A major milestone from Cephable and Microsoft, and a powerful signal of where enterprise AI is headed. Cephable just unveiled its vision for secure, on-device intelligent productivity, enabling AI assistants that don’t just generate insights - they take action across systems with enterprise-grade governance. What impresses me most as an investor is how directly this roadmap addresses the biggest blockers to AI adoption in the enterprise: 🔒 Data control & trust: On-device execution with Windows’ Foundry Local keeps sensitive data local while still enabling high-performance models like Phi and Qwen. ⚡ Real-time performance: Ultra-low latency unlocks entirely new UX possibilities and eliminates reliance on unpredictable cloud inference. 💰 Meaningful ROI: Reduced cloud spend + action-taking assistants = real efficiency gains. Early deployments are already showing compelling time savings and operational impact. 🧩 Actionable AI infrastructure: With the Model Context Protocol (MCP), Cephable is enabling agents that execute workflows securely - the missing link in most enterprise AI stacks. This is the type of foundational shift we look for as investors: technology that is both technically superior and aligned with enterprise realities around security, cost, and governance. Huge congratulations to Alexander Dunn and the Cephable team building the future of AI-native work, one layer of infrastructure at a time. Read more about it: https://lnkd.in/evZHWyu4
Hyperplane
Venture Capital and Private Equity Principals
Boston, Massachusetts 2,800 followers
About us
We partner with exceptional founders who are leveraging machine intelligence, sensor technology, and cloud computing to solve the world’s hardest problems -- uncovering the underlying structure for each problem and creating solutions at the nexus of perception, communication, intelligence, and insight. Hy • per • plane ([hīpər-plān] noun): a term in machine learning applications, a higher-dimensional plane used to help categorize data based on its underlying structure from images to real-world events. The hyperplane symbolizes our investment model.
- Website
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http://hyperplane.vc
External link for Hyperplane
- Industry
- Venture Capital and Private Equity Principals
- Company size
- 2-10 employees
- Headquarters
- Boston, Massachusetts
- Type
- Privately Held
- Founded
- 2015
Locations
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Primary
Get directions
137 Newbury St
Floor 8
Boston, Massachusetts 02114, US
Employees at Hyperplane
Updates
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Hyperplane reposted this
We’re honored that Pickle Robot has been named a 2025 BostInno Fire Award honoree by the Boston Business Journal! This recognition celebrates Boston’s most innovative and fast-growing companies. We’re proud to be part of a community that’s advancing technology, logistics, and robotics together. The energy, creativity, and collaboration across Boston’s tech scene inspire us every day. Read about all the honorees here: https://lnkd.in/ei8BJdfg
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Hyperplane reposted this
We're thrilled to announce our partnership with Syntracts! The next wave of AI value creation will come from application-specific systems that prioritize accuracy, security, and cost efficiency. Led by Douglas Bemis (former CTO at Uber AI Labs) and Christopher Martin (legal industry veteran), Syntracts is pioneering secure, on-prem AI models purpose-built for legal workflows. We’re proud to partner with Doug and Chris alongside Khosla Ventures, Myriad Venture Partners, Point72 Ventures, Top Harvest Capital, and Fortitude Ventures. https://lnkd.in/eAXHkYdT
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Congratulations to Andrew Meyer, Ariana Eisenstein, Dan Paluska, and the entire Pickle Robot Company team for being named to The Information's 50 Most Promising Startups of 2025! This list recognizes companies demonstrating potential based on revenue, business model, and growth trajectory. We're proud of our partnership with Pickle Robot Company since the company's earliest days! See the full list: https://lnkd.in/eBVrcn2f
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Hyperplane reposted this
