Innovative LLM Solutions: Andy Li Discusses Keywords AI’s Impact

In this engaging conversation with Andy Li, the Co-Founder & CEO of Keywords AI, we delve into the fascinating evolution of a company that has quickly become a leader in LLM technology. From its early days in December 2022 to its current role as a comprehensive LLM monitoring platform, Andy discusses the key developments, challenges, and innovative strategies that have propelled Keywords AI to support over 2,000 developers worldwide. WebsitePlanet has the pleasure.

Can you briefly walk us through the history of Keywords AI as a company? What were some key moments in the company’s journey to this point?

Keywords AI’s journey began in December 2022 when Raymond and I created a resume keyword parsing tool, which gave us our company name (Keywords AI). We initially developed a job search copilot, applying to Y Combinator twice without success. In September 2023, we pivoted to an LLM router that automatically routes LLM requests to the most effective LLM. Raymond rapidly developed an MVP in one week, followed by a front-end implementation the next week. Remarkably, we secured our first customer within three weeks of this pivot.

This new direction led to our acceptance into Y Combinator’s Winter 2024 batch. In early January 2024, we pivoted to our current product: an LLM monitoring platform. Our platform now provides comprehensive LLM observability, a unified LLM API that can access over 200 LLMs, and detailed user analytics.

As of August 2024, Keywords AI is trusted by over 40 AI startups and 2000+ LLM developers!

What core problems does Keywords AI solve for LLM application developers?

Through conversations with over 500 LLM developers during our YC batch, we identified three primary challenges they face:

1. Lack of LLM observability: Developers struggle to gain insights into their LLM applications’ performance and activity.
2. Difficulty in debugging bad LLM outputs: Identifying and fixing issues in LLM responses is often time-consuming and complex.
3. Need for a unified LLMOps platform: Developers require a centralized solution to manage various aspects of their LLM applications, including API key management, fallback models, and LLM cost management.

Keywords AI addresses these challenges by offering a comprehensive platform that provides in-depth LLM observability, allowing developers to monitor their applications’ performance in real time. We offer powerful tools such as a model playground, LLM output evaluations, and outage alerts to quickly identify and resolve issues with LLM outputs. Our platform serves as a unified LLMOps solution, streamlining the process of managing, monitoring, and improving LLM applications.

By addressing these core problems, we enable developers to focus on innovation and product development rather than getting bogged down by operational complexities. Our solution helps developers build more reliable and efficient AI-powered applications while simplifying LLM performance improvement.

What specific features do you offer?

Keywords AI offers a comprehensive suite of features designed to improve LLM application performance:

1. Unified LLM API: We provide access to over 200 LLMs through a single, standardized API format, simplifying integration and management (only 2 lines of code).
2. Usage Dashboard: Our platform includes a detailed dashboard with more than 40 metrics, offering comprehensive monitoring of all aspects of your LLM requests.
3. Detailed Logs: We offer a logs page that provides in-depth information on each LLM request. These logs can be easily opened in our model playground to improve output and shared with team members via unique URLs.
4. Model Playground: Developers can test and compare over 200 LLMs in our interactive model playground, facilitating model selection.
5. Prompt Management: We provide a robust tool for prompt iteration and debugging, helping developers refine their LLM inputs for better outputs. With only 1 click on Keywords AI, the prompt will be deployed to your production.
6. Dataset Creation: Our platform includes a Datasets feature to easily create datasets for model fine-tuning.
7. Security Settings: We offer essential security features including fallback models, load balancing, and error notifications to ensure reliable and secure LLM operations.

What is the technology stack powering Keywords AI?

Keywords AI’s technology stack consists of:

1. 1. Front-end: Next.js and React;
   2. Back-end: Django Rest Framework;
   3. GitHub as a version control tool;
   4. GitHub actions as CI/CD workflows.

What is the difference between Free, Team, and Enterprise pricing plans?

Our pricing model at Keywords AI is primarily based on usage, with three tiers designed to accommodate different needs. The Free plan provides full access to all our features and includes 10,000 free LLM logs per month, along with 2 user seats. This allows users to experience the full capabilities of our platform without any initial investment. Free plan users receive support through our active Discord community.

For users who require more capacity, our Team plan is the next step up. This plan is suitable for those exceeding 10,000 LLM logs per month and offers 5 user seats. In addition to increased capacity, Team plan subscribers gain the ability to create custom evaluation metrics for assessing their LLM outputs, providing more tailored insights into their applications’ performance. Team plan users benefit from Slack and email support for more personalized assistance.

Our Enterprise plan offers unlimited LLM logs, 24/7 support, on-premises deployment, and rapid feature request implementation (typically 1-3 days). It also includes HIPAA compliance and SOC2 certification, making it ideal for organizations with stringent security and compliance requirements.

To learn more about Keywords AI, you can visit keywordsai.co