Participated · Series B · Jun 2025

Definely offers an AI-driven productivity suite to streamline legal drafting and review, with features such as Draft (navigate definitions and clauses without losing place), Vault (insert clauses with one click), Proof (check inconsistencies and broken cross-references) and a PDF extractor for scanned documents. The company launched an agentic AI system called Enhance, which includes AI agents that work with Microsoft Word to collaborate on drafting, reviewing, and proofreading tasks. Founded in 2017 and based in the U.K., Definely reported that the U.S. now accounts for 30% of its revenue. The company raised a $30M Series B and had previously raised a $7M Series A last May. Management says the new capital will be used to expand further into the U.S., invest more in AI, and hire additional employees. The founders launched the product to solve practical contract-navigation problems experienced in law firms, and are positioning the business for global growth. Definely provides a subscription-based suite of productivity solutions designed to assist lawyers at the pre-execution stage of the contract lifecycle. The company is led by CEO and Co-Founder Nnamdi Emelifeonwu. It works with a roster of UK and international customers, including elite law firms and Fortune 500 companies such as A&O Shearman, Slaughter and May, Womble Bond Dickinson, Dentons, Eversheds Sutherland, DLA Piper, Deloitte and Barclays. Definely intends to advance development of AI-driven solutions for the legal industry. To support that work it has secured a £585,000 grant from Innovate UK. The grant follows a strategic investment from Raine Ventures and a Series A funding round in May. Definely provides productivity solutions that assist lawyers at every pre-execution stage of the contract lifecycle, helping customers draft, proof and understand legal documents quickly. The company is led by CEO Nnamdi Emelifeonwu and CSO Feargus MacDaeid and has over 60 employees globally. Definely serves large companies and law firms across Europe, North America, Africa, Australia and Asia. Its customers include Allen & Overy (now A&O Shearman), Eversheds, DLA Piper, Deloitte, Ericsson and Barclays. The company reports an existing base of about 40,000 active users from the largest companies and law firms in the UK, US, Canada and Australia. Following its Series A, Definely intends to use the funds to expand operations and development efforts. Founded in 2017 by Nnamdi Emelifeonwu and Feargus Macdaeid, Definely offers a one-click drafting and contract-review tool that integrates as a toolbar in MS Word so users do not need to switch programmes. The product is described as intuitive and user-friendly, requiring limited training or technical support. The startup reports a 500% year-over-year growth rate in its user base and counts customers including Deloitte, Allen & Overy and Dentons. Definely says it will use the new funding to accelerate product development, expand its team, and drive expansion into markets beyond the UK. The company has previously been selected by Google for Startups as one of 30 companies to receive its inaugural £2 million European Black Founders Fund.

Participated · Series A · Jul 2022

Zinklar offers an insights automation platform that delivers consumer needs and preference data to support product development, segmentation, advertising and brand strategy. Its interface taps into 140 million consumers across more than 80 markets and is available in over 80 countries. More than 300 leading businesses across packaged goods, health, banking, telecoms and other verticals have used Zinklar, including Reckitt, Google, Hershey’s, Panasonic, CaixaBank, The Body Shop, Bayer, Disney and AT&T. The company was founded by Jordi Ferrer (ex-Global Strategy and M&A Director at Kantar) and Borja Ormaechea (ex-Groupe SEB Marketing Director). Zinklar recently raised €5.5M ($5.7M) in Series A financing to support growth. The funds will be used to double the team before year-end, hire new talent, launch additional research solutions and strengthen the platform’s analytical capabilities as it expands further globally, particularly in the US, Europe and Latin America. Zinklar (formerly Snappy) is a market-research startup founded in 2015 by Borja Ormaechea and Jordi Ferrer. Its business model is based on prepaid credit that clients spend to purchase market studies (average price ~€1,500). Clients include large companies such as Danone, Reckitt Benckiser, Uber, Orange, Puig, BBVA and KFC. Reports cover topics from TV campaign analysis to brand vitality studies. Zinklar operates in Spain, Mexico and the UK and also serves markets including France, Germany, Italy, the United States, Canada and Brazil. The company has offices in Barcelona, Madrid, Mexico City and London and employs 35 people. Zinklar offers a subscription SaaS platform for market research, where clients prepay funds to purchase individual studies (average price ~€1,500). The company was founded in 2015 by Borja Ormaechea and Jordi Ferrer and serves large customers including Danone, Reckitt Benckiser, Uber, Orange, Puig, BBVA and KFC. It operates in Spain, Mexico and the UK and also runs projects in France, Germany, Italy, the United States, Canada and Brazil, with offices in Barcelona, Madrid, Mexico City and London. At the time of the report it had 35 employees and planned to hire 15 more. The business model is centered on fast, report‑based studies covering topics from ad campaign analysis to brand health. The company raised new capital to accelerate international expansion, strengthen commercial strategy and improve its service.

