Snapshot
Continue to About ↓- What it does
- Lantern is an agentic recruiting platform where connected AI agents handle sourcing, application review, voice first-round interviews, meeting notes and pipeline analytics against a shared hiring context.
More detail
- It works alongside a customer's existing ATS, and human recruiters or hiring managers set the criteria and approve every change to the hiring standard.
- It is software only: Lantern does not employ candidates or make hiring decisions.
- Best for
- Enterprise and scale-up employers with repeat or high-volume hiring that will keep an existing ATS as record of system, especially teams hiring on evidence of what candidates built rather than job titles.
More detail
- Buyers with audit, identity and retention requirements (ISO 27001, SOC 2 Type II, SSO/SAML/SCIM) and multilingual hiring needs also fit.
- Pricing
- Pricing is not published: no list price, plan tiers, per-seat rate or usage schedule appears on the official site.
More detail
- Fees, payment terms, usage limits and subscription periods are set in a signed order form or Customer Agreement
- where that agreement is silent, fees are non-refundable and exclude taxe
- Main limitation
- Buyers wanting a fully autonomous system that makes hiring decisions, since every final employment decision requires human review.
More detail
- Teams seeking to replace their ATS outright, and small or occasional hirers with no evidenced self-serve path, should look elsewhere or confirm fit at demo.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Lantern is an agentic recruiting platform where connected AI agents handle sourcing, application review, voice first-round interviews, meeting notes and pipeline analytics against a shared hiring context.
- It works alongside a customer's existing ATS, and human recruiters or hiring managers set the criteria and approve every change to the hiring standard.
- It is software only: Lantern does not employ candidates or make hiring decisions.
What it helps with
- Hiring context is lost between sourcing, screening, interviewing and debrief when those steps sit in separate tools.
- Keyword and title-based sourcing surfaces candidates whose job titles do not match what they actually built.
- Application review at volume makes it hard to show which applicants were cut and why without deleting them.
- Interviewer and recruiter note-taking plus feedback drafting take time away from evaluating candidates.
- Hiring teams cannot easily answer which pipeline stage or requirement is blocking a role.
- Recruiters manually calibrate role criteria against what the talent market actually offers.
- Feedback and debrief learnings are not carried forward into the next search or interview.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Sourcing agents | Yes | Searches the vendor's World People Model (stated 1B+ professionals) from a plain-language role description and attaches evidence to each match. |
| Application review | Yes | Narrows applicant pools against must-have criteria; cut candidates are hidden rather than deleted and criteria can be reweighted and rescored. |
| AI voice interviews | Yes | Adaptive first-round voice interviews scored against a rubric, with scores linked to transcript timestamps and recorded follow-up reasoning. |
| Meeting intelligence | Yes | Joins intake calls, interviews and debriefs to brief beforehand, take timestamped notes, draft feedback and propose changes to hiring criteria for human approval. |
| Pipeline analytics | Yes | Natural-language questions about bottlenecks and hardest-to-meet requirements, answered with charts built from the customer's own hiring history. |
| Existing ATS coexistence | Yes | Official site states Lantern connects to the customer's ATS rather than replacing it; the exact connection method and data flow must be confirmed at demo. |
| Human approval of criteria changes | Yes | Agents propose changes to hiring taste and a recruiter or hiring manager must approve before anything moves; the reason is recorded. |
| Security and compliance certifications | Yes | Vendor states ISO 27001 and SOC 2 Type II certification and GDPR compliance, with SSO/SAML/SCIM, encryption, role-based access and audit logging. |
| Configurable data retention and deletion | Yes | Customers can set retention for recordings, transcripts and derived signals; deletion requests are stated to reach backups. Vendor states candidate data is not used to train shared models. |
| Self-serve signup | No | No self-serve tier is evidenced; the entry point is booking a demo and commercial terms sit in a Customer Agreement. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
48of 100
ChatGPT—/100
Claude48/100
What bots could verify
- • Verifies corporate identity as Lantern AI Inc. (San Francisco, CA) with noted Y Combinator backing.
- • Corroborates clear operational boundaries via Terms of Service, disclaiming employment decisions and requiring qualified human review.
- • Exposes material risks including restrictive liability caps ($100 or 12 months fees) and customer legal burdens.
What weakens trust
- • Total pricing opacity with no public fee schedules, pricing models, or subscription tiers.
- • Complete absence of independent customer evidence, user reviews, case studies, or validated client testimonials.
- • Cites third-party benchmark warnings regarding weak website security (45/100 score) and poor relative trust metrics.
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
- lantern.md
Technical profile details
Record ID
0ab547f1-6f41-427e-adc4-c9e69112b755Canonical URLhttps://profiles.scribble.network/listing/lantern-0ab547