• Fullwhere

  Participated · Equity · Jun 2024

  Fullwhere developed a SaaS platform to centralize and analyze all forms of customer communication—reviews, emails, contact forms, social comments and satisfaction surveys—on a single interface. The product uses AI to classify interactions as engaging or non‑engaging; the AI replies directly to engaging interactions and suggests personalized responses for non‑engaging ones, respecting company preferences (formality, tone, salutations). Its platform has been adopted by customers including McDonald's, Paris Society and magasins U. Founded in early 2022, the company currently has about ten employees and plans to grow to around twenty by year‑end. Fullwhere intends to strengthen its tech teams and invest in the product to win new clients, targeting retail, health and restaurant sectors. The company announced a €1.3 million fundraise to support those plans.

• Aloen

  Participated · Equity · Apr 2024

  Aloen offers a software assistant for customer relations that provides real-time, personalized response suggestions and coaching to telemarketers during calls, using active listening and response-generation technologies. The tool collects and returns qualified data to continuously improve scripts and to better pilot teleprospecting campaigns, and it evaluates the quality and compliance of all calls rather than relying on sampled reviews. Aloen delivers personalized replies in under 0.4 seconds and creates customizable scorecards for each use case and campaign. The solution is already operational in multiple call centers in France, Morocco and the United States, and centers using Aloen report a 12% incremental conversion rate. The company was founded in 2023, employs seven people, and plans to use funds to accelerate international sales, recruit talent and further improve quality monitoring, targeting 6,000 users by the end of the year.

• Nabla

  Participated · Series B · Jan 2024

  Nabla offers an agentic clinical AI assistant that combines ambient listening, dictation, coding, and EHR command capabilities into a single platform integrated with major EHRs. The product is built on a domain-specific large language model refined with clinically grounded data and a robust evaluation framework. Nabla supports more than 85,000 clinicians across 130+ healthcare organizations, processes over 30 billion tokens monthly, and handles about 20 million annual encounters. The company reports revenue multiplied by five over the past six months and delivers measurable ROI via reduced documentation time, lower clinician burnout, and higher patient satisfaction. Its assistant is available in 35 languages and is deployed across ambulatory, behavioral health, pediatric, emergency, and early inpatient and nursing workflows. Future plans include an Adaptive Agentic Platform with a Proactive Coding Agent, Context-Aware Agent for EHR actions and orders, and Custom Care Setting Agents tailored for nurses and other frontline roles. Nabla is a Paris-based startup building an AI copilot that listens to consultations and automatically generates medical reports and clinical notes. It uses speech-to-text (Microsoft Azure plus a fine-tuned Whisper-based model), pseudonymizes transcripts, processes them with large language models (historically GPT-3 and GPT-4 and experiments with fine-tuned Llama 2), and then de-pseudonymizes output so doctors can review and export notes to EHRs. Physicians can edit reports before they are filed and customize formats (including SOAP notes). Nabla emphasizes data processing over storage, discarding audio and not storing notes without doctor and patient consent. The company has a large-scale partnership with Permanente Medical Group and says most customers are in the U.S.; thousands of doctors use the product daily and it is on track to process more than 3 million consultations per year in three languages. Financially, Nabla just raised a new funding round and reached a reported valuation of $180 million after the latest financing. Nabla offers a women’s-health focused app that lets users message general practitioners, gynecologists, midwives, nurses, nutritionists and physiotherapists and view a personal log of past interactions. The app centralizes medical data and can connect with Apple Health, Clue and Withings. Nabla currently provides a free tier with a limited number of monthly text questions, alongside curated community content reviewed by its doctors. The company emphasizes machine learning for preventive and personalized care, with data sharing opt-in for users. Founders include Alexandre Lebrun, Delphine Groll and Martin Raison, who have prior exits and experience at companies like Wit.ai and Facebook; Nabla is working with a team of doctors to serve early users. The startup plans to launch telemedicine appointments and a premium offering in future releases.

• Jimini AI

  Participated · Seed · Nov 2023

  Jimini AI builds an AI co-pilot for legal professionals that lets users interact in natural language to ask legal questions, work with legal documents, and draft contracts based on firm or company precedents. Its interface is designed to improve the efficiency of legal research, the productivity of analyses, and the harmonisation of expertise within law firms. The company cites use cases including contract management, court preparation, timeline management, and navigating consumer law. Launched in 2023 within Entrepreneur First (its first investor), Jimini is rolling out a closed beta with several leading European pilot firms and has dozens of law firms and companies on the waiting list. Jimini completed a €1.9M Seed round to accelerate growth. The funds will support R&D development and a large-scale rollout of the solution across France and Europe.

• ElectroTempo

  Participated · Seed · Aug 2023

  ElectroTempo is an Arlington, Va.-based SaaS startup that provides demand forecast data and analytics to inform and de-risk electric vehicle charging infrastructure and grid investments. The company uses machine learning tools to identify and map the location and size of light, medium, and heavy-duty fleet locations to project where charging demand will concentrate. Its forecasts feed models of charger utilization and financial returns, helping utilities anticipate charging requirements and helping property and fleet owners size chargers and assess ROI. ElectroTempo's fleet and infrastructure optimization tools target slow, costly deployment processes and aim to accelerate network deployment across fleets, site portfolios, and utility territories. The company plans to scale national and international operations on both the technical side and customer support with investor backing. The article does not disclose revenue or other operating metrics. ElectroTempo builds software that forecasts EV charging demand and recommends cost-effective equipment and infrastructure investments for industrial site hosts and trucking fleets. Its platform optimizes charger location, energy use, and asset utilization to improve returns on investment. The company sells to industrial site hosts and logistics customers that use the software to deploy and operate charging networks. ElectroTempo plans to expand geographic coverage across the U.S. and round out product features to better serve industrial site hosts and accelerate truck electrification. Since a pre-seed round in January 2022, the company has grown from one customer to nine and increased its annual recurring revenue by over 150%. The team emphasizes domain expertise across transportation, electrification, and logistics as a complement to its software offering.

No current team members are available.