Evidence is fragmented
Policies, decisions, operational knowledge, and employee perspectives may be inaccessible, inconsistent, or separated across teams and systems.
Private Diagnostic and Training Appliance
Diagnose, train, and expand inside your environment
The KontextOS PDATA is an expandable, customer-controlled appliance for private diagnostic and training programs. It includes Intro to Applied AI and The Context Architect, combining a Context Readiness Diagnostic with the next step of deliberate context design, remediation, and governance.
$995 list price per year
$495 per year with approved promotion
for the initial pilot package and one defined diagnostic engagement. The AI Operating Layer: Building KontextOS for the Enterprise is planned for a future PDATA update. Post-install course addition and revision are not currently available. Limited, partner-supported pilots are expected to open soon; the PDATA is not available through direct online checkout.
The diagnostic problem
Many AI initiatives begin with technology selection before the organization understands whether its context, responsibilities, knowledge, workflows, and governance can support useful results.
Perspectives diverge
Leaders, managers, specialists, and frontline participants can experience the same workflow very differently.
Remediation lacks ownership
Even when risks are recognized, organizations may lack an evidence trail, likely owner, verification criteria, or governed path to action.
How the course-led process works
1 · Define
Set the diagnostic scope
The customer defines and approves the engagement, participant cohort, real organizational roles, business-unit structure, evidence permissions, and privacy conditions, with help from a separately engaged implementation partner if requested.
2 · Learn and respond
Learn through an approved course
Intro to Applied AI teaches the contextual method while participants provide structured, role-aware responses about authorized real organizational conditions. The Context Architect then helps the organization translate that understanding into context architecture, governance, workflows, and remediation.
3 · Analyze
Compare evidence carefully
KontextOS examines prevalence, divergence, materiality, evidence quality, and privacy-qualified group comparisons without treating every response as a confirmed finding.
4 · Review
Keep people accountable
Human reviewers evaluate candidate findings, approve or reject remediation proposals, assign likely owners, and confirm what evidence supports action.
5 · Act
Export, remediate, expand, or convert
The organization can retain approved outputs, pursue partner-led remediation, add an approved course package when that capability becomes available, remove the appliance when authorized, or continue with the Persistent KontextOS License.
Expandable diagnostic and training architecture
PDATA is intentionally narrower than Persistent KontextOS, but it is not intended to remain limited to one course forever.
Diagnostic and training courses
Approved courses may teach participants, collect authorized organizational context, support a diagnostic, or combine training and discovery in one experience.
Signed, controlled expansion
The AI Operating Layer: Building KontextOS for the Enterprise is planned for a future PDATA update. The planned course lifecycle will use signed, schema-controlled packages to add approved courses or apply compatible revisions without replacing the customer-controlled appliance or its retained runtime records.
Standalone Course Builder (SCB)
The SCB is under active development for an imminent bounded pilot. It will let customers and partners create, preview, review, approve, validate, and package private courses inside a customer-controlled authoring environment. Its signed .kctx releases will use the same source-neutral PDATA course contract as approved KontextOS-authored releases.
Current pilot boundary
Post-install course addition and revision are specified but not yet implemented. Current pilot commitments must be limited to the courses and versions included in the verified release.
Privacy, control, and export boundary
Customer-controlled environment
The engagement is configured inside an environment approved by the customer, using customer-authorized infrastructure, access controls, and evidence.
Customer-selected AI
The customer selects an appropriate compliant AI provider and model and ordinarily supplies the provider account, credentials, and usage charges.
Qualified comparisons
Privacy and complementary-suppression rules can withhold group comparisons when the available response population is too small or could expose participants.
Defined disposition
At the end of each engagement, the customer has defined retention, export, removal, or Persistent-license conversion options for its authorized artifacts. Closing an engagement does not imply that every future PDATA course must use the same scope or cohort.
The PDATA is not a network scanner, an autonomous compliance opinion, a universal readiness score, or a substitute for professional and organizational judgment.
Typical diagnostic outputs
Candidate findings
Prioritized, evidence-linked hypotheses about context conditions that may undermine AI and operational work.
Evidence traceability
Supporting response patterns, materiality, divergence, evidence grades, affected workflows, and stated limitations.
Remediation pathways
Human-reviewed actions, likely owners, status, and verification criteria that can shape a partner statement of work.
Executive Dashboard
A consolidated view of approved priorities, supporting evidence, affected work, remediation ownership, and progress.
Controlled exports
Standard findings and engagement artifacts prepared for authorized customer review, retention, or transition.
Who is responsible for what
| Customer | Implementation partner | KontextOS |
|---|---|---|
| Defines and approves the scope, participants, evidence, privacy conditions, infrastructure, and AI provider; administers the cohort through the self-service workflow; and supervises and reviews the engagement. | Provides only the installation, integration, custom or facilitated training, remediation, or support services that the customer separately requests. Partner intervention is not required to administer or facilitate the cohort. | Licenses the PDATA software, approved course runtime, course-led diagnostic method, standard analysis, findings workflow, exports, and release updates covered by the applicable terms. |
| Supplies the server, storage, network, certificates, backups, infrastructure approvals, and AI usage unless otherwise agreed. | Separately scopes installation, integration, workshops, remediation, training, custom connectors, and ongoing support. | Maintains the controlling product entitlement and the standard self-service software boundary. |
| Makes organizational decisions and authorizes any resulting remediation or deployment. | Provides the professional services agreed with the customer and does not treat candidate findings as automatic conclusions. | Does not replace customer judgment, partner professional services, legal advice, or compliance authority. |
One software price; separately scoped services
PDATA software license
$995 list price per year
$495 per year with approved promotion
The initial pilot package covers one customer organization, one private appliance instance, Intro to Applied AI, The Context Architect, one defined diagnostic cohort, standard analysis and exports, and engagement-disposition rights. The AI Operating Layer is planned for a future PDATA update; the general post-install course lifecycle is not yet implemented.
Partner statement of work
Priced separately
Optional environment preparation, installation, configuration, AI setup, integrations, remediation, custom or facilitated training, and support depend on customer needs and the implementation partner's agreed scope. These services are distinct from approved courses delivered by the PDATA. The customer operates each cohort through the PDATA's self-service workflow.
Optional PDATA Authoring Package
$2,495 PDATA Authoring Package for the first year
The introductory package includes one PDATA license, one SCB author license, Intro to Applied AI, The Context Architect, one onboarding or configuration session, software updates, and normal support. The AI Operating Layer is planned for a future PDATA update. Cloud-model usage and separately scoped partner services are not included.
Availability and delivery status
Early testing; pilots coming soon
The PDATA application and deployment package are now in early testing. KontextOS is preparing a limited number of bounded, partner-supported pilots using real organizational evidence. Each pilot will require a verified customer-controlled environment and written confirmation of the supported configuration, security conditions, responsibilities, success measures, and optional implementation-partner services before commitment.
Discuss a PDATA pilotCreate for PDATA or continue into Persistent KontextOS
The Standalone Course Builder, now under active development for an imminent bounded pilot, provides the optional authoring path for additional approved PDATA courses. Its standard first-year license is $1,995 per end-user author for the first year, with an introductory price of $1,495 for the first year, and it renews at $199 per author per year after the first year. Persistent KontextOS remains the planned path for the full platform and ongoing governed operational context; its first-year license is $7,950 for the first year, renewing at $499 per year after the first year. It includes the complete course pathway, while The AI Operating Layer is also planned for a future PDATA update. A targeted $5,950 first-year competitive-conversion price may be authorized under definitive commercial terms, and implementation-partner services remain separate.