Led · Series A · Oct 2021

Launched in 2017 and led by CEO Maya Pindeus, Humanising Autonomy develops ethical computer-vision software that understands, predicts, and interprets human behaviour. Its Behaviour AI connects to existing camera platforms or video streams to provide context between people and machines and delivers actionable data and insights. The technology is positioned for deployment across mobility and smart spaces sectors, and the company plans expansion into new verticals. A recent debt financing from Silicon Valley Bank UK is intended to support continued deployment and growth. The financing amount was not disclosed; it follows an $11m Series A in October 2021. Humanising Autonomy aims to help businesses make operational decisions, reduce risk, and enhance human experiences. Humanising Autonomy provides a Behaviour AI platform that uses modular, low-power computer vision to ethically understand and predict human behaviour for real-time and historical analysis. The GDPR-compliant technology is used to inform business decision-making and integrates with chip manufacturers such as Ambarella. The company launched new cloud-based products in 2020 and intends to accelerate cloud deployment into additional industries and geographic markets. It plans to scale use of its platform to inform business processes and to expand its offerings in advertising effectiveness, smartphone applications, construction and warehouse safety in 2022. Humanising Autonomy also intends to expand existing automotive and dashcam capabilities that can alert drivers and inform fleet management. The company will expand its diverse team across Europe, Asia and North America as it grows. Humanising Autonomy builds modular machine-learning models that predict pedestrian behaviours from RGB camera footage to help vehicles and autonomous machines read and respond to human intentions. The company trains models on diverse data sources — CCTV, dash cams and autonomous-vehicle sensors — and specifically analyzes accident footage to improve robustness across cities, camera types and conditions. Its models use only RGB data (forgoing lidar depth) and are modular so components can be tuned for different environments and processing constraints, enabling deployments from high-power Level 4/5 stacks to lower-power aftermarket retrofits. HA is working with mobility providers in Europe, the U.S. and Japan and has case studies and partnerships with Daimler Mercedes Benz and Airbus. It sees adjacent opportunities in warehouses and manufacturing where partial retraining of modules can adapt the system to worker-monitoring use cases. The company says its system outperforms humans on the task and aims to be licensed into sensing stacks rather than having manufacturers build bespoke solutions. The recent seed financing is intended to accelerate commercialization and integration into tier-1 stacks.

Participated · Series B · Sep 2021

Lifebit builds enterprise data platforms to enable organisations with complex and sensitive biomedical datasets to access and analyse data securely. Its patented technology keeps highly sensitive data in-place by bringing researchers' analysis and computation to where data resides rather than moving data around. An accompanying suite of AI-powered end-to-end software solutions provides faster data insights, accelerates drug discovery pipelines, and aims to improve clinical-trial success. Lifebit serves public- and private-sector clients, including contracts to power Genomics England and a long-term AI partnership with Boehringer Ingelheim. The company raised $60 million in a Series B led by Tiger Global, with existing investors Eurazeo, Pentech Ventures, and Beacon Capital participating. Management says the new capital will be used to expand global presence, focus on customer success, and accelerate team growth. Lifebit is building the world’s first genomics cognitive platform that understands DNA data, learns from it and generates meaningful insights. The company launched a closed beta of its genomics platform in June 2018 and aims to fully automate and simplify the process of going from raw DNA data to insights. Lifebit's platform is described as highly scalable, modular and reproducible, targeting researchers, R&D professionals and pharmaceutical organisations. The company emphasizes bringing advanced machine learning to allow a much bigger audience beyond expert bioinformaticians to derive value from 'omics' data. Lifebit announced £2.25 million in UK funding led by Pentech and Connect Ventures, with participation from existing investor Techstars. It is actively recruiting in bioinformatics and machine learning as it develops and scales the product in London.

Participated · Series B · Sep 2021

Lifebit builds enterprise data platforms that use patented federated technology to securely unlock access to biomedical data. Its platform supports use cases from Trusted Research Environments for national precision medicine programs to enabling pharmaceutical companies to discover new drug targets faster. The company positions itself as a precision medicine software leader for organizations with complex and sensitive datasets. In September 2021 Lifebit closed a $60 million Series B to support its next phase of growth. Proceeds will be used to further global expansion, accelerate hiring, and focus on customer success. The round was led by Tiger Global Management with participation from existing investors Eurazeo, Pentech Ventures, and Beacon Capital. Lifebit Biotech builds Lifebit CloudOS, a bioinformatics platform that enables researchers to visualise and analyse massive amounts of genomic and clinical data. The software offers integrations with open-source tools, a marketplace of proprietary tools, a data and cohort browser, and advanced AI functionality. Lifebit positions its platform to make hard-to-access biobank data — such as the UK Biobank — usable for enterprise clients that include pharmaceutical companies and research institutes. The company says it aims to democratise genomic data to accelerate drug discovery and personalised medicine as sequencing volumes surge. Lifebit was founded three years ago and now has employees, partners and customers across 15 countries. The business is led by CEO Dr. Maria Chatzou Dunford and plans to commercialise its product internationally.