AgentLab Raises $5M+ Seed to Build the Future

AgentLab Raises $5M+ Seed to Build the Future

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Backed by Y Combinator

Build and Manage AI Agents for Real-World Tasks

Create intelligent agents that understand context, automate workflows, and execute tasks reliably across your operations.

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Automate Tasks with AI Agent

 

Actions

  • Customer support agent

  • Sales Lead Qualifier

  • Data Analysis Agent

  • Email Responder

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Automate Tasks with AI Agent

 

Actions

  • Customer support agent

  • Sales Lead Qualifier

  • Data Analysis Agent

  • Email Responder

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The Problem

No Unified Agent Layer

No Unified Agent Layer

Without a centralized agent layer, coordinating multiple tools becomes fragmented, causing inefficiencies and inconsistent workflows.

No Unified Agent Layer

Without a centralized agent layer, coordinating multiple tools becomes fragmented, causing inefficiencies and inconsistent workflows.

Time-Consuming Tasks

Time-Consuming Tasks

Manual processes and repetitive tasks slow down productivity, increasing operational overhead and leaving less time for high-impact, strategic work.

Time-Consuming Tasks

Manual processes and repetitive tasks slow down productivity, increasing operational overhead and leaving less time for high-impact, strategic work.

Zero Process Visibility

Zero Process Visibility

Without real-time insight into agent activity, debugging failures and optimizing workflows becomes a slow, costly guessing game.

Zero Process Visibility

Without real-time insight into agent activity, debugging failures and optimizing workflows becomes a slow, costly guessing game.

The Solution

Streamline Development, Reduce Errors, and Increase Deployment Speed by 10x with Enterprise-Grade AI Agent Infrastructure

Agent Builder

Build and Deploy Agents in Minutes

Design intelligent agents with a visual builder — no coding required. Define triggers, actions, and logic with an intuitive drag-and-drop interface.

Visual no-code agent builder

Pre-built agent templates

One-click deployment to production

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Support Agent

Hello! Describe the agent you want to build.

Handle customer order updates and returns

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Updates & return agent

Product recommendations Update order status

Resolved automatically

Describe your agent...

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Support Agent

Hello! Describe the agent you want to build.

Handle customer order updates and returns

Image

Updates & return agent

Product recommendations Update order status

Resolved automatically

Describe your agent...

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Support Agent

Hello! Describe the agent you want to build.

Handle customer order updates and returns

Image

Updates & return agent

Product recommendations Update order status

Resolved automatically

Describe your agent...

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Workflow - Running

Lead Enrichment

Trigger: New Lead

Enrich lead data via API

Score & qualify lead

Route to sales team

Log activity to CRM

Progress

0%

0%

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Workflow - Running

Lead Enrichment

Trigger: New Lead

Enrich lead data via API

Score & qualify lead

Route to sales team

Log activity to CRM

Progress

0%

0%

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Workflow - Running

Lead Enrichment

Trigger: New Lead

Enrich lead data via API

Score & qualify lead

Route to sales team

Log activity to CRM

Progress

0%

0%

Workflow Automation

Automate Complex Multi-Step Workflows

Deploy intelligent AI agents that understand your business context, coordinate complex workflows, and execute tasks with unprecedented precision.

Automated workflow orchestration

Context-aware task execution

Enterprise-grade reliability

Analytics & Insights

Monitor Agent Performance in Real Time

Track performance metrics, identify bottlenecks, and optimize agent efficiency with real-time analytics.

Real-time performance monitoring

Automated bottleneck detection

Predictive analytics insights

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Analytics Overview

1,247

Tasks Today

98.4%

Success Rate

1.2s

Avg Duration

Task volume — last 12 hours

Research Agent

342 tasks

Support Agent

289 tasks

Analysis Agent

156 tasks

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Analytics Overview

1,247

Tasks Today

98.4%

Success Rate

1.2s

Avg Duration

Task volume — last 12 hours

Research Agent

342 tasks

Support Agent

289 tasks

Analysis Agent

156 tasks

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Analytics Overview

1,247

Tasks Today

98.4%

Success Rate

1.2s

Avg Duration

Task volume — last 12 hours

Research Agent

342 tasks

Support Agent

289 tasks

Analysis Agent

156 tasks

ROI

Impact You Can Measure

0
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Faster workflow execution

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Reduction in repetitive tasks

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Automate your most complex, high-impact multi-step workflows

Streamline multi-step processes, reduce manual effort, and improve consistency across your operations with real-time execution and control.

