Private appliance AI
Private intelligence for organisations where confidentiality is not optional. A local appliance model for teams that need useful AI without sending sensitive client, patient, case, or investigation data to cloud model providers.
Core distinction
BlackBox Node is built for organisations that want AI assistance while keeping sensitive working material inside their own environment.
Common cloud pattern
Typical cloud AI workflows move prompts, documents, and context into an external service boundary that may be difficult to approve for privileged, patient, investigative, or regulated information.
BlackBox Node pattern
The appliance direction keeps indexing, retrieval, model execution, permissions, and audit events inside the client-controlled environment.
Operating model
The homepage keeps the workflow high level: where the appliance runs, how source access starts, how knowledge is prepared, and where permissions and audit sit.
Install BlackBox Node inside the client environment on approved appliance hardware and local network boundaries.
Attach read-only sources selected by the organisation, with connector scope agreed before ingestion starts.
Extract and prepare searchable knowledge inside the appliance boundary rather than a public model service.
Apply user, role, matter, client, and case permissions before relevant context can reach a local model.
Record access, ingestion, query, and administration events inside the deployed environment for operational review.
Product posture
BlackBox Node is positioned around local inference, local indexing, and local governance rather than public cloud prompt submission.
The product story is built for sectors where confidentiality, privilege, patient privacy, or restricted information controls shape technology decisions.
The appliance roadmap keeps matter, client, and case permissions ahead of retrieval so users only query information they are allowed to access.
Trust cues
These are product design directions and readiness themes, not certification claims or legal guarantees.
Keep sensitive source content, indexes, retrieval, and model execution within the client environment.
Matter and case permissionsUse professional access boundaries before retrieval assembles context for an answer.
AuditabilitySupport accountable usage with local audit events for access, ingestion, query, and administration actions.
Read-only ingestionConnect approved sources without turning the public product website into a data intake channel.
Local model runtimeStart with local model execution through appliance-controlled runtime abstractions.
Sector landing pages
Each sector path is shaped for targeted advertising and product education without turning the public website into a confidential data channel.
Client confidentiality, privilege, matters, discovery material, and internal precedent.
MedicalPatient-sensitive operations, policy search, clinical administration context, and HIPAA readiness discussions.
PsychologyTherapeutic notes, safeguarding records, professional confidentiality, and cautious AI boundaries.
SecurityInvestigations, incident reports, threat intelligence, and confidential operational knowledge.
Financial ServicesClient files, regulated advice material, due diligence, and committee documentation.
Accounting / TaxClient financial records, audit preparation, tax files, and advisory knowledge.
Public SectorCitizen records, procurement material, policy documents, and restricted public information.
Research / IPLab notes, invention records, R&D knowledge, patent material, and trade secrets.
EducationStudent information, safeguarding context, governance documents, and internal policy content.
Executive AdvisoryBoard packs, strategy documents, M&A material, and confidential internal knowledge.
Choose the next step
Use public routes for product education and commercial enquiries only. Do not submit confidential client, patient, case, investigation, or regulated data through this website.
Commercial packaging
Evaluation, readiness, and strategy
Small professional teams
Regulated teams needing support
Trust boundary
The public website explains the product. The deployed BlackBox Node appliance runs inside the client environment and keeps sensitive work away from public website routes.
Baseline questions
Next step
Start with the environment, data sensitivity, professional obligations, and the right appliance shape before any implementation decision.