End to end data management.

The model is defined once and automatically deployed through code generation and dynamic dependency-aware orchestration.

Metadata driven Data Vault framework, native to Snowflake, that automates the design, loading, and observability of large scale analytical models.

Unlock insights from unstructured data powered by AI Snowflake.

AI enables organizations to capture, understand, and use every conversation. 
To improve customer experience, ensuring compliance, and drive smarter
decisions - making.

By applying advanced GenAI OCR and 
LLM-based Triage.

This solution enables organizations to digitize, comprehend, and prioritize every document. The platform extracts valuable information into a structured format to streamline workflows, ensuring timely responses and accelerating decision-making.

The platform is designed as a modular and scalable event-driven architecture ready to ingest, process, and structure high volumes of heterogeneous documents with enterprise-grade precision and security.

 

Transforming Corporate Knowledge into Actionable Autonomy.

Agentic AI for Snow is SDG Group’s premier platform framework designed to fully unleash the power of autonomous AI agents natively inside Snowflake. Moving far beyond traditional, passive informational AI, this accelerator provides organizations with a highly scalable, governed, and secure architecture to build, orchestrate, and monitor intelligent multi-agent systems. By unifying corporate knowledge with complex operational workflows, it enables businesses to turn data silos into proactive, decision-making ecosystem assistants without information ever leaving the Snowflake security perimeter.

Stop Analyzing Data and let’s dance with Business.

InsightGEN by SDG is a cognitive extension designed for leading business intelligence platforms, enabling the dynamic generation of reports and actionable insights through AI, presented in natural language. Moving beyond generic approaches to generative AI, this accelerator establishes a robust reasoning engine built on agentic architectures that fully integrates with existing semantic layers, business ontologies, and reporting frameworks. By harmonizing advanced corporate logic with conversational exploration, it bridges the trust gap in automated decision-making—delivering deeply tailored, deterministic insights aligned with an organization's unique narrative and style without disruption.

AI FW to document Database Objects.

Use Snowflake Cortex AI to automatically generate and apply object descriptions in databases (columns, tables, schemas, etc.), improving documentation and data discovery without manual effort.

Find Data Faster
Explainability
Confidence
Reduced time
CI/CD
Scalable

Extend Your Data Fabric with Fully Managed Data and AI Capabilities.


SAP Snowflake (SAP to Snowflake Solution Accelerator) is a strategic accelerator developed by SDG Group designed to seamlessly migrate and connect critical business data from legacy and modern SAP systems into the Snowflake AI Data Cloud. Built by experts with deep specialization in complex ecosystem integrations, this end-to-end framework automates data extraction across diverse SAP modules and applications (such as S/4HANA, BW, Ariba, or SuccessFactors), transforming it into optimized formats for advanced cloud analytics while fully preserving original business semantics. By unifying corporate logic and breaking down historical SAP data silos, it delivers a modern, secure, and governed-by-design reference architecture that drastically accelerates the deployment of cross-functional AI, Data Science, and 360° analytics initiatives.

Multi-agentic solution.

Why do we prefer AIMi to Snowconvert?

Tailored to our clients' needs
Agents adapted to the client’s Legacy Code
Agents adapted to the client’s Modern Technology
Generation agents can be fine tuned to meet special requirements (e.g., use custom frameworks)
Improve accuracy based on real customer scenarios
     (Example: No PKs defined at the source)

Multi-agentic dimensional data modelling and load process generation.

Embedded SDG Group’s know-how and industry best practices of modeling and coding
Agentic-assisted dimensional modeling following Kimball’s standards
Automatic generation of dbtprojects that builds the previously designed model
Drastic acceleration of non-value-added data management tasks

A modular and event-driven solution for efficient and reliable data migration.

MIRARI is SDG Group’s high-performance solution accelerator engineered to orchestrate and automate data streams within the pharmaceutical, biotech, and life sciences industries. Built on an advanced, asynchronous microservices architecture native to the Snowflake AI Data Cloud, MIRARI guarantees resilient and fault-tolerant data pipelines. The framework utilizes an intelligent queue system—including Input, Extraction, Loading, and Dead Letter Queues (DLQ)—managed by dedicated adapter and logging microservices. By automating metadata normalization, structural schema transformations, and strict error-handling directly within the pipeline, MIRARI provides life sciences organizations with near-zero downtime data ingest, absolute lineage, and uncompromised regulatory compliance for clinical and commercial intelligence.

Framework for trusted, governed and high quality data.

DataQuality FW for Snowflake is SDG Group’s native, metadata-driven auditing framework designed to enforce continuous governance and data trust across the enterprise data cloud. Moving beyond passive verification, this accelerator establishes an active compliance engine governed by a centralized Control Database. It automatically executes real-time validation rules, isolates non-compliant records, and generates comprehensive Completeness and Validity Reports. Equipped with native SLA Tracking and instant alerting mechanisms, DataQuality FW ensures that only trusted, high-fidelity data feeds your downstream analytics and AI models, transforming data observability into an automated, business-aligned defensive shield.