GigaML Company Research Report
Company Overview
Name
GigaML
Mission
No information is available.
Founding Details
- Founded: 2023
- Founders: Varun Vummadi (Forbes 30 Under 30, drops out of Stanford AI PhD), Esha Manideep (IIT KGP'23 rank 3).
Key People
- Varun Vummadi: Co-founder
- Esha Manideep: Co-founder
- Haseeb Naseer: Salesman
- Tautik Agrahari: Software Development Engineer
Headquarters
- Location: 355 Bryant Street, Unit 403, San Francisco, California
Number of Employees
2-10 employees
Revenue
No information is available.
Notable For
GigaML is known for its AI-powered solutions for customer support, particularly targeting B2C companies. The company's solutions enable secure deployment of Large Language Models (LLMs) on-premises or in virtual private clouds, focusing on maintaining data privacy.
Products
Overview
GigaML provides AI customer support agents capable of handling both voice and chat queries. The solutions are designed to be deployed within the customer's infrastructure, ensuring data privacy and compliance with stringent regulations.
AI Support Agents
- High-Level Description: AI-powered customer support agents designed for B2C companies.
- Key Features:
- Voice and Chat Support: Capable of handling both voice and chat interactions.
- Human-like Interaction: The AI agents are designed to sound like and interact similarly to human agents.
- Multilingual Support: Offers multilingual capabilities across various domains like marketing, social media, HR, and sales.
- Scalability: Can handle unpredictable spikes in customer interactions efficiently.
X1 Large 32k Model
- High-Level Description: Advanced language model tailored for sectors requiring high data security like healthcare, legal, and finance.
- Key Features:
- Fine-tuning Capabilities: Outperforms competitors in fine-tuning, making it ideal for sector-specific applications.
- On-premise Deployment: Can be deployed on the customer's servers, ensuring data privacy.
X1 Mini 7b
- High-Level Description: A smaller, low latency model designed for quick and efficient customer support applications.
- Key Features:
- Low Latency: Offers a latency of 10ms.
- High Performance: Achieves an MT bench score of 7.45, making it powerful for real-time customer interactions.
Recent Developments
Funding and Partnerships
- Seed Funding: Raised $3.6 million in seed funding led by Nexus Venture Partners. Additional investors include Y Combinator, Liquid 2 Ventures, and 8vdx.
- Y Combinator: Part of the Y Combinator S23 batch, with personal investment from Garry Tan, CEO of Y Combinator.
New Product Launches
- X1 Mini 7b: Launched with extremely low latency, suitable for high-speed customer care calls.
- Custom LLM Deployments: Allows enterprises in data-sensitive industries like healthcare and legal to deploy large language models securely on-premises.
New Features
- Workflow Builder: Enables customization of complex workflows for customer support and sales agents.
- Seamless Integrations: Facilitates easy integration with existing tools and data repositories.
- Multiple Model Options: Allows choice between proprietary and open-source models for more accurate and tailored AI solutions.
Strategic Expansion
- Hiring in Bengaluru: GigaML is looking to hire founding engineers with expertise in Django and React to join its team in Bengaluru.
Conclusion
GigaML is emerging as a key player in the AI customer support industry with robust financial backing and innovative products aimed at maintaining high performance while ensuring data security. Their focus on fine-tuning and deploying large language models in sensitive sectors demonstrates a strategic approach to addressing industry-specific challenges.
Contact Sales: For more information or to get started with GigaML, contact sales at [Contact Sales](#).
