KRDS Multi-Layer Data Asset Valuation
KRDS combines cost-rebuild, market-comparable, income-attribution, utility-in-use, AI contribution, obsolescence decay, risk discount, and real-option layers into a single composite valuation per asset.
The KRYOS Reference Data-asset Valuation Standard - an eight-layer composite valuation expressed as a defensible P10·P50·P90 band, not a fragile point estimate.
Single-point data valuations collapse under diligence. They confuse current value with option value, technical possibility with legal permission, and assumed contribution with measured contribution. The result is valuations that look credible on a slide and fail under audit, deal, or red-team scrutiny.
KRYOS values each recognized asset across eight layers, weights them under the KRDS standard, and produces explicit P10·P50·P90 bands. Every dollar of value is traceable to its layer, its evidence base, its assumption set, and its dominant sensitivities.
Data and assets reviewed
What the engagement delivers
Eight valuation layers
Cost, market, income, utility, AI contribution, obsolescence, risk, and option value combined through KRDS weights.
P10·P50·P90 bands
Explicit valuation bands instead of single-point estimates, with documented assumptions and triggers.
Layer-by-layer attribution
Every dollar of value is traceable to its layer, its evidence, and its assumption set.
Reconciliation to EARM
KRDS outputs are reconciled to EARM recognition and measurement bases - no orphan valuations.
Dominant-sensitivity ranking
The handful of variables that actually move the band, ranked and documented.
Re-valuation cadence
Triggered and scheduled re-valuation tied to evidence freshness and impairment events.
Artifacts produced
Decisions you can defend
Valuations that withstand hostile diligence, audit, and red-team challenge.
A single defensible value position usable by CFO, M&A, and investor relations.
Explicit ranges and triggers rather than fragile point estimates.
The capital, audit, and AI consequences.
Capital decisions, deal pricing, AI ROI cases, and impairment positions are all downstream of valuation. A weak valuation method moves real capital in the wrong direction. KRDS exists to prevent that.
Eight layers, one composite.
Cost-to-rebuild from primary sources, including acquisition, cleansing, curation, and engineering cost.
Comparable transaction analysis from licensable data markets and observed counterparty deals.
Attribution of revenue, cost-avoidance, or margin uplift to specific data assets.
Quantified utility-in-use across decisions, models, workflows, and operations.
Marginal model-utility delivered by training, eval, RAG, embeddings, and telemetry assets.
Decay curves and freshness-adjusted carrying values per asset class.
Discount for rights, jurisdictional, security, vendor, and operational risk.
Real-option value of future productization, licensing, and composite-asset pathways.
P10 / P50 / P90 Scenario Valuation
Bands, not points. Each scenario carries its own evidence basis and trigger conditions for impairment or upside recognition.
Questions clients ask before engaging.
Is KRDS compatible with IFRS, US GAAP, or upcoming intangible-asset standards?+
KRDS is a valuation method, not an accounting standard. Its outputs are designed to feed recognition and measurement under EARM and to map cleanly to current and emerging intangible-asset disclosure regimes.
Why bands rather than a single value?+
Single-point estimates hide the uncertainty in their inputs. A P10·P50·P90 band makes the assumptions, sensitivities, and trigger conditions explicit - which is the only honest posture for a forward-looking valuation.
Do you value assets we cannot legally transfer?+
Yes, but separately. Utility-in-use value is recognized internally; market and productization value are only attributed when rights and transferability are evidenced.
How is AI contribution valued?+
Through marginal-utility attribution to model lift, reliability, governance posture, and benchmark value - measured against documented eval sets, not narrative.
How often should valuations be refreshed?+
On a scheduled cadence - typically quarterly for material assets - and on triggered events such as rights changes, impairment signals, or AI utility shifts.
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.