Grid

Retrieval that keeps up with conversation

An in-process search runtime for voice agents and copilots—fast enough that context never stalls the turn.

Trusted by teams building real-time AI

Your agent’s source of context

Humans and agents share one retrieval layer—loaded beside the runtime, ready before the next sentence starts.

For your product

A familiar path to ship grounded answers: index your knowledge, drop in the SDK, and keep the UI focused on the conversation.

For your agents

Agents query locally with full project context—no waiting on a remote hop every time they need a fact.

One index. Every surface your agent touches.

Package knowledge once. Grid distributes and refreshes it wherever the session runs—browser, edge, or server.

Ask less. Retrieve more.

Grid sits under the chat—not another console of filters. Your agent embeds, searches, and returns ranked context as a local call.

What you can do

Run the day

Ground FAQs, docs, and product facts mid-call without pausing for a network round trip.

Grow the product

Add session indexes on the fly—short-lived context that syncs when the conversation ends.

Work everywhere

Same API in the browser, on a phone, or behind your agent server. Swap surfaces without rewriting retrieval.

Turn knowledge into something agents can use

Point Grid at your corpus. It builds a compact index, ships it to the runtime, and keeps it fresh with hot swaps—no cluster to babysit.

  1. 01 Connect sources and describe what matters
  2. 02 Grid embeds and packs a portable index
  3. 03 Agents load it in-process and query in milliseconds

A simple interface on a sharper engine

Indexes, sessions, and filters—structured enough for teams, fast enough for live dialogue.

Everything you need to ground agents

Built for teams shipping conversational products.

Ship agents that feel present

Skip the retrieval lag. Start with Grid and keep every turn in the conversation.