PATENT-PENDING TECHNOLOGY PORTFOLIO

Technology for trust, control, and proof

Increasingly, important claims are produced by systems whose operator benefits from the result.

• A model says a claim is supported.

• A platform says nothing prohibited was detected.

• A service provider says an obligation was met.

• A sensor reports that no event occurred.

• An intelligence seller promises exclusivity.

The question is whether another party can verify the basis for any of those statements. Salvara's technology portfolio addresses that problem across software, AI, infrastructure, hardware, sensing, and information markets.

Increasingly, important claims are produced by systems whose operator benefits from the result.

• A model says a claim is supported.

• A platform says nothing prohibited was detected.

• A service provider says an obligation was met.

• A sensor reports that no event occurred.

• An intelligence seller promises exclusivity.

The question is whether another party can verify the basis for any of those statements. Salvara’s technology portfolio addresses that problem across software, AI, infrastructure, hardware, sensing, and information markets.

Salvara has developed nine core technology families for controlling disclosures, establishing evidence and coverage, preserving point-in-time knowledge, creating independently verifiable infrastructure records, and governing intelligence as a commercial asset.

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Governed Intelligence & Controlled Disclosure

EGAG · PDM / IEAL

Temporal Evidence & Living Intelligence

DSC · LIL

Coverage & Detection Assurance

CCA · SCA

Technology Portfolio

Hardware & Service Assurance

OPT · ACR

Intelligence Assets & Marketplace Rights

Savantt

Salvara's Technology Portfolio spans governed intelligence, coverage, temporal evidence, infrastructure assurance, sensing, and intelligence rights.

Governed Intelligence & Controlled Disclosure

EGAG · PDM / IEAL

Temporal Evidence & Living Intelligence

DSC · LIL

Coverage & Detection Assurance

CCA · SCA

Hardware & Service Assurance

OPT · ACR

Intelligence Assets & Marketplace Rights

Savantt

Salvara's Technology Portfolio spans governed intelligence, coverage, temporal evidence, infrastructure assurance, sensing, and intelligence rights.

Technology Portfolio

Trust should be something a system can demonstrate

Many systems can produce an answer, prediction, certification, or report. The difficult questions come afterward.
• What supported it?
• What was actually examined?
• What was the system capable of detecting?
• What did the analysis actually use?
• What was knowable at the time?
• What changed later?
• Can another party verify any of it?
Salvara's technology portfolio is built around these questions.

Control what can be said

Tie assertions and disclosures to evidence, policy, context, and release conditions before they leave the system.

Make coverage visible

Distinguish a defensible scoped result from an incomplete search, missing population, or detector that could not reliably see the target condition.

Preserve what was knowable

Create evidence structures that can establish what information existed, what a process actually used, and how conclusions should evolve.

Make verification portable

Create records that counterparties, customers, auditors, insurers, regulators, or other relying parties can independently check.

Five technology areas. One underlying principle.

The implementations range from enterprise AI to semiconductor telemetry and physical sensing. The common principle is simple: important claims should be constrained by verifiable evidence rather than by the producing party’s confidence alone.

Governed Intelligence & Controlled Disclosure

Coverage & Detection Assurance

Temporal Evidence & Living Intelligence

Hardware & Service Assurance

Intelligence Assets & Marketplace Rights

Governed Intelligence & Controlled Disclosure

Control the strength, content, and release of assertions before they leave the system.

Most AI governance is designed to detect problems after unrestricted content has already been generated. Salvara’s architectures move governance closer to the release boundary by tying assertions and disclosures to evidence, policy, recipient context, and the exact artifact ultimately delivered.

From Evidence to Governed Release

Evidence sources

Evidence characterization

Authorization policy

Controlled rendering

Exact-artifact release gate

Recipient verification

Live communication · Chained outputs · Multi-tenant inputs · Controlled perimeter egress

Evidence and policy determine what may be rendered and released, with verification tied to the resulting artifact.

From Evidence to Governed Release

Evidence sources

Evidence characterization

Authorization policy

Controlled rendering

Exact-artifact release gate

Recipient verification

Live communication · Chained outputs · Multi-tenant inputs · Controlled perimeter egress

Evidence and policy determine what may be rendered and released, with verification tied to the resulting artifact.

