Crankshaft offers an AI-driven platform that verifies buyer intent and call quality in real-time for sales teams. It analyzes live conversations to ensure sales representatives connect only with high-intent prospects, optimizing productivity and reducing wasted outreach spend.
Funding
Funding not disclosed
Founders
Product
Problem
The traditional outbound sales model is inefficient, characterized by automated outreach, low-quality leads, and significant wasted spend. This results in sales teams spending excessive time on unqualified prospects rather than engaging with genuine buyers.
Solution
Crankshaft provides an AI-driven platform that verifies buyer intent and call quality in real-time, ensuring that sales teams connect only with high-intent prospects. The system acts as an AI referee, analyzing live conversations to confirm genuine interest and compliance before a transfer occurs. This approach optimizes sales team productivity by focusing their efforts on actionable leads, thereby maximizing return on investment and minimizing operational costs associated with unqualified outreach.
Target Audience
The primary customers are sales agencies and call centers operating in verticals such as Medicare, Final Expense, Mass Tort, and various insurance and financial services sectors, seeking to improve lead quality and sales efficiency.
Features
- Real-time AI-powered voice analysis for call transcription and quality scoring using a proprietary LLM rubric.
- Intent detection algorithms that score buyer intent with over 94% accuracy.
- Automated TCPA and DNC compliance scrubbing to prevent calls to restricted numbers.
- Instantaneous lead bridging for seamless, low-latency call transfers to sales closers.
- Full-stack, in-house platform architecture designed for stability and high performance.
- Automated CRM data synchronization with AI-assisted data augmentation from call analysis.
- Transparent pricing model where payment is contingent on verified call quality and successful transfers.
- Dispute resolution process leveraging AI-analyzed call transcripts and objective scoring criteria.