It all starts with quality transcription.
SalesRiver AI employs a state-of-the-art multilingual speech-to-text model that ensures industry-leading accuracy and usability across various languages and dialects. This advanced model is specifically engineered to achieve the industry’s lowest Word Error Rate (WER) of 7.3%, outperforming other major players such as OpenAI (8.4%), Azure (9.4%), Deepgram (9.5%), AWS (9.5%), and Google (13.6%). This superior accuracy is critical for businesses that rely on precise and reliable transcription services.
SalesRiver AI streamlines transcription quality with several sophisticated features - including Custom Vocabulary for industry-specific terms, Speaker Diarization to identify multiple speakers, Auto-Punctuation and Casing for well-formatted outputs, Confidence Scores for word accuracy, Automatic Language Detection for seamless multilingual support, and Word Timings for precise text alignment with audio.
High-quality transcription is the cornerstone of successful AI analysis. By generating accurate and detailed transcriptions, SalesRiver AI ensures that the data fed into our large language model (LLM) is of the highest integrity, allowing for more precise and insightful data analysis.
CAPABILITIES
Endless data for
endless capabilities.
Disposition Detection
Determine the outcome of a call (sale, opportunity, no sale, do not contact) with >95% accuracy.
Carrier Distribution
For each sale made, determine the carrier for the plan that was sold. Customizable for non-insurance industries.
Agent Scoring & Coaching
Multi-categorical scoring & coaching on every call. Use this for skill-based routing and countless other use cases.
Marketing Source Scoring
Score every marketing channel by buyer intent & understanding throughout the call. Use this to optimize marketing budget & routing.
Compliance Monitoring
Track compliance deviations in real-time. Set alerts to catch issues before they become a problem.
Custom Data Extraction
Extract any data from your conversations at scale. Ex: Are my agents saying "X…"? Are my agents introducing themselves properly? Are my agents collecting an SOA?