Aster Ave
Enterprise-grade AI Agents that deliver measurable business outcomes
AI Agents can do work for you, if you let them. They are fully capable of:
Extracting structured data from unstructured sources, like emails, documents, and websites
Querying and interpreting data to automate workflows like report generation or data validation
Supporting and upskilling your team and customers with personalized AI guidance on how to use your product
These types of agents will collaborate with each other, handle failures intelligently, and reason independently. They are built on top of foundational LLM models like gpt-4o or claude-3.5-sonnet. The model provides the "brain" for the agent, and its tools provide an interface to take actions (like running a query or sending an email).
Most people aren't making AI Agents this way yet... Instead of letting the agent reason independently, they are building DAGs, chains, or graphs of prompts that are executed sequentially. We refer to these as chatbots. They can be useful for certain types of tasks, but their upside is limited.
Writing about Agents
Thoughts on how to build and use AI Agents
AI Agent Projects
Examples of AI Agents we've built for customers
Diagnostics Billing AI Agent
Publicly Traded BiotechAgent analyzes payor policies and patient data to identify lost revenue
Supply Chain AI Agent
Home Improvement RetailerAgent analyzes warehouse stock levels and sales data to recommend inventory replenishment
Health Coach AI Agent
Health Tech StartupAI agents automate food and activity logging for users, then provide personalized behavioral therapy to improve their health
Customer Support AI Agent
Mid-size Software CompanyAgent analyzes documentation, internal knowledge bases, and source code to resolve customer issues
AI Agent Products
Software built around AI Agents, or to help you build them yourself.
