Ribbon
Also known as: Ribbon AI, Recruit AI, Ribbon.ai
Voice AI recruiter that conducts natural, adaptive screening interviews with candidates around the clock, then scores and summarizes them and pushes results into your applicant tracking system.
Ribbon is a voice artificial intelligence recruiter that conducts job screening interviews at scale. Founded in 2023 in Toronto by Arsham Ghahramani, an Amazon AI alum, and Dave Vu, a talent leader, the company raised more than eight million dollars in a round led by Radical Ventures in 2025. Its product, Recruit AI, replaces the initial phone screen with an adaptive voice agent that talks to candidates around the clock, so a role that once waited days for a recruiter to schedule a call can be screened in under five minutes.
The interview itself is the core of the product. Ribbon's agent holds a natural, adaptive conversation that responds to candidates in real time, picking up on nuance, asking relevant follow up questions, and even allowing do overs when nerves get in the way, which candidates rate highly and often mistake for a human. It runs in more than ten languages and captures both audio and video, with built in cheat detection to keep the process fair. Beyond screening, the agent actively sells the role, highlighting company benefits and culture, and lets the business customize the brand experience.
For the hiring team, Ribbon turns each conversation into a decision ready output. It scores and summarizes every interview, ranks candidates with data driven insights, and continuously analyzes results to reduce bias, so recruiters can filter a large pipeline quickly and spend their time on later stage candidates. A human recruiter still reviews the responses and makes the final call. The platform integrates with more than forty five applicant tracking systems, including Workday, Lever, Greenhouse, and BambooHR, so screening slots into an existing workflow without new silos or training.
Ribbon is built for high volume, high turnover hiring in industries like manufacturing, airports, quick service restaurants, and healthcare staffing, where the number of candidates far outstrips the interviews a human team can run. Companies including LAZ Parking, Fuze HR, and First Brands Group report cutting time to interview from around forty eight hours to under five minutes and shortening hiring timelines by thirty to forty percent. The founders also frame a longer ambition, turning a five minute conversation into a rich candidate profile and building a platform that helps anyone move between opportunities with less friction.
Vendor details
Canonical URL
https://ribbon.ai
Category
Voice agent
Subcategory
Voice AI recruiter (candidate screening interviews)
Funding status
Independent. Founded 2023 in Toronto by Arsham Ghahramani (ex Amazon AI) and Dave Vu. Raised more than eight million dollars in a round led by Radical Ventures in March 2025, with participation from Social Leverage, Cadenza Ventures, and GD1.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Integrates with more than forty five applicant tracking systems including Workday, Lever, Greenhouse, and BambooHR, plus meeting tools such as Zoom, Google Meet, and Microsoft Teams, so screening results and summaries sync into existing hiring workflows. Offers a developer application programming interface (API) for interview flows, interview links, the Talent Hub, and scoring. No self hosted or on premises option.
In practice
A quick service restaurant chain gets thousands of applicants a month and cannot screen them all by hand. Ribbon interviews every candidate by voice within minutes of applying, then hands recruiters a ranked, summarized shortlist to act on.
A working parent can only job hunt after the kids are asleep. With Ribbon, they complete a real screening interview at two in the morning, on their own schedule, instead of waiting weeks for a recruiter to call.
A staffing agency wants faster submissions without adding headcount. Ribbon runs first round screens around the clock, syncs scores and summaries into the agency's applicant tracking system, and frees recruiters for higher touch work.
Sources & related URLs
Research sources
Research notes
Score 5.0 (1F/8P/5N) [Voice lane calibration]. Category: Voice agent PRIMARY (voice-first AI interviewer; consistent with vertical voice agents Sameday/WIZ.AI placing modality over function) + secondary Enterprise operations agent (HR/talent function). Moved from Enterprise operations agent stopgap (was enum-blocked when Recruiting agent category was declined for a one-vendor category). F (1): Orch (autonomous end-to-end interview loop: conduct adaptive multi-turn voice interview + score + summarize + rank + push to ATS). P (8): Int (45+ ATS Workday/Lever/Greenhouse/BambooHR + Zoom/Meet/Teams), HITL (recruiter reviews + final call, team review/ranking, bias mitigation), Obs (summaries/scorecards/analytics/interview logs), Mem (Talent Hub + indexed candidate pipeline for future roles), Pack (Interview Flow templates per role + default/custom scoring rubrics), Trig (async single-use links + email outreach + scheduling + phone/video around the clock, bulk-screen from one link; NO live dialer/inbound telephony/SIP/event triggers), Model (10+ languages + customizable AI voices + brand voice config; no BYOK/model routing), Ext (documented developer API docs.ribbon.ai; no SDK/MCP). N (5): Know (job-criteria + resume grounding, no RAG/KB), Sec (EVIDENCE-LIMITED: fairness/bias audits confirmed but NO named security cert e.g. SOC 2/ISO 27001, SSO, or RBAC verified in public sources - RE-VERIFY if trust page/SOC 2 surfaces; would likely upgrade Sec N->F and score to ~6.0), Dep (managed SaaS