• Opus Clip

  Led · Equity · Aug 2024

  OpusClip offers a multimodal generative AI clipping and video-editing platform that uses natural-language prompts to extract key moments from long-form video. The platform analyzes video content against current social media trends to surface the most compelling highlights and automatically generates short, high-engagement clips optimized for TikTok, YouTube Shorts, and Instagram Reels. Key features include AI Clipping, an AI Video Editor with animated captions, AI reframing, audio cleaning and AI B-roll, and OpusSearch for searching entire video libraries. Led by CEO Young Zhao and based in San Francisco, the product targets creators and media businesses looking to scale short-form content production. The company announced a $20M funding round to support product development and team expansion. OpusClip is an AI-powered video repurposing startup based in Redwood City, CA. Its core product turns long videos into high-quality viral clips optimized for TikTok, YouTube Shorts, and reels. The AI adjusts clips for various aspect ratios and detects speakers and moving objects to improve viral presentation. It identifies compelling hooks, extracts highlights from different parts of a video, and rearranges them into cohesive short videos. Formats the company cites as performing well include video podcasts, educational videos, commentary videos, product reviews, and motivational speeches. OpusClip intends to use the new funds to expand operations and accelerate development efforts.

• Mistral AI

  Participated · Series B · Jun 2024

  Mistral AI develops AI models and is expanding into infrastructure by building large-scale data centers for training and running advanced models. The company is constructing a facility in Bruyères-le-Châtel near Paris slated to be operational in Q2 2026 and has announced a second planned site in Sweden. Mistral aims to assemble a European compute network targeting 200 MW of capacity by the end of 2027. It will purchase roughly 13,800 advanced Nvidia chips with the recent financing. The company also supplies AI models and solutions to the French armed forces, positioning itself beyond pure model development into infrastructure and defense-related work. Financially, Mistral recently secured a €750M+ loan from a seven-bank consortium, its first significant borrowing from debt markets.

• Strella Biotechnology

  Led · Series A · Jun 2022

  Strella Biotechnology builds proprietary molecular/IoT biosensors and real-time data streaming that measure the maturity (ripeness) of individual pieces of produce to enable freshness monitoring from harvest to retail shelf. Its core product provides dynamic shelf-life predictions and actionable data to help suppliers, importers and retailers optimize inventory and reduce shrink. Initial adoption is in the apple industry, and the company says it is working with upstream fruit suppliers and some of the nation’s largest importers and retailers. Strella has monitored over 2.1 billion pieces of fruit to date. The company plans to use recent financing to expand grocery chain rollouts at national scale and to further develop products for additional commodities. Headquartered in Seattle, Strella positions its solution as a sustainability tool to lower food waste and related carbon emissions. Strella Biotechnology combines proprietary biosensor technology with Internet-of-Things capabilities to deliver actionable data for predicting fruit maturation and optimizing fresh produce shelf life. The company’s ethylene-sensing IP and analytics let packers monitor storage conditions and schedule shipments to reduce shrink and improve margins. Strella reports it has monitored nearly 150 million fruits in the packing segment, where some fruits may be stored for up to a year. Its product roadmap includes expansion into the retail distribution market and refining on-pallet sensing to enable data streaming throughout transportation. Strella positions its solution to help distributors select product better and ensure higher quality at grocery delivery. The company emphasizes sustainability goals, aiming to lower carbon emissions and reduce global food waste.

