AI that thinks - and acts - across millions of devices

The world's largest and most powerful distributed network of AI agents, ready to monitor, read, and accomplish tasks across the web.

AI that thinks - and acts - across millions of devices

The world's largest and most powerful distributed network of AI agents, ready to monitor, read, and accomplish tasks across the web.

TRUSTED BY INDUSTRY LEADERS WORLDWIDE

TRUSTED BY INDUSTRY LEADERS WORLDWIDE

TRUSTED BY INDUSTRY LEADERS WORLDWIDE

TRUSTED BY INDUSTRY LEADERS WORLDWIDE

A unified execution layer for AI on the web

DAT.AI brings web execution, automation, and agent orchestration into a single distributed system — designed to operate reliably across modern, restricted environments.

Distributed web execution

Run thousands of browser agents in parallel, scaling horizontally as demand grows — without centralized bottlenecks.

Distributed web execution

Run thousands of browser agents in parallel, scaling horizontally as demand grows — without centralized bottlenecks.

Distributed web execution

Run thousands of browser agents in parallel, scaling horizontally as demand grows — without centralized bottlenecks.

Adaptive interaction

Agents can adapt to DOM changes and interact directly with web UIs and APIs in real time.

Adaptive interaction

Agents can adapt to DOM changes and interact directly with web UIs and APIs in real time.

Adaptive interaction

Agents can adapt to DOM changes and interact directly with web UIs and APIs in real time.

Resilient by design

Agents are built to withstand blocks that typically break proxy-based infrastructure and fragile automation flows.

Resilient by design

Agents are built to withstand blocks that typically break proxy-based infrastructure and fragile automation flows.

Resilient by design

Agents are built to withstand blocks that typically break proxy-based infrastructure and fragile automation flows.

Unified control layer

Coordinate execution, orchestration, and access through a single system — without stitching together external tools.

Unified control layer

Coordinate execution, orchestration, and access through a single system — without stitching together external tools.

Unified control layer

Coordinate execution, orchestration, and access through a single system — without stitching together external tools.

Real-world use cases, powered by distributed execution

DAT.AI enables AI systems to operate reliably across the web — unlocking workflows that are difficult or impossible to run with traditional automation.

Execution layer

Operational

Automation logic

Active

Failure recovery

Available

External signals

Optional

Rate controls

Adaptive

Execution layer

Operational

Automation logic

Active

Failure recovery

Available

External signals

Optional

Rate controls

Adaptive

Large-scale web monitoring

Continuously monitor thousands of web sources in parallel, even as pages change, logins expire, or access rules evolve.

Track changes across dynamic websites

Operate reliably behind authentication

Scale monitoring without brittle scripts

Large-scale web monitoring

Continuously monitor thousands of web sources in parallel, even as pages change, logins expire, or access rules evolve.

Track changes across dynamic websites

Operate reliably behind authentication

Scale monitoring without brittle scripts

Autonomous data extraction

Run AI-driven agents that can navigate complex web flows, adapt to DOM changes, and extract structured data at scale.

Handle dynamic layouts and UI changes

Interact directly with web interfaces

Reduce manual maintenance overhead

Autonomous data extraction

Run AI-driven agents that can navigate complex web flows, adapt to DOM changes, and extract structured data at scale.

Handle dynamic layouts and UI changes

Interact directly with web interfaces

Reduce manual maintenance overhead

PHASES

VALIDATION

RUNTIME

System overview

Retry handling

Performance metrics

Execution events

PHASES

VALIDATION

RUNTIME

System overview

Retry handling

Performance metrics

Execution events

Execution capacity

Sample execution volume

Ingest

Process

Execute

Recover

Execution capacity

Sample execution volume

Ingest

Process

Execute

Recover

Compliance & audit workflows

Observe regulated websites and platforms over time, capturing changes, disclosures, and signals for compliance and audit purposes.

Maintain consistent access over time

Capture verifiable execution results

Operate across restricted environments

Compliance & audit workflows

Observe regulated websites and platforms over time, capturing changes, disclosures, and signals for compliance and audit purposes.

Maintain consistent access over time

Capture verifiable execution results

Operate across restricted environments

From request to execution in 3 steps

INTEGRATING…

STEP 1

Connect & dispatch

Connect DAT.AI to your system and dispatch tasks through a single interface.

INTEGRATING…

STEP 1

Connect & dispatch

Connect DAT.AI to your system and dispatch tasks through a single interface.

Execution orchestration

Orchestrates distributed execution flows

External integrations

Connects DAT.AI with existing systems

Execution coordination

Schedules and coordinates agent execution

Task dispatch

Distributes tasks across execution nodes

STEP 2

Distributed execution

Tasks are executed by a distributed network of agents operating across the web.

