Our Values
Structured Access to Forecasting Models
Expose time-series foundation models through a standardized interface for agents and LLM systems.
Temporal Reasoning as a Tool
Allow LLMs to call forecasting, simulation, and scenario tools directly within workflows.
Production-Ready Deployment
Secure HTTP endpoints with authentication, built for enterprise environments.
How it works
Agents send structured requests over MCP.
Nolano handles data parsing, model selection, reasoning, and response formatting.
LLM / Agent
Model Context Protocol
Nolano Forecast Models
Structured Outputs
Designed for Real-World Forecasting
Continuous Context
Agents ingest evolving signals like demand shifts, pricing changes, or macro trends.
Tool Awareness
Forecasts can trigger action, from inventory updates to alerts.
Closed-Loop Decisions
Predictions feed directly into systems, enabling automated workflows.
Composable by Design
Modular interfaces let agents plug into different data sources, tools, and workflows without rebuilding pipelines.
Start using Model Context Protocol
Use in Playground
Connect data and run contextual forecasts instantly.
Integrate with your stack
Deploy MCP into your applications with APIs and SDKs.