AI & Machine Learning Developers
Add real voice interaction to models and agents, not a bolted-on wake-word demo.
The AI agents market is valued at $10.9 billion in 2026, projected to reach $182.9 billion by 2033 — a 49.6% compound annual growth rate. The narrower conversational AI market sits at roughly $18 billion in 2026.
Voice-enabled autonomous agents and LLM integrations sit at the intersection of two fast-growing markets, not one.
Source: Grand View Research. Figures are third-party market research estimates, not BotGentz platform data or guaranteed outcomes for any individual developer.
Who this is for
Each role below has its own dedicated page — real context, what you'd build, and an illustrative integration pattern.
Agent Developers
Autonomous agents that take multi-step actions need a way to receive instructions and report progres…
Full integration guide →AI Researchers
Voice and multimodal AI research needs real audio data and a reliable way to experiment with recogni…
Full integration guide →ML Engineers
ML engineers spend most of their time on model training, evaluation and deployment pipelines — the…
Full integration guide →Model Integrators
Connecting an existing LLM to a voice interface usually means stitching together a separate speech-t…
Full integration guide →Prompt Engineers
Prompt engineering for text is already a discipline of its own; voice adds a layer most text-only pr…
Full integration guide →Example use case
Free to start, usage-based pricing when you ship, or hold BOT for API access with no separate subscription.