Never.
Your prompts are not training data — there is no training pipeline, and content logging is off unless your org turns it on, enforced at the edge.
India's sovereign AI inference — DPDP compliant, zero retention by default. Explore models →
| Model | Context | Capabilities | Input ₹/1M | Output ₹/1M |
|---|---|---|---|---|
| tm/glm-5-3Z-AI | 1M | Chat · Code | 157.65 | 472.96 |
| tm/kimi-k3MoonshotAI | 256K | Chat · Code | 105.10 | 420.41 |
| tm/minimax-m3MiniMax | 1M | Chat · Code · Vision | 42.04 | 210.21 |
| tm/deepseek-v4-proDeepSeek | 1M | Chat · Code | 183.93 | 367.86 |
| tm/deepseek-v4-flashDeepSeek | 1M | Chat | 15.77 | 31.53 |
Per million tokens, exclusive of GST. 4 more models in the full catalogue. New models land on the same endpoint — your integration doesn't change.
Full catalogue →Both wire formats are served — your SDK, prompts and streaming code keep working.
from openai import OpenAI client = OpenAI( api_key=os.environ["TENSORMACHINE_API_KEY"], base_url="https://edge.tensormachine.ai/v1",) client.chat.completions.create( model="tm/kimi-k3", messages=[{"role": "user", "content": "Namaste"}],)Never.
Your prompts are not training data — there is no training pipeline, and content logging is off unless your org turns it on, enforced at the edge.
Inside.
Every request is answered from India-region compute — residency is a guardrail in the request path, not a policy clause.
Same list.
Localisation rules usually shrink your shortlist; here the frontier models and the residency requirement are the same list.
Aligned with
The infrastructure certifications above are held by AWS for its Mumbai region. Tensor Machine does not itself hold these certifications yet.
AI infrastructure that fits an Indian budget process — not a dollar charge your finance team explains every month.
Tax invoice
TM/2026-27/000318
Kimi K3
8M in · 2M out
₹1,681.62
GLM-5.3
4M in · 1M out
₹1,103.56
SAC 998314 · Place of supply: Karnataka · Rates from the live catalogue
Regulated enterprises
Deploy AI in BFSI, insurance, healthcare and government without the cross-border data-transfer review attached to it.
Builders
Start on the free tier, ship on the same endpoint, and pay in rupees when you scale. No procurement call required.
Announcement · Jan 2026
After two years of building in stealth, India's first dedicated sovereign AI inference platform is live today. No prompt data leaves Indian borders. No foreign exchange markup. No DPDP grey areas. Here is what we built, and why it matters for Indian enterprises right now.
Analysis · Dec 2025
We modelled the total cost of AI inference for a mid-sized Indian SaaS company processing one billion tokens per month. US-based providers cost ₹80 lakhs all-in once you account for FX exposure, GST reverse charge, and compliance overhead. The same workload on Tensor Machine costs ₹18 lakhs. Here is the full breakdown.
Compliance · Dec 2025
India's Digital Personal Data Protection Act 2023 has direct implications for any product that processes personal data through AI inference. Most engineering teams do not know where their prompts go, who processes them, and whether they qualify as personal data under Indian law. This guide breaks it down in plain terms.
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