Staffing costs held back 24/7 scale. AI agents now automate millions of calls with voices so human that clients ask for them by name.
A conversational AI platform automating millions of customer interactions for sales and support teams globally.
Traditional contact centers face high operational costs and limited scalability, while early automated solutions lacked the natural speed and tone...
“I love Tessa because she never sleeps!”
Thoughtly's Call center automation is part of this use case:
No-code platform for building and automating AI-powered phone agents.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Related implementations across industries and use cases
Robotic voices failed at therapy intake. Now, realistic agents handle sensitive calls with human empathy.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Stitching audio models disrupted conversation flow. A unified platform now handles the pipeline, freeing engineers to build the agent.
Robotic voices failed at therapy intake. Now, realistic agents handle sensitive calls with human empathy.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Staffing costs held back 24/7 scale. AI agents now automate millions of calls with voices so human that clients ask for them by name.
A conversational AI platform automating millions of customer interactions for sales and support teams globally.
Traditional contact centers face high operational costs and limited scalability, while early automated solutions lacked the natural speed and tone...
“I love Tessa because she never sleeps!”
Thoughtly's Call center automation is part of this use case:
No-code platform for building and automating AI-powered phone agents.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Related implementations across industries and use cases
Robotic voices failed at therapy intake. Now, realistic agents handle sensitive calls with human empathy.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Stitching audio models disrupted conversation flow. A unified platform now handles the pipeline, freeing engineers to build the agent.
Robotic voices failed at therapy intake. Now, realistic agents handle sensitive calls with human empathy.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.