Participated · Series A · May 2026

Tessera Labs develops autonomous AI agents trained to manage end-to-end enterprise IT and ERP transformations, including business-process design and automated code reconfiguration for large-scale system updates. Founder Kabir Nagrecha, who previously researched AI at Meta and Netflix, started the company after observing inefficiencies in traditional system-integrator models. Tessera says its approach can reduce the number of required consultants dramatically (from hundreds to a handful) and shorten coding cycles from around ten months to weeks. The company reports client-level savings exceeding $100 million annually for large enterprises and is working directly with customers such as Merck and Xerox while running trials with other Fortune 500 firms. Publicly reported metrics and financials beyond those claims were not provided in the articles.

Participated · Series B · Apr 2026

Patlytics offers an end-to-end AI platform purpose-built for patent workflows, covering invention harvesting, application drafting, infringement analysis, invalidity contentions, and portfolio management. The company reports measurable customer impacts such as an 80% reduction in project time, more than $30,000 saved per claim chart, and up to 15 hours recovered per patent application. Patlytics is trusted by over 40% of Am Law 100 firms and a number of corporate IP teams and ranked practices. Following the $40 million Series B, bringing total funding to about $65 million, the company plans to develop an AI-native collaboration suite, domain-specific autonomous AI Agents, and deeper chem-bio capabilities. Patlytics is expanding globally with a new London office and a recently appointed Head of EMEA. The company is headquartered in New York.

Led · Equity · Jan 2026

StrongSuit offers an end-to-end AI operating system for litigators that ingests more than 10 million U.S. legal cases, enriches them with specialized metadata and tagging, and surfaces precedent and drafting suggestions through a highly visual workflow. The platform condenses week-long research and drafting tasks into roughly 10 minutes for 85% completion, after which attorneys can polish outputs inside Microsoft Word using integrated StrongSuit tools. In May 2025 the company launched its most advanced research and drafting system, and in November 2025 it rebranded to StrongSuit while adding ‘good law’ verification and other upgrades. The business crossed $1 million in ARR, then doubled the following quarter, and has tripled recurring revenue in the first half of 2025. StrongSuit’s total funding now stands at $13 million, and it plans to triple headcount across product, engineering, customer success, and legal AI research in Texas and California. CEO and co-founder Justin McCallon, a former attorney and AT&T executive, says the company targets a share of the roughly $440 billion AI-addressable legal market. StrongSuit differentiates itself from chatbot-style tools by delivering exhaustive precedent research, element-by-element legal outlines, and fully drafted, citation-rich litigation documents.

Participated · Seed · Jan 2026

New York–based CVector Energy builds an AI software layer that sits between plant operations and bottom-line economics, continuously analyzing data to flag equipment issues, optimize energy use, and link actions such as opening a valve to their exact financial impact. The platform is already deployed with customers ranging from ATEK Metal Technologies’ aluminum casting facility in Iowa to San Francisco ammonia-production startup Ammobia, as well as public utilities, advanced manufacturing sites, and chemical producers. Founders Richard Zhang and Tyler Ruggles describe the offering as "operational economics," giving operators a clear, dollar-based view of every decision in complex facilities. Since its pre-seed round last July, CVector has grown to 12 employees and opened its first office in Manhattan’s financial district, increasingly recruiting data talent from hedge funds and fintech. The team reports that wider industry comfort with AI and strong demand for cost-control tools are accelerating adoption. The newly secured seed capital will fund further product development and expansion into additional heavy-industry verticals. Prior to the seed raise, the company had completed an undisclosed pre-seed round; no revenue or user counts were disclosed in the article.

Participated · Seed · Oct 2025

Syntracts offers a privacy-first infrastructure layer that plugs into law firms’ existing systems (e.g., iManage, NetDocs, SharePoint) to ingest documents, structure their contents, and feed the resulting data back into any dashboard or AI assistant in use. Its specialized language models are fine-tuned on synthetic data generated from each client’s own contracts, reducing review time by 80% while ensuring outputs remain auditable and confined to the firm’s on-prem environment. Unlike cloud-hosted legal AI tools, all processing happens entirely within the customer’s firewall, addressing the sector’s stringent confidentiality and reliability requirements. The company has secured multi-year partnerships with AmLaw 25 firms and was accepted into A&O Shearman’s Fuse incubator, underscoring early market traction. With fresh seed funding, Syntracts plans to accelerate adoption across BigLaw and corporate legal departments and further develop its secure AI backbone. The Washington, D.C.–based startup was co-founded by former Uber AI Labs CTO Doug Bemis and Big Law veteran Christopher Martin. To date, it has raised $5.3 million and is backed by investors focused on frontier AI and enterprise infrastructure.