HIRE TO RETIRE

Super Charge your Talent Team

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Coordinated AI agents orchestrating your entire talent lifecycle — from first source to final offboard.

KHOJI — TALENT ACQUISITION

Be a Recruiter not Sourcer

Khoji takes a hiring request the way you would say it, works every source you have at the same time, and hands back people already ranked — with the reasoning still attached.

  1. Request

    Ask in plain language

    A conversation, in any of 6 languages. Add what you forgot; it keeps both turns.

  2. Search

    Reach every source at once

    6 kinds of source, worked in parallel by 4 regional sub-agents.

  3. Results

    Filter against the brief

    1,269 profiles read and deduplicated, then ranked on the brief rather than on keywords.

  4. Candidate

    Score it, and show the working

    12 come back with a vital score — the best at 9.4, broken into the 4 dimensions behind it.

Search the bench yourself

A demonstration of the Khoji agent, playing in four acts on a loop. Use the arrow keys to step between acts, space to pause, Home to return to the first act. Pointer or keyboard focus also pauses it.

The request: “Hey Khoji, find me an AWS Architect from a product company in Pune, India, and a Product Specialist with 4+ years in AI/ML from Silicon Valley.

The same request is also shown in Hindi, Spanish, Tamil, Arabic, Malay — it can be written in any language.

The agent answered: “Sure. Anything else you need?

The requester then added: “Yes — I forgot a Store Assistant in Singapore, full-time, 5+ years, and a Production Engineer with 2+ years in Saudi Arabia.

The agent answered: “Got it — four roles, four markets. Give me a moment.

It then searched 1,269 profiles across 4 markets using six sources, and returned 12 candidates.

Pune, IndiaCloud Architecture. 3 of 468 profiles read.

  • Ananya Deshpande, Senior Cloud Architect, Pune, MH. Vital score 9.4 out of 10. Available now. Ran the AWS platform at a product company, at this scale.
  • Imran Shaikh, AWS Solutions Architect, Pune, MH. Vital score 9.1 out of 10. 30-day notice. Cost and reliability specialist, services background.
  • Jasleen Kaur, Cloud Platform Architect, Pune, MH. Vital score 8.8 out of 10. Passive — open to hear. Built the platform the others build on, not looking.

Silicon Valley, USAI/ML Product. 3 of 391 profiles read.

  • Elena Vasquez, AI Product Specialist, Palo Alto, CA. Vital score 9.2 out of 10. Available now. Took two ML products from nothing to shipped.
  • Daniel Okafor, Product Specialist, ML Platform, San Jose, CA. Vital score 8.9 out of 10. 30-day notice. Platform-side depth, lighter on discovery.
  • Yuki Tanaka, Technical Product Specialist, AI, Mountain View, CA. Vital score 8.5 out of 10. Passive — open to hear. Exactly the 4-year bar, and moving quickly through it.

SingaporeRetail. 3 of 236 profiles read.

  • Nur Aisyah, Senior Store Assistant, Singapore. Vital score 8.7 out of 10. Available now — full time. Seven years on a flagship floor, full-time from day one.
  • Marcus Ong, Store Assistant — Flagship, Singapore. Vital score 8.3 out of 10. 2-week notice. Steady on the floor, less stockroom ownership.
  • Devi Krishnan, Retail Store Assistant, Singapore. Vital score 8.0 out of 10. Available now — full time. Meets the 5-year bar, strongest of the three on service.

Saudi ArabiaProduction. 3 of 174 profiles read.

  • Faisal Al-Otaibi, Production Engineer, Jubail, SA. Vital score 8.6 out of 10. Available now. Petrochemical line experience, well past the 2-year bar.
  • Noura Al-Qahtani, Process & Production Engineer, Riyadh, SA. Vital score 8.4 out of 10. 60-day notice. Process depth, and the clearest documentation in the group.
  • Abdulrahman Nasser, Manufacturing Engineer, Dammam, SA. Vital score 8.1 out of 10. Available now. Fast on the line, still building process ownership.

Top match: Ananya Deshpande, vital score 9.4, scoring AWS depth 96, Architecture 94, Reliability 90, Communication 92.

HRIS

HRIS — Full Employee LifeCycle Management

Five stages — pre-onboard, offer, onboard, manage, offboard.

