Mayura provides an on‑premises AI platform that runs continuously on a company’s own hardware, keeping all data inside the corporate firewall and eliminating per‑token usage fees. The system ingests enterprise data, builds persistent contextual memory, and deploys autonomous agents that monitor, analyze, and surface insights at flat‑rate cost, enabling regulated organizations to scale AI without cloud dependency.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises with sensitive or high‑volume data cannot use cloud‑based AI because legal and compliance rules forbid sending private information off‑site, and the per‑token pricing of SaaS AI services makes large‑scale processing prohibitively expensive.
Solution
Mayura delivers a sovereign intelligence platform that runs continuously on the customer’s own hardware, keeping all data inside the corporate firewall while eliminating usage‑based fees. The system ingests enterprise data, builds persistent contextual memory, and deploys autonomous AI agents that monitor, analyze, and surface insights 24/7 without human prompting. By using edge‑deployed large language models and event‑driven processing, Mayura provides flat‑cost, always‑on intelligence that can be installed in minutes and scales without additional licensing charges. Customers retain full control of the infrastructure, data, and models, and Mayura’s playbooks and accelerators enable production‑ready AI workflows to be shipped in weeks rather than months.
Target Audience
Primary customers are large enterprises and regulated organizations—such as financial services, healthcare, manufacturing, and government agencies—that need to process sensitive data on‑premises and want to embed scalable AI without ongoing cloud usage costs.
Features
- Edge‑first deployment on existing Linux servers or dedicated appliance, with no cloud dependency or telemetry
- Continuous intelligence engine with autonomous AI agents that react to events, monitor streams, and generate proactive alerts
- Knowledge layer that creates persistent, searchable memory and correlation chains for every enriched data point
- Collaboration layer that coordinates human users and agent‑to‑agent communication, surfacing results to the right stakeholders at the right time
- Flat‑rate licensing model that removes per‑token, per‑call, or per‑document fees, enabling unlimited processing volume
- Built‑in event sourcing and replay capability for auditability and model updates without re‑ingesting data
- Enterprise‑grade lifecycle management, including automated updates, rollback, backup, and a web UI for operators