Participated · Series B · May 2026

Corgi is an AI-native, full-stack insurance carrier founded by Emily Yuan and Nico Laqua and headquartered in San Francisco. As a licensed carrier, it designs and manages insurance end-to-end and uses AI to power underwriting, policy management, and claims operations. The company launched its platform after receiving regulatory approval in July 2025 and initially focused on property-management insurance for startups. Corgi plans to expand its product suite into new verticals including trucking, payroll, and small-business insurance while broadening coverage and distribution. Financially, Corgi has raised over $268 million to date, including a $160 million Series B at a $1.3 billion valuation. The company is investing the new capital in AI systems, faster quoting, adaptive risk models, and operational scaling to support its growth plans.

Participated · Series B · Sep 2025

Founded in 2020, Solana Beach, California–based Alvys offers a modern Transportation Management System (TMS) that automates dispatch, load management, tracking, driver management, billing, payroll and more for logistics companies. The platform combines AI, automation, native EDI and over 120 integrations to eliminate manual work and enable real-time, data-driven decisions. Customers report a 28% increase in monthly loads, a 9% revenue boost, 90% faster accounting, 80% less data entry and significant time savings in dispatch and administrative tasks. With fresh capital, Alvys plans to deepen AI throughout its workflows, expand enterprise-grade functionality via advanced API integrations, refined analytics and enhanced compliance, and accelerate onboarding for mid-market fleets seeking rapid ROI. The company’s goal is to let carriers and brokers grow load volumes and profit margins without adding overhead, delivering ROI in weeks instead of years. Alvys has earned spots on FreightWaves’ and Transport Topics’ Top 100 lists and was named a 2024 Top Tech Startup by Supply & Demand Chain Executive. Including its latest round, the company has raised $77 million to date, positioning it to scale product development and go-to-market efforts.

Participated · Series A · Sep 2025

Higgsfield builds an AI-driven platform for generating and iterating short-form video, emphasizing workflows that let users repeatedly rework clips rather than producing one finished asset. The company publicly launched in 2025 and has grown to more than 15 million users across 240 countries. Its business has shifted toward enterprise marketing customers, which now comprise the majority of revenue after moving from under a quarter earlier in 2025. Higgsfield reported annualised revenue of $500 million, up from roughly $200 million at the end of 2025. The team was founded in 2023 by Alex Mashrabov—who previously sold AI Factory to Snap and led generative AI there—alongside CTO Yerzat Dulat and co-founder Mahi de Silva. Management says future investment will prioritize enterprise product development, security, and scaling compute capacity to meet video-generation demand.

Participated · Seed · Jun 2025

Unbound’s core product is an AI Gateway that plugs into commonly used tools (e.g., Cursor, Roo, Cline or internal copilots) to provide real-time protection, model routing, and usage analytics for enterprise AI. Instead of simply blocking prompts, the platform redacts sensitive content in real time and reroutes high-risk requests to internal open-source models hosted in the organization’s cloud, preserving workflows while preventing data exposure. The company reports it has prevented the leakage of hundreds of secret credentials and more than 500 instances of personally identifiable information; customers have also cited prevention of over 7,000 potential data leaks. Unbound enables fine-grained control over model access and cost, letting teams allocate premium models to high-stakes workflows and route lighter tasks to smaller open-source models—mid-market customers have saved more than $10,000 annually and, per the company, cut AI tooling costs by nearly 70%. The product is in use with a growing base of mid-market and enterprise customers across sectors including tech and healthcare, including a deployment that supported 100+ engineers integrating Gemini 2.5 into production. The founding team—CEO Rajaram Srinivasan (former data security lead at Palo Alto Networks and Imperva) and CTO Vignesh Subbiah (former founding team member at Tophatter and Shogun)—draws on enterprise security and infrastructure experience to scale the product. Future plans for the new funding include expanding integrations across the AI ecosystem, deepening model routing capabilities, and supporting internal model orchestration for enterprises adopting open-source LLMs.

Participated · Series C · Sep 2024

Founded in 2019, Cortex offers an internal developer platform that acts as a centralized information hub to help engineering teams catalog services, track ownership, and access operational status and resource allocation. The platform scores and assesses services against minimum requirements and provides prescriptive, actionable recommendations to drive continuous improvement. Cortex automates routine tasks like ownership tracking and setup by syncing with identity providers and incident management tools, and provides predefined “golden paths” to reduce setup time for new software. It centralizes service catalogs, compliance metrics and resource information to increase visibility and developer productivity. Notable customers include Adobe, Grammarly and Opendoor. Cortex plans to use new funding to grow developer awareness and further platform capabilities with enhanced workflows, engineering intelligence and artificial intelligence. Cortex provides an internal developer portal that catalogs a company's services and resources and offers scorecards for production readiness and development quality. The product includes team hubs to clarify ownership and collaboration, plus a scaffolding service to standardize service architecture and create repeatable onboarding processes. The company started as a tool to help developers manage microservices and has broadened its focus to be an opinionated, action-oriented portal for engineering organizations. Cortex reports revenue growth of 400% year-over-year and lists customers such as TripAdvisor, Docker, Grammarly, Unity and SoFi. Founders Anish Dhar (CEO) and Ganesh Datta (CTO) say the team is focused on expanding in-portal tools so developers can take more actions and manage more of their ecosystem from the portal. The product is pitched as enabling culture change around service ownership, reliability and engineering standards. Cortex builds a services catalog and visibility platform that helps engineering teams track, standardize and improve microservices across organizations. Its core product is a services catalog and Cortex Query Language (CQL) that ingests data from about 30 tools, including GitHub, Bitbucket, Datadog, GitLab, Jira, SignalFX and Kubernetes, to surface service status and production-readiness. Teams can define production-readiness checklists (dashboards, alerting, on-call rotations) and measure compliance and service quality. The company recently launched a Service Creation tool to scaffold new services from templates, plus new teams features to improve cross-team collaboration and onboarding. Customers include Grammarly, 8x8 and Rappi, and Cortex reports 10x customer growth since its May 2021 launch. Financially, the company announced a $15 million Series A led by Tiger Global and Sequoia Capital; Sequoia also led its $2.5 million seed round. Cortex builds software that automatically creates and maintains a catalog of the services development teams use by integrating with tools like Jira and DataDog. The product ingests service metadata and ownership to reduce manual tracking and improve incident response and engineering velocity. Cortex recently launched Scorecards to enforce service best practices and introduced Cortex Query Language (CQL) to let teams express service rules as mathematical expressions. The company was founded in October 2019, launched its product in March 2020, and participated in Y Combinator. Today the team is small (about five employees) and is remote-first with the possibility of a small San Francisco office; it plans to hire 10–15 employees before the end of 2021. The company has secured seed funding to support product development, hiring, and go-to-market efforts.