Sarvam AI is betting on Indic models and products with IndiaAI Mission compute turning into possible 1–2% Centre equity; Krutrim, India’s first GenAI unicorn, pivoted to AI cloud, reporting ~₹300 Cr FY26 revenue and first profit while pausing chips and foundation models. Choose by workload: models vs GPUs — not by who shouted “sovereign” louder in 2024.
Both companies sold “India’s AI.” Only one is still primarily selling models. If you are a founder writing an RFQ this quarter, nationalism is not a vendor-selection criterion. Unit economics and roadmap honesty are.
What Changed
- Sarvam: ongoing ~$300M raise near $1.5B valuation; Mission CCDs may yield Centre 1–2% stake (news brief).
- Krutrim: late-2025 realignment to AI cloud; ~₹300 Cr FY26 revenue; first net profit; chips/models de-prioritised (pivot brief).
- Enterprise buyers now split “Indic model API” and “India GPU cloud” into different line items.
- Related: Q1 funding concentration, AI Readiness Audit.
The Details
Founder comparison table
| Dimension | Sarvam AI | Krutrim |
|---|---|---|
| Primary 2026 bet | Foundation models + vertical products | AI cloud / GPU infrastructure |
| Headline financing | ~$300M round / ~$1.5B val (reported) | $50M at $1B (Jan 2024); now claims self-funding |
| FY revenue signal | ~₹45 Cr FY26 reported in secondary coverage (vs ~₹1.5 Cr FY25) | ~₹300 Cr FY26; PAT margin >10% |
| Gov / mission tie | Large IndiaAI compute allocation; CCD → equity path | Private/group-led; Ola ecosystem demand |
| Model roadmap | Active (Indic LMMs / enterprise apps) | Paused / de-prioritised per pivot coverage |
| Cloud / infra | Consumer of mission GPUs | Seller of AI cloud to 25+ enterprises (claimed) |
| Language story | Core product claim: Indic languages | Legacy model releases; cloud is the pitch now |
| Revenue quality flag | Growth from small base; watch enterprise mix | FY26 external vs group split undisclosed; FY25 ~90% group in earlier reports |
| Best fit | Indic LLM API, fine-tunes, regulated India apps | India-hosted GPU cloud, group-scale ops |
Numbers from public company statements and named press (ET, TechCrunch, Business Standard). Re-verify before procurement.
Pricing and API costs
Neither publishes a stable public “₹ per 1M tokens” card that founders should trust for 12-month budgets. Practical approach:
- Run a 72-hour bake-off on your top 20 prompts (Hindi + English + code).
- Measure cost per successful task, not sticker tokens.
- Add egress, fine-tune, and support fees.
- Require India region and log export in the order form.
Expect Indic-optimised APIs to win on quality-adjusted cost for Hindi/vernacular support workflows even when raw $/1M tokens look higher — test, don’t assume.
Enterprise customers
- Sarvam: Banking and defence-adjacent narratives in press; treat logos as sales claims until you get reference calls.
- Krutrim: 25+ enterprises across telecom, BFSI, healthcare claimed; validate whether your workload resembles Ola-group transfer pricing or true third-party SaaS.
Verdict by use case
| Use case | Pick | Why |
|---|---|---|
| Hindi/Indic customer support LLM | Sarvam-first | Active model roadmap |
| On-prem / India GPU capacity | Krutrim or hyperscaler bake-off | Cloud is Krutrim’s business now |
| PSU / mission-aligned narrative | Sarvam | IndiaAI equity precedent |
| Lowest diligence friction on revenue | Neither uncritically | Ask for audited external ARR |
| Fine-tune on proprietary BFSI data | Sarvam + your VPC | Model partner + residency |
| Multi-cloud inference gateway | Portkey-class + any model | Don’t marry one lab |
But here’s what others won’t tell you: “Indian LLM” is a marketing category, not an architecture. Many winning stacks will route Sarvam (or open-weight Indic fine-tunes) for language and keep training clusters on whatever cloud clears compliance — including Krutrim. For the global model layer on top, see Claude vs GPT for Indian enterprises. For CX automation vendors, see Yellow.ai vs Observe.AI.
We may earn a commission if you buy through partner links we add to future tool pages; disclosures will sit next to any affiliate CTAs. Today’s decision aid is the table above plus an AI Readiness Audit if you want a scored vendor memo.
What This Means for Founders Choosing a Partner
- Split the RFQ: Model quality vs cloud capacity — score separately.
- Demand external revenue split from any “profitable AI unicorn.”
- Model IndiaAI CCD risk if your partner’s cap table will include the Centre (Sarvam stake explainer).
- Budget a 2-week bake-off (₹1–3 lakh eng time) before annual commits.
- Book the AI Readiness Audit (₹4,999) for a 47-point scorecard across vendors.
Key Data Points
- Sarvam valuation context: ~$1.5B / ~$300M round (reported)
- Potential Centre stake via CCDs: 1–2%
- Krutrim FY26: ~₹300 Cr revenue, first profit, >10% PAT margin
- Krutrim 2024 raise: $50M at $1B
- Strategic fork: models (Sarvam) vs cloud (Krutrim)
Frequently Asked Questions
Who is better for Indic LLM APIs — Sarvam or Krutrim?
For active foundation-model and Indic product roadmaps, Sarvam is the clearer model partner in 2026. Krutrim has de-prioritised model building in favour of AI cloud — evaluate Krutrim primarily on GPU/cloud SLAs.
Is Krutrim still India’s AI unicorn to partner with?
Krutrim remains a capitalised cloud player with ~₹300 Cr FY26 revenue and first profit, but its late-2025 pivot paused chip and foundation-model push. Partner for infrastructure, not for a frontier-model roadmap.
Does government backing make Sarvam safer for enterprises?
IndiaAI Mission compute converting to a possible 1–2% Centre stake signals industrial-policy alignment — helpful for some PSU/defence-adjacent buyers, and an extra governance diligence item for others.
Can I use both Sarvam and Krutrim?
Yes. Common pattern: Sarvam (or other Indic models) for language tasks + Krutrim or hyperscaler GPUs for training/inference hosting. Dual-source like you would any critical vendor.
