A $2M deal evaporated in the 24 hours it took to follow up. Now reps answer technical questions live, in under a second.
A startup building real-time in-call intelligence for enterprise sales reps, founded after its CEO lost a $2M VMware deal when a technical question went unanswered during a live call.
Building a platform useful during live enterprise calls required surfacing the right answer from disorganized knowledge bases spanning Slack, PDFs,...
“Speed is key. By moving to the voyage-4-large model, our retrieval latency dropped from 300ms to 100ms across P50, P95, and P99. Voyage AI provides the accuracy and performance we need to deliver answers in under a second while the conversation is still happening.”
AI agents for real-time sales engineering and meeting automation.
Multi-cloud developer data platform for building and scaling applications.
Tenali AI's In-call sales answers is part of this use case:
Related implementations across industries and use cases
Adding one attribute to a 300M-item catalog took days of rebuilds. Unifying vector and product data unlocked real-time hybrid search.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A $2M deal evaporated in the 24 hours it took to follow up. Now reps answer technical questions live, in under a second.
A startup building real-time in-call intelligence for enterprise sales reps, founded after its CEO lost a $2M VMware deal when a technical question went unanswered during a live call.
Building a platform useful during live enterprise calls required surfacing the right answer from disorganized knowledge bases spanning Slack, PDFs,...
“Speed is key. By moving to the voyage-4-large model, our retrieval latency dropped from 300ms to 100ms across P50, P95, and P99. Voyage AI provides the accuracy and performance we need to deliver answers in under a second while the conversation is still happening.”
AI agents for real-time sales engineering and meeting automation.
Multi-cloud developer data platform for building and scaling applications.
Tenali AI's In-call sales answers is part of this use case:
Related implementations across industries and use cases
Adding one attribute to a 300M-item catalog took days of rebuilds. Unifying vector and product data unlocked real-time hybrid search.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.