Consulting & delivery
Data & AI Transformation
Use-case framing, technology roadmaps, architecture and delivery: connecting business challenges with technical choices and taking solutions from prototype to real-world use.
Paradigm AI
Consulting, technical expertise and delivery capability.
At the intersection of Data, artificial intelligence and software engineering, Paradigm AI supports organizations from use-case definition through to production deployment.
Discover Paradigm AI →01Business value before hype
02Architecture proportionate to the need
03Reliability and control in production
04Knowledge transfer to teams
Our approach
Build what matters. Industrialize it properly.
A focused approach driven by decision-making and execution, avoiding prototypes that never make it into production.
01
Frame
Qualify the need, the data, the constraints and the success criteria.
02
Design
Select a proportionate architecture and build the components that matter.
03
Industrialize
Deploy, observe, evaluate, secure and integrate into existing processes.
04
Transfer
Document key decisions and enable teams to operate independently over time.
Expertise
From strategy to production.
We operate where data, artificial intelligence and engineering must deliver concrete, reliable and sustainable outcomes.
Reliability & control
Data Governance
Quality, ownership, reference data, security, traceability and compliance to make data trustworthy across teams, applications and AI systems.
Technical foundation
Data Engineering & Platforms
Pipelines, integration, distributed processing, storage and data serving: robust, maintainable architectures for analytics and AI applications.
LLM · RAG · Agents
Generative AI & Agentic Systems
RAG, augmented search, specialized agents, multi-agent orchestration and enterprise integration, with controllable and observable architectures designed for production.
Models & decisions
Machine Learning & Modeling
Forecasting, classification, anomaly detection, scoring and optimization, using methods selected for the problem, the data and operational constraints.
Production
Industrialization & MLOps
Containerization, deployment, CI/CD, observability, evaluation and monitoring of models and agents for sustainable Data & AI operations.
Decision support
BI & Visualization
Dashboards, metrics and analytical applications designed to make information immediately actionable, clear and reliable.
Knowledge transfer
Advisory & Training
Workshops and capability building across Data, Machine Learning, generative AI and agentic systems, tailored to each team's level and objectives.
Technology ecosystem
Technologies selected for the context.
We prioritize integration with the client's ecosystem, maintainability and real operational capability.
PythonData & backend
SQLData
PyTorchMachine Learning
scikit-learnModeling
LangChainLLM applications
LangGraphAgents & orchestration
DatabricksData & AI platform
SparkDistributed processing
KubernetesOrchestration
DockerContainerization
AWS / Azure / GCPCloud & infrastructure
MongoDBApplication data
Contact
Let's discuss your challenges.
A Data, AI or engineering project to frame, build or industrialize?