Run AI on the data you couldn't expose before
Sensitive operational data can't go to an external AI in raw form. LLM Capsule is the Context-Preserving Data Layer for AI that handles it inside your environment. Approved models work on a substituted version, and the answer comes back to your workflow with the original values restored.
NOC and customer-ops AI, without exposing subscribers
Subscriber IDs, circuit IDs, and network configs are what generic PII filters miss. LLM Capsule substitutes them locally, so an approved model runs the real workflow.
Substitute values run on the model. Original values are restored inside your environment.
- Incident RCA generationOn production NOC tickets
- Customer impact analysisSLA risk for enterprise accounts
- Configuration change draftingConfig diffs with approval drafts
- Runbook generationDrafted from incident history
AI for clinical workflows, with PHI inside the hospital network
PII guardrails miss clinical context, lab sequences, and free-text notes. LLM Capsule substitutes patient identifiers, MRN, and diagnoses locally, and the real values are restored inside the EHR.
Substitute values run on the model. Original values are restored inside your environment.
- Radiology report draftingFrom imaging studies and history
- Discharge summary draftingAcross admission, treatment, follow-up
- Clinical coding assistICD-10 / CPT with audit trail
- Care coordination notesMulti-disciplinary handoff drafts
AI on real claim and customer workflows, under your governance
Claim narratives, policy details, and KYC records are document-heavy and full of customer data. LLM Capsule keeps those values inside while an approved model does the work.
Substitute values run on the model. Original values are restored inside your environment.
- Claim classificationIntake, severity scoring, fraud signals
- Damage assessmentVehicle and property details back in the answer
- Underwriting draftRisk evaluation and premium drafts
- Regulatory submissionFiling drafts and compliance review
AI on classified mission workflows, fully on-prem
Isolated networks rule out external model endpoints. LLM Capsule Path B runs a local model inside the command network, with the same LLM Capsule instance and the same audit framework.
Substitute values run on the model. Original values are restored inside your environment.
- Mission brief draftingFrom multi-source intelligence
- Operational reportsMulti-format consolidation
- Doctrine reference assistLookup with classification scope
- After-action reviewMission identifiers substituted
AI in OT environments, without exposing asset or process data
PLCs, SCADA tags, asset IDs, and process variables can't leave the plant. LLM Capsule substitutes those identifiers locally, so AI can explain anomalies and draft runbooks.
Substitute values run on the model. Original values are restored inside your environment.
- Anomaly explanationOn detected OT anomalies
- Asset documentationAsset and process docs drafted
- Vulnerability triageImpact analysis on asset data
- Vendor advisory parsingAdvisory parsing and mapping
AI for matter management, with privilege intact
Contracts, deal terms, M&A code names, and litigation strategy are privileged. LLM Capsule substitutes parties and terms locally, and restoration happens inside the firm's matter management system.
Substitute values run on the model. Original values are restored inside your environment.
- Contract reviewRisk summary across long contracts
- Due diligence summaryMulti-document M&A diligence
- Regulatory filing draftFiling drafts with terms substituted
- Matter triageIntake and routing, privileged inside
Start with one workflow AI can't reach yet.
In a 30-minute session, we walk through LLM Capsule on a sample workflow from your industry, then plan the setup in your environment.