• Deep Instinct

  Led · Series C · Feb 2020

  Deep Instinct is the first company to apply deep learning to cybersecurity, offering a natively architected, prevention-first threat prevention platform. The company says its platform stops >99% of threats before other solutions see them, reducing detection noise and false alert storms. Deep Instinct positions its product to improve SOC team productivity and lower total cost of ownership for customers. The firm intends to use investor support to accelerate growth and drive adoption of a prevention-first model across enterprises. It currently protects customers across North America, Europe, and APAC; enterprise customers tripled in 2022 and it has strategic wins with numerous Global 2000 companies. The article does not disclose revenue or other financial metrics. Deep Instinct offers a prevention-first cybersecurity platform that applies deep learning to stop ransomware and other malware across hybrid environments. Its Deep Instinct Prevention Platform is designed to add multilayered protection to existing security stacks. The company says it will use the new funding to further penetrate the market. Deep Instinct raised $62.5M in the reported financing. As part of the announcement, Lane Bess—who has more than 35 years of experience in cybersecurity and was formerly CEO of Palo Alto Networks and COO of Zscaler—took over as CEO effective immediately. Co-founder Guy Caspi moved from CEO to Board Chair and became Chief Product Officer. Deep Instinct offers an end-to-end deep learning framework and platform designed to predict, prevent, and analyze cyberattacks across endpoints and networks. Its platform is positioned to protect organizations at multiple touchpoints and has expanded enterprise adoption rapidly. The company reports protecting customers across North America, Europe, and APAC, with enterprise customers tripling in the prior year and strategic Global 2000 wins in Q1 2021. Led by CEO Guy Caspi and Chairman Lane Bess, Deep Instinct intends to use the new funds to accelerate its growth plans for 2021 and beyond. The company has raised a total of $200M to date following this round. Deep Instinct applies deep neural network algorithms to cybersecurity, using end-to-end deep learning to identify and stop known and unknown malware, including zero-days and advanced persistent threats. Its system ingests raw data from servers, mobile devices and endpoints and is largely autonomous, with automated processes handled by its "deep learning brain." The company sells primarily to enterprise customers, both directly and via partners such as HP, which bundle or resell its solutions. Deep Instinct emphasizes cross-OS protection and claims higher detection and lower false positives than traditional machine-learning approaches that rely on human feature extraction. Management says the product can prevent first-seen, unknown attacks and is already used to counter rising spyware, ransomware and file-less attacks. The longer-term plan is to build a consumer-facing version of the product. The company is profitable, and highlights strategic relationships with large tech partners. Deep Instinct is a Palo Alto, Calif.-based company that applies deep learning to cybersecurity. Led by CEO and co-founder Guy Caspi, the company offers a deep learning platform that detects malicious behavior across multiple vectors and provides adaptive defenses for endpoints, servers, and mobile devices. The company raised $32M in a Series B financing led by CNTP, with participation from strategic investors including Nvidia, Coatue Management, and existing investors. It plans to use the funds to accelerate deployments in the U.S. and global markets. Mohsen Moazami, founding MD of CNTP and a former Cisco executive, was added to Deep Instinct’s board of directors in connection with the round.

• INDUS.AI

  Led · Series A · Sep 2019

  Indus.AI offers construction-site analytics built on a patent-pending custom neural network trained with images and video streams from close to 100 million square feet of construction sites across the globe. The platform processes live feeds to identify inefficiencies and risks that could lead to delays, cost overruns, or safety compliance issues and provides real-time data analytics and insights to owners, developers and project leaders. Led by CEO and co-founder Matt Man, the company positions its solution to improve project outcomes across the construction lifecycle. Indus.AI raised $8m in a Series A to accelerate product development and expand sales, marketing and customer success services. The funding is intended to support further product enhancements and go-to-market expansion. The company is based in San Francisco, CA. Indus.ai provides an AI-driven construction intelligence-as-a-service platform delivering real-time data, analytics and insights to owners, developers and project managers. Its platform uses a patent-pending custom neural network trained with over a million images and videos from construction sites to analyze equipment utilization and productivity. The system is designed to identify inefficiencies that could lead to unexpected delays, cost overruns, or compliance issues. The company is led by CEO and co-founder Matt Man and is based in San Francisco, CA and Toronto, Canada. In July 2018 Indus.ai raised $3.7M in seed funding led by Pierre Omidyar’s UP2398. It intends to use the proceeds to accelerate product development and engineering and to expand marketing and sales efforts.

No current team members are available.