Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
A voice automation startup operating with a lean team of 11 engineers to replace legacy call center scripting with AI-native infrastructure.
Creating natural voice agents previously required chaining brittle instructions, manually managing context windows, and writing 3,000-token prompts...
“Because the models keep getting better, our platform keeps getting better. We’re not just scaling faster, we’re tackling more complex problems with a simpler stack.”
Platform for building and deploying conversational AI voice agents for phone calls.
AI research and deployment company developing generative models and tools.
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