• Syntetica

  Participated · Series A · Jul 2026

  Syntetica has developed a novel approach to recycling two hard-to-separate nylons—Nylon 6 and Nylon 6,6—into pellets that can be used by manufacturers to make yarn. The company was co-founded by CEO Marco Bertone and chemistry researcher Louis Monsigny and has built early industrial partnerships, including with Michelin’s Centre for Sustainable Materials and apparel makers such as Lululemon, Victoria’s Secret and Etam. Syntetica does not produce finished textiles itself; instead it supplies recycled pellets to downstream manufacturers like MAS Holdings. The startup has received public backing from Bpifrance’s Ecotechnologies 2 fund and support from the European Innovation Council alongside private investors including EQT Ventures and SWEN Capital Partners. With its Series A funding, Syntetica aims to demonstrate production at the scale of hundreds of tons per year and then expand by building facilities near waste sources and textile production hubs. The team has added technical leadership and industry advisors to support scaling and commercialization.

• Rocapine

  Participated · Series A · Jun 2026

  Rocapine develops a portfolio of wellness apps that aim to support healthier daily habits by prioritising wellbeing rather than maximizing engagement. Founded in late 2024 by Stanislas Marchand (CEO), Jean-Gabriel Boinot-Tramoni and Sammy Teillet, the company has launched apps across women's health, addiction therapy and nutrition, including Harmony, That Girl and Unchaind. The studio describes its products as designed to "hold instead of hook" and uses AI-driven tools and a testing engine to iterate on app ideas. Rocapine plans to scale its testing engine to 400 apps this year and invest in AI, data and marketing infrastructure to grow category leaders. Its recent $13M Series A provides the capital to execute on these expansion plans.

• SAVA

  Participated · Series A · Jul 2025

  Sava Technologies builds a proprietary multi-molecule biosensor powering a pain-free wearable that delivers real-time molecular insights to a smartphone. The device has demonstrated accurate glucose readings for up to 10 days in early clinical data from a 50-patient study (first 25 participants). Sava aims to address key CGM barriers—pain, cost and accessibility—and to expand beyond glucose to multi-analyte sensing for preventative and personalised healthcare. The company plans a pivotal study next year and is working toward regulatory approval and commercialisation while scaling automated manufacturing to meet launch volumes. Founded in 2019 and based in London, Sava is also pursuing interest from athletes and health-conscious consumers as it targets the global wearables market. Sava is a London, UK-based consumer and medical device company developing a wearable biosensor platform that can detect molecules just under the skin. Its novel microsensor technology monitors biomarkers in real time, starting with glucose. The company recently gained MHRA approval to proceed with clinical trials in patients with diabetes. An upcoming clinical study is scheduled to start with investigators from the Universities of Oxford and Cambridge. Sava plans to use the $8M Seed to expand its team, design its product line with manufacturing capability, and demonstrate the platform’s clinical performance. The company was founded by Renato Circi and Rafael Michali.

• Gladia

  Participated · Series A · Oct 2024

  Gladia offers a hosted speech-to-text API that transcribes audio into text with built-in diarization, support for 100 languages and a focus on low latency. The company initially fine-tuned OpenAI’s Whisper model and competes with specialists like AssemblyAI, Deepgram and Speechmatics. Its API is compatible with common telephony stacks and protocols including SIP, VoIP, FreeSwitch and Asterisk. Gladia claims live transcription latency under 300 milliseconds and aims for “batch quality with real-time capabilities.” Over 600 companies use its service, including meeting recorders and note-taking tools such as Attention, Circleback, Method Financial, Recall, Sana and Veed.io. With the new funding it plans to simplify pipelines by integrating audio intelligence and LLM-based tasks in a single API call so customers can get summaries and other outputs without calling third-party LLM APIs.

• Gladia

  Participated · Series A · Oct 2024

  Gladia builds AI transcription and audio-intelligence tools, offering an API with advanced speech recognition in over 100 languages and both asynchronous and real-time transcription. Its real-time speech-to-text engine advertises industry-leading latency under 300 milliseconds without compromising accuracy across languages, geographies, or tech stacks. The company serves over 70,000 users and 600 enterprise customers, including Attention, Ausha, Circleback, Method Financial, Recall, Sana, and VEED.IO. Gladia plans to use the new funding to advance R&D and bring a one-stop AI toolkit for audio to market while expanding its product offering with additional à la carte models, including large language models and retrieval-augmented generation. Founded in 2022 and based in Paris, France, Gladia has raised a total of $20.3M to date following earlier seed investments. Earlier seed backers include New Wave, Sequoia Capital (as part of the First Sequoia Arc program), Cocoa, and GFC. Gladia builds an audio transcription API that converts audio into text in near real time, using OpenAI’s Whisper as a foundation. The company has optimized Whisper for speed and reliability and added pre- and post-processing to reduce hallucinations and improve language detection, speaker diarization, timestamps, punctuation, and casing. Gladia charges about $0.61 to transcribe an hour of audio and says the process takes roughly 60 seconds per hour; outputs are available in JSON as well as SRT and VTT subtitle formats. Customers include call centers, virtual meeting services and video publishers such as Claap, Livestorm and Selectra. The co-founders are Jean-Louis Quéguiner (CEO) and Jonathan Soto. Gladia raised a $4 million seed round led by New Wave with participation from Sequoia, Cocoa and several business angels. The company plans to build higher-level audio intelligence features — translation and multi-language subtitles, summarization, topic categorization, automatic chapters and sentiment analysis — moving beyond transcription into augmented audio data.

No current team members are available.