What Symbl.ai does

Symbl.ai, operating through its legal entity Rammer Technologies, Inc., was a Seattle-based, venture-backed conversation intelligence platform that built speech understanding and generative AI APIs for developers and enterprises. Its technology stack centered on Nebula, a proprietary large language model based on the Llama-2 architecture and pre-trained on 1T tokens with 100K+ fine-tuned business conversations across 160+ conversational tasks, supplemented by Nebula Embeddings optimized for dialogue data. The platform exposed a unified API surface covering real-time and asynchronous speech-to-text, named entity recognition, aspect-based sentiment analysis, custom zero-shot trackers, redaction, generative summarization, call scoring, and a real-time assist module, with integrations into CRM (Salesforce, HubSpot), BI (Tableau, Power BI, Looker, Sisense, Qlik, ThoughtSpot), virtual meeting platforms (Zoom, Microsoft Teams, Google Meet, Webex), and data warehouses (Snowflake, BigQuery, AWS Redshift, Databricks).

The company monetized through a three-tier model: a free developer tier, a pay-as-you-go usage-based tier (priced per audio/video minute or text word), and a custom enterprise tier with SLAs, custom concurrency, Nebula LLM access at scale, and on-premises or VPC deployment. Its go-to-market combined a self-serve API-first developer motion (with SDKs, a Slack community, GitHub sample apps, and an interactive Nebula Playground) with an enterprise field sales motion targeting sales intelligence, customer service, healthcare, financial services, and legal verticals. Symbl.ai held SOC 2 Type II, HIPAA BAA, PCI DSS, GDPR, and CSA CAIQ certifications, supporting sales into regulated industries. Founded in 2018 by Surbhi Rathore (CEO) and Toshish Jawale (CTO), the company raised approximately $23.6M in total funding across 2019-2021 and was acquired by Invoca in May 2025.

Name

Symbl.ai

Legal name

Rammer Technologies, Inc.

Website

https://symbl.ai

Company type

Private

Founded year

2018

Operating status

Acquired

Headcount range

51–100 employees

Short description

Symbl.ai (Rammer Technologies, Inc.) was a Seattle-based conversation intelligence platform offering proprietary Nebula LLM-powered APIs for transcription, sentiment, entity recognition, and generative call analytics, serving developers and enterprises in sales, customer service, healthcare, financial services, and legal verticals until its 2025 acquisition by Invoca.

Ownership category

akta.pro rank

Product category

Conversation Intelligence Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151), Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Conversational AI Platforms (chat/voice bots, orchestration) (HDAAAFAC)

akta.pro secondary industries

Conversational NLP & Dialogue Management (chatbots, agents) (HDAAADAF), Contact Center Speech AI (agent assist, IVR automation) (HDAAAFAL), Voice Assistants & Voice UI (VUI) (HDAAAFAD)

Keywords

• Conversation intelligence platform
• Speech-to-text API
• Conversational large language model
• Real-time transcription services
• Enterprise AI integration

Headquarters

HQ city

Seattle

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. API Usage-Based Billing (Audio/Video): Customers are charged per minute of audio/video processed. Free tier includes 1,000 mins/month. Pay-as-you-go pricing tiers: first 1,000 mins at $0, next 29,000 mins at $0.027/min, and volumes above 30,000 mins at $0.017/min. Enterprise plans offer custom high-volume discounts.
2. API Usage-Based Billing (Text): Customers charged per word of text processed. Free tier includes 10,000 words/month. Pay-as-you-go pricing: first 10,000 words at $0, next 3.74M words at $0.0002/word, and above 3.75M words at $0.00012/word.
3. Call Score API: Charged per criteria per conversation at $0.10 per criteria per conversation in the Pay-as-you-go plan. Free tier includes up to 50 criteria per month.
4. Real Time Assist API: Free tier includes up to 5 minutes of real-time assist per month. Additional usage requires contacting sales for custom pricing.
5. Enterprise Plans: Enterprise tier includes high-volume usage discounts, custom concurrency limits, Nebula Model API access at scale, enterprise support & SLAs, and deployment in private environment (VPC or on-prem). Pricing is custom/quote-based.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels10 records

Core offering

Symbl.ai provides a conversation intelligence platform combining a proprietary large language model (Nebula) with a suite of speech-to-text, generative, and understanding APIs that transcribe and analyze voice, video, and text conversations in real-time and asynchronously. Offerings include Transcription, Summary, Call Score, Sentiment, Entities, Tracker, Redaction, Real-Time Assist, and a pre-built Insights UI, sold via freemium, usage-based, and enterprise subscription tiers to developers and enterprise customers.

