privately held. The company has strategic investors including ARTIS Ventures, NTT Venture Capital, DigiTx Ventures, Mayo Clinic, and Sutter Health. Ongoing clinical validation with academic partners is a stated priority to extend cardiologist-level auscultation to general practitioners.

Participated · Series A · Apr 2016

Konux builds SaaS products that combine machine learning and Industrial Internet of Things (IIoT) to operate, monitor and automate railway maintenance processes, aiming to increase capacity, reliability and cost-efficiency. The company says clients reduce maintenance expenses by more than 25%. Konux is active in ten countries across Europe and key rail markets in Asia. After the latest financing the company positions itself as the largest AI scale-up in Europe in sustainable transportation. The raised capital will be used to hire 100 data scientists and software engineers, tripling headcount to about 300 and expanding the product portfolio and global market footprint. Konux won a DB tender to digitize 1,300 switches under a long-term framework agreement, with DB investing €15M in that stage. The company was founded in 2014 by Andreas Kunze, Dennis Humhal, Maximilian Hasler and Vlad Lata and is based in Munich. KONUX combines smart sensors with AI-based analytics to enable higher train punctuality and increased network capacity through predictive maintenance planning and optimized railroad utilization. Co-founded by Andreas Kunze (CEO), Dennis Humhal (COO) and Vlad Lata (Vice-Chairman), the company focuses on railway analytics and optimization. KONUX was named one of the most innovative scale-ups by the World Economic Forum. Financially, the company completed a Series B extension of €11.5 million, bringing the round total since last year to €29 million and total funding to date to €44 million. Boundary Holding joined the Series B1 extension (amount undisclosed) alongside earlier investors, and the capital is intended to support international expansion. The company plans to expand into railway-dense regions including parts of Europe, Asia, Southeast Asia and India. Konux develops a solution that pairs smart sensors with AI-based analytics to enable predictive maintenance planning for railroad infrastructure. Its platform allows clients to continuously monitor infrastructure, identify maintenance needs ahead of time, and improve operational efficiency. By enabling predictive maintenance and optimized utilization of railroads, the company aims to increase train punctuality and network capacity. Led by CEO Andreas Kunze and based in Munich, Konux intends to use its recent funding to accelerate product development and drive international market expansion. The company aims to be active in more than half a dozen countries by the end of the year. In April 2018 it completed a $20m Series B financing. Konux develops a solution that pairs smart sensors with AI-based analytics to provide real-time asset performance monitoring and enable predictive maintenance. The company has begun deployments with Deutsche Bahn to digitize rail switch condition monitoring. Led by CEO Andreas Kunze, Konux intends to use the new funding to add product features and expand into additional European countries. Founded in 2014, the company has a team of about 35 employees. Prior to the latest close, Konux had raised a total of $18M. The product and go-to-market focus is on industrial asset condition monitoring for rail operators and similar customers. Konux develops smart sensor systems and data analytics powered by artificial intelligence to help industrial companies analyze machine problems, predict maintenance needs, and generate real-time machine insights. Its products aim to increase equipment uptime and reduce maintenance costs. The company is led by CEO Andreas Kunze and is based in Munich, Germany. Since its inception at the end of 2014, Konux has acquired multiple customers including major customer Deutsche Bahn. In April 2016 Konux raised $7.5M in a Series A to fund platform expansion and product rollouts for new and existing customers.

Participated · Equity · Mar 2016

Verdigris Technologies builds a cloud-first platform that combines high-frequency sensors with AI analytics to monitor electrical behavior inside existing panels. The sensors sample thousands of times per second, delivering sub-second visibility into load patterns, power quality, and early fault conditions. Designed for the extreme power densities of modern AI data centers, the solution helps operators increase reliability, reclaim usable capacity, and cut energy waste. Fortune 500 companies already deploy Verdigris across mission-critical data centers and other facilities in the United States. The company is initially focused on high-performance AI data centers but intends to extend its technology to additional mission-critical environments that require similar precision. By pairing hardware and software, Verdigris positions itself as an essential layer of electrical intelligence for next-generation compute infrastructure.

Participated · Equity · Dec 2015

Stringr began as a marketplace connecting news organizations with videographers and has expanded into a broader cloud-based video production platform. The company reports a network of more than 100,000 videographers and has added tools for live streaming, transcription, and editing to streamline production. Some customers use Stringr just for footage, while others rely on it as a purely cloud-based solution for producing news programming when staff cannot come into the office. Stringr also launched Embed Studios, a division that uses its videographer network to create branded content for clients including Corcoran, Zillow, HBO Max, Amazon, TikTok, Mastercard, United Way and MGM. The company says demand has increased amid COVID-19 as media companies seek more cost-effective production workflows. Financially, Stringr has raised new funding and says its total capital raised is $7.25 million. Stringr operates a comprehensive video marketplace that enables media organizations to source custom footage, edit and publish under tight deadlines. The company leverages a nationwide network of more than 60,000 responsive videographers who provide broadcast-quality video in every major U.S. market. Stringr collaborates with The Associated Press by providing a selection of daily video stories for syndication through AP’s VideoHub marketplace. The company was founded in 2014 by Lindsay Stewart and Brian McNeill, who met at The Wharton School, and is based in New York City. Stringr raised more than $1M in the latest funding and has raised $4.6M to date. It intends to use the new funds to accelerate growth, including integration of its service into partners’ products. Stringr operates a marketplace that lets media customers post requests for footage and receive submissions, often in under an hour. The platform is open to professional videographers and casual contributors, but emphasizes quality through a curation team that works with both newsrooms and shooters. CEO and co-founder Lindsay Stewart previously worked as a TV news producer for ABC, Bloomberg and Fox News, and says the service was born from newsroom needs. Stringr currently hosts 10,000 videographers on its platform. The company's present focus is editorial footage for breaking news and evergreen stories, with potential to expand to other businesses that need video. Stringr plans to apply learnings from pilot markets toward a nationwide push.