Led · Series A · Aug 2026

Edgify is an edge AI company whose distributed learning framework trains and runs computer-vision models directly on devices a retailer already owns, so transaction data never has to leave the store. The company operated as Pixoneye, analysing consumer smartphone photo galleries for predictive marketing, before shifting from consumer applications to business use cases; the registered entity behind both names is Edgify AI Ltd., incorporated in December 2014. Its products identify barcode-less items such as fresh produce at self-checkouts and scales, and detect scan avoidance and barcode switching as transactions happen. Edgify reports deployment across 2,042 stores and 9,437 devices, trained on more than 400 million samples at 98.58% precision. The company plans to accelerate rollout across physical retail and extend the platform into transportation, logistics, manufacturing, and other industries. Headquartered in London and founded by Ofri Ben-Porat and Nadav Tal-Israel, Edgify states it has raised $25M to date.

Participated · Series A · Dec 2025

Founded in 2023, Barcelona-based Titan OS supplies an Android-based smart-TV operating system to brands such as Philips and JVC, reaching 18 million users across Europe and Latin America. The software aggregates broadcast TV, subscription streaming apps and more than 100 free ad-supported (FAST) channels, using viewer data to shorten content-discovery time. Titan OS monetises through home-screen and in-stream advertising, placement of partner FAST services and shoppable ad formats, driving a 10× revenue increase over the past two years. TV makers adopt the platform to capture ongoing ad and content revenue that now often surpasses hardware margins. The company employs roughly 200 people in Barcelona, Amsterdam and Taipei. With fresh capital, Titan OS plans to expand local-language FAST offerings, add product and sales staff and secure additional partnerships. Management expects to maintain its rapid growth trajectory and pursue another financing round in 2025.

Participated · Equity · Jun 2025

Sifflet is an AI-native data observability platform that monitors data quality, reliability and health by combining technical telemetry with business context. Founded in 2021 with an official product launch in 2023, the company positions itself as a bridge between engineering and business users to deliver data trust for analytics and AI. Its platform is used by enterprise customers including Penguin Random House, St‑Gobain and Euronext. Over the past year Sifflet reports it tripled both its customer base and its revenue. With new funding, the company plans to expand its North American presence, accelerate AI-native product innovation and roll out data observability agents this fall. Sifflet emphasizes usability and business context in monitoring to help teams act faster on data issues. G2 users have ranked the company Best estimated ROI and Fastest implementation. Sifflet builds a data observability platform that sits above the data stack, offering 360-degree oversight of data assets by collecting information across ingestion, transformation, and consumption layers. The platform automatically monitors data, metadata and pipelines for anomalies and maintains lineage to aid root-cause analysis. AI is central to its approach, powering monitoring engines, data classification, and context enrichment with pre-trained models that retrain in customer environments. Founded in June 2021 by Salma Bakouk alongside Wissem and Wajdi Fathallah, the Paris-based company counts clients including Carrefour, Nextbite and ShopBack. Sifflet currently has 28 employees and aims to more than double headcount by the end of the year while continuing to invest in product and engineering. It plans to ramp up go-to-market efforts in Europe, the Middle East, Asia and the U.S., and has raised €15 million to date.

Participated · Series A · Mar 2025

brain.space builds a Brain-Data-as-a-Service ecosystem aimed at exclusive generative AI mental modeling and the development of large mental models (LMMs). Its core product offering includes the Brain Sensei Headset, a non-invasive, operable device with 115 dry EEG sensors that requires a roughly 3-minute setup and minimal training. The Brain Sensei operates autonomously and can integrate additional physiological sensors such as eye trackers, ECG and GSR to collect high-resolution brain data and assess mental and cognitive states. Led by CEO Yair Levy, the company positions its platform to standardize brain data for integration with machine learning and human intelligence. Financially, brain.space completed a funding package that includes an $11M Series A and a $3.5M non-dilutive grant from the Israel Innovation Authority. The company intends to use the proceeds to further work on standardized brain data and the development of LMMs. brain.space develops a wireless, user-friendly EEG helmet with 460 sensors designed for automated, gel-free setup and higher-density recordings than traditional EEG systems. The company pairs the headset with a comprehensive software end-to-end stack intended to make brain activity easy to integrate into applications. It has been in development for four years and is just emerging from stealth, with no peer-reviewed documentation yet but initial research collaborations underway with Ben Gurion University’s Department of Cognitive and Brain Science and a medical center in Israel. Target use cases the company is exploring include tracking learning disabilities, markers of cognitive decline such as Alzheimer’s, athletic performance, and telehealth monitoring. Brain.space is also demonstrating the device in space as part of the Axiom-1 mission to collect longitudinal neural data aboard the ISS. The company says headset pricing will vary by application and likely sit between consumer bargain systems and research-grade rigs, though it declined to provide exact figures.