Product overview

Symbl.ai is a conversation intelligence platform providing speech understanding and generative AI APIs. The platform consists of the Nebula LLM (proprietary large language model) and Nebula Embeddings as the core AI infrastructure, supplemented by Generative APIs (Call Score, Summary), Understanding APIs (Transcription, Entities, Sentiment, Redaction, Tracker), and Insights UI for pre-built visualization. Real-time Assist enables live AI assistance during conversations. Products support deployment in public cloud, VPC, or on-premises environments.

Differentiator

Problem solved

Functional benefit

Brands

• Nebula: A purpose-built large language model (LLM) for understanding human conversations, based on the open-source Llama-2 family and enriched by continuous pre-training on high-quality conversation-specific datasets.

Products and services

• Nebula LLM Proprietary large language model purpose-built for conversational AI, fine-tuned on 160+ conversational tasks (summarization, Q&A, sentiment, entity extraction, communication drafting, agenda generation) with a 16K token context window. Sold to developers and enterprises for embedding conversation understanding and generation into their own applications.
• Nebula Embeddings Vector embedding models optimized for conversational data that power search, clustering, recommendations, classification, and ranking. Sold to developers and enterprises for semantic understanding of conversation transcripts.
• Transcription API Speech-to-text API with a unified modeling approach for lower word error rate and word information loss. Supports real-time WebSocket streaming and asynchronous processing of audio and video, with speaker diarization, 20+ languages and accent variations, paragraph formatting, real-time captioning, and custom vocabulary.
• Call Score API GenAI-powered API that evaluates the performance of AI and human agents on conversations using customizable criteria and scoring logic, generating scores out of 100 per business-defined criteria with support for custom scorecards across conversation stages.
• Summary API Generative API that distills video, audio, or text conversations into concise summaries using abstractive summarization. Supports bullet-list or paragraph formats, short/medium/long lengths, and speaker attribution.
• Entities API Named Entity Recognition API for real-time detection of 50+ managed entities across PII, PCI, PHI, and General categories. Supports custom entity creation via Management API and works in real-time streaming and asynchronous modes.
• Sentiment API API providing sentence-level sentiment polarity in the -1 to +1 range with positive, neutral, and negative labels. Performs aspect-based sentiment analysis combined with topic modeling for contextual relevance, in real-time and post-call modes for audio, video, and text.
• Redaction API API that identifies and conceals sensitive information from transcripts using managed entities, supporting real-time redaction, multiple output formats (obfuscate, custom string), and compliance with HIPAA, GDPR, CCPA, and PCI SSC. Custom entity redaction is also supported.
• Tracker API Zero-shot learning, open-domain API for detecting keywords, phrases, intents, and entities in conversations. Offers 40+ prebuilt trackers across 4 categories and supports real-time detection and bulk creation/management.
• Insights UI Pre-built, low-code UI for displaying conversation insights including call scores, summaries, sentiment analysis, next steps, objections, and Q&A. Offers list view and details view, customizable look and feel, and hosted/managed deployment.
• Nebula On-Prem / VPC Deployment Deployment offering that runs the Nebula LLM and full Symbl.ai API stack within a customer's own data center or VPC environment. Available in Base Model and Large Model variants with VPC support, designed to meet data residency and compliance requirements in financial services, healthcare, and legal industries.
• Real-Time Assist Real-time AI assistance for frontline workers that generates responses to customer queries, detects intent, analyzes sentiment, scores calls, and provides coaching nudges during live calls. Supports domain-specific knowledge augmentation via KB articles and custom trackers as triggers. Sold as a standalone real-time assist offering.

Quantifiable outcome

• Nebula outperforms LLaMA 2 and GPT-3.5-turbo on conversation-centric benchmarks: Summarization 89.2 vs 81.4/76.9; Note Taking 86.7 vs 78.7/82.6; Communication 87.2 vs 80.4/79.8; Scoring and Analysis 88.1 vs 79.2/81.1
• +2 more outcomes

Named customers1 record

Segments6 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration22 records

AI capability15 records

Feature12 records

Partnerships

17 partnerships are on record, tiered core and minor.