The next wave of AI value creation will come from application-specific systems that prioritize accuracy, security, and cost efficiency. Led by Douglas Bemis (former CTO at Uber AI Labs) and Christopher Martin (legal industry veteran), Syntracts is pioneering secure, on-prem AI models purpose-built for legal workflows. We’re proud to partner with Doug and Chris alongside Khosla Ventures, Myriad Venture Partners, Point72 Ventures, Top Harvest Capital, and Fortitude Ventures. https://lnkd.in/epGPNSFJ
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Hyperplane reposted this
We’re days away from our highly anticipated Tough Tech Week event Beyond Venture Capital: Non‐Traditional Partnerships Driving Innovation, brought to you by Hidden River Group and LeafLabs. 📅 Date & Time: Wednesday, October 29th, 5-7pm 📍 Location: LeafLabs, 1280 Cambridge St, Cambridge, MA This isn’t your typical funding panel. We’ll explore how federal partnerships, SBIRs, CRADAs, and other non-traditional pathways are fueling breakthroughs in climate tech, neuroscience, and advanced systems. 🎙️ Panelists include: Henry Lee, Cultivarium John Sherwood, LeafLabs Kyle Gross, Koo Capital Nathan Stempel, Hidden River Group Samara Gordon, Hyperplane This event is for you, whether you’re: 💡 A founder exploring alternative funding routes 🤝 An investor or partner seeking the next frontier 🧠 A technologist building in tough tech We have had an amazing outpouring of interest in attending. If you are no longer planning to come, please update your invite so that we can ensure people on the waitlist can attend. For those on the waitlist, we will send out a recap of insights after the event. See you there!
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We're thrilled to announce our partnership with Syntracts! The next wave of AI value creation will come from application-specific systems that prioritize accuracy, security, and cost efficiency. Led by Douglas Bemis (former CTO at Uber AI Labs) and Christopher Martin (legal industry veteran), Syntracts is pioneering secure, on-prem AI models purpose-built for legal workflows. We’re proud to partner with Doug and Chris alongside Khosla Ventures, Myriad Venture Partners, Point72 Ventures, Top Harvest Capital, and Fortitude Ventures. https://lnkd.in/eAXHkYdT
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We’re lucky to work with incredible founders across Canada who are building category-defining companies. 🚀 It’s a privilege to back teams pushing the limits of what’s possible. 🇨🇦
Building #PharmacyHealthClinics in 🇺🇲 & 🇨🇦 with tech & AI | Google Accelerated & Betakit’s Most Ambitious
[Boston, MA] 🇨🇦 Few Canadian founders are ✨ fortunate ✨ enough to say that they have awesome investors enabling you to build Category Challenging Companies! 🚀🚀 🚀 👇 Hyperplane is that VC for us! cc: Alexander Dunn Quinn Underwood Samara Gordon
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Hyperplane reposted this
[Boston, MA] 🇨🇦 Few Canadian founders are ✨ fortunate ✨ enough to say that they have awesome investors enabling you to build Category Challenging Companies! 🚀🚀 🚀 👇 Hyperplane is that VC for us! cc: Alexander Dunn Quinn Underwood Samara Gordon
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How do you turn a brilliant AI concept into a real-world, scalable business? Join Pickle Robot Company CEO, Andrew Meyer for an exclusive deep dive alongside David Sokolic, Frontier Fund partner at Toyota Ventures, Kate Tsui, University Research Partnership Program Director at Toyota Research Institute, as they pull back the curtain on this journey during Tough Tech Week by The Engine. Transforming groundbreaking science into market-ready solutions takes grit, financial support, and a clear vision. This session explores the multiple paths startups and researchers are taking to build physical AI for today’s toughest problems—from the lab to the loading dock. 🗓️ Date: Tuesday, October 28, 2025 ⏰ Time: 6:00 PM - 8:00 PM EDT 📍 Location: Cambridge, MA (Venue details provided upon registration) In this session, you'll gain valuable insights on: ✅ What VCs like Toyota Ventures are looking for in today's market. ✅ How researchers can partner with industry leaders like Toyota Research Institute. ✅ How Pickle Robot navigated the path from concept to a scaled company. Spots are limited for this in-person discussion and registration approval is required. Secure your place now: https://lnkd.in/geFBXSSV
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