Patent pending

EGAG

Evidence-graded authorization and controlled rendering

EGAG governs how assertions about real-world entities may appear in a released artifact. Evidence can be characterized across multiple dimensions, compiled under a versioned policy, and combined with subject-binding confidence and claim category to determine permitted assertion strength and accompanying obligations. The architecture also supports claim-level rendering and independently verifiable governance records.

Enterprise AI · Compliance · Research systems · Reporting · Governed generation

Patent pending

PDM / IEAL

Policy-governed communication and anchored adjudication

PDM / IEAL applies positive authorization to live communications. Rather than asking only what an AI agent should avoid saying, the architecture can restrict disclosure to approved artifacts and mechanically gate the content that is actually transmitted. It also supports later adjudication against evidence captured before the claim being evaluated was received.

AI agents · Procurement · Negotiation · Regulated communication · Messaging · Email

Governance across shared systems

Selected supplementary mechanisms extend the architecture to assertions reused through chains of downstream outputs, multi-tenant infrastructure, analytics where several customers share physical systems, environments where raw information must remain inside a jurisdiction or perimeter while approved derived intelligence may leave, and governed promotion of cross-tenant knowledge.

AI infrastructure · Confidential computing · Sovereign deployments · Regulated industries · Managed analytics

Coverage & Detection Assurance

A negative result is only as strong as what was actually searched, observed, or capable of being detected.

No record found. Nothing detected. No incidents identified. Each can sound definitive while hiding a very different reality: an unavailable source, incomplete population, sampling gap, weak sensor, unsupported operating condition, or detector that never covered part of the stream. CCA and SCA apply a common idea across two substrates: records and sensing.

CCAPatent pending

Coverage-certified absence

CCA makes the basis of a record-side absence statement machine-verifiable. It records what sources or partitions were actually searched, the state of that coverage, the subject bindings used, relevant time scope, and the rules controlling how strong a conclusion may be.

The supplementary architecture extends the concept into comparative and aggregate intelligence, where the validity of a ranking or portfolio-level conclusion depends on the coverage supporting every subject involved.

Applications

Due diligenceVendor comparisonsPublic-record intelligenceLendingInsuranceCompliance search

SCAPatent pending

Detection-capability-constrained sensing assurance

SCA applies coverage assurance to continuous physical sensing. A non-detection statement can be constrained not only by whether a sensor was operating, but by what the instrumentation could actually have detected under the recorded conditions.

The architecture can account for capability models, validity domains, calibration lineage, operating conditions, acquisition gaps, and other factors that determine what the observation legitimately supports.

Applications

Emissions monitoringIndustrial sensingEnvironmental monitoringSafetySecurityInsurance

The same problem exists in software detectors

Capability envelopes also apply to content, communications, transactions, code, or data streams. Nothing detected can become a statement about documented scope and capability rather than an unsupported blanket assertion.

From one subject to an entire portfolio

The same coverage constraints can scale from a single inquiry to ranked, compared, and aggregated portfolios, so portfolio outputs remain tied to what was truly covered.

One coverage architecture, multiple substrates. The same basic question applies to records, physical sensing, and software detectors: what did the system actually cover, and what can that coverage legitimately establish?

Temporal Evidence & Living Intelligence

Establish what was knowable at a point in time, then preserve what happens when the world changes.

Did the evidence exist before the decision? What did the analysis actually read? Could the conclusion have been reached at that time? If new information arrives, does it invalidate the historical statement or change what should be said now?

DSCPatent pending

Decision-state capsules and first-knowable determination

DSC creates point-in-time evidence capsules that bind claim, source state, and processing boundary.

The method can attest what was actually read inside a controlled boundary and distinguish first-knowable points from later availability, so decision timing can be evaluated against what was truly knowable.

Applications

Audit readinessDecision reviewModel governanceInvestigationsRegulatory responseRisk committees

LILPatent pending

Living-intelligence lifecycle

LIL governs how claims continue after issuance through future triggers, later-event classification, selective update or reissue, and retained logical identity, so the lifecycle of a claim remains explicit rather than overwritten.

Applications

Persistent monitoringPolicy intelligenceWatchlist maintenanceResearch continuityClaims maintenanceOngoing diligence

Can an analysis prove that its rules came before its result?

