Enterprise AI PlatformQuanta brings together agents, workspaces, models, MCP tools, integrations, roles, auditing and consumption in a private environment operated by PRAKTON.
Quanta enables AI to be deployed as an enterprise capability: controlled by technology, useful to the business and ready to scale across departments, countries and processes.
It is not a collection of disconnected tools. It is a shared layer for experience, integration, security and operations.
Define who has access, which models they use, which tools they can run, how much they consume and which activity must be audited.
Control planeIdentity · Policies · Consumption · AuditData, documents, ERP, CRM, cloud and proprietary applications through MCP and APIs.
Private and public models selected by privacy, cost, latency, context and quality.
A layered architecture separates experience, governance, integration, inference and data, allowing each component to evolve without losing control.
Each deployment combines agents, tools and sources adapted to the language and operations of the industry.
Connect catalogue, stock, orders, technical documentation, logistics and support in one governed experience.
02 · TradingProcess time series, backtesting, signals and large volumes of information using private compute capacity.
03 · HotelsAssistants for reservations, front desk, revenue, maintenance, housekeeping and internal knowledge.
Quanta runs on cloud and GPU capacity operated by PRAKTON, with distributed processing, node-based growth and managed services for critical environments.
Resources sized according to models, concurrency, context, latency and expected growth.
New nodes and services strengthen continuity, scalability and processing proximity.
Monitoring, security, backup, recovery, capacity and platform evolution.
We review use cases, data, integrations, security, infrastructure and operating model to build a concrete proposal.