AI for HR tech in India

HR teams and HR-tech products in India draft an enormous amount of repetitive text — job descriptions, interview questions, policy answers, performance-review language — and a language model can take the first pass on most of it. unoblox gives HR and people teams one rupee-billed, OpenAI-compatible endpoint for GPT, Claude, DeepSeek, Qwen and more, with a GST tax invoice issued at each top-up instead of a foreign-currency subscription per tool.

Where HR teams actually plug this in

The practical uses are drafting and summarising: writing a first draft of a job description from a few bullet points, summarising a resume against a role's requirements for a recruiter to review, generating candidate-neutral interview questions for a panel, answering common HR-policy questions in a chatbot, and helping a manager phrase performance-review feedback more clearly. A recruiter or manager makes every actual decision — unoblox has no scoring or shortlisting logic built in.

Choosing a model at HR volumes

Model	₹ / 1M input	₹ / 1M output	Typical use
qwen/qwen3.8-27b	0 (free)	0 (free)	Free pilot for a policy FAQ bot
deepseek-ai/deepseek-v4-flash	9.11	18.21	High-volume resume summarisation
google/gemma-4-31b-it	20.24	40.48	JD drafting, interview-question generation
openai/gpt-5-mini	25.30	202.46	Production-quality policy chatbot

More OpenAI, Anthropic and open-weight models are on the platform with live pricing at /models.

Multilingual employee communication

India's workforce often needs HR communication in more than English and Hindi — a policy summary might need to go out in Tamil, Bengali or Marathi. Use a general multilingual model such as qwen/qwen3-235b-a22b-instruct-2507 or meta-llama/llama-4-scout-17b-16e-instruct for the first draft, and route it through someone fluent in that language before it's sent company-wide.

A sample call

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-4-31b-it",
    "messages": [{"role": "user", "content": "Draft a job description for a backend engineer from these five bullet points."}]
  }'

Being careful about what this shouldn't do

A resume summary or a suggested interview question is a starting point, not a hiring decision, and unoblox does not claim any bias-testing or compliance certification for HR use — that responsibility stays with your process and your legal team. On data: only the free qwen/qwen3.8-27b model runs on infrastructure unoblox controls; other models run on their original providers' infrastructure outside India, so treat candidate PII accordingly.

Frequently asked questions

Can this screen or shortlist candidates automatically? No. It can summarise a resume against a role for a recruiter to review, but the decision stays with your team.

Is candidate data stored in India? Only for the free qwen/qwen3.8-27b model. Other models run on their original providers' infrastructure outside India.

Which model should we use for regional-language employee communication? A general multilingual model such as Qwen3 235B-A22B or Llama 4 Scout, reviewed by a fluent speaker before company-wide use.

Is there a free tier to try before we commit budget? Yes, qwen/qwen3.8-27b is free to call for prototyping.

Can we switch models later without redoing our integration? Yes, every model sits behind the same base URL and key, so switching is a one-line change.

How is this billed for an HR software budget? In rupees, with a GST tax invoice issued at each top-up with input tax credit claimable, covering every model used.

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