Use an AI Agent node to your workflows to enable real-time reasoning, decision-making, and autonomous task execution. Connect your preferred LLM, business data, and 100+ tools so agents can understand context and act on real-world tasks seamlessly.
Enable workflows to reason on the fly using Agentic AI nodes-making decisions, adapting steps, and completing tasks autonomously.

10+ AI vendors to choose from as per your preference. Use different models for different use cases.

Connect your business data to provide context to the agent to take the right decision for you depending on your policies.

Connect your business data to provide context to the agent to take the right decision for you depending on your policies.

Assemble AI Agents with a drag-and-drop builder, connect models and tools, and leverage a rich node library—no code required. Debug and refine your agents visually, making it easy to build, test, and scale with confidence.
Connect to tools and AI models visually without writing any code. Just drag, drop and connect.

Assist your agent with a rich library of nodes - database queries, JavaScript, API calls, loops, email/SMS - to streamline processes without writing code.

Debug issues in your agent visually with ease. No digging through logs - just click and inspect.

Run AI Agents within workflows triggered by schedules, webhooks, or app events—so intelligent decision-making kicks in exactly when your business needs it.
Activate AI Agents directly from your apps—on button clicks, form submissions, or data changes—enabling real-time, context-aware decisions without writing glue code.

Schedule AI Agents to run at defined intervals—hourly, daily, or via CRON—automating recurring decisions and tasks without manual intervention.

Let external systems invoke your AI Agents in real time through secure webhooks—so your agents can instantly respond, reason, and act on incoming events.

Run AI Agents reliably across long-running processes, parallel workflows, and complex, multi-step decisions. Ingest and reason over large-scale data from multiple sources while maintaining performance, context, and accuracy.

Run AI Agents within complex workflows that manage approvals, retries, external waits, and human-in-the-loop steps. Agents retain context and continue reasoning across extended processes-ensuring reliable execution from start to finish.
Deploy AI Agents in parallel—enabling teams to automate complex decisions at scale without impacting performance or reliability.
Empower AI Agents to ingest and reason over high volumes of data from databases, APIs, and services—making context-aware decisions even as data complexity and scale grow.
AI Agents connecting your stack-less manual coordination, clearer outcomes.
Schedule meetings automatically across calendars
Generate and assign tasks based on Slack messages
Auto-create purchase orders for low inventory
Personalize marketing campaigns in real time
Handle customer refund requests automatically
Problem
Deploy AI Agents in parallel—enabling teams to automate complex decisions at scale without impacting performance or reliability.
Solution
A user can simply say,
“Can you find time for me to meet with John and Jane next week to discuss the product launch?”
The AI Agent checks Google Calendar for common availability, creates an invite, and sends an email through Gmail with the meeting details.





