"Streamline software implementations with AI agents that gather requirements and transform data for you."
TL;DR Cleon captures knowledge during the planning and discovery phase, automates the generation of key artifacts and documentation, and feeds that context to teams of AI agents for complex data migrations - pulling in a human when needed.
Hi everyone! Meet Ricardo, Rohan and Alexandros. They're building Cleon — an end-to-end AI software implementation platform.
The Problem
Software implementations are a resource drain and revenue bottleneck for SaaS companies and system integrators:
Misalignments between stakeholders delay project kick-off.
Shifting requirements force implementation teams to constantly re-write SOWs and BRDs.
Bespoke, manual data transformation is time-consuming and error-prone.
The Solution
An AI-native platform that proactively guides you through implementations, from signature to go-live:
Implementation Source of Truth: Cleon captures information from customer calls, emails and internal communication channels to track evolving requirements.
AI-Generated Documentation: Cleon agents generate SOWs, BRDs and PRDs on your behalf with full knowledge about each customer.
Auditable, AI-Powered Data Transformation: Cleon indexes complex datasets and transforms them to your schema with a clear audit trail, so that you can trust the outputs.
Human Approval - Only When Needed: Each implementation is unique, so at Cleon they use human-in-the-loop workflows to handle edge cases.
Why are the founders building this?
They’ve witnessed first-hand how long implementation cycles can delay ROI for customers.
At Palantir, Ricardo saw enterprise implementations that took anywhere from months to years.
Rohan previously worked at a fintech startup with 3-9 month customer implementation timelines. He also spent time building AI agents for SAP custom code modernization.
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