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At the crossroads of consulting and technology, Sia AI develops advanced data science solutions born from years of R&D and client engagements. These industrial tools address recurring business challenges in banking, insurance, energy, government and retail.  Each solution originates from our consultants' field expertise, then is industrialized by our data scientists and engineers for large-scale deployment.

Our 4 pillars of expertise

Define the organization's data and AI roadmap, establish robust governance frameworks, and optimize management systems to ensure quality, compliance and value creation from data.

  • Data / AI / GenAI roadmap
  • Data governance, data dictionary and MDM
  • Organization, transformation and operating model
  • Data acculturation and training

Design and deploy machine learning, deep learning and generative AI models tailored to business challenges: forecasting, scoring, NLP, computer vision, operations research.

  • Data marketing and scoring
  • Operations research and time series
  • NLP / GenAI / Computer vision models
  • Deep learning and machine learning models

Transform raw data into actionable insights through BI tools, automated reporting and interactive visualizations to inform decision-making.

  • Data factory and BI migration
  • Dashboards and BI strategy
  • Data automation
  • BI training and support

Build the infrastructure and processes needed to industrialize AI at scale: CI/CD pipelines, data engineering, MLOps, GenAI architecture and responsible AI.

  • Platform engineering: CI/CD pipelines, DevOps, IaC
  • Data engineering: ETL/ELT, Lake House
  • MLOps, LLMOps, Ethical AI
  • GenAI architecture: RAG, Prompt Engineering, Fine-tuning
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Our Agent Store

Launched in September 2025, Sia's Agent Store brings together over 1000 AI agents that can be browsed and deployed directly. Built on a 'learn-by-design' approach, it enables organizations to discover, test and rapidly deploy production-ready agentic use cases across all sectors — finance, energy, government, healthcare, retail — and all business functions.

Our R&D Labs

Optimization, routing, solvers, geomatics and quantum computing to drive operational performance.

Forecasting, anomaly detection, clustering, pattern recognition, climate data and profiling.

Scoring, sales forecasting, geomarketing, customer knowledge and lifecycle value modeling.

Descriptive statistical analysis, data storytelling, Excel automation and PowerBI dashboards.

RAG, AI agent orchestration and generative AI application development.

Object detection, satellite imagery, streaming, Edge AI and image segmentation.

Topic detection, sentiment analysis, LLMs, named entity recognition and text summarization.

Transcription, speech generation, real-time VoiceBot, call summarization and audio classification.

Human-in-the-loop, privacy, transparency, fairness, robustness and environmental impact.

Climate and risk modeling, climate risk assessment, weather and climate data.

Knowledge graphs, graph theory, GraphRAG and decision graphs.

DevOps, data engineering, software engineering, Cloud skills, technology watch and benchmarking.

Our Tech accelerators

We partner with global technology leaders while maintaining an agnostic approach, to deliver the best AI solutions to our clients, tailored to their constraints and existing ecosystem.

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