Invoca
AI-powered conversation intelligence to bridge the gap between digital marketing and offline revenue.
Transform fragmented customer conversations into autonomous operational intelligence.
Echo.ai (formerly known as Pathlight) represents the 2026 frontier of conversation intelligence by moving beyond simple transcription into deep semantic understanding of the customer journey. Its architecture utilizes a multi-model LLM ensemble to ingest data from disparate sources including Zoom, Slack, Zendesk, and Salesforce. Unlike legacy tools that rely on keyword matching, Echo.ai employs high-dimensional vector embeddings to identify underlying customer intent and sentiment nuances. By 2026, the platform has pivoted heavily into 'Autonomous Coaching,' where AI agents provide real-time intervention suggestions to human representatives during live interactions. The platform's core value proposition lies in its 'Narrative Generation' engine, which distills thousands of hours of audio and millions of text strings into executive-level briefings. This allows organizations to close the feedback loop between front-line support and product development without manual tagging. Its technical stack is optimized for low-latency processing of long-form audio and supports granular PII redaction for enterprise-grade security compliance across regulated industries.
Uses zero-shot learning to grade 100% of customer interactions against custom rubrics without human intervention.
AI-powered conversation intelligence to bridge the gap between digital marketing and offline revenue.
The Revenue Productivity Platform for AI-driven sales readiness and conversation intelligence.
Turn every sales conversation into actionable revenue intelligence and automated coaching.
AI-Driven Meeting Intelligence for High-Performance Revenue Teams.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Unsupervised machine learning that groups conversations by intent rather than keywords.
Proprietary NLP model that measures tone, resonance, and pacing to quantify soft skills.
Correlates conversation sentiment shifts with historical customer churn patterns.
Synthesizes data across email, chat, and phone into a single chronological customer story.
Streaming audio analysis that pushes live 'talking points' to agents via browser WebSocket.
Regex and NER (Named Entity Recognition) combined to strip PCI/PHI data at the edge.
Support teams are overwhelmed by repetitive queries that documentation fails to address.
Registry Updated:2/7/2026
New sales hires struggle with consistent messaging during pricing objections.
Marketing lacks real-time data on how often competitors are mentioned in sales calls.