XAI : un pipeline d’IA complet.
Une IA en laquelle vous pouvez avoir confiance.
De la conception au déploiement opérationnel.
Le défi que nous relevons
Les entreprises veulent de l’IA — mais dans l’aviation, les télécoms, la défense et d’autres environnements critiques, l’IA en “boîte noire” est inacceptable. Les équipes ont besoin de systèmes auditables, certifiables et explicables dès le premier jour.
Notre solution
Humanitas offre un pipeline d’IA complet, certifiable et explicable qui accompagne vos projets depuis la définition de mission jusqu’au déploiement opérationnel — avec les preuves exigées par les régulateurs et les équipes de gestion des risques.
01
Design Phase
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Mission definition & planning: Start with clear objectives, environment, and constraints.
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Simulation-first approach: Test drones, networks, RF signals, and even cyberattacks through digital twins before field trials.
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Data with integrity: Blend real-world sensor/telecom data with synthetic data generated from advanced simulators, ensuring fairness and coverage.
02
Build & Test Phase
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Model development: Advanced training techniques (transfer learning, reinforcement learning, federated learning) combined with hardware-aware optimization (quantization, pruning, FPGA acceleration).
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Evaluation & verification: Robustness testing against edge cases, noise, and adversarial scenarios.
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Explainability integration: Explainability built-in plus post-hoc interpretability, verified through human-in-the-loop evaluations.
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Certification-ready evidence: Formal assurance cases, safety arguments, and traceability matrices aligned with DO-178C and ISO/IEC standards.
03
Runtime Phase
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Deployment on accelerated hardware: FPGA, SDR, and GPU clusters ensure high-performance and low-latency AI in the field.
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Continuous assurance: Drift detection, retraining triggers, and safe rollback mechanisms ensure long-term trustworthiness.
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Monitoring & orchestration: Real-time dashboards for performance, health, and compliance, with automatic recertification triggers when significant changes occur.
Le pipeline IA complet
01
Define scope & requirements
Translate stakeholder needs into certifiable AI requirements.
02
Performance assessment
Set measurable KPIs, reliability benchmarks, and failure modes.
03
Validation & testing
Validate data, scenarios, and AI models under expected conditions.
04
Explainability & bias checks
Demonstrate fairness, transparency, and coverage of decision paths.
05
Formal verification & assurance
Build structured safety cases using GSN (Goal Structuring Notation).
06
Software quality & configuration
Secure coding, strict version control, and audit logs.
07
Continuous monitoring
Drift detection, retraining, and anomaly tracking in real-world use.
08
Certification package generation
Compile audit-ready reports and evidence for regulators.
Pipeline de certification :
Faire de l’IA une IA de confiance
01
Requirement phase
Define mission goals, predictive maintenance parameters, and planning.
02
Design phase
Data engineering, cleaning, transformation, and feature exploration.
03
Coding phase
Model development, optimization, simulation, and explainability checks.
04
Integration phase
Deployment, orchestration, monitoring, and retraining triggers.
Phases du cycle de vie : de l’idée au déploiement
Assure une traçabilité et une responsabilité complètes, de la première exigence au déploiement final sur le terrain.
01
Aerospace & Defense – Assured Autonomy
Trusted AI for aviation and defense requires certifiable autonomy. XAI ensures drones, aircraft, and mission systems operate with full transparency, compliance, and safety assurance.
02
Telecom – Explainable Connectivity
Telecom providers depend on reliable networks. XAI enables smarter management of 5G, RF, and satellite systems, optimizing spectrum, routing, and uptime with explainable, edge-ready intelligence.
03
Logistics & Supply Chain – Transparent Logistics
From global shipping to last-mile delivery, logistics relies on precision and efficiency. XAI powers transparent, accountable decision-making across fleets, warehouses, and supply chains—improving performance while meeting regulatory standards.
04
Regulated Enterprises – Responsible Enterprise AI
In highly regulated sectors like finance, insurance, and healthcare, AI adoption must be responsible and audit-ready. XAI provides the traceability, explainability, and compliance needed to innovate with confidence.
Applications concrètes
XAI pour un large éventail de secteurs verticaux et de cas d’usage
Pourquoi c’est essentiel
Lorsque l’IA alimente des décisions critiques, la confiance est primordiale. Humanitas AI offre non seulement de la performance, mais aussi de la transparence, de la conformité et une assurance prête pour la certification.
01
Certification-first design
Built to align with DO-178C/DO-330 and modern AI governance (ISO/IEC 42001, NIST AI RMF, IEEE 7001/7003)—not retrofitted later.
02
Explainable by default
Every decision is linked to data, tests, and reports—no black boxes.
03
Proven multi-layer platform
We integrate simulation & digital twins, swarming, and telecom/edge orchestration into one flow for mission-ready operations.
04
Market momentum
Partnerships with aerospace research centers and early deployments in telecom and swarm simulations.