We automate system definition—including rules, regulations, and AI logic—to eliminate costly errors from fragmented inputs, giving engineering leaders clarity, control, and compliance at scale
Current Status
We have several teams using the system as paid POC, as design partners and start of a freemium model.
We are working with insurance, banking, defense type clients.
We have partnerships with IBM and other local SIs
Problem or Opportunity
Companies typically manage the “System Definition” process manually, relying on fragmented inputs from product teams, analysts, compliance, developers, QA, DevOps, and customer experience. These inputs are manually consolidated to describe the end-to-end system, often resulting in overlooked implications and error-prone updates. This manual approach slows development and increases the risk of costly mistakes.
Solution (product or service)
Provengo uses AI and formal methods to transform fragmented, manual system definitions into precise, executable and verifiable models. It not only automates validation, traceability, and test generation - but also automates the model itself, enabling rapid adaptation to change. By aligning product, compliance, and engineering inputs, Provengo significantly improves KPIs like delivery speed, quality, and system correctness while reducing rework and human error across the SDLC.
Business model
Monthly payment, based on 12/36 months contract
We charge for licenses – base license payment for the engine and on top of that per user.
We are currently evaluating a partnership with a Broadcom solution that will charge by executions (monthly bulks of up to 50K executions)
