Deep work at scale for
super teams

Remove the noise: automations and agents do the repetition, while humans
stay in full control of creativity, accountability, and decisions.

So what is DeepCycle

DeepCycle is an agentic workflow automation platform that turns teams into super teams.
It connects your tools, runs AI-driven workflows, and keeps humans in control with approvals—so work
moves faster, safer, and with full visibility.

Repeatable Workflows Automated. Automate repeatable work across your tools—scheduled, event-driven, or on-demand.

Capture inputs from people, systems, and forms, then move tasks forward step by step. Runs stay trackable, so teams stop guessing and start shipping.

Repeatable Workflows Automated. Automate repeatable work across your tools—scheduled, event-driven, or on-demand.

Capture inputs from people, systems, and forms, then move tasks forward step by step. Runs stay trackable, so teams stop guessing and start shipping.

Repeatable Workflows Automated. Automate repeatable work across your tools—scheduled, event-driven, or on-demand.

Capture inputs from people, systems, and forms, then move tasks forward step by step. Runs stay trackable, so teams stop guessing and start shipping.

What DeepCycle is built to handle

Core capabilities designed to support real workflows, decisions, and long-running systems.

Build

Project Management

Collaborate

Extend

Build Workflows

How workflows are created

Design workflows visually with drag-and-drop steps, clear flow maps, and fast edits.

Connect to popular tools instantly and combine them into end-to-end automations.

Add conditions, branching, loops, and data mapping to handle real-world complexity.

Collect text, numbers, dates, and files via forms, embedded fields, or assigned tasks.

Deploy Agents

How AI agents power work

Agents make step-by-step decisions and execute across tools—so work moves without constant supervision.

Summon an agent for any task: draft, analyze, transform, troubleshoot—then apply the result instantly.

Define how agents think and act—goals, tone, rules, constraints—so outputs stay consistent.

Agents retain task context and preferences over time—less repetition, smarter outputs, faster cycles.

Human Control

How humans stay in control

Pause any workflow at key moments so humans can review, edit, approve, or reject.

Assign reviewers as teams or individuals, with multiple intervention stages when needed.

Review in-context with a purpose-built editor that makes approvals fast, clear, and safe.

Set anyone-accepts vs everyone-accepts, plus what happens on approve/reject (continue/stop/retry/branch).

Manage Projects

How progress is tracked

Organize workflows, assigned flows, and collaborators into clean buckets with clear boundaries.

See throughput, completion rates, and bottlenecks across projects, teams, and workflows.

Track each execution’s state (queued/running/paused/failed/completed) plus step-by-step progress.

Measure time spent on reviews/approvals to improve work-time quality, not to surveil people.

Built alongside real teams

DeepCycle is developed with teams who operate complex systems and care about long-term
intelligence—not short-term output.

Build Superteams where Execution
meets Ownership and Synergy

Replace scattered work with automated workflows, AI agents, and human approvals—so
teams operate as one.

See what’s stuck. Spot bottlenecks instantly across workflows and approvals, so work keeps moving without delays.

See Superteams form. Automation removes busywork, so people align faster, collaborate better, and ship outcomes together.

See who did what. Track contributions and handoffs across projects and teams—clear accountability without surveillance.

Built for teams that run real work

Cut costs with Deep Cycle

Cost savings based on average price per user for each app.

Latest from our blog

Stop resetting systems.
Start building intelligence.

Work moves across teams, devices, and goals. Intelligence should move with it.
DeepCycle preserves context as work shifts so learning never gets lost.