Frontier AI Model for Indian Power Grid Analytics

Domain-specific models built for how the grid actually works — SLDC telemetry, IEX markets, fuel-mix accounting and forecasting. Hosted in India, priced in rupees, better for Indian DISCOMs.

Talk to us Try in Grid AI Read API docs

Purpose-built models

100%

Hosted in India

+12^*pts

Domain lead vs best global

200^*K

Max context window

^* Conditions apply.

Three models, one grid

Start on DailyUse — the general-purpose model powering Grid AI today. Step up to Ganga for forecasting or Yamuna for engineering analysis when the work gets specialised.

DailyUse

Available · Default

General grid

General-purpose model for the Indian power grid. Fast, precise at fetching and reasoning over live grid data. Powers Grid AI today.

Images: —
Forecasting: Basic
Context: 128K
Input: ₹12 / M
Output: ₹48 / M

per 1M tokens · free to try in Grid AI

Grid data retrieval
Tariff & market Q&A
Live status lookups

Try in Grid AI

Gangav1.0

Enterprise

Timeseries & forecasting

Purpose-built for timeseries and forecasting — load, price, generation and net-load horizons. Accepts images.

Images: Yes
Forecasting: Native
Context: 200K
Input: ₹60 / M
Output: ₹180 / M

per 1M tokens · committed-use from ₹1,50,000 / mo

Load & price forecasting
Anomaly detection
Scenario runs

Request access

Yamunav0.9

Preview · Enterprise

Engineering analysis

Built for engineering analysis — network, protection and planning studies. Reads diagrams, single-line drawings and plots.

Images: Yes
Forecasting: Supported
Context: 200K
Input: ₹90 / M
Output: ₹240 / M

per 1M tokens · preview access by request

SLD & diagram reading
Load-flow reasoning
Study review

Join preview

Compare the models

	DailyUse	Ganga v1.0	Yamuna v0.9
Focus	General grid	Timeseries & forecasting	Engineering analysis
Image input	—	Yes	Yes
Forecasting	Basic	Native	Supported
Context window	128K	200K	200K
Availability	Default	Enterprise	Preview
Input ₹ / 1M tokens	₹12	₹60	₹90
Output ₹ / 1M tokens	₹48	₹180	₹240
Data residency	India	India	India

Domain performance^*

Scored on Indian grid tasks against frontier and Indian models. Higher is better unless a row is marked otherwise.

Task	DailyUse	Ganga	GPT-4o	Claude	Sarvam
Grid data retrievalexact-match %	93	95	79	81	71
SLDC / POSOCO terminologyaccuracy %	91	92	74	77	80
Tariff & regulatory QAaccuracy %	88	90	80	83	72
Fuel-mix & carbon reasoningaccuracy %	86	94	78	80	68
Load forecast errorMAPE %, lower is better	4.9	3.8	7.1	6.8	8.4

^* Conditions apply.

Cost, in rupees^*

List price per 1M tokens. Blended assumes a 3:1 input-to-output mix — a domain-tuned model that answers in fewer tokens costs less per task, not just per token.

Model	Input / M	Output / M	Blended / M	Hosting
Grid AI DailyUse	₹12	₹48	₹21	India
Grid AI Ganga v1.0	₹60	₹180	₹90	India
OpenAI GPT-4o	₹210	₹840	₹368	US / global
Anthropic Claude Sonnet	₹250	₹1,250	₹500	US / global
Sarvam Sarvam-M	₹40	₹120	₹60	India

^* Conditions apply.

An Indian frontier, built for Indian discoms

Data residency

Runs inside India. On-prem deployments keep DISCOM data behind your own firewall — nothing leaves the country.

Domain-tuned

Trained on SLDC, POSOCO, CEA and IEX vocabulary and the real structure of the Indian grid — not a generic model with a prompt.

On-premise option

Air-gapped, self-hosted deployment for DISCOMs and utilities, with a monthly model-update service included.

INR-native

Billed in rupees with a GST invoice. No FX surprises, no overseas billing, committed-use discounts for volume.

