As enterprises move from experimenting with AI to demanding measurable outcomes, a new layer of infrastructure is beginning to take shape. AI Library is positioning itself at the center of that shift.
The company has raised $560K in a pre-seed funding round at a $7.5 million valuation cap, as it looks to deepen its product and expand its presence in the enterprise AI space.
Founded in November 2023 by Arani Chaudhuri, AI Library is building what it calls an outcome-based, AI-native software delivery model—focused not just on adoption, but on execution.
At its core, the platform is designed to automate the software delivery lifecycle using AI agents, supported by human oversight. The idea is to help enterprises move faster from concept to production, while keeping costs and complexity in check.
The company’s approach leans into a growing enterprise need: turning AI from a set of tools into a system that can consistently deliver business results across functions like finance, operations, sales, and support.
A key part of this stack is AI Library MCP—a unified infrastructure layer that acts as a central server for AI agents. By providing structured access to tools, data, and workflows, MCP removes the need for fragmented integrations across multiple systems. The goal is simple—reduce noise, improve reliability, and make enterprise AI deployments more predictable.
AI Library says this translates into faster time-to-production, more efficient delivery cycles, and systems that improve continuously over time—almost like a flywheel.
The startup is already seeing traction, with deployments across companies such as Tally, Times Group, Burger Singh, and DeKoder.
The fresh capital will go toward advancing product capabilities, investing in R&D, and scaling its market presence as it builds toward a more automated, outcome-led future of software delivery.
In a landscape crowded with AI tools, AI Library’s bet is clear: the real value lies not in access to AI, but in what it actually delivers.
-By Muskan Dengra