only, white-label = branding not deployment, no self-host/residency), Eval (custom scoring criteria + interview preview, no prompt versioning/regression/simulation), Comp (voice/video only). VERTICAL-MOAT NOTE: narrow single-purpose vertical voice agent; real-world traction (1M+ interviews, 400+ companies, 500+ recruiting firms, 45+ ATS connectors, clients LAZ Parking/Fuze HR/First Brands Group) exceeds what the breadth-oriented 14-axis score captures - score reads narrow-but-deep, same pattern as WIZ.AI/Sameday. --- Voice AI recruiter (ribbon.ai; Toronto, Canada; NOT Ribbon Health or Ribbon Home). Product 'Recruit AI' = adaptive voice AI screening interviews around the clock; natural/human-like, follow-ups, do-overs, 10+ languages, audio+video, cheat detection, bias mitigation; scores/summarizes/ranks candidates, insights; AI sells the role (benefits/culture), customizable brand; builds candidate profiles; human recruiter reviews + makes final call; 45+ ATS integrations (Workday/Lever/Greenhouse/BambooHR); high-volume/high-turnover industries (manufacturing/airports/QSR/healthcare staffing); clients LAZ Parking/Fuze HR/First Brands Group/Propel Impact/Tactable; time-to-interview 48hr->5min, 30-40% faster hiring. Founders Arsham Ghahramani (ex-Amazon AI) + Dave Vu; $8M led by Radical Ventures (+Social Leverage/Cadenza/GD1), Mar 2025. Pricing: freemium (first 3 interviews free, pay per completed, $3/interview Recruit Pro) + tiered subs + Enterprise custom. Domain ribbon.ai.
Capability coverage
5.0 / 14 capabilities · 36%
| Integrations & Tool CallingRibbon integrates with more than forty five applicant tracking systems including Workday, Lever, Greenhouse, and BambooHR, plus meeting tools such as Zoom, Google Meet, and Microsoft Teams, so screening results sync into existing hiring workflows, broad recruiting stack integration short of general agent tool calling, so partial. | Partial |
|---|---|
| Workflow OrchestrationRibbon autonomously runs the full screening loop, holding an adaptive multi turn voice interview, then scoring and summarizing it, ranking candidates, and pushing results to the applicant tracking system without a person in the middle, a genuine end to end workflow engine for its scope, so full. | Full |
| Knowledge Grounding & RAGRibbon grounds each interview in the role requirements and the candidate resume, but citation grounded retrieval or a first class knowledge base could not be verified, so not documented. | Unable to verify |
| Human Oversight & GuardrailsA human recruiter reviews Ribbon's scored responses and makes the final hiring call, with team review, candidate ranking, and bias mitigation built in, strong human oversight short of a configurable runtime guardrail or policy engine, so partial. | Partial |
| Security, Identity & GovernanceRibbon handles candidate personal data and undergoes fairness and bias audits, but named security certifications such as SOC 2 or ISO 27001, single sign on, and role based access controls could not be verified in public sources, so not documented. | Unable to verify |
| Observability & AuditabilityRibbon delivers instant interview summaries, automated notes, scorecards, candidate rankings, and analytics with interview logs for review, meaningful reporting on candidate evaluation short of full agent execution audit trails, so partial. | Partial |
| Memory & State PersistenceRibbon retains completed interviews in a Talent Hub and builds an indexed database of pre screened candidates that teams can revisit for future roles, real persistence of interview and candidate state, so partial. | Partial |
| Deployment & Data ResidencyRibbon is delivered as a managed cloud service with white label branding for enterprises, but a self hosted, on premises, or regional data residency option could not be verified, so not documented. | Unable to verify |
| Prebuilt Agents, Templates & PacksRibbon provides reusable Interview Flow templates defined per role along with default and custom scoring criteria, a useful template layer short of a library of prebuilt production agents across domains, so partial. | Partial |
| Triggers & Channel CoverageRibbon reaches candidates through single use interview links, automated email outreach, and self scheduling across phone and video around the clock and can bulk screen thousands from one link, but live outbound dialing, inbound telephony, and event driven campaign triggers could not be verified, so partial. | Partial |
| Model Flexibility & RoutingRibbon conducts interviews in more than ten languages with customizable AI voices and brand specific voice configuration, meaningful voice and language flexibility, but user facing model routing or the ability to bring your own model and speech providers could not be verified, so partial. | Partial |
| APIs, SDKs & MCP ExtensibilityRibbon publishes a developer application programming interface (API) documented at docs.ribbon.ai covering interview flows, interview links, the Talent Hub, and scoring criteria, but a software development kit (SDK) or Model Context Protocol (MCP) server could not be verified, so partial. | Partial |
| Testing, Debugging & OptimizationRibbon lets teams configure custom scoring criteria and preview the candidate interview experience, but a first class agent testing framework with prompt version control, regression testing, or simulation could not be verified, so not documented. | Unable to verify |
| Browser & Computer UseRibbon is a voice and video interview agent and does not provide browser or computer use automation, so not documented. | Unable to verify |
Pricing
Free trial; $3 per interview; Ent custom
per completed interview
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