Infosys Responsible AI Toolkit

Add configurable safety, privacy and quality checks to AI applications

Linked from github.com · checked 30 Oct

Tool type: AI evaluation and guardrail toolkit
Made for: AI developers and model-governance teams
Runs on: Self-hosted Python APIs with optional Angular interface
Last checked: 30 Oct 2026; 1 product sources

What it does

The Infosys Responsible AI Toolkit is an open-source collection of APIs for checking AI inputs, outputs and models. Its modules cover content moderation, privacy handling, fairness, explanation and hallucination assessment, with an optional web interface for experimentation and reporting.

Developers deploy and configure the modules they need, including their model connections and thresholds. The guardrails are optimized for Azure OpenAI and require client changes for other providers. Release 2.2.1 retired the separate Security and Red Teaming modules, so current deployments should follow the release-specific documentation rather than assume every historical module is included.

What it can do

Content moderation
PII handling
Fairness assessment
Hallucination assessment
Model explanation
Evaluation reports

Works with

Azure OpenAI

Before you choose

Checks are fallible and require application-specific validation.
Azure OpenAI is the optimized provider; other clients need configuration changes.
Hosting and model-provider usage are separate costs.

Listed under

Get started

Choose the required modules and supported release.
Install each module using its README and configure dependencies.
Calibrate thresholds and evaluate results with representative inputs.

Review installation instructions

Plans and prices

The toolkit is MIT-licensed. Organizations operate its services and pay any infrastructure or external model charges.

We couldn’t find published prices for Infosys Responsible AI Toolkit. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

GitHub - Infosys/Infosys-Responsible-AI-Toolkit: The Infosys Responsible AI toolkit incorporates various features including safety, security, explainability, fairness, bias and hallucination detection to ensure AI solutions are trustworthy and transparent. · GitHub ↗github.com

Ratings and reviews

No ratings for Infosys Responsible AI Toolkit yet.

Be the first to rate it

What’s changed

Free account

See what’s changed at Infosys Responsible AI Toolkit

Launches, price moves and pivots, each with a date and a source. Free with an account.

Signals

Free account

See Infosys Responsible AI Toolkit’s signals

Launch traction, hiring and release activity, tracked over time. Free with an account.

Data and security

Free account

See how Infosys Responsible AI Toolkit handles your data

Training on your files, compliance, hosting and the models behind it. Free with an account.

Compare with similar tools

Free account

Compare Infosys Responsible AI Toolkit side by side

Prices, platforms and features against similar tools, with sources. Free with an account.

Where this comes from

How we research

Company website: github.com: product, pricing and policy pages
Web archive: When the site first appeared
YC directory mirror: Batch and company name
Social accounts: Accounts the company links, and its posts on X
Human review: Checked by a person
knowledge_base
manual_review

Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.