Participated · Seed · Jun 2026

Floqer develops an AI-driven autonomous customer knowledge base that combines information from more than 100 third-party sources and internal company systems—including CRM, communications platforms, and sales records—to profile existing and potential customers. The system uses large language models and agentic AI to analyze structured and unstructured data, surface patterns and buying signals, and help users craft improved go-to-market plans. Co-founded in October 2024 by Shivam Mahajan and Zaaheda Islam, the Halifax-based startup has a team of eight and counts customers such as Wise, AngelList, Pulumi and Perplexity. Financially, Floqer reported 8x revenue growth year to June and annual recurring revenue exceeding $1 million. Following the funding, the company’s primary focus is enhancing its autonomous knowledge-base product, which the founders say is already functional and capable of identifying previously hidden customer patterns.

Participated · Series A · Feb 2026

Founded in 2024 and headquartered in San Francisco, NationGraph makes public sector data accessible and actionable for suppliers targeting cities, counties, state agencies, schools, and special districts. The company indexes information from roughly 110,000 government entities across about four million websites and applies AI reasoning to surface actionable insights. Its core offerings include Signals, which predicts upcoming government purchasing decisions; Public Record Request Automation, which automates data extraction and delivery; and Contacts, which identifies and verifies relevant government buyers. NationGraph’s platform pushes structured intelligence directly into customers’ existing sales workflows, reducing research time and improving bid accuracy. Led by CEO Kimia Hamidi and CTO Eden Ding, the startup plans to expand data coverage, strengthen its Signals engine, and enhance user experience. To date, it has secured $22.5 million in total funding, underscoring investor confidence in its mission to streamline public-sector sales.

Participated · Series A · Nov 2025

Sim.ai is developing a platform for autonomous “agentic” AI that can reason, plan, and carry out end-to-end work with minimal human supervision. A graduate of Y Combinator’s X25 batch, the startup aims to let AI agents integrate deeply with business tools to handle research, operations, sales, and customer support processes. Its approach, dubbed “simulation-driven intelligence,” teaches agents through iterative trial, correction, and interaction with their environment instead of relying on static training data. Early traction has come from teams looking to automate knowledge work without rigid rule-based systems. Financially, the company has just secured a $7 million Series A round, underscoring investor confidence in the agentic-AI category. The new capital will be directed toward expanding the engineering team, accelerating platform development, and driving broader enterprise adoption.