Northeast India

AI Evaluation & Red Teaming across Assam

Adversarial testing and evaluation harnesses that find where your AI breaks before your customers do. Covering every district and PIN code in Assam.

Districts
23
PIN codes
571
Cities mapped
14

AI Evaluation & Red Teaming in Assam

The regression suite is the lasting deliverable. A one-off audit ages out in a month; tests in CI keep working after we leave.

Assam runs on tea, petroleum and natural gas, agriculture and handloom and silk, plantation and energy operations spread across difficult terrain, which makes remote monitoring and field-data capture the recurring need. Where ai evaluation & red teaming earns its budget here usually follows directly from that mix.

We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong. You own the code, the models where they are open-weight, and the documentation to run it without us.

নমস্কাৰ , Nomoskar. We work in Assamese and English across Assam.

Assam coverage

State / UT
Assam
Region
Northeast India
Districts covered
23
PIN codes covered
571
Cities mapped
14
Working languages
Assamese, English

What is included

  • Evaluation set built from your real domain
  • Adversarial prompts including injection and jailbreak attempts
  • Hallucination rate measured, not estimated
  • Bias testing where the use case warrants it
  • Regression suite wired into your CI
  • Findings report with severity and remediation

Questions

Do you cover all of Assam?

Yes, all 23 districts and 571 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.

Which Assam sectors do you work with most?

Across Assam the economy leans towards tea, petroleum and natural gas, agriculture, handloom and silk. Plantation and energy operations spread across difficult terrain, which makes remote monitoring and field-data capture the recurring need.

What is prompt injection?

An attack where instructions hidden in content the model reads, an email, a web page, an uploaded file, override your intended behaviour. It matters the moment your system processes anything a user or third party supplies.

How do you measure hallucination?

Against a labelled question set from your domain with verified answers, reported as a rate rather than an impression.

Do we need this if we use a major provider?

Yes. Provider safety training covers general misuse; it knows nothing about your specific tools, data and permissions, which is where the real risk sits.

AI Evaluation & Red Teaming in Assam

Covering all 23 districts. Tell us what you are trying to change.

Or email bd@dtrasglobal.com · call +91 74118 77878