אנו מתקינים בסיס אופקי של ממשל, הוכחה ואמינות תעשייתית, שעליו טקסי העבודה העסקיים שלכם נעשים לשחזירים, הפיכים ונצברים — לא PoC ולא copilot, אלא תשתית החלטות שניתן לבצע בה ביקורת.
Three pillars underpin the AI Platform: governance, proof, reliability.
None works without the other two. Together they produce algorithmic capital — an asset on the organisation’s balance sheet.
PILLAR 01 · governance
Horizontal in service of the vertical.
The Core (Cockpit, FinOps, security, reversibility) spans every Vertical Suite. Enter through a critical business ritual. Scale on a shared foundation. The marginal cost of a new Ritual decreases with every deployment. This is what makes AI budgetable and industrialisable.
PILLAR 02 · proof
Audit and transparency by design.
Every execution generates its own traceability. Run Receipt, Evidence Panel, Audit Pack — three proof objects generated without manual reconstruction. Evidence-native, not evidence bolted on afterwards.
PILLAR 03 · reliability
Business rituals and industrial reliability.
HITL Draft → Reviewed → Approved: three roles, three signatures, a timestamp at each step. The human expert remains signatory — each decision enriches the AI Knowledge Vault and feeds the platform’s virtuous circle.
Horizontal in service of the vertical.
PILLAR 01 · governance
The Core (Cockpit, FinOps, security, reversibility) spans every Vertical Suite. Enter through a critical business ritual. Scale on a shared foundation. The marginal cost of a new Ritual decreases with every deployment. This is what makes AI budgetable and industrialisable.
Audit and transparency by design.
PILLAR 02 · proof
Every execution generates its own traceability. Run Receipt, Evidence Panel, Audit Pack — three proof objects generated without manual reconstruction. Evidence-native, not evidence bolted on afterwards.
Business rituals and industrial reliability.
PILLAR 03 · reliability
HITL Draft → Reviewed → Approved: three roles, three signatures, a timestamp at each step. The human expert remains signatory — each decision enriches the AI Knowledge Vault and feeds the platform’s virtuous circle.
Three tool families, one infrastructure
Between “AI interns” and data war rooms, the infrastructure was missing.
Two dominant postures: tactical experimentation (POC copilots, isolated agents) and heavy mobilisation (data war rooms, unmanaged proprietary models). Neither delivers what regulators, auditors, and executive committees now demand: an audited, reversible, compounding decision infrastructure.
Critère
Stagiaires IA
War-rooms data
Nexa Forward
Regulatory audit
Nonexistent
Reconstructed after the fact
Native Audit Pack < 5 min
Engine reversibility
Vendor lock-in
Full rebuild on every switch
Model-agnostic by design
Compounding
No institutional memory
Volatile tribal knowledge
Tenant-isolated AI Knowledge Vault
Cost per Run
Opaque, priced per seat
Heavy, project by project
Measured and capped per Ritual
AI Act compliance
Not mappable
Recurring manual effort
Arts. 12/14/15/17/26 mapped
Regulatory audit
Nexa : Native Audit Pack < 5 min
Stagiaires IA : Nonexistent. War-rooms data : Reconstructed after the fact.
Engine reversibility
Nexa : Model-agnostic by design
Stagiaires IA : Vendor lock-in. War-rooms data : Full rebuild on every switch.
Compounding
Nexa : Tenant-isolated AI Knowledge Vault
Stagiaires IA : No institutional memory. War-rooms data : Volatile tribal knowledge.
Cost per Run
Nexa : Measured and capped per Ritual
Stagiaires IA : Opaque, priced per seat. War-rooms data : Heavy, project by project.
AI Act compliance
Nexa : Arts. 12/14/15/17/26 mapped
Stagiaires IA : Not mappable. War-rooms data : Recurring manual effort.
Quatre couches Nexa. Plusieurs Vertical Suites. Un seul système.
