Solutions

Run AI on the data you couldn't expose before

Six regulated industries run AI on real operational data with LLM Capsule. It keeps your data inside your environment, under your governance, so approved models work on it and usable results come back to your workflow.

Telecom

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.

Read: How to deploy AI in a telecom NOC
Without LLM Capsule
NOC AI pilot stalls
Subscriber and device data can't reach an external model. The pilot demos on synthetic data, then stalls in security review.
With LLM Capsule
RCA and recommendations, auto-inserted
The substituted version goes to the model. The analysis lands back in the original ticket with real subscriber and circuit IDs.

Substitute values run on the model. Real values are reconstructed inside your environment.

Production Workflows
  • 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
Customer Proof
SK Telecom · Deutsche Telekom T Challenge 2026 · Top 12
Data Security & Governance category. RCA ran on real subscriber and network data, substituted locally before every model call.
Healthcare

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 restoration happens inside the EHR.

Read: How to deploy AI in a hospital
Without LLM Capsule
Documentation pilot blocked
The privacy officer blocks deployment. Physicians turn to shadow AI on personal devices, and the pilot gains vanish.
With LLM Capsule
AI drafts inside Epic / Cerner / HIS
AI drafts radiology summaries and discharge notes, and outputs are reconstructed inside the EHR. Audit trails go to the privacy office.

Substitute values run on the model. Real values are reconstructed inside your environment.

Production Workflows
  • 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
Customer Proof
Ewha Womans University Medical Center (EUMC)
Clinical workflow summarization on real records. Original patient identifiers stay with authorized hospital systems.
Finance / Insurance

AI on real claim and customer data, under bank-grade 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.

Read: Pilot to production for regulated AI
Without LLM Capsule
Claims AI never reaches production
Customer names, policy IDs, and claim narratives can't reach an external model. AI drafts on synthetic data and fails risk review.
With LLM Capsule
AI processes claims at production volume
Claim classification, fraud signals, and underwriting drafts run at production volume inside the insurer's existing systems.

Substitute values run on the model. Real values are reconstructed inside your environment.

Production Workflows
  • Claim classificationIntake, severity scoring, fraud signals
  • Damage assessmentVehicle and property data reconstructed
  • Underwriting draftRisk evaluation and premium drafts
  • Regulatory submissionFiling drafts and compliance review
Customer Proof
Kyobo · DB Insurance · IBK
Claim and policy workflows on real customer data, with values substituted locally before every model call.
Public Sector / Defense

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.

Read: Sovereign AI architecture
Without LLM Capsule
AI categorically excluded
External model use isn't permitted. Mission workflows run without AI, and the productivity gap widens.
With LLM Capsule
AI inside command boundary
A quantized on-prem model works on the substituted version. AI drafts mission briefs, intelligence summaries, and operational reports inside the command.

Substitute values run on the model. Real values are reconstructed inside your environment.

Production Workflows
  • Mission brief draftingFrom multi-source intelligence
  • Operational reportsMulti-format consolidation
  • Doctrine reference assistLookup with classification scope
  • After-action reviewMission identifiers substituted
Customer Proof
Ministry of National Defense (Korea)
Mission-grade workflows on Path B, with audit feeding command-level governance. Restoration stays scoped under RBAC.
OT / Industrial Cyber

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.

Read: AI on network & operations data
Without LLM Capsule
OT teams blocked from AI
Asset IDs, process variables, and vendor configs can't reach an external model. OT operators get no AI support during an incident.
With LLM Capsule
AI assist for OT incident response
AI drafts incident analysis, anomaly explanation, and a recommended runbook on the substituted version, then reconstructs it for OT operators.

Substitute values run on the model. Real values are reconstructed inside your environment.

Production Workflows
  • Anomaly explanationOn detected OT anomalies
  • Asset documentationAsset and process docs drafted
  • Vulnerability triageImpact analysis on asset data
  • Vendor advisory parsingAdvisory parsing and mapping
Customer Proof
Claroty
OT asset identifiers and process variables substituted locally. Analysts get AI support without customer infrastructure data.

Start with one workflow AI can't reach yet.

We set up LLM Capsule on a sample workflow from your industry, inside your environment, in 30 minutes.