A bounded process can preserve the sequence of rule state, evidence state, and execution state so the relationship between method and result is demonstrable rather than asserted.

Point-in-time evidence, actual-read attestation, first-knowable analysis, future triggers, and claim-level lifecycle tracking.

Hardware & Service Assurance

Create verifiable records where ephemeral telemetry and delivered service actually occur.

OPTPatent pending

Capture-point predictive inference

OPT supports inference at or near the capture point, with input binding that can be verified after telemetry overwrite or disposal. It can preserve continuity across replacement and failover conditions, including frames and imaging paths, with signing arrangements that maintain verifiable lineage.

Applications

Industrial inspectionFleet and telecom continuityEdge operationsHigh-throughput capture chainsImaging workflowsEvent telemetry

ACRPatent pending

Attested conformance records

ACR records completed intervals, identified service subject, expected evidence, completeness, sequence integrity, substitution handling, and independent verification. It can include substitute classes, security-control slots, schema authority, cross-provider exchange, and remedy classes.

Applications

Service conformanceSLA verificationMulti-provider assuranceSecurity evidence exchangeRegulated operationsIndependent review

Industrial inspection

Attest what was captured, inferred, and preserved at inspection time.

Fleet and telecom continuity

Retain evidence continuity through failover, replacement, and interval transitions.

Security controls

Represent substitute controls and verification states in auditable service records.

Service remedies

Classify remedy paths using attested conformance evidence and declared remedy classes.

Prediction and conformance records tied to evidence generated where hardware operation and service delivery actually occur.

Intelligence Assets & Marketplace Rights

What happens when an insight itself becomes something that can be licensed, restricted, valued, tracked, or transferred?

SavanttPatent pending

Machine-synthesized insight objects

Savantt supports generation, governance, commercial treatment, and controlled distribution of machine-synthesized insight objects, including exclusivity terms, buyer-conditioned rights, valuation records tied to evidentiary state, scarcity attestations, completeness-attested seller track records, contributor attribution, and portable rights records.

Applications

Insight marketplacesResearch monetizationData productsInformation licensingSubscription intelligenceSecondary information markets

Create → Govern → License → Verify → Track → Reprice / Transfer

The design is centered on verifiable rights and evidence rather than any particular valuation, auction, or negotiation algorithm.

Potential market structures

Primary licensing, subscription access, timed exclusivity windows, conditional transfer rights, derivative package rights, and secondary resale channels.

Infrastructure for governing rights, delivery, exclusivity, valuation, track record, and lifecycle around machine-synthesized intelligence.

Where the portfolio can apply

Enterprise AI

Claim governance for enterprise-scale model outputs.

Agentic procurement

Coverage and timing controls across agent-driven sourcing.

Intelligence and diligence

Traceable absence and first-knowable decision support.

Cloud and AI infrastructure

Conformance records for distributed service delivery.

Hardware and industrial systems

Capture-point inference and telemetry continuity.

Environmental and safety sensing

Detection-capability-constrained sensing assurance.

Digital detection

Scope-bound detector statements for data streams.

Intelligence markets

Rights-aware packaging and transfer of insight assets.

The strongest systems can combine more than one kind of proof

P1Evidence supports absence

Coverage and capability boundaries show why a negative statement is supportable.

P2Detectable but missed

Recorded capability and conditions indicate that detection should have been possible.

P3Not recorded

A claim cannot be strengthened when source state or process state was not captured.

P4Insufficient observability

Assurance identifies where visibility limits prevent definitive conclusions.

Designed for environments where trust is contested

For technology companies

Integrate modular assurance capabilities into platforms and products.

For technical teams

Operationalize verifiable claims across data, sensing, and service layers.

For investors and strategic partners

Evaluate transferability, defensibility, and cross-market fit.

Software governance, infrastructure assurance, sensing, and intelligence rights are different markets. The need for verifiable claims increasingly connects them.

LICENSING · STRATEGIC PARTNERSHIP · SELECTIVE ACQUISITION

Explore where the portfolio fits

Salvara is open to discussions with companies, investors, and technical teams regarding licensing, strategic partnership, technology transfer, and selective acquisition opportunities across the portfolio.

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