Case Study - NirnAI: AI-powered technical assessments and hiring workflows

Overview

NirnAI is our own product: a technical assessment and hiring workflow platform that we design, build and run end to end.

The name comes from the Sanskrit word निर्णय (nirnay), meaning "decision". NirnAI exists to help hiring teams make that decision faster and with more confidence.

Why we built it

Technical hiring teams keep running into the same problems:

• Writing good questions is slow: Every new role means days of drafting and reviewing assessment questions.
• One format doesn't fit every role: A coding test alone says little about a DevOps engineer or a solutions architect.
• Remote results are hard to trust: Without proctoring, it's difficult to know whose work you are really scoring.
• Hiring lives in too many tools: Tests in one place, candidates in a spreadsheet, interviews over email.
• Growing teams need more control: Organisations want their data isolated, single sign-on and a record of who changed what.

The solution

We designed NirnAI around the path a candidate takes, from job posting to assessment to final decision, with tools for recruiters and hiring managers at each step.

Core features

• AI question generation: Upload a job description and get a tailored assessment, with support for multiple AI providers.
• Four question types: Multiple choice, coding, video and open-ended questions in a single assessment.
• Coding environment: An in-browser editor with syntax highlighting and IntelliSense for 9 programming languages.
• Proctoring: Browser activity tracking, face detection and screen recording, with suspicious activity flagged for review.
• Workflow builder: A drag-and-drop workflow builder, a Kanban candidate pipeline and calendar-integrated interview scheduling.
• Scoring and reports: Instant scoring, section-level insights and side-by-side candidate comparison.
• Localisation: The platform and assessments are available in 5+ languages.

Platform

• Multi-tenant architecture: Each organisation gets its own database schema, so data stays fully isolated.
• Access control: Google and Microsoft sign-in, enterprise SSO and customisable roles and permissions.
• Audit trail: Complete change history and compliance-ready reporting.
• Cloud infrastructure: A Rails API and React front end running on AWS, built to handle many concurrent assessments.

The outcome

NirnAI is in beta, and early hiring teams are using it to run technical assessments ahead of a wider launch.

Core technologies