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Training time: 120 days → 30 days. Quote turnaround: 5-6 days → minutes. Revenue uplift: 10%. We covered Google DeepMind's case study on InstaLILY AI last week, and now our software engineer Dylan Wilbur, UCLA graduate with software engineering experience at NASA Jet Propulsion Laboratory, wants to take you deeper into the details: perfect if you haven't read the full writeup yet (full case study linked in the comments). #InstaLILYAI #AIAgents #EnterpriseAI #GoogleDeepMind Amit Shah Sumantro Das

Join us for a16z #SFTechWeek 2025 at the 4th edition of our signature Women in AI Coffee & Breakfast with Wilson Sonsini! Following packed events in New York and San Francisco, we’re excited to host another high-energy morning of community, conversation, and coffee spotlighting the builders and believers shaping the next wave of AI at the Digital Jungle SF. This isn’t your average breakfast. Expect a dynamic mix of lightning panels with investors, founders, and operators, discussions around newly launched products, newsworthy breakthroughs, and intimate roundtables focused on founder challenges, technical ideas, and cross-functional collaboration. Whether you're a founder, engineer, researcher, investor or curious, you'll leave inspired, connected, and caffeinated.

Your board wants an AI story. Your CFO wants a number. Most AI pilots deliver activity reports, not P&L impact. Lily™ starts with one P&L line, a baseline set with Finance and a scale-or-stop date, and logs every action she takes against it. A $500M+ fastener and construction products distributor grew revenue 12% year over year in 6 months.

Your reps lose the best hours of the day to quotes, follow-ups and CRM entry. Nobody counts it as work, and it never shows up in a report. Lily™ takes that work on inside the systems your team already uses, and puts the next best account in front of every rep each morning. A $10B+ distributor added $250M+ in revenue a year, with the same headcount.

Your product data is messy and your ERPs don't talk to each other, so most AI projects stall waiting on a cleanup that takes years. Lily™ works with the data you have, cleaning and categorizing it as she goes, so the work starts now. A $350M+ flow control distributor enriched 99K+ SKUs and recovered $491K in about 3 months.

Quote requests arrive as emails, PDFs and portal orders, and someone re-keys every one into the ERP. The first quote back usually wins, and yours is still in the inbox. Lily™ reads each request, drafts the quote and routes it for review. Your team handles the exceptions instead of the typing. A $600M+ distributor saved 11,000+ hours a year on RFQs, with results in 2 months.