Where the KRYOS operating system applies.
The methodology is industry-agnostic. The asset taxonomies, rights posture, and productization pathways are not - they are engineered per sector.
One operating system, eight sector lenses.
Financial Services
Customer, transaction, alternative, and risk data assets - recognized, valued, and stress-tested for capital, productization, and M&A.
- · Customer & KYC
- · Transaction streams
- · Alt-data feeds
- · Risk & model datasets
- · Tier-1 data asset registry
- · KRDS valuation bands
- · Rights & jurisdiction posture
- · Investor & regulator pack
Capital and AI investment is committed against data the bank cannot identify, prove rights to, or value defensibly under audit pressure.
Insurance
Claims, telematics, loss-experience, and actuarial assets - recognized, productized, and stress-tested across hostile scenarios.
- · Claims & loss history
- · Telematics streams
- · Actuarial corpora
- · Reinsurance datasets
- · Loss-experience asset registry
- · Scenario stress fan
- · Reserve-impact band
- · Reinsurance evidence pack
Underwriting and reserving depend on data assets that are unmeasured, unbounded by scenario, and untested against adversarial conditions.
Healthcare & Life Sciences
Clinical, real-world evidence, and research assets - governed by consent and provenance from inception, valued under utility and option layers.
- · EHR & clinical data
- · RWE cohorts
- · Genomic & omics
- · Trial & registry data
- · Consent-graph registry
- · Provenance & lineage chain
- · Cohort utility valuation
- · Partner-readiness pack
Research and AI programs touch consent-bound data without a provable rights posture, blocking productization and partnership.
Industrial & Energy
Sensor, telemetry, fleet, and operational exhaust assets - captured, recognized, and monetized through indices, benchmarks, and clean rooms.
- · SCADA & PLC streams
- · Fleet telemetry
- · Maintenance logs
- · Energy & emissions
- · Exhaust capture map
- · Fusion benchmark assets
- · Productization pathways
- · Capitalization plan
Operational exhaust accumulates without recognition; valuable cross-fleet benchmarks and indices are never productized.
Retail & Consumer
First-party customer, loyalty, and basket assets - productized into benchmarks, indices, and clean-room collaborations.
- · Loyalty & CRM
- · Basket & SKU streams
- · Foot-traffic
- · Ad & attribution
- · First-party asset registry
- · Clean-room productization
- · Index & benchmark design
- · Buyer pathways
First-party value is undervalued internally and underpriced externally - clean rooms and indices are imagined, not engineered.
Technology & AI
Training corpora, RAG indexes, embeddings, telemetry, and governance assets - valued for utility, not narrative.
- · Training corpora
- · RAG indexes
- · Embeddings & evals
- · Model telemetry
- · AI asset map
- · Utility-attribution valuation
- · Eval-set provenance
- · AI investor pack
AI-native assets dominate investment but are absent from the balance sheet and indefensible under buyer or auditor diligence.
Telecommunications
Network, location, and usage exhaust assets - rights-cleared and productized under enforced consent posture.
- · Network telemetry
- · Location signals
- · Usage exhaust
- · Roaming & interconnect
- · Rights-cleared asset registry
- · Consent posture enforcement
- · Productization pathways
- · Regulator-ready pack
Vast monetizable exhaust is blocked by ambiguous consent and licensing; productization stalls at compliance review.
Public Sector & Defense
Mission, sensor, and operational data assets - passported with provenance and clearance posture, valued under utility and option.
- · Mission datasets
- · Sensor & ISR streams
- · Operational records
- · Research corpora
- · Clearance-aware registry
- · Provenance & lineage chain
- · Utility valuation pack
- · Oversight & assurance pack
Mission and sensor assets lack a registry, lineage, and utility valuation suitable for funding, partnership, and oversight.
What every engagement produces, regardless of sector.
Asset registry
Forensically discovered, classified, evidence-tagged, rights-aware.
Valuation bands
KRDS-composite P10 / P50 / P90 with sensitivity decomposition.
Rights posture
Jurisdictional, licensing, and consent positions enforced at runtime.
Capital pack
Investor-, auditor-, and M&A-ready binder with red-team challenge.
Begin with a forensic data asset assessment.
A focused engagement that maps your data estate, scores assets against KRYOS frameworks, and produces a board-ready brief on what to recognize, value, productize, and capitalize.