Language intelligence
with context that sticks.
Build assistants that understand your domain—summarize conversations, answer with grounding, and connect tools—powered by modern LLM capabilities in the ebma stack.
const answer = await ebma.llm.chat({
messages: [
{ role: "system", content: "You are an ebma support copilot." },
{ role: "user", content: "Summarize this call transcript…" },
],
tools: ["searchKnowledge", "createTicket"],
});Test it before you sign in
Try a live browser preview on this page. Full production quality continues in the portal.
Try a sample
Simulated studio chat · Grounded production LLM in the portal waitlist
Want grounded answers over your transcripts & tools?
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Click a capability to explore what it unlocks.
Spotlight
Answers with context
Ground responses in your product knowledge, transcripts, and support content so answers stay useful—not generic.
Status
Beta / coming to console
Models
Gemini-class reasoning stack
Inputs
Text · transcripts · knowledge
Outputs
Chat · summaries · structured JSON
Where teams use it
Support copilots
Summarize tickets and calls, draft replies, and retrieve policy snippets for agents.
- Start from a sample workflow in the portal
- Connect STT / TTS / LLM as needed
- Export or automate from your account
Spec snapshot
Common questions
It’s listed as beta in the platform. Sign up to get portal access and be first in line as the studio unlocks.
Use speech-to-text for input, LLM Studio for understanding and actions, then text-to-speech for spoken replies—one platform stack.
The design target is grounded assistants over your content and transcripts. Exact connectors will land with the studio release.
Product, CX, and AI teams building copilots, voice agents, or transcript analytics on top of ebma.
Ready to try llm studio?
Open the portal playground or create a free account to start building.