Questions

Do you offer on-premise, self-hosted deployment for DISCOMs?

Yes. We deploy Ganga and Yamuna inside a DISCOM's own datacentre or private cloud — air-gapped if required — with a monthly model-update service that ships refreshed weights and India-grid data. Data never leaves your environment. Write to us below for a scoping call.

Why is this better than OpenAI or Claude for Indian grids?

Domain tuning plus India hosting. On our IndiaGrid-Eval suite the models lead global frontier models by 10–15 points on grid-data retrieval, SLDC/POSOCO terminology and fuel-mix reasoning — at a fraction of the token cost, with data that stays in India.

Is my data used to train the models?

No. Enterprise and on-prem traffic is never used to train shared models. On-prem deployments are fully isolated — your prompts, telemetry and documents stay inside your network.

Which model should I start with?

DailyUse for general Q&A and live data retrieval — it powers Grid AI today and is free to try. Ganga v1.0 for forecasting and timeseries work. Yamuna v0.9 for engineering and diagram analysis.

Do the models accept images?

Ganga v1.0 and Yamuna v0.9 accept images — single-line diagrams, network drawings, charts and scanned reports. DailyUse is text-only.

How is it priced, and in what currency?

Per token, in Indian rupees, billed monthly with a GST invoice — no FX surprises. Committed-use and volume discounts apply for enterprise; on-prem is an annual licence with the monthly update service included. DailyUse is free to try inside Grid AI.

What context window and languages are supported?

Up to 200K tokens on the enterprise models. English plus major Indian languages for grid terminology and mixed-script documents.

What do enterprise access and SLA include?

A dedicated endpoint, a 99.9% uptime SLA, priority support and a named solutions engineer. Start with the form below and we respond within one working day.

Talk to us

Evaluating models for a DISCOM, utility or product? Tell us the use case and volume — we'll set up a trial key or an on-premise scoping call, and reply within one working day.

Trial API keys for cloud evaluation
On-premise, self-hosted deployment with monthly updates
Enterprise SLA, committed-use pricing in INR

Frontier AI Model for Indian Power Grid Analytics

Domain-specific models built for how the grid actually works — SLDC telemetry, IEX markets, fuel-mix accounting and forecasting. Hosted in India, priced in rupees, better for Indian DISCOMs.

Talk to us Try in Grid AI Read API docs

Purpose-built models

100%

Hosted in India

+12^*pts

Domain lead vs best global

200^*K

Max context window

^* Conditions apply.

Three models, one grid

Start on DailyUse — the general-purpose model powering Grid AI today. Step up to Ganga for forecasting or Yamuna for engineering analysis when the work gets specialised.

DailyUse

Available · Default

General grid

General-purpose model for the Indian power grid. Fast, precise at fetching and reasoning over live grid data. Powers Grid AI today.

Images: —
Forecasting: Basic
Context: 128K
Input: ₹12 / M
Output: ₹48 / M

per 1M tokens · free to try in Grid AI

Grid data retrieval
Tariff & market Q&A
Live status lookups

Try in Grid AI

Gangav1.0

Enterprise

Timeseries & forecasting

Purpose-built for timeseries and forecasting — load, price, generation and net-load horizons. Accepts images.

Images: Yes
Forecasting: Native
Context: 200K
Input: ₹60 / M
Output: ₹180 / M

per 1M tokens · committed-use from ₹1,50,000 / mo

Load & price forecasting
Anomaly detection
Scenario runs

Request access

Yamunav0.9

Preview · Enterprise

Engineering analysis

Built for engineering analysis — network, protection and planning studies. Reads diagrams, single-line drawings and plots.

