AI for manufacturing in India

Manufacturing plants in India generate a steady stream of text that rarely gets the software attention it deserves — maintenance tickets, SOPs, quality reports, supplier emails. unoblox gives plant and engineering teams one rupee-billed, OpenAI-compatible endpoint for GPT, Claude, DeepSeek, Qwen, Llama and more, so this kind of tooling can be built and billed entirely in India.

Common manufacturing use cases for a language API

The clear wins are text-heavy and repetitive: summarising a maintenance ticket for a supervisor, turning a long SOP into a shorter checklist, drafting a quality or defect report from an engineer's rough notes, writing supplier follow-up emails, and generating boilerplate automation or scripting code for internal tooling. unoblox does not connect to a PLC, SCADA system or shop-floor machine directly — it's a text and reasoning API that your own systems call, with outputs reviewed before anything operational depends on them.

A coding-capable model for automation scripts

For teams writing scripts to glue together internal tools, log parsers, or automation checks, moonshotai/kimi-k2.7-code is the catalogue's coding-oriented model, priced at ₹68.5 per 1M input tokens and ₹342.7 per 1M output tokens. It's a reasonable first model to try for code generation and review before falling back to a general-purpose model.

Choosing a model by shift-floor volume versus engineering depth

Model	₹ / 1M input	₹ / 1M output	Typical use
qwen/qwen3-1.7b	0 (free)	0 (free)	Free pilot for a ticket-triage tool
deepseek-ai/deepseek-v4-flash	9.07	18.14	High-volume ticket and log summarisation
meta-llama/llama-4-scout-17b-16e-instruct	10.08	30.24	SOP and checklist summarisation
qwen/qwen3.8-27b	16.32	48.96	Vision — reading photos of defects or labels
moonshotai/kimi-k2.7-code	68.5	342.7	Automation and scripting assistance

Live pricing for the full catalogue is always on /models.

A sample call

from openai import OpenAI

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

ticket = client.chat.completions.create(
    model="deepseek-ai/deepseek-v4-flash",
    messages=[{"role": "user", "content": "Summarise this maintenance ticket into one line for a supervisor."}],
)

Being clear about data and control

Plant data can be commercially sensitive, so it's worth being precise: only the free, unoblox-hosted qwen/qwen3-1.7b model runs on infrastructure unoblox controls. The rest of the models above run on their original providers' infrastructure outside India — the benefit unoblox adds for those is rupee billing, one GST invoice and one endpoint, not data residency, and that distinction should factor into what you route where.

Frequently asked questions

Can this control machines or PLCs on the shop floor? No. It's a text and reasoning API; any operational action stays with your own automation and control systems.

Can it read a photo of a defective part or label? Only with a vision-capable model such as qwen/qwen3.8-27b, which accepts image input alongside text.

Is plant or production data hosted in India? Only for the free qwen/qwen3-1.7b model. Other models run on their original providers' infrastructure outside India.

Which model is best for writing automation scripts? moonshotai/kimi-k2.7-code is the catalogue's coding-oriented model; general-purpose models also handle simpler scripting tasks.

Is there a free way to pilot a ticket-summarisation tool? Yes, qwen/qwen3-1.7b is free to call.

How is this invoiced across multiple plants under one company? One monthly GST invoice in rupees, combining usage across every plant and model, with input tax credit claimable.

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