AI for insurance in India

Insurers and insurtech teams in India deal with claims notes, policy wordings and customer correspondence at a volume that makes drafting assistance genuinely useful — as long as it's clear what the model is doing and what it isn't. unoblox gives insurance teams one rupee-billed, OpenAI-compatible endpoint for GPT, Claude, DeepSeek, Qwen and more, with a monthly GST invoice instead of a foreign-currency subscription.

Where a language model fits in an insurance workflow

The realistic uses are drafting, not deciding: summarising a claims note for an adjuster, drafting a first-pass customer reply to a policy question, turning underwriting notes into a readable summary, and translating a policy explanation into a customer's preferred language. A human still reviews and approves anything that affects a claim outcome or a customer commitment — unoblox has no claims-decisioning logic of its own.

Matching model quality to how sensitive the task is

A policy FAQ chatbot answering "what does my plan cover" can run on a fast, inexpensive model; a claims-note summary that an adjuster will rely on is worth a stronger model, still checked by a person before it affects a decision.

Model	₹ / 1M input	₹ / 1M output	Typical use
qwen/qwen3-1.7b	0 (free)	0 (free)	Free prototyping for a policy FAQ bot
deepseek-ai/deepseek-v4-flash	9.07	18.14	High-volume FAQ drafting
qwen/qwen3-235b-a22b-instruct-2507	9.07	55.44	Multilingual claims-note summarisation
anthropic/claude-sonnet-5	201.6	1008	Careful underwriting or claims-language drafting

Anthropic also offers claude-opus-5, claude-haiku-4-5 and other Claude versions on unoblox; see live rates for each on /models.

A sample call

from openai import OpenAI

client = OpenAI(
    base_url="https://api.unoblox.ai/v1",
    api_key="ub-gw-xxxxxxxxxxxxxxxxxxxx",
)

summary = client.chat.completions.create(
    model="qwen/qwen3-235b-a22b-instruct-2507",
    messages=[{"role": "user", "content": "Summarise this claims note in plain English and Hindi."}],
)

Being straightforward about compliance and data

This page makes no claim about regulatory approval or certification — that assessment is your compliance team's to make, and unoblox's job is to be honest about the infrastructure underneath. Except for the free, unoblox-hosted qwen/qwen3-1.7b model, every model listed here runs on its original provider's infrastructure, not inside India. The India-specific benefit is rupee billing, one GST invoice and a single endpoint — not data residency — and that distinction matters more in insurance than almost anywhere else, so route accordingly.

Frequently asked questions

Can this approve or reject an insurance claim? No. It drafts and summarises text; the decision stays with your adjusters and existing claims systems.

Is policyholder data stored in India? Only for the free qwen/qwen3-1.7b model. Other models run on their original providers' infrastructure outside India — check this against your own data-handling policy before routing sensitive data.

Can we draft policy explanations in regional languages? Yes, with a general multilingual model, reviewed by someone fluent in that language before it reaches a customer.

Is there a free way to pilot a policy FAQ bot? Yes, qwen/qwen3-1.7b is free to call for prototyping.

Can we keep using our existing claims or CRM integration? Yes, since unoblox is OpenAI-compatible, most existing integrations only need the base URL and key changed.

How is this invoiced for an insurer's finance team? One monthly GST invoice covering every model used, in rupees, with input tax credit claimable.

Get started in rupees → https://unoblox.ai/sign-in