Participated · Seed · Jul 2026

Brekfuz builds an AI-native coordination platform that unifies fragmented organisational information across tools like Slack, email, meeting notes, documents, GitHub repositories and project management systems. The platform automatically maps ownership, responsibilities and domain expertise to create a structured, searchable knowledge layer that links answers to original source material. Users and AI systems can pose natural-language queries across integrated enterprise systems to retrieve context-backed answers, reducing reliance on individual employees and repetitive status meetings. Brekfuz aims to eliminate knowledge silos, speed decision-making, and improve operational efficiency as organisations adopt AI across workflows. The company positions itself as foundational infrastructure for the AI-first workplace and intends to use recent funding to enhance its product, platform and expansion efforts. Brekfuz was co-founded by Arhan Singhal and Sarthak Ahuja.

Led · Series A · Oct 2025

Lila Sciences develops an AI-driven platform that trains models on scientific literature across material sciences, chemistry and life sciences and generates experimental hypotheses. The company pairs those model outputs with laboratory setups to experimentally validate and close the loop between prediction and reproducible results. Reporting says Lila aims for a domain‑crossing, general-purpose science enablement stack rather than narrowly focused tools. Financially, it has completed a reported $200 million seed, emerged from stealth last year, and closed a $350 million Series A in October that lifted its valuation above $1.3 billion. Current reporting describes Lila negotiating an approximately $2 billion financing to scale compute, inference and laboratory capacity and to accelerate partner programs. The firm's growth narrative emphasizes standardizing experiment and feedback loops to make discovery repeatable and scalable.