Sense

What it is

Sense is a recruiting automation and candidate engagement platform built for staffing firms and high-volume corporate TA. SMS, WhatsApp, email, chatbot, and phone conversations run across the candidate lifecycle — first touch, screening, scheduling, onboarding, and redeployment of past placements. Two things changed in 2026. Sense started publishing starting prices on its own pricing page after years of quote-gating everything, and it repackaged its AI as Sense AI Recruiter, a named roster of agents sold as its own SKU instead of as features scattered through the engagement platform. The company reports 1,000+ brands on the platform and runs about 477 employees as of February 2026, on $90M raised across four rounds including a $50M Series D from SoftBank Vision Fund 2.

Why it shows up in Recruiting/TA stacks

• Redeployment is why staffing firms buy it. Auto-nurture campaigns against past placements and silver medalists turn an existing database into fillable supply. For a staffing desk, the margin on one redeployed contractor covers a meaningful slice of the annual contract, which is a shorter payback story than any sourcing tool can tell.
• Bullhorn-native. For firms on Bullhorn, Sense is the default automation layer — bidirectional sync, no CSV round-trips. That integration depth, not the AI, is still the reason most staffing buyers shortlist it.
• AI Recruiter is a separate SKU with named agents. Recruiting Orchestration, Messaging (email, SMS/WhatsApp, chatbot, Voice AI), Scheduling, Screening, Candidate Matching, Candidate Evaluation, and Onboarding agents, plus an AI Interviewer and an AI Receptionist. Buying the agents no longer means buying the full engagement platform first.
• Voice AI makes the calls nobody has time to make. Real-time phone conversations that collect information, answer candidate questions, pre-qualify against role criteria, and book the interview inside the same call, with your company name on the caller ID. Sense claims up to 55% faster hiring from its screening automation — vendor-stated, so treat it as a ceiling, not a forecast.

Pricing

Published starting prices, per month, per package:

• Sense Platform for Talent Acquisition — from $7,000
• Sense Platform for Staffing Teams — from $2,000
• Sense Platform for Enterprise Staffing — from $2,000, quoted
• Sense AI Recruiter — from $3,000
• SMS/WhatsApp Messaging, standalone — from $500
• Interview Scheduling, standalone — from $500

Every package includes a dedicated CSM, an implementation manager, three months of hypercare, and 24/7 support.

The floors reset the old planning assumption. Corporate TA starts at $84K/year before adding agents; a staffing desk starts at $24K/year, and $60K/year once AI Recruiter goes on top. The $500 modules are the only way in under five figures, and they buy one job each — messaging or scheduling, not both. Review sites still list Sense as “contact vendor for pricing”; the vendor’s page is ahead of them, so anchor your negotiation on sensehq.com rather than Capterra or G2.

Best for

• Staffing and RPO firms on Bullhorn where redeployment and database reactivation carry the business case
• High-volume corporate TA in retail, healthcare, hospitality, and logistics — hourly roles where response speed decides the hire
• Teams whose bottleneck is candidate response and scheduling throughput rather than sourcing volume
• Buyers who want a published floor to negotiate against instead of a blind first quote

Alternatives — and when to pick them instead

• Paradox — the segment leader, and Workday’s since the October 2025 acquisition; Olivia now ships as the Workday Paradox Candidate Experience Agent. Pick it if you run Workday HCM or Recruiting, where the acquisition converts an integration project into a native one. The head-to-head is in Paradox vs Sense.
• Phenom — pick it when the job is candidate experience across career site, talent CRM, and internal mobility rather than staffing-side automation. Phenom sells the front door; Sense sells the conversation after it.
• Apriora — the fastest-growing entrant in the adjacent lane. Pick it when the bottleneck is the screening interview itself and you want a real-time AI interviewer with cheat detection, not a messaging and scheduling layer that happens to include voice.
• Bullhorn’s own automation plus a scheduling point tool — the cheaper status quo for a staffing firm under about 30 recruiters. Pick it when redeployment volume is too low to clear the $24K floor.

Watch-outs

• Those published numbers are floors, not quotes. Contact volume, message volume, seat count, and ATS integration scope all move the real figure above them. Guard: make the quote itemize each module, name the included volume tier, and cap the overage rate in the order form — an uncapped per-message rate is where a $2,000 floor becomes a $5,000 invoice.
• Configuration is a project, not a setup. Capterra reviewers describe the initial build as demanding and say customization can need expert help; the platform rates 4.7/5 across 38 reviews, so this is a build-cost complaint, not a product-quality one. Guard: name an internal owner before signing, put the implementation manager and the three months of hypercare to work on a written go-live plan, and hold part of the first-year fee against an acceptance test rather than paying it all at signature.
• The product is shaped around SMS. Reviewers flag the messaging surface as text-first — no images or rich formatting — and teams that run candidate communication mainly through email or social will carry a second tool. Guard: run one live req end-to-end during the pilot, on your real channel mix, before you sign the annual.
• Turning on Screening, Evaluation, or the AI Interviewer moves you into regulated territory. Automated scoring that substantially assists a hiring decision is an AEDT question under NYC Local Law 144, and the Colorado AI Act adds deployer duties on the same class of tool. Guard: get the vendor’s disclosure and consent copy plus its bias-audit posture in writing before enabling those agents, and keep a human on every rejection decision.
• No MCP server. Sense exposes an API and ATS integrations, but there is nothing to point Claude or ChatGPT at out of the box. Guard: if agent access to your candidate data is on the roadmap, scope and budget that API work as your own build — don’t price it into the Sense contract as something arriving with the platform.