Participated · Series A · Jul 2026

Feathery provides an AI operating system that collects and structures client information, synchronizes major systems of record, and normalizes data across surfaces, paired with an AI decisioning system that analyzes business data, surfaces insights, and feeds learnings back into workflows. Its platform powers a range of mission-critical workflows for insurance carriers, brokers, RIAs and broker-dealers, including client onboarding, submission intake, FNOL workflows, proposal generation, account opening and maintenance, and bordereaux ingestion. Feathery serves more than 300 firms and processes tens of millions of monthly submissions, and counts clients such as Sequoia Financial, Allworth Financial, Mission Wealth, Tokio Marine, Hiscox, Banner Life, Baldwin Group, Hilb Group, and Hylant. The company emphasizes integration with existing systems rather than forcing replacements. Following its $30M funding round, Feathery plans to invest in products that tap its data network and to expand engineering and go-to-market teams. The company is headquartered in San Francisco.

Participated · Series B · Apr 2025

Ocient builds data analytics software that delivers high-performance, compute-intensive analysis of very large and complex datasets using technologies such as Compute Adjacent Storage Architecture (CASA), Megalane™, OcientML®, and OcientGeo®. The company offers pilot-to-production deployments on premises, in the OcientCloud®, or in public clouds and emphasizes up to 90% price savings and reduced environmental impact. Ocient plans to use new capital to advance development and delivery of energy-efficient solutions for costly, complex, and operationally burdensome data and AI workloads and to expand customer deployments globally. The startup reported doubling revenues for the third straight year as it transitions into growth stage and has deepening industry partnerships with AMD, Solidigm, Amdocs, and others. Ocient was also accepted into the NVIDIA Inception program and recently launched a named telecommunications solution for data retention and disclosure. The company appointed Henry Marshall as CFO to manage financial operations as it scales. Ocient provides data analytics software that enables always-on, compute-intensive analysis of large, complex datasets, including in-database ML and geospatial capabilities. Its Compute Adjacent Storage Architecture (CASA) removes network bottlenecks to facilitate rapid data access and supports always-on loading, ETL/ELT, Zero Copy Reliability™, OcientML™, and OcientGeo™. The company says its platform delivers energy and cost efficiencies—including up to 80% price savings—and is positioned for next-generation, growth-scale analytics. Enterprises can deploy Ocient on premises, in OcientCloud™, or in the public cloud with minimal integration from pilot to production. Ocient reported 109% year-over-year revenue growth in its last fiscal year and plans to use new funding to advance product capabilities and deliver hyperscale data analytics solutions to a growing global customer base. Founded in 2016, Ocient is a global, carbon-neutral company headquartered in Chicago and has been recognized in the GigaOm Radar for Data Warehouses as a Fast Mover and Challenger. Ocient provides a proprietary data analytics solution (Ocient DAS) designed to enable rapid analysis of extremely large datasets. The platform can hold quadrillions of rows, ingest billions of rows per second, and filter and compute across trillions of rows per second. Ocient is deploying its DAS in Auction & Exchange Analytics, Security, and Geospatial customer use cases using industry-standard interfaces and hardware. The company was co‑founded in March 2016 by Chris Gladwin, Joseph Jablonski, and George Kondiles. Ocient closed a $40M Series B that brought total invested capital to $65M. The company plans to use the funds to grow engineering, customer success, operations, and sales and marketing, and expects headcount to double to 150 by the end of 2021. Ocient builds an ultra-large-scale relational database platform and SaaS designed to analyze multi-petabyte to exabyte-class datasets with interactive, sub-second query latency. Its DAS product can hold quadrillions of rows, ingest billions of rows per second, and filter/compute trillions of rows per second, and runs on commodity hardware or public cloud. The system targets use cases where NoSQL and Hadoop fall short, offering massively parallel processing and benchmarks that are typically ~50× faster than alternatives such as Presto (and up to 1,000× in some comparisons). The company says analytics that once took an hour can now take 10 seconds or less, enabling interactive insights on previously intractable datasets. Ocient has been expanding its team (hiring 15 employees and 9 interns in 2020 to reach over 50 employees) and plans to more than double headcount over the following year. The company also added senior management and advisory board members as it scales commercial and technical efforts. Ocient builds a relational database and analytics software platform designed to handle petabyte- to exabyte-scale data sets. Its platform is engineered to hold quadrillions of rows, ingest data at speeds of billions of rows per second, and filter and compute results at rates up to trillions of rows per second. The product targets organizations that need to analyze immense amounts of data at extreme scale. The company will use the new capital to support its engineering team, continue research and development, and activate a new development lab. Ocient was co-founded by Chris Gladwin, Joseph Jablonski and George Kondiles and is based in Chicago, IL. It secured about $10M in Series A funding to advance product and engineering work.

