A Quick Look at Sense:
Sense is a talent engagement platform using conversational AI to automate candidate communication across SMS, WhatsApp, email, and chat. Their "Grace AI Recruiter" handles sourcing, matching, engagement, and scheduling with deep ATS integrations (Taleo, Workday, Greenhouse, SAP, Bullhorn). Sense targets enterprise clients (Dell, Coca-Cola, Kaiser Permanente, HCA Healthcare) and claims 75% reduction in time-to-offer. Pricing is not disclosed.
The Mokka Difference:
Sense is a multi-channel engagement and communication platform that automates recruiter outreach and scheduling. Mokka is an evidence-based screening platform that automates candidate evaluation and qualification. These solve different problems in the hiring funnel.
- Engagement vs. Evaluation: Sense excels at candidate communication—automated messaging, follow-ups, scheduling, and keeping candidates warm. Mokka excels at candidate evaluation—structured pre-screening interviews, integrity verification, and generating evidence-based qualification profiles. Different pain points.
- Outbound Communication vs. Inbound Screening: Sense is built for recruiters managing high-touch, multi-channel outreach campaigns. Mokka is built for teams drowning in 100-200+ applications per role who need automated, trustworthy screening to identify top candidates.
- Scheduling Automation vs. Pre-Screening Automation: Sense's AI handles interview scheduling and calendar management. Mokka's AI handles the pre-screening interview itself—collecting accomplishment evidence, probing for specifics, and cross-checking responses for integrity.
- Communication Platform vs. Screening Engine: Sense provides the infrastructure for recruiter-candidate conversations at scale. Mokka provides the evaluation layer that determines which candidates deserve those conversations—generating rich profiles that recruiters can review before outreach.
- Enterprise ATS Focus vs. ATS-Agnostic Depth: Sense emphasizes deep integrations with enterprise ATS platforms (Taleo, Workday, SAP). Mokka works with any ATS as an independent screening layer, preserving flexibility to switch systems without losing screening capability.
- Multi-Channel Messaging vs. Multi-Modal Interviewing: Sense offers SMS, WhatsApp, email, and chat for recruiter-initiated communication. Mokka offers text, voice, and video options for candidate-initiated responses to screening questions—supporting accessibility and comfort.
- Database Cleanup vs. Profile Enrichment: Sense includes deduplication and database cleanup features. Mokka enriches candidate profiles with new data (LinkedIn verification, third-party sources, structured interview evidence) rather than just organizing existing records.
- Complementary Tools, Not Competitors: Many teams could benefit from both—Sense for managing candidate communication and engagement at scale, Mokka for screening and qualifying candidates before recruiters invest time in personalized outreach.
Key Questions to Consider:
- After Sense helps you engage 1,000 candidates via multi-channel campaigns, how do you decide which 50 to actually screen and evaluate?
- For roles receiving high inbound application volume, how does a communication platform help reduce the manual screening bottleneck?
- What evidence-based screening happens before your recruiters invest time in SMS campaigns and personalized outreach?
- Can your team benefit from both tools—Sense for engagement and scheduling, Mokka for screening and qualification?
- How does Sense's "Grace AI Recruiter" evaluate candidate quality beyond matching keywords in resumes?
- When an AI agent handles candidate communication, how do you maintain your employer brand voice and ensure compliance with messaging content?