Now live Reqruit AI screens candidates, runs AI interviews and returns a ranked shortlist. See the platform

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Three products live.
More in build.

Reqruit AI, QRUIT AI and FIR Sahayak all came out of client work. We run them ourselves, which is why our AI advice tends to be practical rather than theoretical.

SaaS platform · live

Reqruit AI

Smarter hiring. Faster decisions. Powered by AI.

An AI-powered recruitment and candidate assessment platform that helps organisations hire smarter, faster and more accurately. It turns hiring into a data-driven, unbiased and scalable process, going well beyond keyword matching to deliver candidate intelligence you can defend to a hiring panel.

+55%More effective
+50%More efficient
+85%More engagement

Intelligent hiring in four steps

1. Standardise & prepare

Job descriptions and CVs are parsed and normalised, removing formatting inconsistency and bias before evaluation begins.

2. Screen & shortlist

Candidates are scored across skills, experience, education, role fit and growth potential using explainable logic.

3. AI video interviews

Structured interviews assess communication, confidence and behavioural indicators a CV cannot carry.

4. Decide with confidence

Detailed reports with scoring breakdowns and AI justifications, in one dashboard.

Inside the platform

Candidate pipeline screen
Candidate pipelineCandidates move through New, Acknowledged, Screened, Interviewed and Suggested, with client evaluation status tracked alongside.

Screen 1 of 5

Screens are intentionally blurred to protect our product design. Book a demo for a live walkthrough.

Built for

Recruitment agencies Corporate HR teams Talent acquisition leaders High-growth startups Enterprises
Autonomous agent · in development

QRUIT AI

A virtual recruiter that works while you don't.

QRUIT is an autonomous AI recruitment agent operating on top of the Reqruit AI platform. Instead of waiting for someone to upload documents and trigger each module, it monitors your communication channels, works out what is being asked, sources candidates and drives the full pipeline itself.

QRUIT is not a chatbot. It is an agentic system with persistent memory, multi-channel perception and tool use, capable of running workflows that span hours or days.

What the agent does

Perception

Reads Gmail, Outlook and WhatsApp in real time for job descriptions and CVs, plus watched cloud and local folders.

Sourcing

Actively searches LinkedIn, job boards and talent databases for candidates matching the brief.

Standardisation

Parses and normalises everything it finds into the Reqruit AI canonical schema.

Screening

Runs deep AI scoring across skills, experience, culture fit and growth potential.

Interviewing

Schedules and triggers AI video interviews, then analyses the responses.

Reporting

Generates explainable shortlist reports and delivers them by email, WhatsApp or dashboard.

Autonomous mode

Runs the whole pipeline end to end and delivers a finished shortlist. Best for high-volume, well-defined roles.

Interactive mode

Pauses at each module for human approval before continuing. Best for senior, sensitive or first-time roles.

Inside the agent

Agent dashboard screen
Agent dashboardA live view of every role the agent is running, how far each has moved, and what is waiting on your approval.

Screen 1 of 8

Screens are intentionally blurred to protect our product design. Book a demo for a live walkthrough.

Public sector · pilot ready

FIR Sahayak

From spoken complaint to a compliant FIR.

Every First Information Report starts as a conversation and ends as a legal document. FIR Sahayak helps investigating officers turn complaints and statements, in Bengali, Hindi or English, into structured, complete and legally sound reports. The officer stays in charge; the paperwork gets out of the way.

How it works

Step 1

Capture

A complaint, statement or document is entered or uploaded.

Step 2

Understand

Multilingual and unstructured narratives are processed.

Step 3

Structure

Facts, people, places, dates and allegations are organised.

Step 4

Validate

Gaps, inconsistencies and compliance issues are flagged.

Step 5

Assist

Drafts, summaries and investigation documents are generated.

Step 6

Review

The officer reviews and makes the final decision.

Responsible AI in policing

The system assists with

  • Drafting structured FIRs from statements
  • Processing Bengali, Hindi and English
  • Flagging missing or inconsistent information
  • Summarising parties, witnesses and facts
  • Surfacing relevant case patterns

Only the officer decides

  • Whether an FIR should be registered
  • The credibility of an allegation
  • The guilt or innocence of any person
  • Investigative conclusions
  • Legal decisions

Inside the assistant

Duty officer dashboard screen
Duty officer dashboardComplaints in, AI-drafted FIRs out: total complaints, pipeline activity, cases awaiting officer action and FIRs registered.

Screen 1 of 7

Screens are intentionally blurred to protect our product design. Book a demo for a live walkthrough.

Key benefits

Faster documentation

Cut the time needed to prepare a structured FIR.

Better completeness

Catch missing information before the report is finalised.

Improved consistency

Standardise documentation while preserving officer discretion.

Multilingual reach

Bridge language barriers between citizens and police.

Less admin burden

Automate repetitive documentation and summarisation.

Better case intelligence

Make relevant historical case information easier to find.

What comes next

Three shipped.
More in build.

Our products come out of client work, so the roadmap follows the problems we keep meeting. These are the areas we are actively building in.

On the roadmap

Early-stage work, shaped by what clients are asking for now.

  • In build Deeper QRUIT AI autonomy, including multi-role scheduling and coordination
  • In build Extensions of FIR Sahayak into wider case documentation workflows
  • Exploring Document intelligence for legal and compliance teams
  • Exploring Vertical AI assistants for healthcare and education operations

Shape one with us

Every product here started because a client described a problem clearly enough that it was worth building for. If you are dealing with something repetitive, document-heavy or judgement-heavy, we would like to hear about it. Early partners get direct influence over what gets built.

Want to see one of these running?

Demos are hands-on and use your own sample data where possible: a job description, a CV, or a redacted statement.