Automation built on the way you work
Nebula gives agents the current state and workflow history they need to complete more work, repeat fewer mistakes, and use less context on every run.
Bad context compounds inside a closed-loop
A stale fact or contradictory instruction does not cause just one failure. It becomes the starting state for the next turn, multiplying rework, tool calls, human intervention, and operational risk.
See how your work actually happens
Nebula Workflows traces every handoff across your systems, including the actions taken by people and agents. See where work stalls, where context breaks, and which paths consistently produce the right result. Those traces become repeatable playbooks your agents can follow and improve with every run.
Give every decision the right state
Nebula connects the systems a workflow already uses and resolves entities, time, contradictions, ownership, and provenance. Each agent receives the smallest current state needed for its next action.
Economics that hold at production scale
Dedicated infrastructure, configurable retention, single-tenant deployment, and volume pricing designed for workflows that run continuously.
Control the risk boundary
Keep sensitive workflow state inside single-tenant deployments with customer-managed keys and audit logs delivered to your SIEM.
Reduce integration overhead
A named engineering contact, shared incident channel, and architecture reviews keep your team focused on the workflow instead of the infrastructure.
Lower unit costs as volume grows
Per-item rates fall as workflow volume grows, with the option to bring your own inference. More completed work should improve the economics, not erode them.
Match your compliance requirements
SOC 2 Type II audit in progress. Security controls documented on the trust pages.
Security at ZerosetMeasure the workflow, not the demo
Benchmarks validate Nebula's retrieval and memory performance. Evaluations measure what matters in your environment: successful completions, intervention rate, execution cost, latency, and repeated errors.
Prove the return on your first workflow
We subsidize the first workflow proof for qualified teams. Together, we baseline how the workflow runs today, agree on a success criterion, deploy Nebula in shadow mode or production, and measure the improvement against it.
Choose a repeated workflow
Start with a multi-step process that runs often and produces an observable result.
Establish the baseline
Measure completion rate, human intervention, execution time, model usage, and cost today.
Run the proof
Test the Nebula-backed agent against the current process in shadow mode or production.
Measure the return
Compare successful completions, repeated errors, intervention rate, and cost per workflow.