Symbl.ai is democratizing conversational tech to make collaboration effortless at scale. Amazon, venture, and Techstars'19 backed, we created a new category of conversational tech infrastructure - contextual voice and text analytics applied to human conversations such as those found in your typical sales, meeting, support, education, or other business conversation.
We empower developers and businesses to deploy conversation intelligence at scale without the need for upfront training, wake words, or building custom classifiers.
Our comprehensive suite of APIs unlocks proprietary machine learning algorithms that can ingest any form of conversation data to identify actionable insights across domains and channels (voice, email, chat, social) in real-time.
Other capabilities include - real-time transcription, speaker identification, contextual topics, action items, follow-ups, questions, sentiments, entities, intents. API interface extends across - Websocket, Telephony, Asynchronous Voice, Video, and Text Channels. Whether the highest priority is accessing full transcriptions, automating follow-ups, or the intelligence found in between, Symbl empowers businesses to keep pace with all conversations.
We empower developers and businesses to deploy conversation intelligence at scale without the need for upfront training, wake words, or building custom classifiers.
Our comprehensive suite of APIs unlocks proprietary machine learning algorithms that can ingest any form of conversation data to identify actionable insights across domains and channels (voice, email, chat, social) in real-time.
Other capabilities include - real-time transcription, speaker identification, contextual topics, action items, follow-ups, questions, sentiments, entities, intents. API interface extends across - Websocket, Telephony, Asynchronous Voice, Video, and Text Channels. Whether the highest priority is accessing full transcriptions, automating follow-ups, or the intelligence found in between, Symbl empowers businesses to keep pace with all conversations.
Location: United States, California, San Jose
Employees: 11-50
Phone: +1 425-553-5441
Founded date: 2018
Investors 3
Mentions in press and media 4
| Date | Title | Description |
| 09.09.2019 | Techstars Seattle grad Rammer.AI raises $1.8M to democratize ‘conversational intelligence’ tech | Rammer.AI co-founder Surbhi Rathore pitches at Techstars Seattle Demo Day in May. (GeekWire Photo / Taylor Soper) Rammer.AI wants to help put “conversational intelligence” capabilities in the hands of more developers. The Seattle startup ju... |
| 08.05.2019 | The top 3 pitches from Techstars Seattle 2019 Demo Day | The tenth Techstars Seattle cohort gathers after Demo Day on Tuesday at Seattle’s Museum of History and Industry. (GeekWire Photos / Taylor Soper) From Seattle to Miami, from blockchain to augmented reality — it was another round of polishe... |
| 24.03.2019 | Meet the newest Techstars Seattle class: 10 founders share their pitch and startup tips | (Techstars Seattle Photo) Validate the market. Sell before you build. Seek failure. And go all in. Those are some of the tips shared by founders participating in the latest Techstars Seattle class. GeekWire caught up with the entrepreneurs ... |
| 11.02.2019 | Q&A: Techstars Seattle leader reflects on a decade of accelerating startups, unveils 10th cohort | Techstars Seattle 2018 founders after Demo Day last year. (GeekWire Photo / Taylor Soper) The Seattle tech ecosystem has changed plenty in the past decade. New startups have grown or died off; the investment scene looks much different; and ... |