Participated · Equity · Jul 2024

K Health offers a clinical‑grade AI ‘co‑pilot’ for primary care that conducts personalized patient chats, grounds assessments in EMRs, and generates provider-ready medical charts to streamline diagnosis and treatment. The platform integrates virtual care with health‑system brick‑and‑mortar assets to provide longitudinal care and navigation to diagnostics and specialty services. K says the model has helped partners increase primary care access by 15% and is available to millions of people in the U.S. through health systems, insurers, and a direct‑to‑consumer mobile app. The company operates a 24/7 virtual primary care service that assigns providers and emphasizes higher‑quality, lower‑cost care compared with traditional models. K Health has been developing its AI technology for over seven years and employs proprietary datasets to personalize care. The company recently raised equity capital, underscoring continued investor support as it scales. K Health is a digital primary care platform that consolidates the knowledge of thousands of doctors and billions of clinical data insights to offer symptom guidance, treatment options, and remote visits. The company offers free AI-powered symptom checking built from millions of users and thousands of pediatricians, plus paid chat visits with doctors for less than a copay. It recently launched K for Parents, a virtual pediatrics product for ages 3–17 that combines a free symptom checker with pediatric televisits (adult membership $9/month for unlimited care; one-time visits $19). K Health says K Primary Care is available in 49 states and the app is available in all 50 states, covering 300 million people; the app is frequently the #1 downloaded in the App Store medical category. The company has partnerships and collaborations including the Mayo Clinic Platform, Maccabi Healthcare Services, and an offering to Anthem’s 43 million members. K Health closed a $132M Series E to support continued expansion of its product and care offerings. K Health offers an AI-powered telemedicine app that ingests medical histories, clinical outcomes and the experience of more than 10,000 doctors to provide symptom triage and treatment information. Its backend compares user profiles to a corpus of over 400 million clinical notes and a 20-year database of millions of electronic health records sourced from Maccabi and health systems in the U.S. and Mexico. The app facilitates in‑app visits, prescription delivery, and mental-health services with tiered pricing (e.g., $9/month, $19 one-time, $29 three-month unlimited; $34/month for medication delivery). K Health says it has more than 4 million members, is adding 10,000–15,000 users per day, has grown 1,000% this year, and saw over one million new users since the pandemic began. The company has partnerships with insurers like Anthem (including a cobranded CareSpree product) and institutions such as Louisiana State University. It announced a collaboration with the Mayo Clinic to integrate the Clinic Data Analytics Platform and plans to use recent funding to grow its telemedicine offering. K Health provides an app that asks users about symptoms and, accounting for age, gender and medical history, shows how similar patients were diagnosed and treated. The platform ingests medical histories, clinical outcomes and the collective experience of more than 10,000 doctors to deliver treatment information across hundreds of diseases. Users can chat with a doctor on call for diagnosis, advice, prescriptions and lab test orders. K Health uses anonymized data to improve its service and states it will never sell, rent or share personal health information; it also complies with HIPAA and GDPR. Led by co-founder Allon Bloch, the company operates its service from New York City and Tel Aviv. The company plans to grow its telemedicine offering and translate the platform into Spanish. K Health provides an AI-driven triage and symptom-checker platform that uses licensed data and a chatbot interview to derive likely conditions and recommend routes to care. The company’s app also lets users connect with board-certified doctors via text chat, who can discuss treatment options and prescribe medications or lab tests if needed. K Health launched its U.S. consumer app last year and has grown to more than 1.3 million users, adding roughly 15,000 new users per day. The startup charges $49 annually for unlimited chat with a doctor in its standard app, while Anthem members will receive symptom-checker services for free under the co-branded agreement. K Health employs about 50 clinicians through an associated physicians group and currently offers services in 14 states between 11 a.m. and 11 p.m. The company plans to expand into pediatrics by the end of the year and eventually into areas like orthopedics and chronic disease management, and expects to pursue similar insurer partnerships and broader distribution, including to non-members.