AI AGENT BUILDER
Build and deploy autonomous AI agents in minutes
Deploy trusted AI agents across your enterprise
Scale autonomous agents across hundreds of use cases quickly and easily with our AI agent builder framework.
Automate complex processes
Tasks like insurance claims, loan approvals, and medical preauthorization require chained decision logic that goes beyond rule-based automation. Simplify them with autonomous agents that handle complex instructions like humans – at machine speed.
Extract insights from unstructured data
Make sense of messy data in PDFs, emails, and images. Our AI agent solutions reveal relevant insights that help you improve customer service, procurement processes, and more.
Retain context for enhanced accuracy
Agentic AI uses memory and knowledge to handle variable, ambiguous workflows where context matters. Unlike rigid bots, it adapts to your business guardrails, optimizing human-centric tasks like onboarding or contract negotiations.
Orchestrate multi-step journeys
Coordinate end-to-end journeys across systems, departments, and employees. Use enterprise AI agent solutions to connect tools, bridge the gap between teams, and streamline tasks – from issuing policies to discharging patients.
How could you use autonomous AI agents?
Customer support
Provide a fast, personalized service
Legal
Review, amend, and generate contracts
Product
Autogenerate release notes and documentation
HR
Onboard new employees or customers
Sales
Automate personalized outreach and help qualify prospects
Marketing
Run multi-channel analysis and build campaign performance dashboards
Operations
Optimize supply chains and forecasts
Creative
Translate and localize digital assets
Learn how to build an agent in minutes
Vertesia's AI agent builder platform features an intuitive user interface for building agents. The studio low-code environment puts tools in the hands of developers for quickly building, customizing, and deploying GenAI apps and agents. It features a comprehensive set of agent tooling for web search, executing parallel workstreams and more.
Tim Law
Research Director, AI & Automation at IDC
The 2026 IDC Innovators: GenAI and Agentic Life-Cycle Tools and Technologies
What makes our agents so powerful?
Our macro-reasoning engine allows Vertesia created agents to think across time (think days, not seconds), adapt knowledge mid-workflow, and manage their own memory. Meaning your business benefits from durable, collaborative, enterprise-grade agentic operations.
Durable agentic architecture
Unlike standard agents, Vertesia's agents survive timeouts and crashes, using active context management to prevent memory overflow and "hitting the wall" during complex tasks.
Collaborative agents
The engine enables a Coordinator Agent to delegate tasks to parallel sub-agents who share a "Blackboard" workspace, allowing for real-time steering, mid-execution corrections, and asynchronous synthesis of results.
Enterprise-grade infrastructure
The macro-reasoning engine supports multi-day workflow durations and intelligent multi-model routing (Claude, GPT, Gemini), ensuring the right model is matched to the specific technical, legal, or creative requirements of the sub-task.
Powered by advanced agent tools and skills
Powered by 50+ tools, 50+ skills, and 100s of third-party integrations.
Intelligence that acts. Integrations that work.
Vertesia agents combine deep expertise with the "hands" that do the work. Deploy 50+ specialized skills from Data Science to Financial Operations, instantly. With native MCP support, your agents connect to Microsoft 365, Google Workspace, GitHub, Notion, and hundreds more with zero development overhead.
Agentic data and analytics
Vertesia agents handle the complete analytics workflow: ingesting your data, building the data model, generating queries, and creating interactive dashboards — all from plain language instructions.
What used to take weeks of data analyst time now takes seconds
In this video, see how marketing teams are visualizing multi-channel attribution
The platform approach to building AI agents
Vertesia’s AI agent builder framework and tools library let you quickly build and deploy agents across your business. With advanced memory and persistence, they run long-term and handle even your most complex processes.
With Vertesia
Quickly and easily build multiple autonomous agents and deploy them across your enterprise from one platform – with full control, visibility, and governance.0 /month
Others
Build and deploy bespoke agents in multiple software solutions, solving one problem at a time – causing security, governance, and maintenance issues.8 /month
With Vertesia
Others
Enterprise-Ready
Enterprise-grade security, built in
Vertesia’s agents inherit user permissions, ensuring answers provided never exceed the user's access level.
Defined guardrails
Rest assured knowing the agent performs all tasks within your security guardrails.
Human in the loop
Get involved at any stage, reviewing decisions and maintaining oversight.
Observability
Gain full visibility into agent decision-making, so you know the why and how.
Accuracy checks
Use agents to check the work of other agents, improving efficiency and accuracy.
AI agent FAQs
What are AI agents?
AI agents are autonomous systems that operate within an environment using tools to achieve objectives.
What is the difference between an AI agent and a chatbot?
While a traditional chatbot is designed for conversation (back-and-forth Q&A), a Vertesia AI agent is designed for action. Instead of just answering questions, our agents use specialized tools and system access to navigate workflows and complete complex tasks autonomously.
Why use AI agents?
Enterprise AI agent solutions can significantly speed up tasks like document analysis and due diligence, compared to humans.
What are AI agent tools?
AI agent tools handle advanced tasks, such as image analysis, spreadsheet manipulation, and parallel workstreams.
What are agent skills, and how are they different from tools?
Tools give agents the ability to take actions (search the web, execute code, manage databases). Skills give agents specialized expertise — executable code and expert instructions for domains like data science, financial operations, and image processing. Together, they make agents capable of handling enterprise-grade work end-to-end.