Provides a unified AI platform leveraging small, real-time, multi-modal models that deploy on edge devices and enterprise clouds. These models enable hyper-personalized interactions with minimal latency (100ms) and 10x lower compute costs, addressing the need for scalable, cost-effective AI solutions in diverse applications.
Funding
$21M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MSSVSV+2Founders
Product
Problem
Enterprises face challenges in automating and augmenting contact center operations due to the limitations of existing AI models, which often lack the speed, quality, and cost-effectiveness required for real-time communications. Traditional AI solutions struggle to deliver human-like voice interactions and require significant computational resources, hindering their scalability and accessibility.
Solution
Smallest.ai provides a Voice AI suite designed to augment and automate contact center operations in real time. The platform offers both Voice Agents and Models, leveraging small, real-time, multi-modal models that can be deployed on edge devices and enterprise clouds. Smallest.ai's technology enables enterprises to transcribe, analyze, and respond to live calls, unlocking real-time insights and facilitating smarter conversations. The platform's AI models are trained on human data to ensure natural speech understanding and high-quality voice synthesis in multiple languages.
Target Audience
The primary target audience includes enterprises seeking to automate and augment their contact center operations, as well as developers looking for accessible and efficient voice AI solutions.
Features
- Lightning V2 Text-to-Speech: Delivers fast, human-like AI text-to-speech in 16+ languages with 100ms streaming latency.
- Electron SLMs: In-house models trained on millions of conversations for natural speech understanding.
- Voice Agentic Platforms: Enable custom analytics and integrations to maximize the effectiveness of voice AI.
- On-Premise Deployment: Offers deployment options on edge devices and enterprise clouds.
- Telephony, Analytics, and Integrations: Provides a full-stack AI solution for contact centers.
- SDKs: Build with Node and Python SDKs.
- Enterprise-Grade Security: Compliant with SOC 2 Type 2, HIPAA, and PCI standards, ensuring data security in the cloud and on-premises.