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ShreeAI

Paid

Summary

Forty-four days to fill one role, twenty hours of your week gone to resume piles, and a great candidate who dropped out because you replied three days late — ShreeAI exists because that pattern repeats on every Series A hiring push.

ShreeAI is a fully managed hiring service that takes a job description and returns a ranked shortlist of three to five candidates, with interviews already booked in your calendar. The vendor handles every layer: AI resume screening, automated assessments, candidate communication within 24 hours, and scheduling. You engage only at the final interview stage. The ceiling appears when your roles require nuanced judgment the AI criteria cannot capture — think culture-fit signals, portfolio reviews, or roles where the job description itself is still evolving. Teams with those constraints report needing to intervene earlier in the pipeline than the service model assumes.

Bottom line: Pick ShreeAI if you are a founder hiring two to five defined roles against clear requirements and want to stop the resume queue from eating your week — but plan to stay involved earlier in the funnel if your roles are ambiguous enough that a ranked shortlist from AI screening lands five technically correct candidates who miss the real bar.

Pricing Plans

Subscription
Price
$199–799 /mo + setup fees

Growth

$399per month

Screening + Assessment. Up to 5 open roles, 300 candidates/mo. Most popular plan.

  • AI screening + scoring
  • Assessment round automated
  • Interview auto-scheduler
  • Candidate communication
  • Monthly strategy call

Scale

$799per month

Full pipeline. Unlimited roles and candidates. End-to-end automation.

  • All hiring rounds automated
  • Custom AI per role
  • Priority support
  • Dedicated account manager
  • Full hiring analytics

View full pricing on shreeai.tech →

Pricing may have changed since last verified. Check the official site for current plans.

Community Performance Report Card

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Best For: Series A and growing Indian startups, Founders spending excessive time on hiring, Teams hiring 2-5+ roles with high resume volume, Companies wanting zero manual resume review

Community Benchmarks Community

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  • Full-pipeline automation from resume receipt to calendar invite, so a founder who was spending 20 hours a week on hiring triage is out of that loop entirely until the final interview.
  • 24-hour candidate response guarantee on every applicant, which means your employer brand does not erode because someone fell through a slow inbox — a common drop-off point in high-volume hiring.
  • Custom system build per client rather than a shared template, so the screening criteria are mapped to your actual role requirements rather than a generic rubric that misfires on edge cases.
  • Rebuild guarantee on the first shortlist, which means a weak initial output does not leave you holding a tool you cannot fix — the vendor absorbs the rework cost.
  • No software to install or maintain, so there is no implementation sprint, no internal DevOps dependency, and no version upgrade to manage — the full operational burden stays with the vendor.
  • There is no way to inspect or adjust the ranking logic between rounds. When the shortlist returns candidates who are technically qualified but wrong for the role, you cannot query why they ranked where they did or re-screen against updated criteria without going back through the vendor — at scale, that feedback loop adds days to a hiring cycle that the service is supposed to compress.
  • Volume caps are hard ceilings per tier. A company running a sudden hiring push — ten roles opened after a funding close, or a seasonal surge past 300 applicants per month — hits the plan limit and faces either an upgrade or a queue. There is no self-serve overflow path.
  • The service has no API and no ATS integration path described in the vendor documentation. Teams using Greenhouse, Lever, or any structured recruiting workflow receive a manual handoff — a ranked list — not a data feed. Companies whose hiring process is built around ATS audit trails and pipeline metrics will need a parallel data-entry step, and teams with a compliance requirement around candidate data handling have no documented controls to review. That gap is the most common reason a team at the 50-person stage moves to a dedicated ATS with built-in screening rather than a managed service.

Community Reviews

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About

Platforms
Web-based managed service
API Available
No
Self-Hosted
No
Last Updated
2026-07-20T14:59:07.095Z

Best For

Who it's for

  • Series A and growing Indian startups
  • Founders spending excessive time on hiring
  • Teams hiring 2-5+ roles with high resume volume
  • Companies wanting zero manual resume review

What it does well

  • Automating resume screening for multiple open roles
  • Scheduling interviews without manual coordination
  • Maintaining 100% candidate response rates
  • Running assessment rounds automatically
  • Delivering ranked shortlists for final interviews

Discussion Community

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Community Notes & Tips Community

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Frequently Asked Questions

Is ShreeAI free?
ShreeAI is a paid tool ($199–799 /mo + setup fees). No permanent free tier is offered.
Is ShreeAI open source?
No — ShreeAI is a closed-source tool. Source code is not publicly available.
What platforms does ShreeAI support?
ShreeAI is available on: Web-based managed service.

Hours Saved & ROI Stories Community

Be the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."

ShreeAI

ShreeAI is a done-for-you hiring automation service targeted at growing Indian startups. The workflow starts with a single onboarding call where the team maps your job requirements; the vendor states the system goes live within five days of that call. From there, inbound resumes are screened automatically against the defined criteria, assessments are assigned and scored without manual review, interview slots are sent to shortlisted candidates and populate your calendar, and every applicant receives a response within 24 hours. You receive a final ranked list of three to five candidates and sign the offer letter. Nothing is installed on your end — there is no dashboard to configure, no API to connect, no model to prompt.

The differentiating position is managed service over software. Most hiring automation tools hand you a product and a setup guide. ShreeAI builds a custom automation system for each client during the first week, scoped to that client’s specific role requirements and workflow. The vendor offers a rebuild guarantee: if the first shortlist does not meet expectations, the system is rebuilt at no additional cost. That guarantee shifts accountability from the buyer to the vendor, which is a meaningful structural difference from self-serve platforms where a poor shortlist is treated as a configuration problem the team needs to solve.

The service fits best when roles are well-defined and resume volume is the actual bottleneck — two to five open positions, high inbound volume, clear pass/fail screening criteria, and a founder or hiring manager who currently spends the majority of hiring time on triage rather than final evaluation. The model strains when role definitions are in flux, when the hiring bar depends on signals that do not surface in a resume or a scored assessment, or when a company needs to audit or adjust screening logic in real time. Because there is no self-serve interface and no API access, teams cannot inspect how candidates were ranked, re-run screens against revised criteria, or integrate ShreeAI’s output data into an existing ATS without a manual handoff step.

The service is structured across three paid tiers with per-role and per-candidate-volume caps; the entry tier covers up to two open roles and 100 candidates per month, while higher tiers extend to five roles, 300 candidates, and add assessment automation and a monthly strategy call. A one-time setup fee applies across all tiers. There is no free tier or trial period — engagement begins with a paid commitment after an initial audit call.

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