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For enterprise platform and security teams

Deploy personalized software without giving up control.

Worka lets enterprises give teams software built around their real work while keeping deployment, security, traceability, and isolation under enterprise control.

Private, on-prem, and air-gapped deploymentCapability packaging and versioningTraceable execution
Worka forge graph showing enterprise build orchestration and release state

Enterprise control does not have to mean generic software. Worka keeps delivery visible while the software stays tailored to the work.

Why enterprises use Worka

A way to deliver personalized software without losing governance.

Worka gives enterprises a governed way to deliver software that actually fits different teams, workflows, and operating environments.

Personalized internal software

Give business units and teams software built around their real work instead of forcing everything through generic internal tooling.

Governed rollout

Keep deployment, security, auditability, and execution boundaries under enterprise control while teams still get tailored software.

Capability packaging

When a workflow needs a missing tool or integration, Worka can build, package, version, and attach it as an explicit capability unit.

Deployment choice

Run Worka hosted, privately, on-prem, or air-gapped when enterprise policy and integration reach demand it.

Platform architecture

How enterprise stays in control while the software stays flexible.

Orchestration, bounded agent roles, capability packaging, and event-backed traceability are part of the runtime itself rather than bolted on later.

01

Orchestrator as control plane

Progress, tasks, edges, and execution state are coordinated through the orchestrator instead of being hidden in ad hoc client flows.

02

Packs as capability units

Integrations and runtime capabilities are packaged, versioned, and attached as explicit capability units.

03

AI team members with bounded roles

Specialised agents collaborate through defined responsibilities rather than one unbounded assistant with too much reach.

04

Event-log-backed traceability

Fork/join execution and progressive release should be reconstructed from canonical events, not from local hidden state.

Worka workflow after deployment

Delivery is not the end of the story. The runtime, graph, and capability boundaries stay visible after deploy.

Deployment options

Deploy where your security model requires.

Use a managed deployment, run privately in your own environment, or operate in a fully isolated setting when policy demands it.

Hosted

Fastest path for organisations that want managed operation while still keeping the Worka control model.

Private / on-prem

Deploy into a controlled environment with tenant boundaries, enterprise policies, and internal integration reach.

Air-gapped

For organisations where network isolation is non-negotiable, not an afterthought.

Enterprise use

Where Worka tends to land first inside large organisations.

Internal AI platform teams
Employee tools that do not fit off-the-shelf SaaS
Regulated workflows and approvals
Operations modernisation
Private deployment programs
Governed AI rollout
Get started

Bring personalized software into environments generic AI products cannot serve.

Worka is designed for organisations that want the upside of AI-built software without giving up the controls enterprise environments actually require.