Participated · Series B · Feb 2025

Moderne automates code modernization by analyzing entire stacks and performing framework/library migrations, security vulnerability fixes, and upgrades to cloud-native equivalents. Its platform is built atop OpenRewrite and extends that foundation with multi-repository support, a web-based UI, reporting, and analytics. The company has added AI-assisted auto-refactoring powered by OpenRewrite’s Lossless Semantic Tree to enable large-scale, accurate code transformations. Moderne serves customers ranging from enterprises like Walmart and Allstate to small teams (its smallest customer has six developers) and claims about 50 employees. The team has shifted the company identity toward AI (including a domain move to .ai) and is expanding into application security auto-remediation, recently hiring its first chief information security officer. Financially, Moderne had raised around $20 million prior to this round and is using new funding to build AppSec capabilities and scale enterprise features. Moderne provides a SaaS platform that accelerates software development by automating code migration and fixes across a company’s entire application stack and codebase. Its technology is based on OpenRewrite, a large-scale automated refactoring tool that co-founder Jonathan Schneider developed while at Netflix and initially targeted Java. The platform enables full framework migrations (for example, Spring Boot 1 to 2 and JUnit 4 to 5), security-vulnerability fixes, and building blocks to simplify authoring custom transformations. Moderne’s SaaS is currently in private beta with early adopters and design partners. The company has begun expanding beyond Java into other languages and infrastructure-as-code, starting with Kubernetes, YAML, and XML refactoring. It intends to use recent funding to further develop its SaaS capabilities and to expand its engineering team. Founded by Jonathan Schneider and Olga Kundzich, Moderne is based in Seattle, WA.

Participated · Equity · Nov 2024

VISO TRUST provides an AI-driven third-party risk management (TPRM) platform that collects, analyzes, and continuously monitors vendor artifacts to produce real-time, evidence-based assessments. The platform automates vendor assessments, analyzes control presence, testing methodologies, exceptions, and Nth-party references, and integrates with existing workflows to reduce manual burden. VISO TRUST says it cuts vendor assessment and onboarding time by up to 90%, completes rapid assessments in 5–7 days, and achieves a 98% vendor adoption rate; customers include Upwork, Instacart, Notion, and Bain Capital. The company aggregates sources such as breach advisories, SBOMs, and SEC filings to provide continuous security intelligence and real-time insights. Following a $24M funding round, VISO TRUST plans to accelerate platform innovation, scale its artifact-based platform, and build an adaptable AI governance framework focused on real risk reduction. It serves a global customer base across sectors including financial services, healthcare, and technology. Viso Trust is a San Francisco-based third-party cyber risk management platform co-founded by former CISO Paul Valente (CEO) and security and technology leader Russell Sherman (CTO). The product leverages document heuristics, machine learning, and natural language processing to discover, classify, and assess relevant control language in artifacts that third parties already have. This automation is intended to free risk and security teams from manual tasks like reading documents and analyzing spreadsheets. In March 2022 the company raised $11M in a Series A led by Bain Capital Ventures, with participation from Work-Bench, Sierra Ventures, Lytical Ventures and individual investors including Kevin Mandia, George Kurtz, and Doug Merritt. BCV partner Enrique Salem will join Viso Trust’s board of directors as part of the round. In under a year the company has scaled rapidly among customers ranging from hyper-growth tech companies to Fortune 500 enterprises across industries such as banking, automotive, and retail. Viso Trust builds a platform that leverages AI and a "social due diligence" network to deliver continuous third-party risk reports. The platform automatically extracts data from source documents and audits to surface key information about vendor relationships. The company validated its core concepts with over 300 chief information security officers and security professionals and cites an early customer, Ilumio, which reduced security staff time per third‑party relationship from more than eight hours to 30 minutes. Viso Trust said it raised $3 million and will use the funds to support expansion and hiring and to invest in sales, marketing, and R&D. The product aims to eliminate questionnaire-based interactions and speed vendor security reviews across additional risk areas such as business continuity and privacy. The founders previously led security teams at LendingClub and ASAPP, and the company is San Francisco-based.

Participated · Series B · Jun 2024

Kinetic delivers digital maintenance and servicing for modern vehicles—including EVs, AVs and PHEVs—via its Kinetic Hubs and revenue-sharing partnerships with collision repair centers, dealerships and rental fleets. The company’s core product is a proprietary software and hardware stack that leverages AI, computer vision and robotics to scan, program and calibrate ADAS and other digital systems. Kinetic currently operates four service hubs (Las Vegas; Orange County, San Bernardino and Lake Elsinore, California) and plans to launch four additional hubs in the coming months to meet rising demand. The hubs are staffed by certified technicians who perform precise servicing and calibration for manufacturers-agnostic vehicles. Kinetic positions its offering as a way to reduce repair times and costs, address a shortage of certified technicians, and accelerate EV adoption by lowering total cost of ownership. The company was founded in September 2021 by Nikhil Naikal and Sander Marques and is headquartered in Santa Ana, California. Kinetic delivers digital maintenance and repair services for EVs, AVs and ADAS vehicles from any manufacturer through its Kinetic Hubs, stand-alone service centers staffed by certified technicians. Its solution is built on proprietary software plus AI, computer vision and robotics to enable precision servicing for consumers, dealers, rental companies and traditional repair shops. The company’s initial customers are predominantly collision repair centers that need AI- and robotics-enabled digital servicing to return vehicles to factory safety and performance standards. Kinetic launched its first hub in Orange County in May and is opening a second hub in Las Vegas this month. The company plans to use new funding to expand its engineering team with AI and robotics talent and to grow its network of Kinetic Hubs. Operationally, Kinetic reports its technicians can deliver 100% precision servicing in under 60 minutes and expects end-to-end cycle time to improve roughly 50% as it scales. Kinetic was founded in September 2021 and is headquartered in Santa Ana, California.