Construction supply, industrial parts, insurance, and healthcare often struggle with fragmented software systems and complex, high-volume processes that require expert human intervention. InstaLILY’s InstaWorkers™ changes the game by autonomously executing end-to-end workflows inside ERPs, CRMs, and other enterprise systems.
Today, InstaLILY AI announced the completion of a $25 million Series A round, led by Insight Partners with participation from Perceptive Ventures and Marvin Ventures. The funding will accelerate the company’s mission to transform operational workflows in distribution-heavy industries through its unique vertical AI platform, which deploys domain-trained autonomous agents.
Empowering humans with AI teammates
Founded by former McKinsey executive Amit Shah and COO Sumantro Das, InstaLILY is guided by a vision to augment human capacity rather than replace it. The platform is already deployed by high-profile customers, including a multi-billion-dollar construction supply distributor and global OEM service organisations, delivering measurable gains in efficiency and operational agility.
Shah clarifies, “We kept hearing the same thing: AI copilots are useful, but they don’t do the work. InstaWorkers™ are different. They’re AI Teammates: built to execute, not just suggest next steps. That’s the promise of Code-as-Work: AI that radically expands human capacity, not replaces it.”
InstaWorkers™ autonomously navigate complex, fragmented legacy systems without requiring costly IT rip-and-replace projects. This deep integration differentiates InstaLILY from horizontal AI platforms that offer only surface-level automation or task suggestions. The platform features intelligent workflow execution with options for human-in-the-loop oversight, enabling enterprises to maintain control while scaling AI adoption.
What’s next?
With this new capital, InstaLILY will expand its catalogue of InstaWorkers™ across additional verticals and deepen integration support with popular enterprise systems.
The company is advancing multimodal AI features, including voice and video processing, to unlock new AI-human collaboration scenarios in field service, contact centres, and beyond. Security, compliance, and reliability remain top priorities for the safe deployment of AI in mission-critical environments.
