We Build Large Action Models That Suit Your Business
What are Large Action Models?? And Why Should I Be Excited?
Large Action Models(LAMs) are generative AI systems designed to perform real-world tasks based on user commands.
Unlike Large Language Models (LLMs), which generate and process text, LAMs can analyze data and autonomously act on it.
While an LLM might generate a response explaining lab results to a patient, a LAM could go further—ordering follow-up tests, updating the patient’s electronic health record, scheduling an appointment, and sending reminders, all automatically.
Think of it as Chat GPT with hands—except instead of just giving advice, it actually rolls up its sleeves and gets the job done.
The Possibilities Are Endless
Here are some examples !!
Scrum Master
A Large Action Model–powered Scrum Master that not only tracks tasks but takes action across Jira, Slack, and GitHub to run standups, plan sprints, and resolve blockers in real time.
Healthcare Agent
Doctors dictate notes → LAM writes a structured patient record and submits the insurance form.
Personal Assistant
Stays with you across phone, laptop, VR headset, and desktop. Knows your tasks, files, and routines.
Manage Your Diverse Assets
An agent that autonomously manages rental properties and diverse assets—handling tenant communication, payments, maintenance, and reporting across all your holdings.
What exactly is a Large Action Model (LAM), and how does it differ from an LLM?
A Large Action Model (LAM) is a generative AI model designed not just to understand and generate text, but to take real-world actions on behalf of the user.
LLMs (Large Language Models): Specialize in processing and generating language. They can answer questions, draft text, and provide recommendations—but they stop at words.
LAMs (Large Action Models): Go a step further. They analyze input, decide on the best course of action, and then execute it autonomously—like booking a flight, processing a refund, scheduling an appointment, or updating a database.
In short: LLMs talk. LAMs act.
Which industries or use cases do you see adopting LAMs first?
LAMs will first take off in industries overloaded with repetitive digital tasks and high demand for automation. Likely early adopters include:
Customer Service & E-commerce: Automating returns, refunds, order adjustments, and account updates.
Nonprofits & NGOs: Streamlining donor management, grant reporting, and volunteer coordination with minimal staff overhead.
Enterprise Operations: IT ticket resolution, HR onboarding, expense processing, and cross-app integrations.
Over time, LAMs will expand into creative and strategic roles—helping professionals not just analyze data but act on insights instantly.
How do you see LAMs changing the way people work in the next 5 years?
In the next five years, LAMs will shift work from “doing” to “directing.” Instead of employees manually executing repetitive digital tasks, they’ll delegate them to LAM-powered agents.
Workers will focus on strategy, creativity, and decision-making, while LAMs handle scheduling, data entry, customer support actions, and even cross-platform automation.
For organizations, this means leaner operations, faster execution, and smarter scaling—similar to how cloud computing transformed infrastructure. For individuals, it’s like having a personal digital team that not only suggests solutions but implements them.
How do I start?
Click on the "Contact Us" button and write us a short email on how our models can add value to your business. Not sure how we would fit in? It's alright, still shoot us a message, we'll figure it out together :)