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Reliable task completion across workflows

Capabilities

Discover How AI Agents Automate Real Business Workflows and Deliver Measurable Results

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Data Layer

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Data Source

Pull live data from any source — databases, APIs, or cloud storage — and give your agents a unified, always-current data layer.

TRIGGER

Webhook

Process

Analyze Data

Action

Send Response

Ready to deploy

Visual Agent Build

Design and configure AI agents visually — no code needed. Set triggers, define logic, and deploy production-ready agents in minutes.

 

  • Report Scheduled

    Data Complied

    Send WhatsApp

    Create Hubspot Contact

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    Cancel Meeting

Workflow Orchestration

Automate multi-step business processes end-to-end. Your agents handle sequencing, error recovery, and handoffs so your team stays focused.

Task Input

AI Router

  • GPT-5

  • Claude

  • DALL-E

  • ElevenLabs

Multi Model AI

Route tasks intelligently to the right AI model — GPT, Claude, DALL-E, or ElevenLabs — based on task type and performance goals.

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Integration

Connect AgentFlow to the tools your team already uses — CRMs, support desks, and databases — with native integrations in just clicks.

  • Implement IT support

  • Help customers

  • Resolve issues

  • Provide feedback

  • Enhance experience

  • Streamline processes

  • Educate users

  • Offer support

  • Summarize emails

  • Prepare for calls

  • Implement IT support

  • Help customers

  • Enhance experience

  • Resolve issues

  • Provide feedback

  • Enhance experience

  • Streamline processes

Industry

Solutions Across Every Sector

Finance

Automate account inquiries and fraud detection while maintaining SOC 2 compliance

Finance

Automate account inquiries and fraud detection while maintaining SOC 2 compliance

Finance

Automate account inquiries and fraud detection while maintaining SOC 2 compliance

Healthcare

Patient scheduling, prescription refills, and care coordination with full HIPAA compliance standards

Healthcare

Patient scheduling, prescription refills, and care coordination with full HIPAA compliance standards

Healthcare

Patient scheduling, prescription refills, and care coordination with full HIPAA compliance standards

E-commerce

Handle order tracking, returns processing, and product recommendations at scale during peak seasons

E-commerce

Handle order tracking, returns processing, and product recommendations at scale during peak seasons

E-commerce

Handle order tracking, returns processing, and product recommendations at scale during peak seasons

Education

Student enrollment support and course recommendations for learning platforms

Education

Student enrollment support and course recommendations for learning platforms

Enterprise

IT helpdesk automation, employee onboarding workflows, and internal request management at scale

Enterprise

IT helpdesk automation, employee onboarding workflows, and internal request management at scale

Enterprise

IT helpdesk automation, employee onboarding workflows, and internal request management at scale

Insurance

Claims status updates, policy inquiries, and document collection with secure data handling protocols

Insurance

Claims status updates, policy inquiries, and document collection with secure data handling protocols

TESTIMONIALS

What People Are Saying

See All Case Studies

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The orchestration layer simplifies complex workflows and makes easier to manage.

85%

Reduction in manual work

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“AgentLab brings much-needed structure to AI automation workflows. The orchestration layer makes complex systems easier to understand, manage efficiently, and scale without breaking.”

Colton Pond

Head of Partnership

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Orchestration layer simplifies workflows and improves overall system efficiency

0%

Reduction in manual work

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"AgentFlow brings structure to AI workflows, while its orchestration layer simplifies complexity and improves efficiency, enabling scalable and reliable system performance without breaking under scale."

Ethan Walker

CTO

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Orchestration layer brings clarity and structure to complex digital workflows

0%

Reduction in manual work

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"AgentFlow organizes automation workflows effectively, and its orchestration layer reduces system complexity, enhances control, and enables smooth scalable growth with consistent performance and operational stability."

