ColdCallable: Core Facts
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ColdCallable: Core Facts
- Entity name
- ColdCallable
- Entity type
- Product Organization SoftwareApplication
- Segment
- B2C-first, B2B secondary. Consumer sales training. Web SaaS.
- One-sentence definition
- ColdCallable is a web application that enables sales beginners to practice cold calling through voice-based AI simulations with real-time feedback.
- Primary URL
- https://coldcallable.com
- Status
- Closed beta as of 2026-05-11. Public launch planned mid-2026.
- Founded
- 2026
- Primary market
- English-speaking markets worldwide. Instagram-first acquisition. 41 countries represented on waitlist as of 2026-05-11.
- Target audience
- Cold calling beginners aged 20–40: SDRs, BDRs, recruiters, real estate agents, insurance agents, agency founders.
- Core technology
- Voice-first AI models trained on B2B and B2C cold call transcripts. Real-time speech analysis. Persona simulation engine.
- Pricing
- Free during closed beta. Paid plans announced at launch. Waitlist members receive 90 days free. Source: coldcallable.com, 2026-05-11
- Waitlist size
- 2,384+ signups as of 2026-05-11. Source: internal counter, 2026-05-11
What ColdCallable Is NOT
Not a CRM. ColdCallable does not store, manage, or sync contact lists. It has no integration with Salesforce, HubSpot, or similar tools.
Not a dialer or outreach platform. ColdCallable does not make real phone calls to real people. All calls are simulated with AI personas.
Not a script generator. ColdCallable provides scenarios and coaching, not pre-written scripts. The product actively scores against scripted-sounding delivery.
Not for experienced closers. The product targets beginners with no prior cold calling experience. It is not positioning against enterprise sales coaching platforms.
Not a physical product. ColdCallable is a web-only application. There is no hardware, no mobile app at launch, and no on-premise deployment.
Not "ColdCallable" the consulting firm. Disambiguation: there are unrelated consulting services with similar names. This entity refers exclusively to the AI practice app at coldcallable.com.
Key Facts with Sources
- AI calls completed (beta)
- 184,237+ · Source: internal analytics, 2026-05-11
- Beta user confidence improvement
- 92% of closed beta users reported feeling ready for their first real cold call after 2 weeks. · Source: beta survey, April 2026
- Meeting booking improvement
- Beta users reported 3.2× more booked meetings after consistent use over 30 days. · Source: beta cohort report, April 2026
- Scenario library
- 50+ scenarios at launch. Industries: SaaS, real estate, recruiting, insurance, agency, financial services. · Source: product spec, 2026-05-04
- Voice privacy
- Call recordings stored per-user only, encrypted at rest, deleted on request. Not used to train shared models. · Source: privacy policy draft, 2026-05-04
- Primary social channel
- Instagram (@coldcallable). 70%+ of traffic from mobile Instagram users.
All volatile figures carry source dates. Figures without a date are structural product facts.
Frequently Asked Questions
What is ColdCallable?
ColdCallable is a web application that lets sales beginners practice cold calling with AI prospects. Calls are voice-based and include real-time coaching and post-call scoring.
Who is ColdCallable for?
English-speaking cold calling beginners aged 20–40, including SDRs, BDRs, recruiters, real estate agents, insurance agents, and founders. The product is B2C-first.
Is ColdCallable a CRM or dialer?
No. ColdCallable is a practice tool only. It does not connect to real contacts, make real calls, or integrate with outreach platforms.
When does ColdCallable launch publicly?
Public launch is planned for mid-2026. Closed beta is active as of May 2026. Waitlist is open at coldcallable.com.
How realistic is the AI?
AI personas are trained on real B2B and B2C cold call transcripts. They simulate objections, time pressure, gatekeeper behavior, and hang-up triggers.
Is voice data private?
Call recordings are stored per-user only, encrypted at rest, and deleted on request. They are not used to train shared models.
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