Jumpstart your new AI application with Symbl.ai
Quickly Go From Proof of Concept to Unlocking Business Value
Posted by Mateo de Monasterio
on August 1, 2024 · 2 mins read
In the rapidly advancing field of artificial intelligence and machine learning, Product Leaders face significant pressures to quickly develop and deploy new AI-driven products. The quickest way to test if an AI product is viable is by building a PoC (Proof of Concept).
However, in today's ultra competitive landscape, Product Leaders cannot afford to linger in endless research cycles that fail to translate into revenue-generating products.
Prolonged efforts of this kind, going back and forth with PoCs, risk wasting resources without delivering tangible results. A successful PoC must be done as swiftly as possible, so implementation can start with the least amount of delays possible, thus a revenue generating product can hit the market.
Addressing these challenges requires not just innovative thinking but also applying tools effectively and having strategic partnerships in place.
At Mutt Data, we're intimately familiar with these challenges, having crossed this terrain ourselves and guided numerous clients through the unique challenges associated with the rapid development of successful, production-ready systems since their inception as R&D initiatives. So, this is where Mutt Data, in collaboration with Symbl.ai, provides a seamless solution right from the initial PoC to a robust, revenue generating system.
The combination of Mutt Data’s technical expertise in Machine Learning and Data Platforms and Symbl.ai’s cutting edge AI technology solves the problem of generating value starting with a PoC. Mutt Data provides know-how to expedite data usage in the PoC, among others, while Symbl.ai’s pre-built, specialized understanding and generative models eliminate the cost of acquiring data and training models from scratch and accelerates time to value.
Using Symbl.ai to Quickly Deliver AI Value
Symbl.ai offers state-of-the-art understanding and generative models with easy to use APIs and SDKs to build real-time voice intelligence in applications. SDKs can be integrated with a few lines of code and Symbl.ai’s enterprise grade API means PoCs are developed faster, you get to implementation and production quicker, and you ensure to always be in compliance, therefore having your AI product ready for the market much faster.
Symbl’s portfolio of products include: 1 - Speech recognition and Task specific models - Entities, Sentiment, and Intents. 2 - Generative models - Nebula LLM & Embeddings model. 3 - Applied AI offerings - Call Score API, Real Time Assist & Insights UI
- Speech recognition and Task specific models - Entities, Sentiment, and Intents. Symbl's end-to-end real-time AI platform and task specific models can be used to process video, audio and text conversations in real-time or asynchronously and derive conversational intelligence such as overall sentiment, topics discussed, questions asked and much more.
- Generative models - Nebula LLM & Embeddings model. Nebula LLM can be used to perform tasks such as analyzing conversation transcripts and generating summaries, follow-up questions, drafting emails, identifying and recommending resolutions to customer issues and much more. Using Nebula, businesses and developers across verticals have built real time GenAI experiences involving human conversations such as real time assistance for frontline teams and voice bots.
- Applied AI offerings - Call Score API & Insights UI that enable evaluation of call quality and participant performance at scale for personalized coaching. With Symbl.ai’s specialized models, customers can build real time generative AI use cases and experiences on voice such as real time assistance or voice bot for frontline teams, accelerating time to market and ultimately improving customer experience, deal closure rate, deal velocity, and more.
Symbl.ai + Mutt Data to the rescue!
If you’re looking for a team of experts who can jumpstart your latest AI product: Mutt Data is your team! And if you want to be as successful as we are at deploying value to our users, be sure to read more about how we use Symbl.ai on their partner site.