Andes builds software that shows its work.
Important work rarely arrives clean. AI-system notes, meeting transcripts and report claims describe different parts of the same decision. Check, Kernal and Magellan each examine the material they were built for.
Explore the productsOne decision.
Three kinds of evidence.
AI SYSTEM NOTESupplier-scoring assistant / owner not recorded
MEETING / 10:42“Mira owns Aurora. Hold launch for model review.”
REPORT / P. 47“Aurora was rolled out responsibly across the group.”
USESupplier scoring
ROLEDeployer
“Mira owns Aurora. Hold launch for model review.”
MiraownsPROJECT
AuroraDECISION
Hold launchuntilCOMMITMENT
Model review
“Aurora was rolled out responsibly across the group.”
The Andes product house
Choose the part of the work that needs scrutiny.
The products share a record discipline, but they do different jobs for different people. Each door below shows the material it examines and the decision it supports.
Find the obligations before they find the budget.
WhoCompliance leaders managing decentralised AI use.
ProblemNew systems create possible obligations before ownership and cost are visible.
OutcomeA cited first pass of candidate requirements and unresolved questions for human review.
Start your free check ↗Turn your ChatGPT conversations into a structured record you own.
WhoPeople whose projects and decisions live across AI conversations.
ProblemUseful context is buried in chat histories and cannot travel with the work.
OutcomeA proposed graph of people, projects, decisions and commitments that you review and keep.
Join the connector preview ↗Spot the weak claim before they do.
WhoCFO and investor relations teams preparing company reports.
ProblemA polished claim can omit the context its toughest reader will ask for.
OutcomeA page-cited challenge to the wording, the missing context and the likely reader question.
See a cited example ↗How Andes works
The record is part of the product.
01Andes builds knowledge-graph software in Norway.
02You can inspect the source material behind a proposed result.
03A person reviews the output before accepting it as a record.
04You can export the record instead of leaving it trapped in one interface.