AI Foundry
AI Foundry is where enterprise AI is built and operated. Agents that decide and act, conversational and custom agents, ML and forecasting models, vision and orchestration are created, deployed and governed as one fleet, grounded in enterprise context.
Modules
Business processes that run themselves, end to end.
Agents make complex decisions, integrate across systems and execute multi-step processes autonomously through domain-specific agentic flows, at parallel scale.
Chat and voice agents that resolve, human-like and low-cost.
Chat, voice and flow-driven agents hold natural, context-aware dialogue and complete tasks across channels, built without code and measured on success, cost and reach.
Describe the automation in plain English, get a governed working agent.
Agents are created from a plain-language description, with event monitoring, business rules and custom work instructions, through a governed draft-to-approved lifecycle.
Mission control for the AI agent fleet.
The whole agent fleet is built, deployed, operated and governed from one console, with fleet-wide success, cost and reach and operational governance at scale.
Multi-agent workflows, modelled visually and orchestrated end to end.
A visual modeler orchestrates multiple agents and connected processors for data, AI and integration into end-to-end automated flows, versioned and reusable.
From feature to production model, the whole ML lifecycle.
One studio runs projects, datasets and experiments, feature engineering, notebooks and AutoML, with one-click deployment and live model monitoring.
Time-series forecasting for any metric, accuracy tracked.
Forecasting projects auto-select the best algorithm across ingested sources, tracking forecast metrics and accuracy through guided, no-code wizards.
Anomalies caught the moment they appear.
Metrics are monitored continuously against learned baselines, with alerts, anomaly forecasts and automated actions, triaged system-wide.
Images and video into structured data, built as flows.
Vision processors for object, text, face and motion compose into no-code visual flows over images and video streams, deployed in real time.
Prompts as strategic assets, tested and certified.
A central prompt library tests, certifies and versions prompts with success-rate and execution metrics, keeping quality consistent across agents and flows.
An AI researcher that works the long task and delivers the report.
Goal-driven research runs long-horizon, multi-step tasks across enterprise data, cross-referencing and reasoning to report-grade deliverables, with resumable history.
How it works
Agents and models are built from enterprise context, orchestrated into flows, deployed and governed from one console, and measured on success, cost and accuracy in production.
AI Foundry builds, runs and governs the agents and models that make the enterprise intelligent.