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Adopt AI

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Agent builderindependentVerified 2026-07-01

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.

Sources & related URLs

Research notes

No-code agent builder that agentifies existing apps + automates manual processes. San Jose; founded 2024, stealth exit May 2025. Seed $6M (Elevation Capital led + Foster/Powerhouse/Darkmode). Founders: Deepak Anchala (CEO), Rahul Bhattacharya, Anirudh Badam (CAIO, ex-Microsoft); team ex-Microsoft/Google. Prior: Slintel (sales intel, ~$25-26M raised, acq by 6sense 2021). 43 employees. TWO facets: (1) Agent Experience layer — Agent Builder auto-learns app (fetches APIs/content/entities/URLs/tools), auto-generates actions (CRUD/navigation/assist/analytical) via NL, embeddable conversational interface (Spendflo customer). (2) Operations layer (current homepage) — 'turn manual processes into autonomous agents' running your software stack 24/7 ON YOUR INFRASTRUCTURE. STANDOUT = 'Application Use™': agents operate software like a human (navigate UI, extract data, take action) even on LEGACY systems with NO public APIs → genuine computer/application use (Comp=F, rare). Int: auto API discovery + ERP/CRM/vendor-portals/legacy connect. Orch: describe workflow → breaks into steps → runs end-to-end (gather→update→output); schedule/event/on-demand triggers. HITL: step review + approve exceptions + production controls (P). Dep: 'on your infrastructure' + flexible deployment (P). Tracxn: 'no-code, API discovery, action generation, end-to-end execution, production controls, observability, flexible deployment.' Competitors: UiPath/Workato/Copilot Studio/RPA/Manus/Writer. Use cases: Tax Credit/Accounting/Freight/Customs/Demand Forecasting. Pricing: seed-stage, Early Access, no public pricing (sales_led). Sec=N/Eval=N (young, not detailed). Domain adopt.ai. Score 6.5 (3F/7P/4N).

Capability coverage

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

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Verified 2026-07-01

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Researched from public vendor sources. See Methodology.