smallest.ai

About smallest.ai

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.

```xml <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.</problem> <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.</solution> <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. </features> <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. </target_audience> ```

What does smallest.ai do?

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.

When was smallest.ai founded?

smallest.ai was founded in 2023.

Founded
2023
Employees
14 employees
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smallest.ai

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

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.

smallest.ai3K+
Founded 2023

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (10+)

Akshat Mandloi

Building smallest.ai

Sudarshan Kamath

Building smallest.ai

Manav Lakhadive

Building smallest.ai

Company Description

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.

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.

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.