• Klaimee

  Participated · Seed · Jul 2026

  Klaimee offers insurance-backed performance warranties designed for autonomous AI agents. The company is backed by Y Combinator (P26). Its core product is positioned at the intersection of insurance and AI, targeting risk transfer around agent performance. Financially, Klaimee has just completed a $5.5 million seed round. The article does not report revenue, user metrics, or detailed future product roadmaps.

• Neurometric

  Participated · Equity · Jun 2026

  Neurometric builds an automated token engineering platform that evaluates individual model calls, modifies prompts, routes tasks to the most cost-effective models, and creates specialized small language models when needed. Its Task Endpoint Manager continuously updates model performance and pricing data to meet customer accuracy, cost, and latency requirements, and its Auto-SLM Creator generates purpose-built SLMs for recurring workloads. The platform also includes a marketplace of pre-trained task-specific SLMs for common workloads. Neurometric reports that routed or created models in early customer engagements have outperformed frontier models by as much as 20 accuracy points while reducing cost and latency. The company launched the platform publicly and closed $4 million in funding earlier this year. Neurometric plans to use the funding to expand its engineering and AI research teams and to add more optimization tools to the core platform.

• Inherent

  Participated · Seed · May 2026

  Inherent is a London-based AI lab founded by former DeepMind, Microsoft, Reka AI and White House employees. The company is building an AI system called Faraday that it says allows humans and self-improving AI to collaborate on difficult scientific problems. Inherent has framed its mission as writing the playbook for "AI-native science" and reimagining the scientific method from first principles. The founding team includes Tantum Collins, Edward Hughes, Louis Kirsch and Kaloyan Aleksiev, and Matt Clifford is listed as an advisor. Public reporting does not provide revenue, user, or other operating metrics.

• Cyphlens

  Participated · Seed · Dec 2025

  Cyphlens delivers a novel layer of protection called visual encryption, converting sensitive data into on-screen ciphers that can only be read through a secure decoding lens. Its flagship product, Cyph-lens, extends zero-trust security to the 'last mile' where traditional encryption ends, thwarting AI-driven phishing, screen-scraping malware, credential theft, and insider threats. The technology is already being adopted in highly regulated sectors such as financial services, government, and healthcare. Cyphlens differentiates itself by focusing on data exposure at the point of view, an overlooked gap in existing identity-and-access-management solutions. The company plans to broaden its platform with forthcoming products like CypherFile, which applies visual encryption to shared documents, and CypherMFA, a low-friction multi-factor authentication system. Proceeds from its recent seed financing will fund deeper enterprise integrations, product expansion, and scaled go-to-market efforts as the firm grows its engineering and customer-success teams.

• Confident Security

  Participated · Seed · Jul 2025

  Confident Security builds CONFSEC, an end-to-end encryption tool that wraps around foundation models to guarantee prompts and metadata cannot be stored, seen, or used for AI training—even by model providers or third parties. CONFSEC anonymizes data by encrypting and routing it through services like Cloudflare or Fastly, applies advanced encryption that only allows decryption under strict conditions, and publicly logs the software running AI inference so experts can verify its guarantees. Modeled after Apple’s Private Cloud Compute architecture, the company positions CONFSEC as an intermediary vendor that hyperscalers, governments, enterprises, and AI companies can add to their stacks to unlock regulated markets. The startup came out of stealth with $4.2M in seed funding from Decibel, South Park Commons, Ex Ante, and Swyx, and says CONFSEC has been tested, externally audited, and is production-ready. The year-old, San Francisco-based team is in talks with banks, browsers, and search engines as potential clients and aims to provide provable privacy guarantees for cloud AI usage.

No current team members are available.