Participated · Seed · Jun 2026

ZeroDrift offers a compliance enforcement layer that sits between AI models and end users, converting regulatory requirements and internal policies into machine-readable rules that operate in real time. Its system integrates with existing enterprise tools including email, CRM, websites, social media and AI systems to flag problematic outputs and suggest corrections before content reaches users. The platform includes dashboards, audit trails and automatic logging to support regulatory examinations, targeting regulated industries such as financial services where auditability is critical. ZeroDrift emphasizes industry-specific regulatory compliance rather than purely technical model security, positioning itself against a fragmented AI governance market. The company was founded by Kumesh Aroomoogan, who previously built and sold Accern, and is headquartered in New York. Financially, ZeroDrift announced a $2M pre-seed in February 2026 and raised $10M in June 2026 to scale its product.

Participated · Seed · Apr 2026

Dreambase builds an AI-native analytics platform that connects to Supabase in seconds and automates analytics through specialized AI data agents that query data, build pipelines, surface patterns and deliver recommendations. Its product suite includes Supabase Report Cards for database health assessments, production-ready dashboards with a natural-language AI assistant, AI-generated reports with supporting visualizations, a semantic Topics layer for reusable KPIs, and an Analyst Agent tuned for Postgres best practices. Users access the platform via MCP, CLI or the Dreambase UI. The company plans to deepen core capabilities and broaden integrations with systems that complement Supabase. Dreambase was co-founded by Andy Keil and Kyle Ledbetter and will deploy its newly raised seed capital to expand operations and accelerate development.

Participated · Equity · Apr 2026

Schematic provides runtime monetization infrastructure that decouples entitlement and enforcement logic from application code, enabling non-engineering teams to change pricing and packaging via a dashboard. The product acts as a universal control layer that enforces who can access which features and handles special plans, discounts, and consumption-based rules. Customers cited include Plotly, Automox, Florence and Sema4.ai, and Plotly reported reducing pricing-change timelines from weeks to about 10 minutes after adopting Schematic. Schematic announced a Stripe partnership and plans to launch a Stripe app publicly at Stripe Sessions. The company was founded in 2023 and is based in Boulder, Colorado. Financially, Schematic has raised a total of $12 million to date, including the latest $6.5 million seed round.

Participated · Series B · Feb 2026

Founded in 2019, Slang AI has built a custom-trained, agentic voice platform that handles inbound guest calls, books reservations, routes high-value requests and recognizes returning guests, allowing hospitality staff to focus on in-person service. The system operates 24/7 and integrates with tools such as OpenTable, SevenRooms, Tripleseat and Yelp. Slang AI claims a dataset of 25 million calls from 10 million unique guests across more than 2,000 restaurant locations, enabling 95%+ guest satisfaction, a 2× lift in phone reservations and up to 20× ROI for operators. The company has raised $68 million in funding to date and reports a sustainable competitive advantage through its proprietary data moat. Future product plans include deeper AI capabilities, multi-modal experiences, personalized recommendations, post-visit follow-ups and expanded analytics for operators. The new capital will also support scaling of engineering, product and go-to-market teams as demand surges.

Participated · Seed · Jan 2026

Founded in 2022 and headquartered in Lausanne, Switzerland, Ex Nunc Intelligence has built Silex, an AI legal-intelligence platform that interprets natural-language legal queries and returns documented answers grounded in authoritative legal sources. The company has created a proprietary legal intelligence stack that covers data ingestion, legal structuring, retrieval, reasoning, and generation, including its own AI models. Silex is already used by hundreds of law firms, notary offices, and corporate legal departments, demonstrating early market traction in the B2B legal sector. The product roadmap includes rolling out specialized AI agents tailored to individual legal domains and expanding the underlying legal knowledge infrastructure. Recent funding will accelerate these development efforts and support broader market rollout. Although still at the pre-revenue or undisclosed-revenue stage, the company’s adoption figures suggest growing demand for automated legal research solutions.