CConverzAI

One ConverzAI customer, Apex Systems, reports more than 250,000 candidate conversations handled by the company’s virtual recruiter, with candidate satisfaction above 80%. That is the scale ConverzAI is built for: staffing firms with hundreds or thousands of open jobs, where the first call to each applicant is the bottleneck. The agent calls, texts and emails candidates, screens them in conversation, scores fit and hands recruiters a shortlist.

ConverzAI is best for commercial, professional and healthcare staffing firms that fill jobs at volume. Buying transparency is the main area it could improve: there is no price list, pricing is reported to be tied to placements, and public review scores have yet to build up. We rate it 7.9/10 on our scale; published pricing and a longer public record would lift that score, and capability is not what limits it. We have not used ConverzAI ourselves; this review is based on the company’s press releases, its Avionte partner listing and published coverage.

Customer Results Rather Than Plan Details

ConverzAI publishes customer results rather than plan details. These are the figures on record, with who said them.

The pattern is consistent: large staffing firms, high applicant volumes and results measured in conversations, screens and placements. TalentBurst’s 5,000 applicants in under three days works out to more than 1,600 a day, a volume no recruiting desk could call by hand.

Every result in the table comes from ConverzAI or its customers and partners, and HeroHunt.ai, which compiled some of them, sells a competing recruiting product. Treat the figures as signs of what large deployments report, and ask for references from firms with a similar job mix.

A Virtual Recruiter From Sourcing to Placement

ConverzAI calls its product a virtual recruiter. Its February 2025 funding announcement describes an agent that manages the recruiting pipeline from sourcing to placement using generative and agentic AI, holding conversations with candidates by voice, text and email and analyzing their answers in real time.

From Applicant to Shortlist

• Engage: new applicants and matched candidates get an immediate call, text or email, so the first contact does not wait for a recruiter to free up.
• Screen: the agent runs a screening conversation on the questions a role needs, such as experience, availability and pay, and assesses the answers as it goes.
• Score: a July 2026 comparison guide reports that it produces fit scores and refreshed resumes for each candidate it screens.
• Schedule and hand over: the same guide reports that it schedules candidates and gives recruiters a shortlist, with a dashboard tracking conversations, fit scores and submission speed.

Avionte’s partner page lists sourcing, screening and assessment among the tasks the agent takes on, plus instant applicant engagement and qualification and tuning of job board and marketing spend.

Where It Connects

Avionte, a staffing ATS, lists ConverzAI as a partner: AviontéBOLD users can switch on the Unicorn Recruiter to support existing teams. The comparison guide also reports integrations with Bullhorn and Ceipal. Results flow back to the recruiter, who decides whom to submit.

Onboarding in Days With No IT Project

ConverzAI said in October 2024 that onboarding involves no implementation costs or IT effort and that customers see value within days; Avionte lists five days to deploy. In practice, a staffing firm connects its ATS, agrees which jobs and applicant sources the agent covers, sets screening questions per job type and decides when candidates are passed to a recruiter.

Where It Fits in a Staffing Workflow

Staffing desks lose candidates in the gap between an application and a recruiter’s first call. ConverzAI targets that gap. The agent takes the first touch on every applicant, filters out people who do not meet the job’s basic requirements and passes the rest on with notes and a score. Recruiters then spend their time on candidates who already qualify and on client conversations. TalentBurst reported more than 160 suitable submissions a week with the agent in place, which shows the output is a steady flow of screened candidates rather than a one-off list. The approach suits roles with clear screening criteria, such as shift availability, certifications or pay range, better than senior roles where fit is a judgment call.

Shortlists, Submittals and Pay Talks Stay Human

Recruiters review shortlists, submit candidates to clients, negotiate pay and handle exceptions. Client relationships stay with people. A firm should also decide who reviews fit scores and which candidates the agent may reject without a person looking.

Demo-Only Pricing With Reported Outcome Fees

ConverzAI does not publish plan prices. Its pricing page routes buyers to a demo, according to a July 2026 comparison guide, which also reports that the company’s marketing describes outcome-based pricing in which customers pay for placements.

Measuring the Screening Work Before the Demo

Without a price list, the useful exercise is to measure the work the agent replaces and set a ceiling before the demo. The hours below rest on our own assumption of 15 minutes for a manual phone screen; use your own figure.

• A light-industrial desk with 500 applicants a week: at 15 minutes each, screening by hand would take 125 recruiter hours a week, roughly three full-time recruiters. That is the labor a quote should be weighed against.
• A professional staffing team of five recruiters: five seats on Recruiterflow’s published plan at $119 per user per month billed annually cost $595 a month, or $7,140 a year, for an agency ATS and CRM. ConverzAI does different work, voice screening at volume, but the figure shows what a small team already spends on software.
• A placement-based contract: if the fee is charged per placement, model it against your average margin per placement and the share of placements the agent truly sourced or screened, since recruiters often finish the work.

Questions to settle in writing: how placements are attributed, whether calls and texts carry usage charges, what happens to fees when a candidate leaves early, and minimum commitments.