Nexa Forward s'installe comme une couche de gouvernance horizontale, au-dessus de votre SI existant. Ces quatre couches traversent tous vos Rituels métiers : chaque Vertical Suite hérite, par construction, du Cockpit, de l'Evidence-native, du HITL et du AI Knowledge Vault.
Three proof objects, three distinct roles.
At Nexa, proof is not a compliance layer added after production. It is part of the product. Every execution generates its own traceability — without reconstructive manual work.
Technical receipt
Run Receipt
“With what, how, and under what conditions was this output produced?”
Technical receipt attached to every run. Full memory: sources, transformations, model versions, prompts, parameters, identities, timestamps. This makes the run reproducible and replayable.
Business interface
Evidence Panel
“Why is this output sufficiently substantiated to be used?”
Native consultation surface in the business workflow. Surfaces cited sources, lineage, controls, statuses. Use AI on sensitive deliverables without a black box.
Audit bundle
Audit Pack
“Why is this output justified, acceptable, and compliant?”
Consolidated exportable dossier for internal review, audit, or regulatory control. Answer an audit in under 5 minutes — not several weeks.
PILLAR 03 · Human In The Loop
The human expert remains signatory. Their decision compounds algorithmic capital.
01Draft
The operator produces a draft assisted by the AI Platform.
02Reviewed
The reviewer checks the Evidence Panel and resolves weak points.
03Approved
The approver signs with timestamping. The run enters the Audit Pack.
The competitive moat
Two moats that reinforce each other. A virtuous circle with increasing returns.
The more the organisation uses Nexa, the more auditable proof and validated patterns it accumulates. That becomes infrastructure no competitor can reproduce — because it cannot be bought; it is built in use.
Moat 01
Evidence-native DNA: the moat of proof.
The more Nexa is used, the more Run Receipts, Audit Packs, and Replayable Runs accumulate. That proof history becomes a compliance stack no migration can reproduce. Leaving Nexa is not just rebuilding — it is giving up the historical proof dossier.
Moat 02
The AI Knowledge Vault: the moat of knowledge.
Every ritual enriches the Vault with tuned prompts, validated patterns, hardened configurations. Strictly tenant-isolated: one customer’s patterns are never visible to another.
For CTO, Architect, Head of Platform
Core anatomy — 8 services, open standards.
The Nexa Forward Core comprises eight services collaborating via REST APIs and events. Each is containerised, observable, deployable as SaaS, Private Cloud, or on-premise.
The Nexa Core is designed for your governance, sovereignty, and compliance constraints. All three models share the same proof objects, APIs, and Cockpit.
Models
Model 01 · SaaS
SaaS multi-tenant
Nexa hosting on sovereign European cloud. Fast onboarding, economies of scale, continuous updates. Strict logical isolation.
Full installation on customer infrastructure. No data egress, no external calls without explicit validation. LLMs hosted locally.
On-prem Kubernetes · Helm charts provided
LLMs hosted locally
No outbound telemetry by default
Reference: Bpifrance — internal AI backbone
For CISO, DPO, Risk Officer
Security and compliance — by design, not by certificate alone.
The Nexa Core embeds security, compliance, and audit as structural properties — not layers added downstream. Detailed reports available under NDA for qualified buyers.
Choix client. Aucune sortie hors zone sans accord.
For Head of Platform, SRE, FinOps Lead
Performance and FinOps — every decision has a measurable cost.
Cost per Run and observability are not optional modules. They are the condition for industrialisation. No measured cost, no cap. No cap, no scale.
FinOps detail
FinOps · Cost per Run
Visibilité totale du coût d'une décision IA.
Chaque run remonte son coût marginal en temps réel — appel LLM, calcul, stockage Evidence, export. Pas d'agrégat opaque, pas de facture surprise en fin de mois.
