Grounding & memory infrastructure
GQueries
Persistent memory, authorized retrieval and fail-closed grounding for production AI systems.
Explore GQueries ↗Independent AI research & products
AletheionAGI investigates state, memory, causality, grounding and intent—and turns bounded findings into infrastructure that can be inspected, tested and challenged.
The organization
AletheionAGI is an independent Brazilian AI research and engineering organization. We build experiments to learn which mechanisms work, which fail and where their limits begin.
Our products share research foundations, but keep credentials, billing, data authority and operational responsibility separate. Customers may adopt either product without adopting the other.
Products
Grounding & memory infrastructure
Persistent memory, authorized retrieval and fail-closed grounding for production AI systems.
Explore GQueries ↗Structured intent infrastructure
Raw user language becomes validated intent state with facts, constraints, preferences, unresolved dimensions and provenance.
Explore IntentParse ↗Embedded experience infrastructure
Intent, evidence and policy become a governed experience embedded directly in websites and applications.
Explore Widport ↗Open research project
A staged effort to build, train and evaluate a Brazilian Aletheion State Model with approximately 1 billion parameters.
Support ASM 1B ↗Research agenda
Research lines remain hypotheses until a frozen evaluation supports a narrower claim.
How can compact persistent state preserve useful history without repeatedly exposing the entire context?
Which mechanisms improve temporal continuity, and under which measured conditions do they fail?
How can retrieval, authorization and delivery controls prevent unsupported or cross-boundary claims?
How can systems distinguish explicit facts, bounded inference and unresolved intent before acting?
Method
Claims identify their protocol, denominator, version and limitation.
A model may propose; authenticated policy and canonical state decide.
Insufficient evidence should expose uncertainty instead of manufacturing certainty.
Work with us
For research collaboration, product partnerships, press or institutional matters, contact the organization directly.