Thirty Five Ventures
112 Seventh Ave., New York, NY, 10024, United States
Overview
Thirty Five Ventures is a startup founded by basketball star Kevin Durant that invests in tech companies.
- Total investments
- 42
- Lead investments
- 2
- Investments · 12mo
- 2
- Active investors
- 2
Sector focus
- Finance
Investment portfolio
- PlayerData
Participated · Series A · May 2026
PlayerData began with a lower-cost GPS wearable aimed at expanding access to performance tracking and has expanded into a broader data-capture ecosystem combining wearables, GPS-embedded balls, and AI-paired video. The company plans a full commercial launch this summer for a GPS-based soccer ball developed with Puma and Mitre and is testing connected balls from Nike. A portable 8K, 190-degree camera that syncs with player and ball sensors and uses AI to automate video clipping is slated to follow. PlayerData’s wearable is in use across US Soccer, several MLS clubs, and multiple MLB teams (including the Red Sox, Rays, and Astros), and officials will wear the device at every FIFA men’s World Cup match this summer; the company holds Preferred Provider status through FIFA’s Quality Programme. The business recently raised $12M in a Series A to scale products and expand the team, has grown headcount ~40% over 18 months, and moved its U.S. headquarters to Boston.
- Rec
Participated · Series A · Sep 2025
Rec delivers an operating system purpose-built for community recreation departments, combining discovery, booking, and payments in one platform for residents. The software automates administrative tasks so departments can save time, increase revenue, and broaden their reach. More than 50 communities already use Rec, demonstrating early traction for the product. The company plans to expand to major recreation networks across the United States and deepen its investment in AI-powered features that personalize activity discovery and improve back-office efficiency. To support this roadmap, Rec is actively hiring across engineering, product, sales, and marketing. Although specific revenue or user figures were not disclosed, the recent capital raise positions the company to accelerate growth and product development.
- Daze
Participated · Equity · Oct 2024
Daze is a freestyle messaging app that lets users craft multi-colored, social-media-style chats with photos, graphics, stickers, GIFs, drawings and decorated backgrounds. The product is already using AI to power some creative tools and the team plans to integrate deeper AI-based technology in the future. Built in React Native to launch simultaneously on iOS and Android, Daze aims to be feature‑complete and competitive with iMessage and WhatsApp while offering more creative expression. The app is prelaunch but has strong engagement signals: roughly 156,000 waitlist signups, about 48 million combined views across TikTok and Instagram (its top TikTok video has 8 million views), and ~1,400 invite-only beta users. A source familiar with tests said 60-day retention for people who have sent a message is over 50%. The small team (seven full-time, one part-time) is largely based in New York.
- Plenty
Participated · Seed · May 2024
Plenty provides a collaborative financial platform for modern couples to merge money, set shared and private goals, and track cashflow, spending, saving, and investing. The product includes flexible account labeling to show “what's ours” versus “what's mine,” goals‑based planning with personalized portfolios, and shared or private funding options. Its investment offering is a next‑generation robo‑advisor with direct indexing, advanced tax‑loss harvesting, and values‑based customization. The company is led by CEO Emily Luk, CPA, CFA, alongside Channing Allen. Plenty plans to use the new funding to expand operations and continue product development. The company raised $5M in the disclosed round. Plenty is a goals-based wealth-building platform that lets users join as individuals or couples, connect financial accounts, choose which accounts to share with a partner, and plan for joint milestones. It operates as an SEC-registered investment adviser and offers automated forecasting, an AI-powered direct indexing strategy (historically requiring a $500,000 minimum), and a cash-management portfolio backed by money-market funds currently offering a 4.83% APY. The product requires a $100 initial deposit and charges an annual membership fee of $150 for individuals or $200 per couple, with each person receiving their own Plenty account. Co-founders Emily Luk and Channing Allen, who conceived Plenty while at Even, have been using the product since January; the company says it is already generating revenue and has a growing waitlist for early access. Much of the new capital will be used for hiring and product development, and upcoming offerings include treasury bills and other savings products. Plenty positions itself toward median households earning over $90,000 to low $100,000s annually and aims to help 1 million households add $1 million to their retirement.
- Arcee.ai
Participated · Seed · Jan 2024
Arcee AI specializes in small language models (SLMs) and provides tools for customers to train models as well as pre-trained models for domain-specific question-answering use cases. Its core technologies include Model Merging, which fuses multiple models into a single efficient model, and Spectrum, a targeted training technique that reduces training time and catastrophic forgetting. The company offers two delivery methods: Arcee Cloud (a hosted SaaS) and Arcee Enterprise (in‑VPC deployments favored by larger customers). Arcee positions SLMs as cost- and energy-efficient alternatives to very large models and says it can train GPT-3–like models for as little as $20,000. Pricing is sold as annual software-license contracts with inference charges, rather than purely usage-based pricing. Financially, Arcee reports $2 million in revenue, has 25 employees, plans to grow to about 50 within 18 months, and says there is a good chance it could turn profitable by early 2025. Arcee provides an end-to-end platform for building, fine-tuning, deploying and monitoring generative AI models inside a virtual private cloud to address enterprise security and ownership concerns. The product was developed by former Hugging Face and Roboflow engineers to let organizations train specialized language models on their own data within a secure compute environment. The company emphasizes adaptive training, superior fine-tuning and monitoring to mitigate privacy risks for highly regulated industries such as legal, healthcare, insurance and financial services. Arcee launched last February and is maintained by a Miami-based startup led by founders Mark McQuade, Brian Benedict and Jacob Salowetz. The startup has positioned itself against other tooling providers and large incumbents while highlighting demand from enterprises worried about transparency and security. Management says the capital raised so far will be used to expand the workforce, build out the platform and grow into new markets.