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Adopt AI

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No code agent builder that turns existing applications and manual processes into autonomous AI agents, using an Application Use engine to operate software the way a person does.

Adopt AI is a no code agent builder that turns existing applications and manual processes into autonomous AI agents. Founded in 2024 and based in San Jose, the company emerged from stealth in 2025 with a six million dollar seed round led by Elevation Capital. Its founders, Deepak Anchala and Rahul Bhattacharya, previously built the sales intelligence platform Slintel, which was acquired by 6sense in 2021, and the team draws AI engineers from Microsoft and Google. Adopt AI targets business to business and consumer applications with complex workflows in sectors like banking, healthcare, and enterprise technology.

The platform has two faces. As an agent experience layer, its Agent Builder automatically learns an application by fetching its programming interfaces, content, entities, and tools, then auto generates a suite of actions, including create, read, update, and delete operations, navigation, and analytical actions, all driven by natural language. As an operations layer, teams describe a process in plain language and Adopt AI breaks it into steps and runs it end to end across systems, from gathering data to updating systems and generating outputs, on a schedule, on an event trigger, or on demand.

Its most distinctive capability is Application Use, which lets agents operate software the same way a person does, navigating interfaces, extracting data, and taking action across systems that do not connect to each other, including legacy applications with no public interfaces. This means Adopt AI can automate across enterprise resource planning, customer relationship management, vendor portals, and internal tools without requiring any system to be rebuilt or replaced, and it runs on a customer's own infrastructure with flexible deployment options.

Adopt AI positions itself against robotic process automation platforms, UiPath, Workato, and Microsoft Copilot Studio, arguing that it delivers action coverage without months of implementation. Teams keep control through step level review, exception approvals, and production controls, with monitoring and observability across agent runs. Real world use cases span tax credit automation, accounting, freight rate management, customs declarations, and demand forecasting, where workflows that once took days now complete in minutes. As a young platform, its security certifications and testing tooling are not yet publicly detailed.

Vendor details

Canonical URL

https://adopt.ai

Category

Agent builder

Company status

independent

Use cases & customers

In practice

An accounting firm drowns in repetitive per client work. Adopt AI agents download bank statements, extract documents, and reconcile across systems, turning hours of manual work per client into minutes while following the exact process every time.

An operations team relies on a legacy system with no public interface. Adopt AI's Application Use lets an agent navigate that interface directly, extracting data and taking action the way a person would, with no rebuild required.

A SaaS company wants to add an agentic layer to its product fast. Adopt AI's builder learns the application automatically, generates natural language actions across it, and embeds a conversational agent without re architecting the stack.

Agentic Index coverage score

6.5 / 14 capabilities · 46%

Integrations & Tool CallingAdopt AI automatically discovers an application's programming interfaces and tools and connects across enterprise resource planning, customer relationship management, vendor portals, and even legacy systems without public interfaces, so full. Full
Workflow OrchestrationAdopt AI breaks a described process into steps and executes it end to end across systems, from gathering data to updating systems and generating outputs, so full. Full
Knowledge Grounding & RAGAdopt AI learns an application's content and entities to ground its actions and analytical answers, real grounding short of documented citation level source attribution, so partial. Partial
Human Oversight & GuardrailsAdopt AI lets teams review each step, approve exceptions, and apply production controls with full control over agent behavior, real human oversight short of a documented runtime guardrail enforcement engine, so partial. Partial
Security, Identity & GovernanceAdopt AI emphasizes customer control over agents and deployment on customer infrastructure, but named security certifications such as SOC 2 could not be verified. Unable to verify
Observability & AuditabilityAdopt AI provides monitoring of the agent experience and production observability across agent runs, real operational observability short of a documented full per action agent audit trail, so partial. Partial
Memory & State PersistenceAdopt AI learns an application's structure and workflows, but a first class persistent cross session agent memory could not be verified. Unable to verify
Deployment & Data ResidencyAdopt AI runs agents on a customer's own infrastructure with flexible deployment options, real deployment flexibility short of an explicitly documented self host or air gapped build, so partial. Partial
Prebuilt Agents, Templates & PacksAdopt AI provides a no code agent builder with prebuilt use case examples across operations, finance, and supply chain, a strong builder capability short of a browsable marketplace of cloneable agents, so partial. Partial
Triggers & Channel CoverageAdopt AI runs agents on a schedule, on an event trigger, or on demand and embeds a conversational interface, real trigger coverage short of broad omnichannel deployment, so partial. Partial
Model Flexibility & RoutingAdopt AI gives companies control over the underlying AI technology, but user facing multi provider model routing or selection could not be verified. Unable to verify
APIs, SDKs & MCP ExtensibilityAdopt AI is an application programming interface native platform that discovers and generates actions from application interfaces and embeds a conversational agent within or outside an application, a real extensibility surface short of a documented public software development kit or Model Context Protocol server, so partial. Partial
Testing, Debugging & OptimizationAdopt AI provides production controls and step level review, but a documented agent testing, simulation, or evaluation framework could not be verified. Unable to verify
Browser & Computer UseAdopt AI's Application Use lets agents operate software the same way a person does, navigating interfaces, extracting data, and taking action even on systems without public interfaces, so full. Full

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

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Agentic Index verified 2026-07-01

Alternatives to Adopt AI

The closest documented capability profiles to Adopt AI among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Orby AI5.0 / 14Adds documented Memory & State PersistenceAdopt AI vs Orby AI →
  • Cohere North7.5 / 14Adds documented Security, Identity & Governance
  • Convey9.5 / 14Adds documented Security, Identity & Governance and Memory & State Persistence
  • Wordware6.5 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization
  • Cognosys8.0 / 14Adds documented Security, Identity & Governance and Memory & State Persistence, among others
  • Haptik7.0 / 14Adds documented Security, Identity & Governance and Model Flexibility & Routing

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Head to head

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