Data & AI
Data and AI are at the core of business transformations, enabling organizations to unlock valuable insights from vast amounts of data, driving informed decision-making and strategic initiatives. By harnessing the power of AI, companies can enhance operational efficiency, optimize processes, and gain a competitive edge in today's dynamic marketplace. Moreover, leveraging data and AI facilitates innovation, fosters customer-centricity, and enables organizations to adapt swiftly to changing market demands, ultimately leading to sustained growth and success.
Our mission
Our team specializes in providing comprehensive data transformation and AI consulting services, covering everything from crafting data strategies to implementing AI projects. With a deep understanding of cutting-edge technologies and industry trends, we empower organizations to harness the full potential of their data assets. Our multidisciplinary experts collaborate closely with clients to develop tailored solutions that drive innovation, efficiency, and competitive advantage. From optimizing data infrastructure to deploying advanced machine learning algorithms, we guide our clients through every step of their digital transformation journey, ensuring tangible results and sustainable growth. With a relentless commitment to excellence, we strive to exceed expectations and deliver impactful outcomes that propel businesses forward in the era of data-driven decision-making.
01. Data Strategy & Governance
- Acculturation & Data Training
- Data / AI / GenAI Roadmap
- Organization, Transformation & Operating Model
- Data Governance, Data Dictionary & MDM
- Data Architecture
02. Data Analysis & Visualization
- Data factory
- BI Migration
- BI Strategy
- BI Dashboards
- Data Automation
- BI Training & Support
03. Data Science & AI
- Data Marketing
- Operational Research
- Time Series
- Machine Learning Models
- Deep Learning Models
- NLP / GenAI Models
- Computer Vision
04. AI Foundations & Data Industrialization
- Platform Engineering: CI/CD Pipelines, DevOps, IaC
- Data Engineering: Scraping, ETL / ELT, Lake House
- Model Engineering: MLOps, LLMOps, Bias, Ethical AI
- Product Engineering
- GenAI Architecture: RAG, Prompt Engineering, Fine tuning, QLoRA
Our approach
We adopt a synergistic approach by integrating sector-specific expertise with advanced technical know-how in AI. Understanding the intricacies and challenges inherent in various industries enables us to pinpoint innovation opportunities for our clients. Simultaneously, leveraging state-of-the-art AI technologies such as machine learning and predictive analytics, we tailor bespoke solutions that address each client's unique needs. This integrated approach empowers us to devise innovative yet practical strategies, streamline business processes, and deliver tangible value, ensuring sustained relevance and competitiveness in the market landscape.
Our R&D Labs
To remain at the cutting edge of technology, we have structured our R&D activities around 12 Labs through which we collaborate with public and private partners.
OPERATIONS RESEARCH (OR)
- Optimization model
- Routing
- Solver
- Geomatic
- Quantum
TIME SERIES (TS)
- Forecasting
- Anomaly detection
- Clustering
- Pattern recognition
- Climatic data
- Thermosensitive modeling
- Profiling
DATA MARKETING (DM)
- Scoring
- Sales forecast
- Geomarketing
- Customer
- Knowledge Customer
- Lifetime event / value
ADVANCED ANALYTICS (AA)
- Descriptive statistical analysis
- Data storytelling
- Excel analysis
- PowerBI analysis
GENAI ENGINEERING (ENG)
- RAG
- AI Agents orchestration
- GenAI applications development
COMPUTER VISION (CV)
- Object detection
- Satellite imagery
- Streaming
- EdgeAI
- Image augmentation & segmentation
LANGUAGE (NLP)
- Topic detection / modeling
- Sentiment analysis
- LLMs
- Named Entity Recognition
- Text summary
AUDIO (AUD)
- Speech to Text
- Speech Generation
- Real-time VoiceBot
- Call summarization
- Audio & non-vocal classification
RESPONSIBLE AI (RAI)
- Human-in-the-loop
- Privacy
- Transparency
- Fairness
- Robustness
- Environmental impact
CLIMATE (CLI)
- Climate modelling
- Hazard modelling
- Climate risks assessment
- Weather data
- Climatic data
GRAPHS (GRY)
- Knowledge-Graphs
- Graph Theory
- GraphRAG
- Decision graphs
ENGINEERING (ENG)
- DevOps Engineering
- Data Engineering
- Software Eng
- Cloud skills
- Technology Watch & benchmarking
Our Solution Ecosystem
We offer Data Science solutions comign from years of development experience and the support of our customers. Our industrial tools and insights allow Sia to address recurring business issues and support value creation across multiple sectors. Our team brings together more than 450 Data Scientists, Data Engineers, Web Developers, UI/UX Designers across our 12 R&D Labs.
In September 2025, Sia launched its own Agent Store. With around 100 agents at launch and 400 in early 2026, the firm now offers more than 800 AI agents, available for direct consultation and deployment. Built on a learn-by-design approach, Sia’s Agent Store enables organizations to rapidly discover, test, and scale production-ready agentic use cases across industries such as Finance, Energy, Public Sector, Healthcare, and Retail, as well as across all corporate functions.
Our Tech accelerators
We team up with the biggest players to bring our clients cutting-edge technologies worldwide while maintaining an agnostic approach.
