Participated · Seed · Jun 2026

Clario’s platform connects into enterprise file and content systems such as Google Drive, SharePoint, OneDrive, Box, and Confluence to scan metadata and surface redundant, obsolete, and trivial files. When files are flagged, Clario triggers intelligent workflows via Slack and Teams that prompt customers to keep, archive, or delete items, and the company reports it only gets paid when customers make one of those decisions. Over time the product learns from customer decisions to build an autonomous system that routinely cleans and maintains unstructured data. The company says it has engaged with hundreds of enterprises and is already working with several marquee organizations; early customer analysis reportedly uncovered terabytes of garbage data across multiple environments. Clario’s founders bring enterprise operating and engineering backgrounds including a five-time CIO and an engineering leader with experience at Oracle, NetApp, Nutanix, and VMware. The company is based in Menlo Park, California.

Participated · Seed · Jan 2026

Uplift AI is building foundational voice infrastructure for under-served languages, starting with Urdu and other South Asian dialects. Its platform offers speech recognition, text-to-speech and conversational AI APIs that allow third parties to add localized voice interfaces without creating their own language models. The technology is already in production: Khan Academy used it to release 2,500 educational videos in Urdu, Syngenta is deploying it to deliver spoken guidance to farmers, and over 1,000 developers are actively building on the APIs. Co-founders Zaid Qureshi and Hammad Malik, both former Apple and Amazon engineers, assembled the entire data-collection and model-training pipeline in-house to avoid quality compromises common in off-the-shelf solutions. Investors view the company as critical infrastructure addressing the next billion voice users rather than a single consumer app. With $3.5 million in seed capital now secured, Uplift AI plans to expand language coverage into the MENA region, deepen conversational intelligence, and integrate more tightly with education, public-sector and enterprise workflows.

Participated · Series A · Nov 2024

Aviz Networks develops AI-driven, vendor-agnostic networking software, including Community SONiC solutions, network visibility tools, and AI-driven management capabilities. Its Aviz AI Networking Stack offers orchestration, observability, real-time alerts, performance monitoring, RoCE support, packet brokers, service nodes, and a vendor-agnostic data lake powering an LLM-based Network Copilot. The stack integrates with the majority of ASICs, switches, GPUs, DPUs, and servers to provide customers hardware flexibility, operational control, and cost savings. Aviz’s solutions have been deployed by e-commerce platforms, telecommunications providers, retailers, GPU-as-a-service providers, cloud service providers, and diverse enterprise networks. The company plans to increase its workforce in the US and globally, further penetrate key sectors, and scale customer deployments while expanding its partner ecosystem. Aviz recently raised a $17 million Series A to accelerate market expansion and scale deployments. Aviz Networks is an open networking software company providing switch‑platform‑agnostic applications and APIs for network observability, orchestration, and assurance for cloud‑scale telecom and enterprise infrastructures. It offers disaggregated support for multi‑vendor SONiC deployments across data centers and edge networks. The company markets a multi‑vendor, GenAI‑based networking stack and intends to accelerate customer momentum and SONiC adoption. Aviz is led by CEO Vishal Shukla and is based in San Jose, CA. Financially, Aviz extended its funding to $10M with participation from Cisco Investments, Moment Ventures, Accton and Wistron. Over the past 12 months it has rapidly scaled customers, revenue, and operational headcount to meet increasing demand across multiple geographies. Aviz Networks provides software solutions for hybrid cloud and edge networks that leverage Multi‑Vendor SONiC. Its core offerings include the Aviz Certified SONiC program, an application‑driven support model with 24/7 SONiC experts, and cloud‑native applications for orchestration, monitoring, and support. Aviz has signed partnerships with all major switch and ASIC vendors to enable interoperable multi‑vendor networks and is making SONiC application‑aware to bring cloud‑native and AI capabilities to hybrid networks. The company cites deployments by a leading web‑scale enterprise customer that uses tens of thousands of devices and uses Aviz’s SONiC Enterprise Suite to manage their fabric. The founding team has backgrounds at Nvidia (Mellanox), AWS, and F5; Vishal Shukla is CEO, Chidambaram B is CTO, and Gautam Agrawal is CPO. Aviz’s stated vision is to drive open‑source networking via disaggregated cloud‑native applications and accelerate SONiC adoption across data center and edge networks.

Participated · Series A · Feb 2024

Power provides a patient-friendly platform aimed at improving access to clinical trial studies. Its proprietary AI translates medical jargon from trial descriptions into clear, accurate language and links patients with researchers to assess eligibility. The database already covers more than 30,000 clinical trials, 100,000 researchers and 10,000 medical conditions. Management expects the platform to serve over 500,000 patients in 2022. The company’s near-term focus is to broaden patient access and increase diversity within trials, goals that will be supported by its recent capital infusion. No revenue figures were disclosed in the article, but the scale of user engagement indicates early traction for the service.

Participated · Equity · Jan 2024

Rune Labs is a precision neurology software and data company whose core products include the StrivePD care-delivery ecosystem and the StriveStudy clinical development platform. Since launching in 2021, the company says StrivePD has become the most widely used software by Parkinson’s patients and clinicians and connects patients to clinical trials. In 2022 Rune’s StrivePD ecosystem received FDA 510(k) clearance to collect patient symptom data, including tremors and dyskinesia, via measurements made by Apple Watch. Rune leverages longitudinal real-world datasets and a network of engaged clinicians and patients to support biopharma and device developers, and has announced partnerships with BlueRock Therapeutics and Aspen Neuroscience. The company reports adopting generative AI tools to provide personalized insights at scale and focuses on delivering actionable data to drive patient engagement and improved care management. Financially, Rune announced a $12 million strategic round that brings total capital raised to over $42 million. Rune Labs is a San Francisco, CA-based brain data company focused on enabling the advancement and delivery of precision neuroscience therapeutics. Led by founder and CEO Brian Pepin, Rune’s precision brain data software platform integrates electrophysiology, brain imaging, device data, wearable data and clinical labels to make brain data useful at scale. The platform is designed to provide researchers, drug developers, and clinicians with tools to guide treatment, uncover hidden disease phenotypes, and design targeted therapies. Rune targets precision medicines for Parkinson’s disease, multiple sclerosis, depression and other neurodegenerative disorders. The company partners with academic collaborators and with biopharma and medtech companies to optimize clinical care and enable development of targeted treatments. Rune raised $22.8M in a Series A financing to expand the number of patients, clinicians, and researchers using its platform; Justin Butler of Eclipse will join the board. Rune Labs develops a cloud-based platform that sequences, labels and analyzes brain imaging and electrophysiology data to support neuroscience therapeutics. The company focuses on device-based neuromodulation therapies such as Deep Brain Stimulation (DBS) and Transcranial Magnetic Stimulation (TMS). Its platform can aggregate longitudinal data across patients, studies and centers and apply machine learning tools, and it interoperates with systems from Medtronic, Abbott and consumer devices like Apple Watch. Rune Labs emphasizes HIPAA compliance and partners with med‑tech and pharma companies as well as academic centers to improve precision therapy delivery. The company plans to use recent funding to continue R&D and to develop additional products. Since its 2018 founding, Rune Labs has raised a total of $7.3 million.