AletheionAGI — Let your AI remember. Never let it guess.

Grounded memory for production AITurn AI answers intocustomer trust.Give your existing AI a memory it can defend: persistent context, authorized evidence and a fail-closed boundary before unsupported claims reach customers.R$ 99 once · 1,000 queries · no subscription · reader BYOKgrounding.query01query.accepted12 ms02memory.retrieved8 candidates03policy.authorized3 evidence04claims.validated6 / 6DELIVERprovenance_complete: true Evidence-bound Namespace-isolated Reader-independent Fail-closed delivery18/18deterministic controls passedFrozen failure-mode manifest45/45unsafe deliveries containedReader replay · zero escapes2Kevidence-token budgetFrozen evaluation protocol~311 mswarm query meanMeasured hosted profileFinal security suiteThe reader can fail.The boundary cannot.Reader success varies by task. Bridge containment is measured separately. Safety enforcement Answer quality Feedback transferBridge enforcementFailure modes passed18 / 18100%Unsafe output contained45 / 45100%Reader outcomesMatrix safe delivery26 / 8630.2%Transfer baseline8 / 2583.1%Transfer after feedback56 / 25821.7%Language modes safe26 / 4557.8%Feedback routingSemantic activation175 / 25867.8%Rank 1 after feedback258 / 258100%Frozen evaluation · 2K evidence-token budget · reader outcomes are integrator-dependentCompleted retrieval resultThe right evidence.Not the whole history.On 979 frozen support questions, ASM-CM + Bridge 8.1 delivered 93.6% Recall@5 and a 66.5% diagnostic answer score while sending about 1.09K input tokens per question to the reader.Read the measured results →Frozen support benchmarkMultiWOZReaderQwen3 14B · 979 questionsSystemRecall@5Diagnostic answer scoreReader input / questionASM-CM + Bridge93.6%66.5%1.09KVector RAG70%49.7%2.04KBM2575.9%56.8%2.20KProtocol-scoped results. Quality depends on workload, reader and retrieval profile; the Bridge is measured separately as the delivery boundary.What the system protects22 failure classes.One threat model.The matrix organizes the documented risks across feedback, retrieval, authorization, delivery and lifecycle. It is a threat taxonomy—not a fabricated 22-test denominator.Measured evidence: 18/18 deterministic controls passed, and 45/45 unsafe deliveries were contained across nine bounded language scenarios. Reader quality remains a separate metric.01 Protocol mappedFeedback integrityCorrections improve retrieval without silently becoming source truth.Incorrect feedback and revocationCoveredMalicious feedbackCoveredStale corrections and temporal supersessionCoveredAccumulated and contradictory feedbackCoveredFeedback-ledger scale and false positivesCoveredSelf-referential validation loopsCovered02 Protocol mappedSemantic retrievalThe system distinguishes retrieval failures from grounding failures.False semantic activationCoveredLegitimate ambiguityCoveredCross-language feedback transferCoveredEllipsis and indirect referencesCoveredMissing correct retrieval candidateCoveredTransfer to previously unseen paraphrasesCoveredRepeated failures across retrievers and context budgetsCovered03 Protocol mappedGrounded deliveryRetrieved evidence must actually support the claims being delivered.Correct evidence followed by an incorrect answerCoveredValid citations covering unsupported claimsCoveredPartially grounded answersCoveredConflicting authorized evidenceCoveredGrounded-delivery improvement after validated feedbackCovered04 Protocol mappedIsolation and lifecycleAuthority, deletion and operational behavior remain explicit boundaries.Cross-namespace leakageCoveredMemory deletion, feedback invalidation and snapshot reconstructionCoveredPrompt injection stored inside memoryCoveredToken usage, latency, API cost and isolation behaviorCoveredThe grounding layerRetrieval is useful.Evidence is defensible.AletheionAGI turns memory retrieval into a controlled delivery path. Your reader may change. The evidence contract does not.01WriteCanonical events stay under your authority.02RetrieveASM-CM, BM25 and vector retrieval work as one route.03AuthorizeNamespace and labels constrain every candidate.04GroundUnsupported output is blocked before delivery.A clean boundaryBring any reader.Keep one source of truth.The reader is an integration choice. AletheionAGI owns the harder boundary: canonical memory, retrieval provenance, policy enforcement and grounding.Discuss the architecture →YOUR STACKREADER↓ALETHEIONAGI GROUNDING BRIDGEAuthorized evidenceClaim validationFeedback ledger↓CANONICAL MEMORYYOUR DATABuilt for buyer-facing systemsUseful memory.Controlled consequences.Use AletheionAGI when remembered context can improve the experience—and an invented, stale or cross-account claim can damage it.01Customer supportKeep account history useful without letting stale or unauthorized memory shape the answer.Fewer unsupported answers02Commerce agentsRetrieve preferences and prior decisions while preserving tenant, namespace and evidence boundaries.Safer personalization03Internal copilotsGive teams durable organizational context with citations and explicit abstention when evidence is missing.Auditable assistanceA small, measurable first stepProve it in your stack for R$ 99.Run a bounded proof of concept before choosing a production plan. Bring your reader key; we provide the grounded-memory boundary.1,000 grounding queries30 daysOne namespace · concurrency 1No renewal or overageTest PlanR$ 99one-timeView the plan →Checkout activates after commercial review.Built for consequencesAI infrastructure should know when to stop.01Minimum disclosureOnly evidence needed for the current decision crosses the boundary.02Explicit authorityModels suggest. Policies, namespaces and canonical state decide.03Reversible feedbackCorrections improve ranking without contaminating source memory.Before you startClear boundaries.No hidden reader bill.Do I need to replace my current reader?No. Your reader remains BYOK. AletheionAGI sits before delivery and controls memory, retrieval, authorized evidence and grounding.What counts as one grounding query?One completed grounding evaluation consumes one credit, including a safe rejection or abstention. An internal platform failure returns the reserved credit.Does the Test Plan renew automatically?No. It is a one-time proof of concept with 1,000 queries and 30-day validity. There is no automatic renewal or overage.Is checkout available now?Yes. The one-time Test Plan uses secure Stripe Checkout. Production plans still require a commercial quote and final legal and tax review.Start small. Measure everything.Give your AI a memoryit can stand behind.