ConverzAI Compared With Sense AI Recruiter, Bullhorn Amplify, Carv and Alex

All five put an AI agent in front of candidates at volume, but each starts from a different base: a virtual recruiter, an engagement platform, an ATS, a multi-agent suite and an AI interviewer.

Sense is the closest match and has a longer public review record. Bullhorn Amplify avoids adding a vendor for firms already on Bullhorn. Carv suits operations that want a separate agent for each step, and Alex leans toward structured interviews with identity checks. ConverzAI’s edge is a reported placement-based model and published volume results from large staffing firms. For agencies that mainly source passive candidates rather than screen inbound applicants, Loxo or hireEZ solve a different problem. A staffing firm can sensibly run a sourcing tool and a screening agent side by side, as long as both write to the same ATS. See more in our AI agents for recruitment agencies and voice AI agents guides.

High-Volume Light Industrial, Healthcare and IT Desks

• High-volume staffing firms: the published results come from firms such as Apex Systems and TalentBurst screening thousands of applicants.
• Light industrial, healthcare and IT staffing desks: ConverzAI names commercial, professional and healthcare staffing as its target segments.
• Avionte users: AviontéBOLD customers can switch on the agent through a partner integration.
• Firms losing applicants to slow first contact: the agent calls or texts new applicants immediately, around the clock.
• Buyers who prefer paying for results: a placement-based model, if offered in your contract, ties cost to filled jobs rather than seats.

Boutique and Executive Search Agencies

• Boutique and executive search agencies: an agent built for thousands of screens is more than a few senior placements a month usually need; a sourcing tool such as Loxo or Juicebox fits better.
• Buyers who need list prices: every deal is quoted.
• Teams that rely on peer reviews: qualifying public ratings have yet to build up.
• Firms on ATSs outside the integration list: confirm a connector before a demo.
• Teams still setting AI screening policies: the agent scores and filters candidates, which needs oversight and policy work.

Revenue Claims and Placement Attribution

• Vendor-reported results: figures such as up to 40% higher revenue and 30% better efficiency come from ConverzAI and its customers.
• Placement attribution: under a placement-based fee, agree in writing which placements count, so a recruiter-sourced hire is not billed as an AI placement.
• Consent and contact timing: automated calls and texts to candidates must respect consent, opt-out and local contact-hour rules.
• Fit scores: scores decide who reaches a recruiter; ask how they are explained, audited for bias and overridden.
• Data handling: the agent records conversations with candidates; ask for security and data retention documentation during procurement.
• Integration scope: only the Avionte connection is listed by the partner itself; confirm depth of sync for Bullhorn or Ceipal in a demo.

Menlo Ventures Leads a $16 Million Series A

• On February 12, 2025, ConverzAI raised a $16 million Series A led by Menlo Ventures, with Left Lane Capital joining and seed investors Foundation Capital and Afore Capital participating, to fund product work and go-to-market expansion.
• In February 2026, Avionte updated its partner page for ConverzAI, which lets AviontéBOLD users switch on the Unicorn Recruiter.

Worth a Demo When Thousands Need Screening

For staffing firms that need thousands of applicants called and screened, ConverzAI is worth a demo. It scores 7.9/10 on our scale: high on autonomy, with room to grow through published pricing, a longer integration list and a deeper public review record. The evidence that it works at scale is real and comes from the company and its customers, led by Apex Systems’ 250,000-plus conversations and TalentBurst’s 5,000 screens in under three days.

Before signing, run a pilot on one job category, compare time-to-first-contact and submissions per recruiter before and after, and pin down how placements are attributed and billed. If those numbers hold, a placement-based contract can line costs up with results better than seat pricing does.

Outcome-Based Fees and No Published Plans

How Much Does ConverzAI Cost?

ConverzAI does not publish prices; buyers book a demo. A July 2026 comparison guide reports outcome-based pricing in which customers pay for placements, with rates set in contract. The company says onboarding carries no implementation costs.

What Does the ConverzAI Virtual Recruiter Do?

It contacts applicants by phone, text and email, holds screening conversations, scores fit and schedules candidates, then hands recruiters a shortlist. It is aimed at staffing firms filling many jobs at once.

Which ATS Platforms Does ConverzAI Integrate With?

Avionte lists a partner integration for AviontéBOLD users. Bullhorn and Ceipal integrations are reported in a 2026 comparison guide. Confirm the depth of sync for your system in a demo.

How Does ConverzAI Compare With Sense AI Recruiter?

Both screen and engage staffing candidates by voice and text at volume, and neither publishes prices. Sense adds WhatsApp and a longer public review record, while ConverzAI reports a placement-based pricing model and large-scale results from firms such as Apex Systems.

Who Founded ConverzAI and Who Backs It?

Ashwarya Poddar is founder and CEO. Menlo Ventures led the $16 million Series A in February 2025, with Left Lane Capital, Foundation Capital and Afore Capital also investing.