Step 01 / 05
pilatus-suite ~ pre-onboarding● LIVE
Document collection0 / 7
Government photo IDVerified

Identity · Machine-readable zone parsed · name and DOB matched

Right-to-work permitVerified

Eligibility · Validity window checked against start date

Degree certificateVerified

Education · Issuing body and award year cross-checked

Previous employment letterVerifying

History · Dates reconciled against declared history

Address proofReceived

Identity · Uploaded 2h ago · queued for verification

Bank & tax declarationReview

Payroll · Account name differs from ID — routed to a reviewer

Signed agreement & NDARequested

Contract · Sent to candidate · reminder in 24h

Verification

0

Requested

0

Received

0

Cleared

Median turnaround 0 days · collection to cleared

Needs a person

Bank & tax declaration

Account name differs from ID — routed to a reviewer

auto
01/05
TPMS — TIMESHEET & PROJECT MANAGEMENT

Nobody writes the ticket. Nobody fills the timesheet.

Echo listens beside the meeting and hears who committed to what. The work is written up, assigned and estimated before the call has ended — and the week fills itself in behind you as you move your own tickets.

Echo is starting up…

A demonstration of Echo, playing in 4 views on a loop. Use the arrow keys to step between them, space to pause, Home to return to the first. It runs continuously otherwise — moving a pointer over it does not stop it.

1. The meeting

Echo listens beside Sprint planning — Platform v2 on Google Meet for 41 min. It is not a participant in the call and never speaks. What was said:

  • 04:12Alex P.: “Scheduling API is still hitting rate limits — I'll put backoff in before the pilot.
  • 06:48Jane O.: “Recruiters keep asking for the rubric as a CSV. I can take that this sprint.
  • 09:31Marcus C.: “Buddy screen copy is still placeholder, by the way. Not blocking anyone yet.
  • 12:05You: “I'll do the timesheet reminders, and the approval flow for a submitted week.
  • 15:22Sofia R.: “Payroll connector needs a retry path — give it to me, I'm on that service anyway.

2. The tasks

The call ends and Echo writes 6 tasks, each traceable to the minute it was said:

  • TPM-214Back off and retry the scheduling API. Assigned to Alex P., estimated 3d, critical priority, from 04:12 in the call.
  • TPM-215Export the screener rubric as CSV. Assigned to Jane O., estimated 2d, high priority, from 06:48 in the call.
  • TPM-217Timesheet approval reminders. Assigned to You, estimated 4h, medium priority, from 12:05 in the call.
  • TPM-218Approval flow for a submitted week. Assigned to You, estimated 2d, high priority, from 12:05 in the call.
  • TPM-219Retry path for the payroll connector. Assigned to Sofia R., estimated 1d, high priority, from 15:22 in the call.
  • TPM-220Buddy screen copy — placeholder sweep. Assigned to Marcus C., estimated 1d, low priority, from 09:31 in the call.

3. Your board

Your board on Sprint 24 · Platform v2, filtered to your own tickets:

  • To do: TPM-218 Approval flow for a submitted week
  • In progress: TPM-217 Timesheet approval reminders; TPM-211 Timesheet CSV import
  • In review: TPM-207 Slack digest for stalled tickets
  • Done: TPM-203 Pagination on the requisition list; TPM-198 Bulk export for scorecards

4. Your timesheet

Week 21, 18 – 22 May. Hours are read off the board rather than typed in.

  • TPM-198 Bulk export for scorecards: Mon 3.5h, Tue 2h.
  • TPM-203 Pagination on the requisition list: Mon 2h, Tue 4.5h, Wed 1.5h.
  • TPM-207 Slack digest for stalled tickets: Tue 1.5h, Wed 5h, Thu 4h.
  • TPM-211 Timesheet CSV import: Wed 1.5h, Thu 3.5h, Fri 4h.
  • TPM-217 Timesheet approval reminders: Fri 2.5h.
  • Meetings Standups, planning, review: Mon 1h, Wed 0.5h, Fri 1h.

Total 38.0 hours of 40, submitted for approval. Approval stays with a person.

About

Hire to retire, orchestrated

Specialized agents across sourcing, screening, offers, onboarding, and HRIS — with human approval gates where it matters.