The Venture Codex

Participated · Equity · Jul 2026

Pangram develops machine learning models to detect AI-generated and AI-assisted text and images, training on tens of millions of human documents and synthetic mirrors to learn stylistic differences. The company recently launched Pangram 4, its next-generation text detector which it says is over 99% accurate, and Pangram Image, an image detector currently available in research preview. Pangram provides a $20/month web subscription, a Chrome extension that labels content in real time across platforms like X, LinkedIn, Substack, Reddit, and Medium, and an API used by customers such as Substack, Quora, schools, publishers, and recruiters. Founders Max Spero and Bradley Emi, both Stanford AI and machine learning graduates, started the company about two years ago in response to the proliferation of AI-generated content following ChatGPT. The team reports a very low false-positive rate (roughly one in 10,000 human documents flagged) and highlights use cases ranging from publisher integrations to academic and moderation settings. The company has not disclosed revenue figures or detailed financial metrics in the article.

Participated · Series A · May 2026

Founded in 2019 by Mattia Montagna and Hoi-Kwong Lo out of a leading quantum security research group, Quantum Bridge Technologies develops quantum-safe cryptographic solutions centered on its patented Distributed Symmetric Key Establishment (DSKE) protocol. The DSKE protocol enables organisations to generate, distribute, and manage symmetric keys via a decentralized architecture that aims to remove single points of failure, improve scalability, and strengthen long-term cryptographic resilience. The company’s platform is designed to work across existing infrastructure, vendors, and security layers, allowing customers to add quantum-safe protection from optical encryptors to application-level systems without disrupting operations. Quantum Bridge positions its technology as practical and deployable today to address the systemic threat posed by emerging quantum computing. The company has raised a total of $16 million to date, including the recent $8 million Series A, and plans to use the new capital to accelerate global adoption and expand customer deployments.

Participated · Series A · Apr 2026

Oh develops uncensored generative AI models and applications and operates an ecosystem that includes OhChat, an immersive interactive platform featuring AI characters, and the OH token used for governance and platform utilities. The team emphasizes decentralizing AI governance and providing monetization opportunities for creators via interoperable AI characters. The company has raised $12 million to date, including the recent $7.5 million Series A. Coverage does not provide revenue, user counts, or a founding year. Public statements highlight continued product and ecosystem development aligned with its decentralization and creator-monetization goals.

Led · Seed · Sep 2025

Founded in 2024, Miru is building a unified investigation platform that turns the fragmented data and toolsets common in security operations into a native knowledge graph. This structure allows analysts and Miru’s AI agents to pull the right data, correlate alerts and automate deep-link analysis across domains. A feature called “Agentic Dispatch” enables fully autonomous investigations that can scale with the volume of security alerts. The company’s engineering base is in Europe with a small R&D hub in Ireland, while its headquarters is in San Francisco. Miru’s founding team previously held senior security roles at eBay, Meta, Circle and various government agencies, giving them firsthand experience of the data-chaos problem they aim to solve. The freshly raised capital will go toward accelerating R&D and pushing the platform into customers’ hands. No revenue or user metrics have been disclosed to date, but the product is reportedly already in use by advanced investigative analysts. Miru positions itself as the defining investigations tool for the AI era.

Participated · Seed · May 2025

Founded in 2022 by Lily Clifford, Brooke Larson, and Ares Geovanos, Rime develops voice AI models tuned for enterprise phone calls. The company operates a recording studio in San Francisco to collect conversational data rather than relying on web-scraped audio and employs a phoneme-based architecture to adapt pronunciations and brand-specific terms. Rime started with separate pipelines for speech-to-text, text-to-speech, and an LLM but is shifting focus toward speech-to-speech models to reduce latency, improve turn-taking, and handle background noise. It serves customers across food service, healthcare, airlines, and fintech and counts Mayo Clinic, Dialpad, Upstart, and Asurion among its enterprise clients. The startup has about 35 employees and recently hired Rafael Valle as Chief Scientist to strengthen its audio understanding and model work. Rime says its training approach helps increase customer call duration, which it credits with winning enterprise contracts.