We empower SaaS agents throughout your entire organization.

seqAgents.ai sits on top of your applications to:

• Simplify the use of applications across your ecosystem.
• Synthesize data from across multiple sources.
• Automating routine tasks.
• Processing real-time data for quick insights into your operation.

We achieve this by leveraging multiple AI models. Our approach combines seqAgents' smaller-custom models with large language models (LLMs) such as OpenAI and Meta to efficiently respond to user prompts. Some LLMs are hosted on proprietary infrastructure (e.g., OpenAI), while others, like Microsoft Phi, can be deployed on our cloud infrastructure.

Our AI models are trained using a diverse set of data sources but DO NOT store the data in the model:

• Internal SQL Databases – Manually curated company data.
• Verified Web Scraping – Example: Wikipedia, after validation.
• Synthetic Data from LLMs – Augmenting real-world data with AI-generated samples.

How we work with business and IT leaders

• Work with leaders on their AI strategies.
• Build the models specific to your business.
• Train -> Evaluate -> Test
• Develop tools to train the system and introduce continuous learning.
• Understand the analysis and what works and what doesn’t. When ready, we'll deploy seqAgents.ai in your production environment.