Cost per Run détaillé par modèle et par tenant
Alertes seuils configurables par run / jour / mois
Budgets par Vertical Suite, soft-cap et hard-cap
Routage économique automatique selon profil de criticité
Observabilité & SLO
Dashboards opérationnels prêts à l'emploi.
Stack OpenTelemetry standard, exportable vers votre outillage existant. Aucune dépendance propriétaire. Vous restez maître de votre monitoring.
SIEM-ready (export CEF / LEEF) pour Splunk, QRadar, Sentinel
SLO préconfigurés par Vertical Suite (latence, taux d'erreur, throughput)
Mode dégradé automatique sur saturation ou indisponibilité LLM
Target p95 latency < 4 seconds per run. Observed availability 99.7% vs contractual SLA 99.5%. Audit Pack generated in 4 minutes p50, 12 minutes p99.
For CTO, Lead MLOps, AI sponsor
Model-agnostic reversibility — intelligence changes, control stays.
Nexa separates intelligence (the engine) from control (the Core). LLMs can change every six months: your proof policies, workflows, and algorithmic capital remain yours.
Diagram and real switches
The Core depends on no single engine. Every engine is replaceable without breaking the audit chain.
Stable layer (Core)
What must stay under control.
Data, lineage, policies, guardrails, HITL workflows, Audit Packs, AI Knowledge Vault. Built to last — whatever the cognitive layer of the moment.
Interchangeable layer (engines)
What must be able to change without breaking.
LLMs, prompts, agents, cloud vendors. Model-agnostic: swap an engine without rebuilding the governance chain.
Operational reversibility · switch log
Three real production switches documented via the Model Gateway. Zero incidents, zero loss of algorithmic capital, Audit Pack updated automatically.
Date
Operation
Duration
Audit Pack regenerated
12 mars 2026
GPT-4o → Claude 3.5 Sonnet · Rituel risque crédit
4 min
Oui — automatique
28 janvier 2026
Mistral Large → Llama 3.1 70B · Rituel pricing
6 min
Oui — automatique
15 novembre 2025
Ajout fallback Mistral Small en mode dégradé
12 min
Sans objet
Adoption
In production with 8 major enterprises — including 2 internal platforms.
Two adoption paths: Nexa as organisation-wide AI industrialisation backbone, or a targeted Ritual on a differentiating use case. Both converge on the same platform.
Proof through usage. One public institution, one regulated insurer. Six major enterprises in production on targeted rituals.
Tier 1 — When Nexa becomes the AI infrastructure for the whole organisation
On-premise · public institution · internal AI backbone
Bpifrance
Nexa Forward is Bpifrance’s internal standardisation backbone for AI. Deployed on-premise on sovereign infrastructure. 8+ business rituals in production: risk, marketing, compliance, documents.
Deployed on Private Cloud for actuarial comment generation. ACPR audit response in under 5 minutes — instead of 2 weeks.
HITL actuarial comment generation
Industrialised insurance branch benchmark
Documented AI Act art. 12/14/17 mapping
Tier 2 — Six major enterprises in production on targeted business rituals
Cosmétique
L'Oréal
Industrialisation des claims marketing avec contrôle réglementaire intégré.
Parfumerie
Givaudan
Pattern matching et capitalisation de formulations sur AI Knowledge Vault.
Distribution
Carrefour
Assistance à la décision de pricing avec Audit Pack pour les achats.
Énergie
EDF
Recherche structurée dans la documentation technique avec lineage complet.
B2B
Manutan
Enrichissement de catalogue 600 000 références — Cost per Run mesuré.
Agroalimentaire
Nestlé
Vérification de conformité réglementaire produit avec Audit Pack natif.
30 minutes to map your business rituals and their algorithmic capital.
No standard demo. No generic pitch. A scoping session focused on your critical decisions, your regulator’s constraints, and a realistic path to a first Audit Pack in production.
No standard demo. A scoping session focused on your critical decisions and the path to a first Audit Pack in production.