IN THE FIELD GUIDE
aletheionagi
aletheionagi.com
AletheionAGI is an independent Brazilian AI research and engineering organization focused on investigating state, memory, causality, grounding, and intent to build verifiable AI systems. Their products are research-based, modular, and designed to be inspected, tested, and challenged independently.
THE PRODUCT, BEYOND THE PITCH
Automatically researched · Not editorially reviewed · Sources checked Sep 13, 2026
A good fit for
Not confirmed yet.
Know the limitations
- Systems expose uncertainty when evidence is insufficient instead of manufacturing certainty.
What you can do
- Building AI systems that preserve useful history without repeatedly exposing the entire context.
- Improving temporal continuity in AI mechanisms and understanding conditions under which they fail.
Features
- Persistent memory, authorized retrieval, and fail-closed grounding for production AI systems.
- Transforms raw user language into validated intent state with facts, constraints, preferences, unresolved dimensions and provenance.
- Delivers governed experience embedded directly in websites and applications using intent, evidence and policy.
- Evidence-driven B2B prospecting that discovers companies, creates individual outreach, follows conversations and learns from real outcomes.
Integrations
Not confirmed yet.
Platforms & data export
Not confirmed yet.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Claims identify their protocol, denominator, version and limitation before narrative is formed.
- A model may propose; authenticated policy and canonical state decide before autonomy is granted.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
Filter alternatives →Candidates based on category and primary feature. Check feature and pricing differences before switching.
Plan a switch from aletheionagi →What changed
Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.
Updated: best for, limitations, walkthrough
See recorded changes
bestForBefore: ["Organizations seeking AI infrastructure with explicit evidence, authority controls, and abstention mechanisms to prevent unsupported claims."]
After: []
limitationsBefore: []
After: ["Systems expose uncertainty when evidence is insufficient instead of manufacturing certainty."]
walkthroughBefore: ["IntentParse structures intent, GQueries grounds evidence, Widport delivers the authorized experience, and Tune2all applies evidence to GTM learning, with each credential and call remaining explicit.","Research-led approach involves building experiments to learn which AI mechanisms work, which fail, and where their limits begin."]
After: ["Claims identify their protocol, denominator, version and limitation before narrative is formed.","A model may propose; authenticated policy and canonical state decide before autonomy is granted."]