Participated · Series C · Aug 2026

Skan AI builds a continuously evolving record of how work actually happens across enterprise systems, distilling billions of observed work signals into execution logic for AI. Its platform consists of Skan AI Blueprint (discovery and prioritization of AI opportunities), Skan AI Intelligence (process benchmarking and workforce management), and Skan AI Agents (agent execution grounded in observed work). The company reports it has processed over 25 billion work signals, is trusted by a quarter of the Fortune 50 and seven of the top ten U.S. banks, and has delivered more than $500 million in cumulative customer value. Skan AI reported more than 300% year-over-year growth and average net dollar retention of 150% in the past year. The company says customers realize average operational savings of 30–40% from deployments. The business targets complex, regulated workflows in industries such as banking, insurance, and healthcare, and is based in Menlo Park, Calif.

Participated · Series A · Jun 2026

Arcade.dev provides a secure action layer that enforces authorization, executes agent actions, and provides governance and auditing for production AI agents. The company authored the MCP authorization specification and says it runs agent actions in production across major enterprises, including a top U.S. bank, Prosus, and LangChain. Arcade reports tool call volume is up 25x in six months and maintains a catalogue of over 8,000 MCP tools purpose-built for agent usage. Its platform is designed to eliminate standing permissions and reduce failed actions and token costs. The team includes builders from identity, data, and integration layers at Okta, Redis, MongoDB, Snowflake, and Airbyte. With $72 million in total funding after the Series A, Arcade plans to expand product development, grow its ecosystem, and scale hiring to support enterprise deployments.

Participated · Series B · Aug 2025

Functionize provides an AI-powered platform that generates, executes, and self-heals software test cases using agentic AI, notably released as Agentic Platform 6.0. The product emphasizes rapid test-case generation from prompts and autonomous maintenance to reduce manual test upkeep. In 2024 customers ran over one billion agentic AI actions on the platform, producing a reported 10x productivity increase and cutting test maintenance costs by as much as 90%. The company serves enterprises including Fortune 500 and Global 2000 organizations and integrates with leading applications and system integrators. Future plans in the announcement include expanding use cases toward fully autonomous, AI-driven quality assurance, scaling cloud infrastructure, enlarging go-to-market and engineering teams, and entering new markets and verticals. Functionize says these capabilities aim to extend value beyond functional testing into broader CIO workflow inefficiencies. Functionize offers an AI-powered test automation platform with features such as SmartFix, Self Heal and Live Debug that aim to reconnect product teams, developers and quality engineers. The company markets a cloud-based autonomous testing platform it officially launched in 2015. It has grown its employee base to over 100 staff. Under newly appointed CEO Gary Messiana, founder Tamas Cser will transition to focus on product and CTO responsibilities. Functionize says it will use proceeds from its latest strategic investment to strengthen its proprietary AI technology. The company previously raised a $16M Series A in 2019 led by Gary Little. Functionize offers an AI-powered, cloud-based autonomous testing platform that leverages proprietary natural language processing to create and maintain tests. The product integrates with popular CI/CD tools to accelerate testing and speed development cycles. Customers include TOTVS, Zenefits, and Agvance, and the company maintains a partner ecosystem with Google, SHI, Wipro, Marlabs, and SQALogic. Reported customer outcomes include up to 6x increases in QA efficiency, up to 90% reductions in test creation time, and 75% reductions in maintenance time. Functionize targets a roughly $3 billion software testing market and emphasizes a cloud-first approach to harness AI compute. The company was founded in 2015 and is based in San Jose, Calif.

Participated · Equity · Dec 2024

Tuskira builds a platform to aggregate and optimize fragmented security tools, surfacing exploits and misconfigurations across code, cloud environments, applications, and infrastructure. The company aims to reduce attacker dwell time and proactively strengthen defenses rather than address threats in isolation. Tuskira targets enterprise customers across finance, healthcare, technology, and government, and emphasizes improved monitoring and measurable security posture improvements. The founding team—Piyush Sharma, Vipul Parmar, and Om Moolchandani—previously founded Accurics, which was acquired by Tenable in 2021. San Francisco-based Tuskira operates at roughly a 50-person scale and has been emerging out of stealth. The company plans to advance its AI technology, expand integrations, and enhance customer onboarding using newly raised capital.

Participated · Series A · Jul 2024

Ema builds an agentic AI system—branded as a "universal employee"—that uses collections of AI agents called Ema’s Personas to perform complex, multi-step tasks autonomously. Its platform adapts to enterprise-specific data and workflows and can leverage multiple LLMs based on accuracy, cost, and performance needs. Ema emphasizes operating within company infrastructure to maintain data privacy and security while providing explainable and verifiable outputs. The product is designed to address common LLM shortcomings such as inaccurate outputs, data security risks, and a lack of domain-specific insight. Customers and partners include Moneyview, TrueLayer, and Envoy Global, and Ema was selected for Microsoft’s invite-only Pegasus Program. The company has raised $61M to date and says it will use the new funds to continue iterating its technology and expand investments in R&D and go-to-market. Ema offers an enterprise AI assistant sold as a platform with two products — Generative Workflow Engine (GWE) and EmaFusion — designed to emulate human responses and improve with usage and feedback. The company aggregates more than 30 large language models alongside its own smaller, domain-specific models in a patent-pending architecture to address accuracy, hallucination, and data protection concerns. Ema targets use cases across customer service (including technical support and tracking) and internal employee productivity, positioning itself as a cross‑use‑case solution rather than a single vertical tool. The startup emerged from stealth with paying customers it signed while private, including Envoy Global, TrueLayer and Moneyview. Leadership includes CEO and co-founder Surojit Chatterjee and co-founder/head of engineering Souvik Sen, both with extensive product and ML experience and numerous patents. The company says its goal is to free employees from routine work so they can focus on higher-value strategic tasks as it expands product applicability.