The Aeterno platform
Turn fragmented operational data into decisions you can safely automate—reducing service cost, lifting remote fix rates, and staying audit‑ready across your portfolio.
One unified truth
Reconcile fragmented data across teams and tools into a single, governed view that everyone can trust.
Decisions for every role
Ops, field, commercial, and compliance get tailored viewpoints from the same source of truth—so trade‑offs are clear, not hidden.
Confident automation
Start with human approval; promote to Auto only when jointly agreed quality gates and risk bounds are met.
Audit-ready evidence
Every decision carries provenance, rationale, and supporting evidence with full traceability—ready for regulators, customers and boards.
Enterprise challenges we address
Fragmented truth
Data scattered across teams and tools; no single source for decisions.
Role conflict
What's optimal for one function introduces risk elsewhere—unresolved trade‑offs.
Manual limits
Expert adjudication doesn't scale; backlogs grow faster than headcount.
Audit pressure
Decisions must stand up to regulators, customers, boards—without the evidence.
Change velocity
Products, policies, tariffs evolve faster than your processes can adapt.
Consequence
Delayed decisions, higher costs, rework, weak confidence to automate.
Model Asset Platform Architecture
Kernel + Viewpoints Architecture
A shared core ("kernel") of models, data and policies produces decisions. Role‑specific viewpoints present the same truth tailored for engineers, ops, compliance, commercial teams and end‑customers—so everyone sees the same facts through their own lens.
Assist → Auto Governance
Start with humans approving every decision. Promote to targeted automation only when precision/recall gates are met and jointly agreed—so automation reduces risk instead of introducing it, with full traceability and rollback capability throughout.
Model Assets
Portable digital assets that unify models, data, policy and evidence for real‑world entities. They travel with buildings, equipment and homes—so intelligence sticks with the asset, not a single vendor or system.
Evidence Graph
Every decision carries provenance, rationale and supporting evidence. Approvals and outcomes feed a learning loop to continuously improve accuracy and recommendations—making the system more valuable with every decision.
Enterprise‑Ready Platform
Model‑Grounded Intelligence
Physics and domain models fused with ML for robust, explainable recommendations—not black‑box AI—so experts can trust, inspect and improve the system.
Governed by Design
Start in Assist mode with human approval. Promote to Auto only when quality gates and risk bounds are met, with controls aligned to your existing governance.
Privacy‑Preserving Learning
Per‑client isolation by default with optional aggregated patterns. No raw data egress, full audit trails—so you improve performance without compromising obligations.