Research

Turning real-world context into intelligence.

We build context from real-world conversations so agents can remember what was said, connect it to ongoing work, and prepare the next action for people and teams.

Useful intelligence has to remain accountable to the world it describes.

  1. 01

    Abstention is an answer

    When evidence cannot support a name, fact, or action, the system should say so plainly.

  2. 02

    Provenance travels with intelligence

    A useful output should retain enough of its path for a person to inspect where it came from.

  3. 03

    The row is the switch

    Privacy and access controls should resolve from durable server-side state, not presentation or model judgment.

  4. 04

    Humans own consequential writes

    The model may structure and propose; authorized people decide what reaches a chart, inbox, or system of record.

Abstract Scriben Research field showing real-world context becoming source-linked memory and a reviewable action.

Bring us hard problems from real-world conversations.

We collaborate on systems that capture real-world conversations, retain useful context, and keep consequential actions under human review.

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