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Symbl.ai

AI-driven conversation intelligence APIs.

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General Information

Founders:

Surbhi Rathore, Toshish Jawale

Founded Date:

2018-05-05

Total Funding Amount:

$23,620,000

Headquarters Region:

Greater Seattle Area, West Coast, Western US

Domain Rating:

Organic Traffic:

1561

Last Equity Funding Amount:

$17,000,000

Last Equity Funding Date:

2021-11-05

Last Equity Funding Type:

Series A

Overview

Symbl.ai is a purpose-built AI platform designed for extracting real-time insights from human conversations. Focused on voice, video, chat, and email interactions, Symbl.ai helps businesses improve customer experience (CX), drive agent performance, and optimize operations.

With LLM-powered conversation intelligence, Symbl.ai enables dynamic agent assistance, full call scoring, real-time analytics, and conversational AI workflows — all accessible through low-code APIs, SDKs, and pre-built solutions.

Key Features

Real-Time AI Voice Agents: Provide 24/7 empathetic customer support, automate inquiries, and manage workflows seamlessly.
Call Scoring API: Fully audit calls, generate unbiased scoring, and deliver data-driven agent feedback for coaching and compliance.
Real-Time Assist: Dynamically guide agents during live calls with suggestions, next-best actions, sentiment analysis, and objection handling.
Unified Conversation Analytics: Aggregate insights from calls, CRM, and QA platforms into a single intelligent dashboard.
Generative APIs (Summarization & Call Score): Summarize conversations, detect key moments, and score calls using GenAI with minimal latency.
Nebula LLM Platform: A specialized large language model fine-tuned for conversational and CX data, enabling accurate, secure AI applications.
Multi-Platform Integration: Supports integration with CRM, BI tools, meeting platforms, and customer service systems.
Enterprise-Grade Security: SOC2 Type II, GDPR, CCPA compliance, and on-premises deployment options.

Pros

Deep CX Focus: Built specifically for customer experience, not generic AI use cases.
Real-Time Performance: Extremely low latency for live interactions and coaching.
Full Call Auditability: 100% call coverage, not just sampling, for fair and unbiased evaluations.
Flexible Deployment: APIs, SDKs, pre-built UI, and on-premises options.
Compliance Ready: Strong security and data privacy standards for regulated industries.

Cons

Designed for Enterprises: Best suited for companies with mature sales, support, or CX operations.
Setup Complexity: Full-scale implementations may require technical integration expertise.
No Standalone Video/Multimedia Creation: Focus is purely on conversation intelligence, not content creation.

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