One connected ecosystem. Built for your enterprise.
Great agents need more than a model. Give them the context, connections, and controls to become part of everyday work.
Your expertise. Ready to act.
Agent Lab
Knowledge · Skills · Tools
Your expertise. Ready to act.
Give your expertise a new way to work.
Bring models, instructions, knowledge, and tools together in Agent Lab. Turn business expertise into reusable skills and agents that work with context.
Register permitted actions, validate required facts, and apply explicit policy rules before an agent acts. Bring the right people into decisions that need judgment.
Take a closer look at the workspace. Start small, test with your own context, and define the controls your process needs.
Explore the workspace as you scrollFive moments, from setup to review
Start
Give your first agent a purpose.
Start in your ART workspace. Trixy guides the initial setup, helping you move from an idea to an agent you can try.
Look for: a clear starting point and a ready workspace.
Demo workspace · Tap to enlargeShape
See how the work connects.
Explore the flow board to see how events, data preparation, and agent steps fit together. Review the workflow before putting it into motion.
Look for: explicit connections between each step.
Demo workspace · Tap to enlargeGovern
Set the boundaries before the run.
Configure policy governance and human review in recipe setup. Define the actions, facts, and approval rules your process needs.
Look for: separate controls for policy and human judgment.
Demo workspace · Tap to enlargeTest
Try the agent. Inspect the response.
Send a test message alongside the workflow and review the reply. Start with a simple input, then evaluate the cases that matter to your team.
Look for: the workflow and its test conversation in one view.
Demo workspace · Tap to enlargeInspect
Go beyond the final answer.
Open response details to examine structured fields. In this requisition example, the result exposes the approval requirement for review.
Look for: inspectable output you can evaluate against your criteria.
Demo workspace · Tap to enlarge
Agent LabDemo workspace
Start · Give your first agent a purpose.
Product screens from demo workspaces. Examples vary by step. Select an image to enlarge.
Make your first workflow the proof.
Bring a process, a sample input, and a clear success criterion. In a guided evaluation, assess response quality, review the controls, and decide what is ready for your team.
The agent has gathered the facts. Your policy requires a person to decide.
Registered action
update_delivery_date
Required facts
Validated
Policy outcome
Human approval
Execution pausedNo change is made before approval.
A sample policy flow. No live business action is performed.
Explicit policy rules Scoped access Human authority Execution visibility
The ART ecosystem
Your data. Your systems. One connected workflow.
Give agents the context to understand the work, the tools to move it forward, and the connections to keep people involved.
ART Datalake
The work moves forward. The context stays with it.
A document arrives. A record changes. An agent picks up the next task. Bring the files, structured data, and memory behind that work into one managed foundation.
Storage
Keep the source within reach.
Organize documents and generated files in buckets and folders. Give workflows access to the material they need within the right project and environment.
Example · Supplier onboarding
suppliers / onboarding
supplier-brief.pdfSource document
review-summary.pdfGenerated output
Buckets & folders · Scoped access
Dynamic tables
Give business data a working structure.
Define typed fields, validation, and relationships. Evolve your schema with version history, and make record changes available to connected workflows.
Example · Supplier records
Illustrative dynamic table
Supplier
Review status
Northstar
In review
Meridian
Ready
Text fields · Validation · Relationships
Typed schemas · Version history
Agent memory
Let useful context carry forward.
Persist agent memory and conversation history beyond a single interaction. Keep relevant context available for subsequent work, with controls to update or remove it.
Example · Context for the next task
Useful context
Supplier prefers delivery updates by email.
Available to the next interaction
Durable memory · Conversation history
Retention & management
Keep what matters. Decide what stays.
Persistence needs boundaries. Set lifecycle rules for your data and files, manage memory deliberately, and keep changes accountable.
ART (A Realtime Tech) brings AI agents, execution governance, workflow orchestration, and real-time communication into one ecosystem. Agent Lab helps you build and coordinate agents; Live Connect connects applications, people, and events.
How does ART govern an AI agent’s actions?
ART places programmatic controls between an agent’s proposed action and execution. Registered actions, required facts, deterministic validation, and policy rules determine whether work can proceed, must stop, or needs human approval.
Can people approve a decision before an agent acts?
Yes. Human-in-the-loop workflows can pause execution for approvals, feedback, or escalation. Configure role-based participants, response policies, quorum, and timeout behavior to match the process.
Can I connect ART to my existing systems?
Use connectors, APIs, MCP servers, and webhooks to connect tools and business systems. Knowledge bases provide agent context, while Live Connect supports real-time messaging and events between applications.
Where should my team start?
Explore Agent Lab for governed agents and workflows, or the Live Connect Sandbox for real-time application development. Visit pricing for current plan limits, or request a walkthrough to discuss your use case and deployment requirements.
GET IN TOUCH
Let’s create something awesome together! Use the contact form to get in touch, or email us at info@aiotrix.com. We’ll get back to you shortly.