Is Speak a self-serve platform or an AI agents solution?
Both. Most teams start self-serve to capture and analyze data, then expand into conversational surveys or agent workflows when they need more structure, automation, or reliability.
What do you mean by “AI agents”?
Agent workflows are structured systems that ask questions, pull from knowledge sources, extract fields, and trigger next steps. They are designed to be repeatable and auditable - not just a chat box.
Can we white-label Speak or embed parts of it?
Yes. Many teams embed recorders and shareable widgets, or deploy branded repositories and portals. Custom styling and workflows are available depending on your needs.
Do you work with one model or multiple providers?
Speak is built to be modular. We support best-fit options across speech-to-text and LLM providers so you can optimize for accuracy, cost, performance, and constraints.
Are you a dev shop?
We are a product company first. For advanced use cases, we deploy solutions using the Speak platform and components - so you get speed and reliability without reinventing everything from scratch.
How does pricing work?
Self-serve plans start with a trial. Larger teams typically add seats, usage, or deployment options like white-label, custom workflows, or agent implementations. If you share your use case, we will recommend the simplest path.
What’s the fastest way to get started?
If you want to explore the platform, start a trial. If you already know you need a workflow (agents, embedded, white-label), book a consult and we will map the quickest deployment.