---
title: "Adaption"
category: "companies"
aliases: ["Adaption"]
website: "https://adaptionlabs.ai/"
sourceLabels: ["Official speaker roster", "Official conference schedule", "Public company site", "Automated company profile fetch"]
---
# Adaption

## Overview
Adaption is represented at AI Engineer World's Fair 2026. Its public site describes it this way: Adaption is building adaptive intelligence that continually learns. Efficient, evolving AI for any industry or language.

## Background
The official speaker roster connects Adaption to Sara Hooker. The public company site was discovered by manual-url-override and fetched for homepage metadata.

## Conference Relevance
Adaption matters to this wiki through 1 official speaker(s) and 1 scheduled session(s), including: Adaption Labs — Gradient-Free Continual Learning.

## Conference Sessions
- [[2026-06-30-sara-hooker-adaption-labs-gradient-free-continual-learning]] - Adaption Labs — Gradient-Free Continual Learning (2026-06-30, 1:30pm-1:50pm)

## Connections
- [[sara-hooker]] - CEO, and Co-founder

## Sources
- [Adaption](https://adaptionlabs.ai/)

## Evidence Graph
This evidence graph summarizes how this organization appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-30-sara-hooker-adaption-labs-gradient-free-continual-learning|Adaption Labs — Gradient-Free Continual Learning]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.

## Notes
- Automated company profile fetch status: fetched.

## Evidence Boundary
Official roster and schedule facts are treated as canonical for conference participation. Public company sites, documentation, and professional profiles are supporting context used to explain what the organization does and why it is relevant.