Images: Yes
Forecasting: Supported
Context: 200K
Input: ₹90 / M
Output: ₹240 / M

per 1M tokens · preview access by request

SLD & diagram reading
Load-flow reasoning
Study review

Join preview

Compare the models

	DailyUse	Ganga v1.0	Yamuna v0.9
Focus	General grid	Timeseries & forecasting	Engineering analysis
Image input	—	Yes	Yes
Forecasting	Basic	Native	Supported
Context window	128K	200K	200K
Availability	Default	Enterprise	Preview
Input ₹ / 1M tokens	₹12	₹60	₹90
Output ₹ / 1M tokens	₹48	₹180	₹240
Data residency	India	India	India

Domain performance^*

Scored on Indian grid tasks against frontier and Indian models. Higher is better unless a row is marked otherwise.

Task	DailyUse	Ganga	GPT-4o	Claude	Sarvam
Grid data retrievalexact-match %	93	95	79	81	71
SLDC / POSOCO terminologyaccuracy %	91	92	74	77	80
Tariff & regulatory QAaccuracy %	88	90	80	83	72
Fuel-mix & carbon reasoningaccuracy %	86	94	78	80	68
Load forecast errorMAPE %, lower is better	4.9	3.8	7.1	6.8	8.4

^* Conditions apply.

Cost, in rupees^*

List price per 1M tokens. Blended assumes a 3:1 input-to-output mix — a domain-tuned model that answers in fewer tokens costs less per task, not just per token.

Model	Input / M	Output / M	Blended / M	Hosting
Grid AI DailyUse	₹12	₹48	₹21	India
Grid AI Ganga v1.0	₹60	₹180	₹90	India
OpenAI GPT-4o	₹210	₹840	₹368	US / global
Anthropic Claude Sonnet	₹250	₹1,250	₹500	US / global
Sarvam Sarvam-M	₹40	₹120	₹60	India

^* Conditions apply.

An Indian frontier, built for Indian discoms

Data residency

Runs inside India. On-prem deployments keep DISCOM data behind your own firewall — nothing leaves the country.

Domain-tuned

Trained on SLDC, POSOCO, CEA and IEX vocabulary and the real structure of the Indian grid — not a generic model with a prompt.

On-premise option

Air-gapped, self-hosted deployment for DISCOMs and utilities, with a monthly model-update service included.

INR-native

Billed in rupees with a GST invoice. No FX surprises, no overseas billing, committed-use discounts for volume.

Questions

Do you offer on-premise, self-hosted deployment for DISCOMs?

Why is this better than OpenAI or Claude for Indian grids?

Is my data used to train the models?

No. Enterprise and on-prem traffic is never used to train shared models. On-prem deployments are fully isolated — your prompts, telemetry and documents stay inside your network.

Which model should I start with?

DailyUse for general Q&A and live data retrieval — it powers Grid AI today and is free to try. Ganga v1.0 for forecasting and timeseries work. Yamuna v0.9 for engineering and diagram analysis.

Do the models accept images?

Ganga v1.0 and Yamuna v0.9 accept images — single-line diagrams, network drawings, charts and scanned reports. DailyUse is text-only.

How is it priced, and in what currency?

What context window and languages are supported?

Up to 200K tokens on the enterprise models. English plus major Indian languages for grid terminology and mixed-script documents.

What do enterprise access and SLA include?

A dedicated endpoint, a 99.9% uptime SLA, priority support and a named solutions engineer. Start with the form below and we respond within one working day.

Talk to us

Evaluating models for a DISCOM, utility or product? Tell us the use case and volume — we'll set up a trial key or an on-premise scoping call, and reply within one working day.

Trial API keys for cloud evaluation
On-premise, self-hosted deployment with monthly updates
Enterprise SLA, committed-use pricing in INR

Frontier AI Model for Indian Power Grid Analytics

Three models, one grid

Compare the models

Domain performance*

Cost, in rupees*

An Indian frontier, built for Indian discoms

Data residency

Domain-tuned

On-premise option

INR-native

Questions

Talk to us

Frontier AI Model for Indian Power Grid Analytics

Three models, one grid

Compare the models

Domain performance*

Cost, in rupees*

An Indian frontier, built for Indian discoms

Data residency

Domain-tuned

On-premise option

INR-native

Questions

Talk to us

Domain performance^*

Cost, in rupees^*

Domain performance^*

Cost, in rupees^*