Participated · Seed · Jun 2026

Cantilever offers a curated music streaming service designed to present and help users discover music. The company is based in the United Kingdom and positions itself as a platform supported by the independent music sector. In June 2026 it completed a £250k pre-seed raise funded by 20 independent record labels and individuals affiliated with those labels. This financing is the first public fundraising disclosed by the startup since its founding. The company has not provided metrics such as users or revenue, nor detailed product launch timelines. Cantilever said it will share further updates on its development as they become available.

Participated · Series A · Mar 2026

Antiverse combines proprietary generative machine-learning models with programmable cell-line engineering to rapidly create epitope-specific, therapeutic-grade antibodies against difficult targets such as GPCRs and ion channels. Its lab-in-the-loop workflow reportedly reduces de novo antibody development timelines to under four months, integrating in-silico design with in-house build and validation. The company supports partnered discovery programs with several top-20 pharmaceutical firms and has just launched a research collaboration with the Cystic Fibrosis Foundation to generate antibodies targeting the extracellular region of CFTR. Backed by more than $20 million in total funding, Antiverse is expanding its platform, accelerating its internal pipeline, and intends to move its first wholly owned candidates into later-stage preclinical development by 2027. Headquartered in Cardiff, UK, with offices in Boston and Prague, the team has spent seven years training its models on challenging targets to optimize physicochemical properties and humanness of antibodies. Antiverse offers flexible collaboration structures to biotechnology, pharmaceutical, and foundation partners while simultaneously advancing its own therapeutics.

Led · Seed · Feb 2026

Validfor develops an agentic digital validation platform purpose-built for life-sciences compliance teams. Using AI, the software automates validation workflows, structures regulatory documentation, and oversees the entire GxP compliance process, reducing manual effort and audit risk. Headquartered in Tallinn, Estonia, the company targets pharmaceutical, biotech, and medtech enterprises that must meet stringent regulatory standards. With its new capital, Validfor plans to accelerate product development, add autonomous testing features, and scale its engineering team. The firm aims to broaden the platform’s AI capabilities to serve global customers and modernize compliance across life sciences. Financially, the business is pre-revenue at the pre-seed stage and has secured $1.2 million in external funding to date.

Participated · Seed · Nov 2025

Helio AI has built an intelligent recruiting agent that chats, thinks, and acts in local languages while administering game-based psychometric tests to rank candidates instantly. The platform automates up to 70 % of recruiter tasks, cutting workload and speeding up decision-making for employers facing large applicant volumes. Hundreds of international brands across seven countries already rely on the software, demonstrating strong traction in emerging markets. Founded by a Georgian team now based in the United States, Helio AI targets systemic inefficiencies in HR by bringing advanced AI to a traditionally underserved function. The company’s core differentiator is its ability to combine conversational AI with scientifically validated assessments, delivering faster and fairer hiring outcomes. Recent funding will allow the startup to scale its AI Recruiting Agent globally and expand product capabilities, broadening its impact across fast-growing markets.

Participated · Seed · Oct 2025

Polygraf AI is an Austin-based company developing an enterprise AI security platform powered by proprietary small language models. Its locally deployed modules require as little as 8 GB of RAM and a 1.3 GHz CPU, enabling organizations to identify deepfake attempts, uncover insider risks, and maintain the integrity of sensitive intelligence. The system is designed for mission-critical environments in defense, financial services, insurance, and healthcare, sectors where the company reports rapid adoption over the past year. By operating on modest hardware, Polygraf AI aims to make advanced AI threat detection accessible without expensive cloud or GPU resources. The company plans to expand its product suite and enhance R&D to address broader enterprise, defense, and intelligence use cases. Newly raised capital will also support go-to-market initiatives to deepen penetration in these target verticals. No revenue or user figures were disclosed in the article.