• SalesforcecoreTechnology or IntegrationCRM integration enabling Symbl conversation insights (call scores, summaries, sentiment) to be pushed directly into Salesforce for use within CRM analytics and reporting tools. Offered as a managed package for quick deployment.
• HubSpotcoreTechnology or IntegrationCRM integration enriching HubSpot customer records and sales pipeline with Symbl conversation insights, eliminating toggling between tools and enabling data-driven sales conversations within HubSpot.
• TableaucoreTechnology or IntegrationBI integration allowing Symbl structured conversation insights to be visualized in Tableau dashboards, combining conversational data with proprietary business data for enhanced decision-making.
• Power BIcoreTechnology or IntegrationBI integration enabling AI-driven conversation insights visualization in Microsoft Power BI, enhancing analytics with context derived from customer interactions.
• ZoomcoreTechnology or IntegrationVirtual meeting platform integration providing real-time transcription, conversation analytics, and post-meeting summaries for Zoom meetings without requiring complex integration development.
• Microsoft TeamscoreTechnology or IntegrationIntegration with Microsoft Teams providing real-time conversation insights, topic detection, and summary capabilities directly within Teams meetings.
• Google MeetcoreTechnology or IntegrationIntegration with Google Meet enabling real-time transcription and conversation analytics for Meet video conferences.
• Cisco WebexcoreTechnology or IntegrationIntegration with Cisco Webex providing real-time conversation intelligence, transcription, and post-meeting analysis for Webex meetings.
• SnowflakecoreTechnology or IntegrationData store integration pushing Symbl conversation insights into Snowflake data warehouse. Symbl manages data pipelines, enabling customers to enrich their data with AI-driven conversation intelligence.
• Google BigQuerycoreTechnology or IntegrationIntegration pushing conversation insights to Google BigQuery for advanced analytics and data warehousing use cases.
• Amazon Web Services (AWS) S3 / RedshiftcoreTechnology or IntegrationIntegrations with AWS S3 and Redshift data storage services, enabling customers to store and analyze conversation insights within the AWS ecosystem.
• DatabrickscoreTechnology or IntegrationIntegration with Databricks enabling customers to combine Symbl conversation insights with their lakehouse architecture for advanced analytics and ML workloads.
• Microsoft SQL ServercoreTechnology or IntegrationData store integration enabling enterprise customers to push Symbl conversation insights directly into Microsoft SQL Server for analysis alongside existing relational data.
• TwiliocoreTechnology or IntegrationIntegration listing available at Symbl's integration marketplace enabling developers to add conversation intelligence to Twilio-powered applications.
• VonagecoreTechnology or IntegrationIntegration marketplace listing enabling Vonage application developers to incorporate Symbl conversation intelligence capabilities.
• AgoracoreTechnology or IntegrationIntegration marketplace listing for adding Symbl conversation intelligence to Agora real-time engagement applications.
• Georgia Institute of TechnologyminorStrategic or Co-development PartnerAcademic research partnership with Larry Heck, Chief Scientist of Tech AI at Georgia Tech, contributing to Symbl's research in multimodal conversation understanding, learning to reason, and active learning.

Scale indicators6 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• Cresta: Cresta provides real-time AI agent assistance, coaching, and conversation intelligence for contact centers — overlapping Symbl.ai's Real-Time Assist and contact-center sales motion.
• Deepgram: Deepgram offers developer APIs for speech-to-text, text-to-speech, and conversational AI with a focus on enterprise accuracy and custom models — directly overlapping Symbl.ai's transcription and conversational intelligence capabilities.
• AssemblyAI: AssemblyAI provides speech recognition and audio intelligence APIs (transcription, sentiment, summarization, content moderation) targeting developers and enterprises — closely comparable to Symbl.ai's API-first conversation intelligence stack.
• Speechmatics: Speechmatics delivers cloud and on-prem speech recognition with strong multilingual support — competing directly with Symbl.ai's Transcription API in accuracy, language coverage, and enterprise deployment flexibility.
• Rev.ai: Rev.ai offers automated speech-to-text APIs and conversation intelligence for sales, meeting, and contact-center workflows — overlapping Symbl.ai's transcription and call analytics offerings.
• Otter.ai: Otter.ai provides meeting transcription, summarization, and conversation intelligence for Zoom, Teams, and Google Meet — directly comparable to Symbl.ai's Meeting Notes and virtual meeting platform integrations.
• Gong.io: Gong is a leading revenue intelligence platform that captures and analyzes sales calls for coaching, deal visibility, and forecasting — competing with Symbl.ai's Call Score, Real-Time Assist, and sales intelligence use cases.
• Observe.AI: Observe.AI is a contact center AI platform providing real-time agent assist, call scoring, and conversation analytics — directly comparable to Symbl.ai's Real-Time Assist and Contact Center customer segment.

Broad incumbents

• Amazon Web Services (Transcribe + Comprehend): AWS offers Transcribe (speech-to-text), Comprehend (NLP), and Bedrock (foundation models) as part of a broad cloud AI portfolio — competing with Symbl.ai across transcription, NER, and sentiment APIs with massive distribution advantages.
• Microsoft Azure Cognitive Services (Speech + Language): Azure offers Speech-to-Text, Text Analytics, and Azure OpenAI Service as part of its enterprise cloud platform — competing with Symbl.ai across the full conversation intelligence stack with deep Microsoft Teams integration.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/symbldotai
• GitHubgithub.com/symblai
• YouTubeyoutube.com/channel/UCpqOyNdFI0kASCZL-eCnkcA
• Facebookfacebook.com/symbldotai
• LinkedInlinkedin.com/company/symblai
• Instagraminstagram.com/symbldotai

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds5 records

Investors16 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Symbl.ai