Adopt AI provides an enterprise‑grade platform that lets organizations build, deploy, and manage AI‑driven automation agents without code. Its tools automatically discover APIs, generate actionable steps, and execute multi‑step workflows across SaaS, on‑premise, and data systems, while offering production‑grade controls, observability, and flexible deployment in cloud, VPC, or on‑prem environments. The company monetizes through subscription licensing tied to usage and feature tiers.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DFVFounders
Product
Problem
Enterprise teams face fragmented integration when trying to enable AI agents across a mix of modern SaaS, legacy, and no‑API applications. Manual API wiring, custom connectors, and brittle RPA scripts limit coverage, increase development time, and expose security risks.
Solution
Adopt AI delivers an agentic infrastructure that automatically transforms any application—whether it exposes APIs, runs in a browser, or is a legacy system—into a set of agent‑ready actions. A unified data and action layer captures both structured (SQL, CSV) and unstructured (PDFs, emails, screenshots) information, then exposes it through a low‑code builder where natural‑language prompts generate or refine actions. The platform enforces application‑level permissions, guardrails, and business rules, while providing sandbox testing, observability, versioning, and controlled promotion. Agents built on this fabric can be deployed across multiple channels (ChatGPT, Claude, embedded SDKs, Chrome extensions, or any LangChain‑compatible framework) and execute full‑stack operations—from UI clicks to backend API calls—without additional plumbing. Security and compliance are baked in, with SOC 2, GDPR, and HIPAA readiness, and optional on‑premise deployment via Helm in a VPC.
Target Audience
The primary customers are enterprise product and engineering teams that need to embed AI‑driven digital workers across heterogeneous application stacks, including SaaS product managers, internal tool owners, and large organizations modernizing legacy systems.
Features
- 1,000+ pre‑built MCP connectors plus custom ZAPI/ZACTION zero‑shot connectors for no‑API apps
- Browser‑automation and UI‑action capture to agentify legacy desktop or internal tools
- Low‑code/no‑code action authoring that translates natural‑language intents into CRUD, navigation, and analytics operations
- Unified handling of structured (Text‑to‑SQL), semi‑structured (CSV, logs), and unstructured data (PDFs, emails, screenshots)
- Automatic inheritance of application permissions, role‑based guardrails, and business‑rule enforcement
- Sandbox environment with real‑time observability, performance evaluation, version control, and staged promotion
- Multi‑channel deployment: MCP chat models, embedded SDKs, Chrome extension, and APIs for LangChain, CrewAI, LlamaIndex, etc.
- Enterprise‑grade security: SOC 2 Type 2, GDPR, CCPA, HIPAA compliance, end‑to‑end encryption, zero‑data‑risk architecture, and optional on‑prem VPC deployment via Helm