Rohan Arun

OpenAI real time API and models were the most effective at solving a rubiks cube from cold start

Inspired by openClaw(but we've been working on this for a few months)

Only model to support video inputs

Handles auth and user data

Used to track brand growth across AI models like chatGPT, perplexity, and Gemini

Generates green screen reactions and AI UGC from product photos

A very clean and efficient solution to solve the inevitable future when agents can make all our purchasing decisions better than us faster(and cheaper by finding the deals faster).

Hosts parts of our agent infrastructure globally to reduce latency.

Allows a customer-friendly data model for agents to take to future models and services without lock-in.

The only model that supports video input today, up to 50 minutes, so the only multi-modal model that enables this on the planet. Not even openAI or Anthropic supports this yet.

Allows us to ship a customer-friendly data model that allows bringing agent and sales data to future models like GPT-5.

Hosts our backend for LLMs globally for not much cost.

Allows quickly testing multiple open models side-by-side.

Deploy a GPT-4 powered phone sales agent hosted locally on your PC for low latency.

We were the first startup approved by openAI to sell GPT-3 for automation in August 2021.