Led · Series A · Aug 2026

FSH Technologies develops end-to-end software for public-sector clients, targeting municipalities, school districts, and state agencies to modernize legacy government systems. The company emphasizes solving the whole procurement and change-management problem rather than only delivering software, and it avoids billable consulting hours and traditional sales or consulting teams—describing its staff as builders. FSH frequently competes with large consulting firms such as Accenture for government contracts and has reported winning bids against them. The founder and CEO, Lilly Chen, is a former Meta engineer who started the company after leaving Meta; reporting notes her personal background and leadership but does not specify the company's founding year. Financially, FSH has raised $25 million in total funding, including a $5 million seed and a $20 million Series A led by Lachy Groom. The articles do not provide revenue, user, or other operating metrics.

Participated · Series B · Aug 2026

Wispr AI is building voice-first foundation models to power Flow, a voice-to-text operating system layer that cleans filler words, structures thoughts and produces ready-to-use text in more than 25,000 apps and websites. The product’s accuracy is such that 90 % of spoken words require no edits, and after six months the average user writes 72 % of their characters with Flow, nearly halving daily typing time. The company reports 40 % month-over-month growth in both users and annual recurring revenue, and serves hundreds of thousands of users. Wispr envisions voice becoming the dominant interface and plans to expand Flow’s capabilities while hiring aggressively across engineering and product. A global partnership with “The Diary of a CEO” podcast will showcase the technology to an audience of over 35 million subscribers. Headquartered in San Francisco, the company has raised a total of $81 million from investors such as Notable Capital, Flight Fund, AIX Ventures, Menlo Ventures, NEA and 8VC. These funds will be used to scale its voice-native computing system worldwide.

Participated · Series E · Aug 2026

Horizon3.ai develops AI specifically designed to perform autonomous, authorized penetration testing across live infrastructure via its NodeZero platform. The platform is built to test live systems without shutting down operations and to scan entire infrastructures continuously rather than sampling a small percentage. The company reports having run 310,000 production security tests with zero disruptions and serves roughly 7,200–7,300 customers ranging from managed service providers to Fortune 10 enterprises. Horizon3 approached $100 million in annual recurring revenue last year and achieved 120% year-over-year growth. Its founders, who met while serving at Joint Special Operations Command, have reinvested heavily in product development—about $100 million in R&D to date. The company is expanding internationally with new offices and a growing partner network while positioning itself to address accelerating AI-driven attack threats.

Led · Seed · Jul 2026

Savi Security develops AI-driven tools to detect and intervene in modern AI-enabled scams, including text, email, voicemail, and phone-call attacks. The company launched a free submission site, Scam Wise, which has collected about 50,000 suspicious messages and provides in-the-wild data to train its models. Savi primarily leverages Google’s Gemini through an AI gateway that allows it to access other models for specialized tasks such as voice detection. Its paid iOS and Android app screens communications and offers live-call monitoring where a user can add a Savi listener to assess behavioral tells during a call. The service is offered via a family-priced plan at $8/month or $63/year covering multiple users on a single account. The company was founded by brothers Patrick and Ryan Coughlin, who bring backgrounds in national cyber defense, enterprise security, and consumer product roles.

Participated · Series A · Jun 2026

Novellia provides an AI-powered platform that helps patients find and unify up to 20 years of medical data from disparate hospital systems, doctors' offices, and labs in seconds. Its technology applies proprietary NLP models to extract signals from unstructured clinical text—such as physician notes, lab narratives, and diagnostic reports—and produces anonymized, harmonized datasets for research. Novellia says its customers include several of the top 10 pharmaceutical companies as well as early-stage diagnostics companies, and it has signed seven-figure, multi-year contracts with major pharma. The company recently launched a patient-facing mobile app as an extension of its online platform. Novellia has received industry recognition and awards and is backed by peer-reviewed research presented at medical congresses. Financially, the company has raised $28 million in total funding following the announced $18 million Series A.