AI API for BFSI in India
Deploy AI for banking, insurance & fintech with ₹-native billing, GST invoices, and an India-based gateway for fraud detection, KYC, claims.
AI for BFSI, billed and hosted the way Indian finance expects
Banks, insurers, and fintechs run intelligent automation—fraud detection, KYC verification, claims processing, customer support—across thousands of transactions a day. unoblox puts every major model (GPT-4.1, Claude, DeepSeek, Qwen) behind one OpenAI-compatible endpoint, with an India-based account, audit trail, and a monthly GST invoice.
Models for common BFSI workflows
| Task | Recommended model | Cost (₹ / 1M tokens, in / out) |
|---|---|---|
| Fraud detection | DeepSeek V3.2 | ₹26.21 / ₹38.30 |
| Document classification | Claude Sonnet | ₹201.6 / ₹1,008 |
| Customer KYC interview | GPT-4o | ₹252 / ₹1,008 |
| Claims triage | Qwen3 Max | ₹120.95 / ₹604.77 |
| Profile / document search (embeddings) | Qwen3 Embedding | ₹0 (freemium) |
Route high-volume, low-risk classification to a cheaper model and reserve a stronger model for the cases that need deeper reasoning—all on the same key and the same invoice.
Why BFSI teams choose unoblox
- ₹-native billing: one GST invoice, no international card, input tax credit claimable on the full spend.
- India-based gateway: your account, API keys, and audit logs sit on Indian infrastructure; self-hosted models (Qwen, Llama, Gemma) run inference on unoblox's own India GPUs, while proprietary models (GPT, Claude, DeepSeek) are billed and logged in India with computation handled by that model's own provider—the same as calling them directly, without the separate foreign account.
- One endpoint, every model: point your Python, Node, or Java client at
https://api.unoblox.ai/v1with a singleub-gw-…key, and switch models with a one-line change. - Compliance-ready operations: audit logs, role-based access, and key rotation from the admin console, so a security review has something concrete to look at.
Integration steps
from openai import OpenAI
client = OpenAI(
api_key="ub-gw-...",
base_url="https://api.unoblox.ai/v1"
)
response = client.chat.completions.create(
model="openai/gpt-4o",
messages=[{"role": "user", "content": "Summarize this claim for triage..."}]
)
Streaming, tool calls, and JSON mode all work unchanged, so a fraud-scoring or KYC pipeline built against the OpenAI SDK ports over with a base-URL and key change.
Frequently asked questions
Can I use unoblox for real-time KYC conversations? Yes—all models support streaming, and GPT-4o or Claude handle multi-turn KYC flows well. Latency depends on the model and prompt size, so benchmark your own flow before committing to production traffic.
Do you comply with RBI's guidelines? unoblox operates as an India-based entity with GST invoicing, and Indian-hosted accounts, logs, and self-hosted-model inference. For RBI or sector-specific questions relevant to your use case, contact sales@unoblox.ai for a security questionnaire—we'll walk through the specifics with your compliance team rather than make blanket claims here.
What happens if I hit rate limits? Your plan tier governs requests-per-minute and tokens-per-minute. For BFSI workloads with bursty traffic, budget a healthy monthly reserve and talk to us about a higher-throughput tier.
Can I trade off cost against accuracy? Yes. Use DeepSeek V4 Flash (₹9.07 / ₹18.14 per 1M tokens) for high-volume, low-risk tasks, and reserve Claude Opus or GPT-4o for the cases that need deeper reasoning.
How do I handle API key secrets? Store keys in a secrets manager (AWS Secrets Manager, Vault, or your own equivalent). unoblox supports key rotation, so you can retire a key without downtime.
Get started in rupees → https://unoblox.ai/sign-in
Start building in rupees
Call every major model through one OpenAI-compatible endpoint, billed in ₹ on a GST invoice.