Governed cryptographic agility
Changing algorithm is not enough: you must be able to change it again, hot, without downgrading what is already signed, leaving evidence verifiable years later. This is the shared thesis of Moeris, Éter and Nova.
Applied intelligence where mistakes have consequences.
The thesis
Data sovereignty.AI-assisted autonomy.Auditable traceability.
A proprietary portfolio of vertical software platforms, each solving a concrete problem in a regulated sector, all built on the same philosophy and the same technical core. We are not a consultancy integrating third-party product: the code, the cryptography and the models are ours.
One core. Every vertical.
Deployed vertical by vertical, with the regulatory context, governance and traceability demanded by sectors where being wrong costs money or lives.
Platforms
Sixteen published assets with a full profile and their real declared maturity. No screenshots of something that does not exist.
Prepares an organisation for the day today’s cryptography stops protecting its data.
Protects dozens of client companies from a single console, without mixing their data.
Turns bank debt and real-estate portfolios into exploitable investment intelligence.
Publishes new-build real-estate developments automatically, with its own viewer and the client’s brand.
Anticipates blackouts and grid instability before they happen.
An ERP that serves many companies from the same codebase and adds optional intelligence on top.
Automates urban-planning due diligence with regional AI experts and writes the report.
A complete cybersecurity platform aligned with NIST CSF 2.0, including the quantum dimension.
Replaces several paid GIS tools with one professional platform for land technicians.
Verifies that a physical asset exists and is in the declared condition, then certifies it tamper-proof.
Drafts and defends expert reports with AI grounded in regulation and case law.
Auditably certifies how much CO₂ a biochar project removes, ready to sell the credit.
A post-quantum layer-1 blockchain with a virtual machine, fifteen sector domains and a native AI plane.
A sovereign AI companion with a verifiable solving core: it distinguishes in code what it believes, what it verified and what is proven optimal.
Brings a company’s financial position and the market context that explains it into a single place.
Crosses the commercial trail with the actual sale and turns two loose lists into a customer profile.
Figures
6
Verticals with a proprietary product
Asset catalogue, Aug 2026
16
Published software assets
Eight-point profile per asset
17+1
Regional-regulation AI experts in Nomade
Nomade · planning due diligence
15
Sector domains implemented in Nova
Nova · post-quantum L1
10-50×
Faster than conventional grid simulation
Taranis · proprietary power-flow solver
0
Commercial dependencies in the crypto core and the power solver
Éter · Taranis
Every figure is verifiable in the corresponding asset profile. We publish nothing that could compromise a client’s confidentiality.
R&D and advanced AI research
Seven active lines. None is a decorative lab: each feeds at least one asset in the portfolio, and none is communicated before there is an experiment that could disprove it.
Changing algorithm is not enough: you must be able to change it again, hot, without downgrading what is already signed, leaving evidence verifiable years later. This is the shared thesis of Moeris, Éter and Nova.
Models trained in-house on versioned, signed data, runnable locally with no data egress. It answers the regulatory question almost nobody can: exactly what was this model trained on.
Separating a cortex that speculates from a core that only certifies the provable. Active research lives in EVA: competing heterogeneous planes, a monotone blackboard and independent verification before any result is emitted.
A power-flow engine with no commercial dependencies, ten to fifty times faster than the conventional tool, turning grid operation from reactive into anticipatory.
Experts specialised by autonomous region and jurisdiction, able to support a due diligence report or an expert opinion with the specific regulation and case law that applies.
Given the genetic and observed-trait profile of a case, propose which other conditions resemble it and why, with the source cited at every step and without the data leaving the machine it runs on. It does not diagnose and does not replace a clinician: it orders hypotheses so a specialist can rule them out sooner. It is at pilot stage, with a single condition covered end to end.
Quantum-ready operators with a mandatory classical fallback from day one: the reference classical algorithm always runs, and the availability of a quantum backend is never presented as demonstrated advantage.
Shared layer
Components that are not sold on their own but multiply the value of everything else, and explain why sixteen platforms are not sixteen loose projects.
A versioned cryptographic library consumed by Moeris, Nova and future developments: one improvement propagates to every product at once, with no duplicated sensitive code.
Turns data into versioned, signed datasets, trains models and ships them as a portable package with full traceability of which data produced which model. It is what lets us say the AI is ours.
Detects a real, unattended flaw: keys that look correct but are guessable because the entropy source was broken. Born from a documented theft of 60 million euros in 41 minutes.
Principles
Client data does not leave its perimeter unless it must. Models run where the data is, not the other way round.
Systems decide and act, but always under human supervision, with an emergency stop and no ability to widen their own permissions.
Every relevant decision records who requested it, why and what changed. If it cannot be audited, it is not deployed.
When something breaks, the system closes rather than letting traffic through. Availability is never bought at the cost of security.
Every asset publishes its real state: solid base, functional, or specification. We prefer a correct expectation to a brilliant demo.
Cryptography, models, automation and interconnection are shared. No vertical is rebuilt from scratch.
Next step
I have a concrete problem in a regulated sector and want to know whether a platform solves it today.
Describe a caseI want the full asset catalogue, the intellectual property status and the roadmap.
Request the dossierCryptography, verifiable AI, GIS, solvers. If the hard problem interests you, there is room.
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