The Venture Codex

Led · Seed · Jul 2026

ChatFeatured builds an AI search optimization platform that analyzes what large language models cite, identifies competitive and content gaps, and then crafts and publishes content to improve a company’s visibility. The company is developing an autonomous answer engine optimization (AEO) agent designed to proactively find opportunities, recommend editorial actions, create and publish supporting content, and track resulting lift. ChatFeatured launched in January 2026 and was founded by Farris Nasr and Nithiiyan Skhanthan, with Ryan Nahas as founding Head of Growth. It serves customers across five countries — the United States, Canada, Australia, the United Kingdom and Germany — and reports over 40% month-over-month growth since launch. The company says every customer on its platform sees increases in citations and traffic from AI search engines, which it links to increased revenue. ChatFeatured recently raised US$2.0 million in a pre-seed round to support team growth, go-to-market expansion and continued product development.

Participated · Seed · May 2026

Stock operates a supply-chain technology platform that matches brands and third-party logistics operators with nonprofits to donate excess and end-of-life inventory. Founder Abby Nawrocki, who worked in U.S. distribution for brands including Zara, Skims and Uniqlo and later at third-party logistics startup Deliverr, launched the company in 2024 after repeatedly encountering retail waste. Nawrocki left her corporate role in October 2025 to build Stock full time. The company targets a sizable waste problem highlighted by a 2022 Avery Dennison report estimating $163 billion in usable inventory discarded annually by U.S. 3PLs. Financially, Stock has just completed a $1.5 million pre-seed round led by M25 with participation from Storytime Capital, Mighty Capital, LongJump and IU Ventures to support its early growth. No revenue, user metrics, or prior institutional funding are reported in the article.

Participated · Equity · Nov 2025

NLPatent offers an AI-powered patent research platform designed to accelerate and simplify the process of locating and analyzing prior art for legal departments, law firms, and technology companies. By leveraging machine learning, the product aims to deliver faster and more accurate search results than traditional keyword-based tools. The company positions itself within the growing legal-tech segment, serving clients that require high-volume, high-accuracy patent insights. Its technology is marketed as a way to reduce research time and improve decision-making in intellectual-property workflows. NLPatent recently secured a $3 million funding round, which supplies its current capital base and underscores investor confidence in its approach. Although the article does not disclose revenue, user numbers, or profitability metrics, the new financing suggests continued product enhancement and potential market expansion. The startup’s backers include well-known venture investors focused on both technology and legal-tech sectors.

Led · Seed · Sep 2025

Quack has built an operating system that turns customer support from a reactive cost center into a proactive growth engine by integrating AI agents directly into existing CRM workflows. The platform allows CX teams to train the agents topic-by-topic—mirroring how a human rep is onboarded—so the bots can tackle complex, contextual queries at scale. Quality-assurance tools cover both AI and human interactions, continuously improving agent performance and reliability. The company says dozens of global brands such as Artlist, Yotpo, WalkMe and Hologram already rely on its technology. With a global presence in Tel Aviv, San Francisco and New York, Quack intends to funnel new capital into U.S. go-to-market efforts and further product innovation. Founded by Nadav Kemper and Aviram Roisman, Quack positions itself to help companies reduce support costs while boosting customer satisfaction.

Participated · Seed · Jan 2025

Thoras builds an AI-driven reliability and observability platform that helps engineers rapidly locate root causes of software disruptions and predict demand fluctuations. The company emphasizes cost-efficient reliability, using smaller machine-learning models rather than large LLMs to avoid overconsuming cloud resources. Thoras claims it can find and solve issues 70% faster and save customers up to 60% on cloud costs. It has been focused on Kubernetes environments with plans to expand into other types of cloud software. Thoras came out of stealth in January 2024 and reports revenue growth of 360% in the past nine months. The startup intends to use new financing to hire engineers, build out product capabilities and keep up with customer demand. Thoras.ai builds software that monitors cloud services to forecast demand and autonomously scale Kubernetes workloads up or down. The agent integrates alongside a service and connects directly to development environments with no APIs and no data leaving the customer environment, prioritizing security and privacy. Developers get a dashboard that surfaces resource metrics and performance alerts, with an emphasis on a visually appealing UX. The company currently uses task-based machine learning to forecast consumption and proactively identify problems, and it plans to add LLM-powered NLP features in future roadmap products for troubleshooting. The founders launched the company right after the first of the year, released an initial product version, are running in live customer environments, and are already generating revenue. Today they announced a $1.5M pre-seed financing.