See how Aethelas is transforming verifiable AI memory across finance, healthcare, AI safety, supply chain, government, and energy — with measurable results.
A global fintech deployed Aethelas to power their transaction monitoring AI with cryptographic proof of decision provenance. Every decision — from fraud detection to loan approval — is now recorded on the Aethelas ledger with a verifiable proof trail, transformating their compliance posture from reactive to proactive.
A global fintech deployed Aethelas to power their transaction monitoring AI with cryptographic proof of decision provenance.
A healthcare AI platform needed to delete patient data on demand with verifiable proof. Aethelas delivered selective unlearning with 100% deletion verification.
An enterprise LLM deployment used Aethelas Verification Fence to catch hallucinations before they reached users — achieving perfect precision.
A multinational logistics company deployed Aethelas to power their AI-driven shipment tracking system with cryptographic proof of every decision and handoff.
A state government deployed Aethelas to power their citizen services portal, ensuring every AI-driven decision was verifiable and auditable by regulators.
An energy provider deployed Aethelas to monitor and verify their smart grid AI decisions, ensuring every load-balancing decision had a cryptographic proof trail.
The client, a global fintech processing over 50 million transactions daily, faced increasing regulatory scrutiny. Their existing AI-based fraud detection system was a "black box" — they could not prove to regulators why a transaction was flagged or why a model decision was made. The DPDP Act (India) and GDPR (Europe) required both explainability and the ability to remove personal data on request.
Aethelas was deployed as a trust layer around their existing AI model. Every transaction decision was recorded on the Aethelas ledger with cryptographic proof of the model state, the input features, and the decision outcome. The Verification Fence (TR-08) was used to ensure every output was grounded in cited memory entries.
Aethelas transformed the client's compliance posture from reactive to proactive. The system now serves as their primary audit trail for AI decisions, and the client has expanded the deployment to three additional business units.
A healthcare AI platform handling sensitive patient data needed to comply with India's DPDP Act and the EU's GDPR. Patient consent could be revoked at any time, requiring immediate and verifiable deletion of all associated data from the system. The platform needed to prove to auditors that deletion had occurred — without trusting any single node.
Aethelas's decentralized storage layer (TR-12) with provable deletion was deployed. Patient data was erasure-coded across 5 nodes (k=3) and encrypted. When a deletion request was received, all fragments were purged and a cryptographic proof was generated.
Aethelas provided the client with the first deployable system that can both prove data is stored and prove data is deleted. The platform is now the standard for patient data management across their network of 200+ hospitals.
A Fortune 500 enterprise deployed a large language model for customer support automation. The LLM generated fluent but occasionally fabricated information — including wrong product details, incorrect pricing, and invented features. The legal team required 100% accuracy for all factual claims made by the AI.
Aethelas Verification Fence (TR-08) was deployed as a guardrail layer between the LLM and the customer-facing interface. Every factual claim had to cite a specific memory entry. The fence checked citations, numeric accuracy, and coverage.
The verification fence enabled the enterprise to deploy their LLM with confidence. The single failure mode (word-level numeric mismatches) was well-understood and accepted as a manageable limitation. The fence is now part of their standard AI deployment pipeline.
A multinational logistics company managing 4.2 million shipments annually faced chronic dispute resolution challenges. Customers frequently contested delivery times, routing decisions, and customs clearance documentation. The existing system had no way to cryptographically prove when and why a decision was made — leading to lengthy and costly disputes.
Aethelas was deployed as the trust layer for their AI-driven shipment tracking system. Every decision — from routing optimization to customs documentation — was recorded on the ledger with cryptographic proof of the model state, input features, and decision outcome. Customers and regulators could independently verify any decision.
Aethelas transformed the client's dispute resolution process. Customers now have independent verification of every decision, reducing friction and building trust. The system is being expanded to cover 10M shipments annually.
A state government needed to modernize their citizen services portal while ensuring compliance with the DPDP Act. The AI-driven system for document verification and service eligibility required complete auditability — every citizen needed to be able to verify how a decision was made, and regulators needed cryptographic proof of every interaction.
Aethelas was deployed as the trust layer for the entire citizen services portal. Every interaction — from document submission to eligibility determination — was recorded on the ledger with cryptographic proof of the model's reasoning. Citizens could independently verify any decision using a simple verification interface.
The government's citizen services portal now sets the standard for transparent AI governance. Citizens can independently verify any decision, and the system has passed every regulatory audit with zero violations. The project has been recognized as a model for AI governance in the public sector.
An energy provider deployed AI for real-time load balancing across their smart grid network. The AI made critical decisions affecting millions of customers, but the utility commission required complete auditability of every decision. The provider needed a system that could prove — with cryptographic certainty — that every load-balancing decision was made correctly.
Aethelas was deployed as the compliance layer for the smart grid AI. Every load-balancing decision was recorded on the ledger with cryptographic proof of the input data, the model's reasoning, and the resulting action. The utility commission was given direct access to verify any decision.
Aethelas enabled the energy provider to deploy their smart grid AI with full regulatory compliance. The utility commission now uses the Aethelas ledger as their primary audit tool, and the provider has expanded the deployment to cover all 12 regions.