Birla AI Labs · Frontiers & DeepTech Lab

Predict the Future.
Powered by Foundational Models.

State-of-the-art time series AI in one professional workspace. Upload your data. Get production-grade forecasts in seconds.

Chronos-2 · Base · Monthly
RMSE: 1.24MAPE: 3.8%COV: 81%
Actuals Forecast 95% CI
Powered by State of the Art Foundational Models
Enterprise Partners
UltraTech CementDemand forecasting·Multi-regionLive
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UltraTech CementDemand forecasting·Multi-regionLive
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UltraTech CementDemand forecasting·Multi-regionLive
Coming Soon2025
UltraTech CementDemand forecasting·Multi-regionLive
Coming Soon2025

Three things most forecasting
stacks get wrong.

We got them right.

01

One workspace, every model
no duct tape.

Traditional forecasting means juggling notebooks, spreadsheets, and disconnected models. Upload data, select a model, and get results — without writing a line of code.

02

Foundation models,
not just ARIMA.

Zero-shot forecasting accuracy from the same models used by world-class research teams. Chronos, TimesFM, Moirai, and more. No ML expertise required to get production-grade results.

03

Ask your data
anything.

The built-in AI Forecast Agent has full context of your data and model run. Ask why MAPE is high in Q4 or what is driving an upward trend and get expert-level answers instantly.

Platform or partnership you choose.

Access our models directly through the app and API, or bring in the Birla AI Labs team for an end-to-end engagement.

Platform

Birla Forecasting App

A self-serve AI forecasting platform. Upload your data, choose a model, and get production-ready forecasts. No ML expertise required.

Visual dashboard — upload, run, explore, export
Developer REST API for pipeline integration
AI agent for natural language forecast queries
10+ state-of-the-art foundation models
Enterprise-grade data security and residency
Self-serve · UI and API access
Consulting

B2B Advisory Engagements

For enterprises with complex, high-stakes forecasting challenges, our team works alongside yours to design, build, and deploy tailored solutions.

End-to-end forecasting solution design
Custom model selection and fine-tuning
Data pipeline and integration support
Ongoing performance monitoring
Dedicated Birla AI Labs research team
Bespoke · Managed engagement

From crop yields to energy grids.

If it has a date column, we can forecast it.

Supply Chain

SKU-level demand forecasting

Operations

Predictive maintenance

Environment

Weather and climate indicators

Energy

Load and price forecasting

Finance

Financial and market forecasting

Public Sector

Healthcare and epidemiology

Agriculture

Crop yield and agri-commodities

Logistics

Supply chain and route planning

Our forecasting platform. App and API.

Every enterprise partnership runs on the same platform. Where our research ships, moving from problem to live forecasts in weeks, not quarters.

Forecast
AI Agent
Developer API

One system. Three surfaces.

The platform is how our research ships. For enterprise teams that want self-serve access alongside a partnership, it’s available as a standalone product too.

Surface 01
Visual application
Upload data, run forecasts, explore results — no code required.
Surface 02
Developer API
Clean REST endpoints for pipeline integration and automation.
Surface 03
AI forecasting agent
Ask questions in plain English; get interpretable forecasts back.
Layer
Enterprise security
Secure mode keeps data in-browser. On-prem deployment available.
Foundation models available on the platform
chronos-2timesfm-2moirai-2tabpfn-tsbharat-tsfmchronos+ more

Have a forecasting problem worth solving?

If there is a time-series decision driving real operational or financial stakes in your business, we would love to hear about it. Book a 30-minute intro call. No decks, no pitch, just a conversation.

Contact Us
What to expect
  • 01
    A conversation, not a pitch
    Tell us about the forecasting problem. We will tell you honestly whether we can help.
  • 02
    A live look at the platform
    We walk through how forecasts are generated, explored, and shipped into production systems.
  • 03
    A concrete next step
    If there is a fit, we propose a short discovery sprint to prove out feasibility on your real data.