Sophia Martinez

Product Manager

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Orchestration layer unifies multiple services into one streamlined workflow system

0%

Reduction in manual work

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"AgentFlow delivers clarity to automation processes, while its orchestration layer simplifies complex systems and improves coordination, ensuring consistent scalable performance with reliable and stable execution."

Noah Williams

Cloud Engineer

TESTIMONIALS

What People Are Saying

See All Case Studies

BG Image
Brand Image

The orchestration layer simplifies complex workflows and makes easier to manage.

85%

Reduction in manual work

Image

“AgentLab brings much-needed structure to AI automation workflows. The orchestration layer makes complex systems easier to understand, manage efficiently, and scale without breaking.”

Colton Pond

Head of Partnership

BG Image
Brand Image

Orchestration layer simplifies workflows and improves overall system efficiency

0%

Reduction in manual work

Image

"AgentFlow brings structure to AI workflows, while its orchestration layer simplifies complexity and improves efficiency, enabling scalable and reliable system performance without breaking under scale."

Ethan Walker

CTO

BG Image
Brand Image

Orchestration layer brings clarity and structure to complex digital workflows

0%

Reduction in manual work

Image

"AgentFlow organizes automation workflows effectively, and its orchestration layer reduces system complexity, enhances control, and enables smooth scalable growth with consistent performance and operational stability."

Sophia Martinez

Product Manager

BG Image
Brand Image

Orchestration layer unifies multiple services into one streamlined workflow system

0%

Reduction in manual work

Image

"AgentFlow delivers clarity to automation processes, while its orchestration layer simplifies complex systems and improves coordination, ensuring consistent scalable performance with reliable and stable execution."

Noah Williams

Cloud Engineer

TESTIMONIALS

What People Are Saying

See All Case Studies

BG Image
Brand Image

The orchestration layer simplifies complex workflows and makes easier to manage.

85%

Reduction in manual work

Image

“AgentLab brings much-needed structure to AI automation workflows. The orchestration layer makes complex systems easier to understand, manage efficiently, and scale without breaking.”

Colton Pond

Head of Partnership

BG Image
Brand Image

Orchestration layer simplifies workflows and improves overall system efficiency

0%

Reduction in manual work

Image

"AgentFlow brings structure to AI workflows, while its orchestration layer simplifies complexity and improves efficiency, enabling scalable and reliable system performance without breaking under scale."

Ethan Walker

CTO

BG Image
Brand Image

Orchestration layer brings clarity and structure to complex digital workflows

0%

Reduction in manual work

Image

"AgentFlow organizes automation workflows effectively, and its orchestration layer reduces system complexity, enhances control, and enables smooth scalable growth with consistent performance and operational stability."

Sophia Martinez

Product Manager

BG Image
Brand Image

Orchestration layer unifies multiple services into one streamlined workflow system

0%

Reduction in manual work

Image

"AgentFlow delivers clarity to automation processes, while its orchestration layer simplifies complex systems and improves coordination, ensuring consistent scalable performance with reliable and stable execution."

Noah Williams

Cloud Engineer

Compliance

Enterprise-Grade Security Standards

SOC 2

GDPR

HIPAA

End-to-End Encryption

All data encrypted in transit and at rest using AES-256

End-to-End Encryption

All data encrypted in transit and at rest using AES-256

End-to-End Encryption

All data encrypted in transit and at rest using AES-256

Zero Data Retention

Your data is never stored or used for model training

Zero Data Retention

Your data is never stored or used for model training

Zero Data Retention

Your data is never stored or used for model training

Private Deployment

Deploy in your own VPC for complete data sovereignty

Private Deployment

Deploy in your own VPC for complete data sovereignty

Private Deployment

Deploy in your own VPC for complete data sovereignty

FAQs

Have questions?

Find answers.

Have more questions?

Reach out to our friendly support team

talk to sales

What Exactly Is an AI Agent?

An AI Agent is more than just a chatbot; it is a system designed to perform tasks autonomously. While a chatbot answers questions, an agent can use tools, browse the web, and execute workflows (like booking a meeting or updating a CRM) to achieve a specific goal.

What Tools Can the AI Agent Connect To?

AI agents can connect to a wide range of tools to expand their capabilities and automate tasks more effectively. These typically include APIs, databases, CRM systems, cloud platforms, messaging apps, and third-party services.

