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Adapt

Paid
★ 13 • Updated Aug 16, 2026, 10:51 PM

Adapt is a full-stack AI platform that enables organizations to build, deploy, and manage AI agents across the entire stack, including apps, models, and infrastructure.

Use Cases ▼
01

Build a branded Slack AI agent for company-wide use

02

Automate customer support tasks such as locating user accounts

03

Provide natural language data access across business teams

04

Route AI requests between frontier and open-weight models

05

Run code and scripts in isolated sandboxes in under 100ms

06

Create a company-wide operating layer for multiple departments

What Problem It Solves ▼

Building and deploying AI agents for business workflows is complex, often requiring separate tools for app integration, model management, and infrastructure. Adapt provides a unified platform that simplifies this by allowing teams to create a customizable Slack-native AI agent, route between multiple LLMs, and execute code in fast sandboxes, enabling automation and data access without extensive infrastructure setup.

Key Features ▼
✓

Full-stack platform covering apps, models, and infrastructure

✓

Native Slack integration for team adoption

✓

Supports both frontier and open-weight model routing

✓

Fast sandbox startup (90ms) for code execution

✓

Used by known companies with documented efficiency gains

Overview

Adapt is a full-stack AI platform that enables organizations to build, deploy, and manage AI agents across the entire stack, including apps, models, and infrastructure. It provides a company agent that integrates directly into Slack, allowing teams to interact with AI in their existing workflow. The platform includes three core layers: Apps for integration where users work, a Model Router that supports both frontier and open-weight models, and an Infra layer offering sandboxes that start in 90 milliseconds. This architecture gives users control and customization over their AI stack, from model selection to execution environment. Adapt is used by companies such as Stamped, Wander, KnoCommerce, DoNotPay, and Rosie to automate tasks, access data, and create company-wide operating layers. Testimonials highlight significant efficiency gains, such as reducing a 45-minute customer support task to one minute.

Pros & Cons

Pros

+

Full-stack platform covering apps, models, and infrastructure

+

Native Slack integration for team adoption

+

Supports both frontier and open-weight model routing

+

Fast sandbox startup (90ms) for code execution

+

Used by known companies with documented efficiency gains

Cons

−

Limited public documentation on non-Slack integrations

−

Pricing details not available on homepage

−

No open-source code or self-hosting option evident

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