Execution orchestration

Orchestrates distributed execution flows

External integrations

Connects DAT.AI with existing systems

Execution coordination

Schedules and coordinates agent execution

Task dispatch

Distributes tasks across execution nodes

STEP 2

Distributed execution

Tasks are executed by a distributed network of agents operating across the web.

Execution orchestration

Orchestrates distributed execution flows

External integrations

Connects DAT.AI with existing systems

Execution coordination

Schedules and coordinates agent execution

Task dispatch

Distributes tasks across execution nodes

STEP 2

Distributed execution

Tasks are executed by a distributed network of agents operating across the web.

128 executions

Concurrent workflows

Representative execution load

STEP 3
Results & control

Execution results are returned with full visibility and control.

64 runs/min
Concurrent workflows

Representative execution load

STEP 3

Results & control

Execution results are returned with full visibility and control.

128 executions

Concurrent workflows

Representative execution load

STEP 3
Results & control

Execution results are returned with full visibility and control.

Built for modern web execution

Most web automation tools were not designed for today’s restricted, dynamic web. DAT.AI takes a fundamentally different approach.

Traditional approaches

Centralized browser infrastructure

Proxy-dependent access

Fragile scripts that break as pages change

Infrastructure complexity handled by default

Execution tightly coupled to infrastructure limits

Distributed execution across autonomous agents

Agent-based access instead of proxy reliance

Adaptive interaction with changing web environments

Real-time insights and AI-assisted diagnostics

Execution that scales independently of bottlenecks

Traditional approaches

Centralized browser infrastructure

Proxy-dependent access

Fragile scripts that break as pages change

Infrastructure complexity handled by default

Execution tightly coupled to infrastructure limits

Distributed execution across autonomous agents

Agent-based access instead of proxy reliance

Adaptive interaction with changing web environments

Real-time insights and AI-assisted diagnostics

Execution that scales independently of bottlenecks

Traditional approaches

Centralized browser infrastructure

Proxy-dependent access

Fragile scripts that break as pages change

Infrastructure complexity handled by default

Execution tightly coupled to infrastructure limits

Distributed execution across autonomous agents

Agent-based access instead of proxy reliance

Adaptive interaction with changing web environments

Real-time insights and AI-assisted diagnostics

Execution that scales independently of bottlenecks

Simple plans,
built for every team

Core

The perfect plan to get started with auto CAPTCHA solving and 200 concurrent browsers.

$99

Up to 20 concurrent browsers

CAPTCHA Solving

Lowest market pricing

AI-driven decision making

Distributed opt-in devices

Custom

Experience the power of 1M+ edge devices on-demand at unbeatable prices.

Price on request

Up to 1M concurrent browsers

Significantly lower operational costs

No proxy dependency

Scales horizontally from day one

Complete visibility over agent actions

Core

The perfect plan to get started with auto CAPTCHA solving and 200 concurrent browsers.

$99

Up to 20 concurrent browsers

CAPTCHA Solving

Lowest market pricing

AI-driven decision making

Distributed opt-in devices

Custom

Experience the power of 1M+ edge devices on-demand at unbeatable prices.

Price on request

Up to 1M concurrent browsers

Significantly lower operational costs

No proxy dependency

Scales horizontally from day one

Complete visibility over agent actions

Core

The perfect plan to get started with auto CAPTCHA solving and 200 concurrent browsers.

$99

Up to 20 concurrent browsers

CAPTCHA Solving

Lowest market pricing

AI-driven decision making

Distributed opt-in devices

Custom

Experience the power of 1M+ edge devices on-demand at unbeatable prices.

Price on request

Up to 1M concurrent browsers

Significantly lower operational costs

No proxy dependency

Scales horizontally from day one

Complete visibility over agent actions

Request-based access
Request-based access
Request-based access
Early access pricing
Early access pricing
Early access pricing
No long-term commitment
No long-term commitment
No long-term commitment
Built for production
Built for production
Built for production

Trusted by developers

“Setup was fast and seamless — our entire workflow became instantly cleaner and more organized.”

DAVID ABAEV

CEO, DATABAR.AI

“Setup was fast and seamless — our entire workflow became instantly cleaner and more organized.”

DAVID ABAEV

CEO, DATABAR.AI

“Setup was fast and seamless — our entire workflow became instantly cleaner and more organized.”

DAVID ABAEV

CEO, DATABAR.AI

“We replaced multiple internal tools with one platform and scaled our web infrastructure within weeks. The reliability of this thing has been unbelievable.”

STEFANS KEISS

CPO & ADVISOR, SOAX

“We replaced multiple internal tools with one platform and scaled our web infrastructure within weeks. The reliability of this thing has been unbelievable.”

STEFANS KEISS

CPO & ADVISOR, SOAX

“Built-in on-site decision making by AI has saved us hours of scripting and eliminated manual workflows completely.”

DAVID K.

