Failure modes passed18 / 18
100%
Unsafe output contained45 / 45
100%
Grounded memory for production AI
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 BYOK
grounding.query
01query.accepted12 ms
02memory.retrieved8 candidates
03policy.authorized3 evidence
04claims.validated6 / 6
DELIVERprovenance_complete: true
Evidence-bound Namespace-isolated Reader-independent Fail-closed delivery
18/18deterministic controls passedFrozen failure-mode manifest
45/45unsafe deliveries containedReader replay · zero escapes
2Kevidence-token budgetFrozen evaluation protocol
~311 mswarm query meanMeasured hosted profile
Final security suite
Reader success varies by task. Bridge containment is measured separately.
Safety enforcement Answer quality Feedback transfer
Failure modes passed18 / 18
100%
Unsafe output contained45 / 45
100%
Matrix safe delivery26 / 86
30.2%
Transfer baseline8 / 258
3.1%
Transfer after feedback56 / 258
21.7%
Language modes safe26 / 45
57.8%
Semantic activation175 / 258
67.8%
Rank 1 after feedback258 / 258
100%
Frozen evaluation · 2K evidence-token budget · reader outcomes are integrator-dependent
Completed retrieval result
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.
Frozen support benchmarkMultiWOZ
ReaderQwen3 14B · 979 questions
System
Recall@5
Diagnostic answer score
Reader input / question
ASM-CM + Bridge
93.6%
66.5%
1.09K
Vector RAG
70%
49.7%
2.04K
BM25
75.9%
56.8%
2.20K
What the system protects
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.
Corrections improve retrieval without silently becoming source truth.
The system distinguishes retrieval failures from grounding failures.
Retrieved evidence must actually support the claims being delivered.
Authority, deletion and operational behavior remain explicit boundaries.
The grounding layer
AletheionAGI turns memory retrieval into a controlled delivery path. Your reader may change. The evidence contract does not.
Canonical events stay under your authority.
ASM-CM, BM25 and vector retrieval work as one route.
Namespace and labels constrain every candidate.
Unsupported output is blocked before delivery.
A clean boundary
The reader is an integration choice. AletheionAGI owns the harder boundary: canonical memory, retrieval provenance, policy enforcement and grounding.
YOUR STACKREADER
↓
ALETHEIONAGI GROUNDING BRIDGE
↓
CANONICAL MEMORYYOUR DATA
Built for buyer-facing systems
Use AletheionAGI when remembered context can improve the experience—and an invented, stale or cross-account claim can damage it.
Keep account history useful without letting stale or unauthorized memory shape the answer.
Fewer unsupported answersRetrieve preferences and prior decisions while preserving tenant, namespace and evidence boundaries.
Safer personalizationGive teams durable organizational context with citations and explicit abstention when evidence is missing.
Auditable assistanceA small, measurable first step
Run a bounded proof of concept before choosing a production plan. Bring your reader key; we provide the grounded-memory boundary.
Test PlanR$ 99one-timeView the plan →
Checkout activates after commercial review.
Built for consequences
Only evidence needed for the current decision crosses the boundary.
Models suggest. Policies, namespaces and canonical state decide.
Corrections improve ranking without contaminating source memory.
Before you start
No. Your reader remains BYOK. AletheionAGI sits before delivery and controls memory, retrieval, authorized evidence and grounding.
One completed grounding evaluation consumes one credit, including a safe rejection or abstention. An internal platform failure returns the reserved credit.
No. It is a one-time proof of concept with 1,000 queries and 30-day validity. There is no automatic renewal or overage.
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.