Led · Seed · Aug 2026

Twin1 develops digital twins tailored for lawyers and has just come out of stealth. The company is led by CEO Lewis Z. Liu, previously CEO of Eigen, and co-founded with former Eigen colleagues Tom Cahn and Huiting Liu. Twin1 announced a $20 million Seed round co-led by Bessemer Venture Partners to fund its initial scaling after launch. The articles note the broader context of multiple legal AI companies moving into related areas such as context development, personalization, and knowledge sharing. No operating metrics, valuation, location, or detailed product roadmap were disclosed in the pieces.

Participated · Series B · Aug 2026

Flagler Health builds an AI-native platform that integrates directly into provider EMRs and orchestrates the full musculoskeletal patient lifecycle across triage, care management, billing, and patient communications. The platform is trained on one of the largest MSK patient data sets and is designed to run seamlessly in the background with no new logins or workflow changes for clinicians. In under three years, Flagler has scaled to thousands of providers across more than 36 states and reports metrics including an average $164,000 in additional annual revenue per provider and 87% of patients reporting improvement in pain, mood, sleep, or mobility. The product has been deployed across diverse MSK practice types and EMR environments and was developed by a founding team of physicians and healthcare operators. Headquartered in New York City, Flagler positions itself as the AI-native backbone for musculoskeletal clinics and aims to expand to every MSK practice in America.

Participated · Series D · Jul 2026

Fora operates a two-part platform that lets individuals become travel agents by providing infrastructure for client communication and trip planning, and allows travelers to find and communicate with advisors for occasions like honeymoons and family trips. Since launching, agents on Fora’s platform have booked more than $3 billion in travel, and the majority of its agent users are new to travel advising. The company offers an AI assistant called Via to handle administrative tasks such as research and itinerary building, aiming to increase agent productivity. Fora raised a $60 million Series D at a $1 billion valuation and has raised $138.5 million in total funding. It plans to use the new capital to expand Via, hire more staff, and grow into additional travel categories including cruises and flights. Founded in 2021, Fora continues to develop its marketplace and agent support tools.

Led · Series B · Jul 2026

Vendelux builds an event intelligence layer that maps and tracks more than 250,000 global B2B events to help sales and marketing teams evaluate historical attendee density, identify active buyer cohorts, and automate qualified in-person meeting bookings. The platform serves prominent enterprise customers including Ramp, Glean, Coupa, McKesson, Writer, Deel, Intel, and the United States Postal Service. The company is led by co-founders Alex Reynolds and Stefan Fletcher and is headquartered in New York City. As of the July 2026 Series B, Vendelux has raised $71M in total funding. Planned uses of the new capital include deepening its AI infrastructure, accelerating product development, and expanding its global corporate sales engineering teams. The company emphasized bridging marketers with event organizers as a product focus going forward.

Participated · Series C · Jun 2026

Bland builds in-house voice AI models optimized for long, non-linear, high-stakes conversations and deploys them as production-grade agents across phone, SMS, and chat. Its models are designed to handle long interactions—typical calls last 30 to 45 minutes—and to track context, adapt in real time, and carry interactions to resolution. Bland serves regulated industries including healthcare and financial services and handled more than 3.5 million calls per week, 175 million AI phone calls in the prior year, and counts 250+ enterprise customers and hundreds of thousands of self-service users. The company emphasizes building models purpose-built for voice to address latency, interruption, ambiguity, and continuity as core system requirements. Following the Series C, Bland plans to expand research, grow its engineering team, and continue scaling its platform across industries where conversations are central to operations.