TECH LEAD

“Built-in on-site decision making by AI has saved us hours of scripting and eliminated manual workflows completely.”

DAVID K.

TECH LEAD

“Built-in on-site decision making by AI has saved us hours of scripting and eliminated manual workflows completely.”

DAVID K.

TECH LEAD

“The support we've gotten from the DAT team has been instrumental to help us make the right steps and implement infrastructure the right way.”

LAURA MARTINEZ

ENGINEERING MANAGER

“The support we've gotten from the DAT team has been instrumental to help us make the right steps and implement infrastructure the right way.”

LAURA MARTINEZ

ENGINEERING MANAGER

TRUSTED BY TEAMS WORLDWIDE

FAQs

Here’s everything you need to know before getting started.

Still have questions?

Contact us and we’ll help you out.

Still have questions?

Contact us and we’ll help you out.

Can you explain browser profile creation in more detail? What should users consider when creating a task?

Currently, for beta testing, we copy the actual user profile from the device for authenticity. In production, profiles are created automatically for each task. We can also create persistent profiles for specific clients—these stay on the user's side and can be reused across tasks. Let us know your requirements.

Can you explain browser profile creation in more detail? What should users consider when creating a task?

Currently, for beta testing, we copy the actual user profile from the device for authenticity. In production, profiles are created automatically for each task. We can also create persistent profiles for specific clients—these stay on the user's side and can be reused across tasks. Let us know your requirements.

Does the browser close after task execution? Can sessions be reused for subsequent tasks?

The browser closes after each task to avoid consuming memory and CPU on the end device. If you need persistent sessions for your use case, contact us—we're flexible on customizations.

Does the browser close after task execution? Can sessions be reused for subsequent tasks?

The browser closes after each task to avoid consuming memory and CPU on the end device. If you need persistent sessions for your use case, contact us—we're flexible on customizations.

What is DAT?

We're the infrastructure layer for distributed web automation. Run browsers on edge devices across regions—no proxies, no centralized bottlenecks, no infrastructure to manage.

What is DAT?

We're the infrastructure layer for distributed web automation. Run browsers on edge devices across regions—no proxies, no centralized bottlenecks, no infrastructure to manage.

What problem do you solve?

Web access for automation breaks when you scale. Cloudflare blocks. Regional endpoints timeout. GDPR compliance gets complicated. We handle the infrastructure so you don't have to.

What problem do you solve?

Web access for automation breaks when you scale. Cloudflare blocks. Regional endpoints timeout. GDPR compliance gets complicated. We handle the infrastructure so you don't have to.

What stage are you at?

Early-stage growth. We're building with our first customers. Your feedback shapes the product.

What stage are you at?

Early-stage growth. We're building with our first customers. Your feedback shapes the product.

How can I join the beta testing program?

We're actively onboarding early partners. To join the beta email us at 'es@dat.ai' or sign up via the "Get started" links below.

How can I join the beta testing program?

We're actively onboarding early partners. To join the beta email us at 'es@dat.ai' or sign up via the "Get started" links below.

What kind of use cases are you looking for in beta partners?

We're particularly interested in: - Travel and booking companies (price monitoring, regional pricing, competitor intelligence) - Teams building AI agents that need reliable web access - Companies expanding into GDPR-compliant markets - Development teams replacing complex scraping infrastructure - Anyone automating web workflows across multiple geographic regions If your use case involves web automation that breaks on Tuesday afternoons when Cloudflare updates, or you're spending too much engineering time maintaining scrapers—we want to talk to you.

What kind of use cases are you looking for in beta partners?

We're particularly interested in: - Travel and booking companies (price monitoring, regional pricing, competitor intelligence) - Teams building AI agents that need reliable web access - Companies expanding into GDPR-compliant markets - Development teams replacing complex scraping infrastructure - Anyone automating web workflows across multiple geographic regions If your use case involves web automation that breaks on Tuesday afternoons when Cloudflare updates, or you're spending too much engineering time maintaining scrapers—we want to talk to you.

What's the difference between dat.ai and traditional scraping services or proxy providers?

We're infrastructure, not a data service. Traditional approaches use centralized cloud servers routing through proxy chains. We run real browsers on edge infrastructure—geographically distributed across actual devices. This means: - No proxy layer (fewer points of failure) - True regional execution (not simulated via proxies) - Lower latency for geo-specific tasks - Real browser fingerprints (harder to detect) - Serverless pricing model (not per-GB)

What's the difference between dat.ai and traditional scraping services or proxy providers?

We're infrastructure, not a data service. Traditional approaches use centralized cloud servers routing through proxy chains. We run real browsers on edge infrastructure—geographically distributed across actual devices. This means: - No proxy layer (fewer points of failure) - True regional execution (not simulated via proxies) - Lower latency for geo-specific tasks - Real browser fingerprints (harder to detect) - Serverless pricing model (not per-GB)