Cloud
Managed deployment with documented access, monitoring, backups, and support boundaries.
The platform
One academy. Every part connected.
A maintained platform core, configured for your brand, learners, curriculum, labs, identity, reporting, and operating environment.
01 · Courses & paths
Guide every learner.
Build structured courses, role-based paths, timed examinations, and certificates around your approved content.
- Branded learner experience
- Role and cohort organization
- Optional local knowledge assistant
02 · Hands-on labs
Practice in real environments.
Connect instruction to browser simulations, Linux and Windows virtual machines, and scoped CTF or SIEM integrations.
- Browser-based practice
- Controlled VM lab access
- Scenario-specific scoring rules
03 · Progress & proof
Measure what learners can do.
Combine quizzes, auto-grading, exams, completion data, certificates, and scheduled reporting.
- Auto-graded exercises
- Dashboards and exports
- Cohort and learner progress
04 · Reliable operations
Run with clear guardrails.
Use health monitoring, backup hooks, audited automation, documentation, and an agreed support model.
- Platform health and telemetry
- Approved operational playbooks
- Runbooks and administrator training
Start at the right scale
Three launch paths.
Final scope follows discovery, infrastructure needs, content readiness, and acceptance criteria.
Starter
Pilot one program.
For a small team or a focused proof of value.
- 2–4 courses
- Up to 250 learners
- Browser labs + 2 VM labs
- Quizzes and completion tracking
- Cloud or single-node deployment
Standard Flagship
Launch a department academy.
For a college, workforce program, or internal training team.
- 5–10 courses
- Up to 2,000 learners
- 6–12 VM labs + auto-grading
- SSO, reporting, certificates
- Cloud, on-premises, or hybrid
Enterprise
Support a complex program.
For multi-unit, multi-site, or deeply integrated delivery.
- 10–25+ courses
- Scoped learner volume
- Custom lab fleet + integrations
- Advanced roles and reporting
- High-availability options
Hardware, third-party licenses, extensive content authoring, unknown legacy migration, formal accreditation, and net-new product development are scoped separately.
Security & control
Deploy where your requirements lead.
Your configuration, content, identities, data retention, AI knowledge sources, and support boundaries are defined before launch.
On-premises
Keep the platform and approved local AI workloads inside your controlled environment.
Hybrid
Separate public-facing learning, sensitive labs, identity, and data based on your architecture.
Acceptance-led
Named approvers, written tests, a reviewed configuration, and a clear handoff define completion.
A controlled build
From discovery to a launch your team owns.
Bring your audience, content, and constraints. We’ll map the platform, the labs, and the right launch path.
Request an architecture demo