How Do we Measure if the AI Agent Is Successful?

You measure an AI agent’s success by how well it achieves its goals and improves outcomes over time. Key indicators include task completion rate, accuracy of responses, and how often users get the right result without needing help.

What Metrics Can we Use to Evaluate User Satisfaction?

User satisfaction can be evaluated using a mix of direct feedback and behavioral data. Common metrics include customer satisfaction scores (CSAT), where users rate their experience, and Net Promoter Score (NPS), which measures how likely they are to recommend the service.

How Frequently Should we Conduct Performance Reviews of the AI?

AI performance reviews should be done on a regular, structured cycle—plus continuous monitoring in the background. For most use cases, a monthly review works well to assess key metrics like accuracy, task success rate, and user satisfaction.

How Long Does It Take to Design and Deploy an AI Agent?

The biggest factors affecting time are the scope of features, data availability, integration needs, and testing requirements. Planning, iteration, and optimization are just as important as the initial build, so deployment is often just the beginning of ongoing improvements.

FAQs

Have questions?

Find answers.

Have more questions?

Reach out to our friendly support team

talk to sales

What Exactly Is an AI Agent?

An AI Agent is more than just a chatbot; it is a system designed to perform tasks autonomously. While a chatbot answers questions, an agent can use tools, browse the web, and execute workflows (like booking a meeting or updating a CRM) to achieve a specific goal.

What Tools Can the AI Agent Connect To?

AI agents can connect to a wide range of tools to expand their capabilities and automate tasks more effectively. These typically include APIs, databases, CRM systems, cloud platforms, messaging apps, and third-party services.

How Do we Measure if the AI Agent Is Successful?

You measure an AI agent’s success by how well it achieves its goals and improves outcomes over time. Key indicators include task completion rate, accuracy of responses, and how often users get the right result without needing help.

What Metrics Can we Use to Evaluate User Satisfaction?

User satisfaction can be evaluated using a mix of direct feedback and behavioral data. Common metrics include customer satisfaction scores (CSAT), where users rate their experience, and Net Promoter Score (NPS), which measures how likely they are to recommend the service.

How Frequently Should we Conduct Performance Reviews of the AI?

AI performance reviews should be done on a regular, structured cycle—plus continuous monitoring in the background. For most use cases, a monthly review works well to assess key metrics like accuracy, task success rate, and user satisfaction.

How Long Does It Take to Design and Deploy an AI Agent?

The biggest factors affecting time are the scope of features, data availability, integration needs, and testing requirements. Planning, iteration, and optimization are just as important as the initial build, so deployment is often just the beginning of ongoing improvements.

FAQs

Have questions?

Find answers.

Have more questions?

Reach out to our friendly support team

talk to sales

What Exactly Is an AI Agent?

An AI Agent is more than just a chatbot; it is a system designed to perform tasks autonomously. While a chatbot answers questions, an agent can use tools, browse the web, and execute workflows (like booking a meeting or updating a CRM) to achieve a specific goal.

What Tools Can the AI Agent Connect To?

AI agents can connect to a wide range of tools to expand their capabilities and automate tasks more effectively. These typically include APIs, databases, CRM systems, cloud platforms, messaging apps, and third-party services.

How Do we Measure if the AI Agent Is Successful?

You measure an AI agent’s success by how well it achieves its goals and improves outcomes over time. Key indicators include task completion rate, accuracy of responses, and how often users get the right result without needing help.

What Metrics Can we Use to Evaluate User Satisfaction?

User satisfaction can be evaluated using a mix of direct feedback and behavioral data. Common metrics include customer satisfaction scores (CSAT), where users rate their experience, and Net Promoter Score (NPS), which measures how likely they are to recommend the service.

How Frequently Should we Conduct Performance Reviews of the AI?

AI performance reviews should be done on a regular, structured cycle—plus continuous monitoring in the background. For most use cases, a monthly review works well to assess key metrics like accuracy, task success rate, and user satisfaction.

How Long Does It Take to Design and Deploy an AI Agent?

The biggest factors affecting time are the scope of features, data availability, integration needs, and testing requirements. Planning, iteration, and optimization are just as important as the initial build, so deployment is often just the beginning of ongoing improvements.

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