Solutions

Run AI on the data you couldn't expose before

Six industries. Real production workflows. Real customers. LLM Capsule is the context-preserving data layer that removes the data exposure barrier blocking enterprise AI adoption — so AI runs on real data, inside your environment, under your governance.

6
Industries
10+
Production customers
30 min
Time to first evaluation
0
Raw data to external LLM
Real production deployments — across telecom, healthcare, finance, defense, OT, and legal
Telecom

AI in the NOC, OSS/BSS, and customer ops — without exposing subscribers

Network operations carry subscriber identities, device IDs, circuit IDs, IP ranges, and configurations. PII guardrails miss this; sovereign data rules block raw transmission. LLM Capsule encapsulates locally and routes capsules to approved external LLMs (Path A) or on-prem models (Path B for stricter workflows).

Without Capsule
NOC AI pilot stalls
Subscriber IDs, device configs, alarm sequences cannot reach external LLM. Pilot demos on synthetic data, then dies in security review.
With Capsule
RCA + recommendation auto-inserted
Capsule travels; AI generates RCA on protected data; output restored into the original ticket with real subscriber/device/circuit IDs.
Production Workflows
  • Incident RCA generationReal-time root cause analysis on production NOC tickets
  • Customer impact analysisSLA risk and enterprise customer impact summarization
  • Configuration change draftingNetwork config diff explanation and approval drafts
  • Runbook generationAuto-drafting incident-specific runbooks from history
Customer Proof
SK Telecom · Deutsche Telekom T Challenge 2026 — Top 12
Recognized in Data Security & Governance category. NOC RCA generation and customer-impact analysis on real subscriber, network, and configuration data — all encapsulated locally before any LLM call.
Telecom
Read: How to deploy AI in a telecom NOC →
Healthcare

AI for clinical workflows — PHI never leaves the hospital network

Clinical AI promises 30-50% reduction in documentation burden. But PHI cannot leave the hospital under HIPAA, GDPR, or K-PIPA. PII guardrails miss workflow context, lab sequences, and free-text clinical notes. LLM Capsule encapsulates patient identifiers, MRN, diagnoses, and clinical context locally; restoration happens inside the EHR.

Without Capsule
Documentation pilot blocked
Privacy officer blocks deployment. Physicians use shadow AI on personal devices; productivity tasted in pilot disappears.
With Capsule
AI drafts inside Epic / Cerner / HIS
PHI encapsulated; AI drafts radiology summaries and discharge notes; outputs auto-restore in the EHR. Audit feeds the privacy office.
Production Workflows
  • Radiology report draftingAI-drafted impressions from imaging studies + clinical history
  • Discharge summary draftingMulti-source summarization across admission, treatment, and follow-up
  • Clinical coding assistICD-10 / CPT code suggestion with audit trail
  • Care coordination notesMulti-disciplinary handoff drafts with PHI protected
Customer Proof
Ewha Womans University Medical Center (EUMC)
Clinical workflow summarization with PHI never traversing the EUMC boundary in raw form. Local restoration ensures only authorized hospital systems see original patient identifiers. HIPAA-aligned compliance reporting.
Healthcare
Read: How to deploy AI in a hospital →
Finance / Insurance

AI on real claim, policy, and customer data — under bank-grade governance

Insurance and banking workflows are document-heavy and customer-data-heavy: claim narratives, policy details, KYC records, transaction patterns. Sector regulators (FSC, FSS, BaFin, ACPR) increasingly require demonstrable data governance for AI workflows. LLM Capsule keeps customer data inside while AI processes safe capsules.

Without Capsule
Claims AI never reaches production
Customer name, policy ID, claim narrative cannot reach external LLM. AI drafts on synthetic data; production deployment fails risk review.
With Capsule
AI processes claims at production volume
Capsule + restoration enables real-volume claim classification, fraud signal generation, and underwriting drafts inside the insurer's existing systems.
Production Workflows
  • Claim classification & triageAI-powered intake, severity scoring, fraud signaling
  • Damage assessmentMulti-document assessment with vehicle/property data restored
  • Underwriting draftRisk evaluation and premium recommendation drafts
  • Regulatory submissionFiling draft and compliance review assist
Customer Proof
Kyobo · DB Insurance · IBK
AI-powered claim and policy workflows on real customer data. No customer data leaves the institution's environment in raw form. Aligned with sector regulator expectations and SOX where applicable.
Finance / Insurance
Read: Pilot to production for regulated AI →
Public Sector / Defense

AI on classified mission workflows — fully on-prem, zero external transmission

Defense, intelligence, and public-sector workflows demand zero external transmission. No external LLM endpoint is acceptable. LLM Capsule's Path B (on-prem local lightweight model) runs entirely inside the command's network — same Capsule instance, same audit framework, no external reach.

Without Capsule
AI categorically excluded
External LLM use is not permitted. Mission workflows continue without AI support; productivity gap persists.
With Capsule
AI inside command boundary
Quantized on-prem model + Capsule encapsulation + local audit. AI drafts mission briefs, intelligence summaries, and operational reports — entirely within the command.
Production Workflows
  • Mission brief draftingAI-drafted operational briefs from multi-source intelligence
  • Operational report summarizationMulti-format report consolidation and impact synthesis
  • Doctrine reference assistDoctrine and procedure lookup with classification protection
  • After-action review draftPost-operation review with mission identifiers protected
Customer Proof
Ministry of National Defense (Korea)
Mission-grade workflows on Path B (on-prem local) with full audit feed to command-level governance. Mission references, geographic identifiers, and unit data encapsulated; restoration tightly scoped under RBAC.
Public Sector / Defense
Read: Sovereign AI architecture →
OT / Industrial Cyber

AI in OT environments — without exposing asset identifiers or process data

OT (operational technology) workflows protect mission-critical industrial assets — power, manufacturing, oil & gas, water. PLCs, SCADA tags, asset IDs, and process variables can't leak. LLM Capsule encapsulates OT identifiers locally; AI assists with anomaly explanation, runbook drafting, and incident response.

Without Capsule
OT teams blocked from AI
Asset IDs, process variables, vendor configurations cannot reach external LLM. OT operators have no AI support for incident analysis.
With Capsule
AI assist for OT incident response
OT identifiers encapsulated. AI drafts incident analysis, anomaly explanation, and recommended runbook on protected capsule; restored locally for OT operators.
Production Workflows
  • Anomaly explanationAI-generated explanation of detected OT anomalies
  • Asset documentationAuto-drafting asset and process documentation
  • Vulnerability triageVulnerability impact analysis on protected asset data
  • Vendor advisory parsingVendor security advisory parsing and impact mapping
Customer Proof
Claroty
Industrial cybersecurity workflows with OT asset identifiers and process variables encapsulated locally. AI assists analysts without exposing customer infrastructure data.
OT / Industrial Cyber
Read: AI on network & operations data →

Bring your industry, your workflow, your data.

We deploy LLM Capsule on a sample workflow in your environment within 30 minutes — and produce an evaluation report on detection accuracy, restoration rate, and policy fit for your industry's regulatory profile.