Snapshot
Continue to About ↓- What it does
- Hunar.AI is an India-based voice-AI HR platform whose AI agents call and message (voice plus WhatsApp) candidates and frontline employees to screen, assess, schedule, onboard, train, survey and retain them at high volume.
More detail
- Teams configure a calling objective, upload a list, and the platform returns structured outcomes and scores from each conversation.
- Best for
- High-volume, frontline-heavy employers in India — such as quick commerce, retail, logistics, diagnostics, staffing and BPO — that want to automate first-round calls, interview scheduling, document collection and pre-joining engagement.
More detail
- Also suitable for HR and talent-acquisition teams in these sectors burdened by coordination work.
- Pricing
- No public price list, plans, per-call rate, or minimum commitment are published on the official site
More detail
- all product lines route to 'Request a demo' or 'Book a demo.' The specific commercial model — subscription, per-call, per-seat, or a mix — and any spreads, fees, telephony/gas charges, lockups, or w
- Main limitation
- Organisations hiring knowledge workers or professional roles, and teams operating outside India or in languages other than Hunar's India-centric set.
More detail
- Buyers requiring public self-serve pricing or independently verified review evidence should not select it without further diligence.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Hunar.AI is an India-based voice-AI HR platform whose AI agents call and message (voice plus WhatsApp) candidates and frontline employees to screen, assess, schedule, onboard, train, survey and retain them at high volume.
- Teams configure a calling objective, upload a list, and the platform returns structured outcomes and scores from each conversation.
What it helps with
- Candidates lost between application and first recruiter contact because first calls happen too late.
- Recruiter time consumed by first-round calls, interview scheduling and confirmations.
- Frontline hires dropping off in the weeks between selection and joining.
- Manual document collection and verification stalling onboarding.
- Low frontline survey participation, leaving most of the workforce unheard.
- Stale candidate databases that are not reactivated.
- Post-selection and offer-letter delays causing talent loss to faster competitors.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Multilingual voice and WhatsApp screening | Yes | Agents call and message applicants in 20+ languages and dialects, screening 100% of applicants; claimed 90%+ assessment completion. |
| Self-serve campaign launch | Yes | Set up an agent in under 5 minutes by defining the objective, choosing persona and language, uploading a CSV and starting a campaign. |
| AI interviews and structured scorecards | Yes | Conversational assessments evaluate hard skills, soft skills and communication, producing instant structured scorecards. |
| Autonomous interview scheduling and reminders | Yes | Candidates pick slots, and the AI reschedules and reminds until the candidate walks in. |
| AI-led document collection and verification | Yes | Guides candidates through uploads, validates documents, and provides an audit trail; claimed completion in minutes. |
| Offer and letter-of-intent generation | Yes | LOI/offer letters can be generated and sent automatically upon selection, with digital acceptance and follow-up. |
| Pre-joining engagement and training | Yes | Scheduled check-ins and pre-training modules keep accepted candidates engaged until day one. |
| Call analytics and scoring engine | Yes | Every call is evaluated for intent, sentiment and outcomes, with a maker-checker second review claiming 90–95% accuracy. |
| Public self-serve pricing | No | No pricing is published; all routes lead to a demo request. |
| Documented support outside India | Unknown | No evidence of non-India telephony, language coverage, or deployments. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
58of 100
ChatGPT58/100
Claude58/100
What bots could verify
- • Precise corporate identification including legal entity name, CIN, incorporation date, registered location, and named co-founders.
- • External corroboration of Series A funding and market activity via third-party financial reporting (The Economic Times, Inc42).
- • Detailed examination of commercial terms of use, fee dispute clauses, and statutory disclosure transparency.
What weakens trust
- • No publicly available pricing, plan structures, or standardized enterprise rate cards.
- • Extremely sparse independent customer proof, documented by only one single verified G2 review.
- • Lack of third-party audit reports to verify technical scale, 99.97% uptime, ISO compliance, or CERT-In VAPT testing.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- hunar.ai
Technical profile details
Record ID
cb72066f-0ba9-4bcf-84c4-0440ec3a597fCanonical URLhttps://profiles.scribble.network/listing/hunar-ai-cb72066f