Stark
Workload

Make capacity visible before it becomes a blocker.

Understand allocation across teams and use intelligent recommendations to rebalance work before deadlines move.

Marketing
Website Launch
OverviewListBoardTimelineCalendarDashboard
TaskOwner
Finalize homepageMK
Approve campaign creativeSA
QA responsive layoutsAJ
Launch paid acquisitionDL
Review analytics setupNM
Built for real work

From the first task to the portfolio view.

Stark keeps the underlying work connected so teams can change views and reporting levels without losing context.

Flexible views

Move between list, board, timeline and calendar without recreating work.

Connected dependencies

See the downstream work a blocker can affect before dates move.

Clear ownership

Keep responsibilities, due dates and status visible to everyone involved.

Project intelligence

Surface risk, summarize change and explain the signals behind recommendations.

Reusable workflows

Turn repeatable work into templates, forms and automation.

Portfolio reporting

Roll project progress into a clear view for leaders and operators.

Stark Intelligence

Recommendations with the reasoning attached.

When Stark flags a project, it can show the dependencies, historical cycle time and workload signals behind the recommendation.

Portfolio
Company initiatives
Website redesign
On track
Q4 Campaign
At risk
Mobile Application
On track
CRM Migration
Delayed
Workflow

Automate the handoffs that repeat.

Keep approvals, assignments and notifications consistent without hiding the logic from your team.

WHEN
Task status changes to Ready for review
IF
Priority is High
THEN
Assign to Design Lead
AND
Notify campaign channel
AND
Ask Stark AI to summarize changes
FAQ

A few things teams usually ask.

Can I start with a small team?

Yes. The Free plan is designed for individuals and small teams, and you can move to Team or Business as your coordination needs grow.

Does Stark replace every specialist tool?

Not necessarily. Stark is designed to be the shared work-management layer and can connect with specialist communication, development, design and CRM systems.

How does Stark use machine learning?

Stark can use project context such as deadlines, dependencies, workload and activity patterns to recommend priorities, surface risk and forecast completion.

Can teams inspect AI recommendations?

Yes. The product direction emphasizes explainable recommendations so teams can see the signals behind a suggestion before applying it.

Work moves faster when everyone knows what happens next.