Over the course of the last 20 years, we have been participating in numerous data projects. We have delivered successfully multiple complex data change projects with complex deliverables on time and within budget. We are subject matter experts in Banking, Insurance, Utilities, Retail and Telecoms.
We apply effective methodologies to collect business requirements, devise realistic plans and implement structured well executed operations whilst ensuring that milestones are met and the business need to adapt to continuous change is supported.
We bring cutting-edge Generative AI solutions to enhance business intelligence and management information processes. Our innovative pipelines leverage advanced LLMs and RAG techniques to unlock data insights, streamline reporting, and empower non-technical decision-makers with actionable knowledge.
Our tailored solutions ensure seamless integration of Generative AI into existing BI & MI workflows. From advanced log analytics to dynamic data validation, our approach delivers measurable impact, enabling faster, more accurate, and scalable outcomes for your business intelligence needs.
Our experienced and highly specialized consultants provide invaluable help and contribute to the successful completion of your projects. We can build change teams for urgent deliveries in short notice.
Our vetting process ensures that those contributing in our projects are subject matter experts in their field, have high working ethics, are team players and have innovative spirit.
We help Data Management, Business Intelligence and Management Information teams to adopt AI powered solutions to harness the power of the latest state-of-the-art LLM models.
We advise those teams regarding the adoption of AI powered solutions in projects such as legacy code migration, code refactoring, migration from one platform to another, and data validation.
Our pre-trained LLM models have been optimised to be able to automatically analyse and classify complex SAS and Python scripts. The code analysis phase is completed in matter of hours rather than in days and week.
We have pre-trained multiple LLM models to enable the completion of specific tasks such as SAS, SQL or Python code analysis and documentation.
Over the course of time, we have developed and enhanced fine-tuning and prompting techniques that allows us to leverage the built-in “knowledge” of base LLM models to perform tasks such as data validation and data lineage.
Data validation is extremely critical, especially in highly regulated industries such as Banking and Insurance.
We have developed efficient fine-tuning techniques to optimize base LLM models to automate code migration tasks such as SAS to Python, SAS to SQL, SAS to PySpark, and Pandas to PySpark.
ETL pipelines exhibit a higher level of automation with regards to code migration, while reporting workloads require to some extend manual work due to restrictions in the presentation layer.
We utilize traditional and Generative AI driven solutions to perform data migration tasks such SAS to Pandas and PySpark, SAS to SQL and SAS to Databricks.
Pre-trained LLMs enhanced with RAG pipelines are able to connect the dots between the code and the underlying data ensuring faster and accurate deliverables.
Data is at the centre of what we do. We provide full life cycle of end to end data solutions in multiple platforms including SAS, SQL Server and AZURE Databricks.
We have adopted AI powered solutions across the development lifecycle to be able to improve the development and testing process and to shorten the delivery time.
We build state of the art live and on demand reporting solutions that allow our customers to optimize the use of their data. We have built advanced reports in SAS and complex reports and dashboards in Power BI.
Although the reporting development require more manual input, our models can still be used in co-pilot mode to accelerate reporting development.
Not sure where to start with generative AI? We help you craft a clear, tailored roadmap that aligns with your strategic goals, identifying high-impact use cases and outlining the steps to maximize your return on investment.
Already working on a GenAI project? Our expert consultants provide hands-on support, reviewing and optimizing your model’s architecture, guiding prompt engineering, and ensuring that your project stays on track and delivers real value.
From AI model design to deployment, our consultants cover all aspects of machine learning and AI. We supply top talent who bring both technical depth and industry-specific expertise to ensure robust, scalable solutions.
Efficient deployment, monitoring, and scaling of AI/ML models are critical to long-term success. We streamline MLOps for you, setting up reliable pipelines, automating testing, and enhancing model accuracy and resilience in production environments.
We help you navigate the complexities of data governance, privacy, and compliance, ensuring that your GenAI solutions meet the highest standards and regulatory requirements.
Generative AI models evolve quickly. Our team provides ongoing training, performance tuning, and prompt updates, keeping your AI models cutting-edge and competitive.
Customized roadmaps tailored to your organization’s needs.
Comprehensive assessments to identify and mitigate risks.
Advanced tools to streamline GDPR workflows and ensure adherence.
Empower your team with cutting-edge GDPR training modules leveraging AI for practical, interactive learning.
Transform your GDPR compliance with AI-powered automation for DSAR management, compliance monitoring, and more.
Our experts provide ongoing advisory and support to ensure your GDPR processes are effective and future-proof.
Automate the lifecycle of Data Subject Access Requests, including validation and response generation.
Continuous tracking of data processing activities and automated compliance reporting.
Real-time anonymization and pseudonymization of sensitive data for analytics and sharing.
Automatically map and categorize personal data across multiple systems.
Stay ahead with AI-driven updates on GDPR and global privacy laws.
Support for multilingual and region-specific GDPR compliance needs.
Enhance the performance of SQL, SAS, and Python environments with fine-tuned LLMs for efficient coding practices.
Reduce data redundancy and optimize storage using advanced compression techniques for seamless data handling.
Accelerate query performance and streamline workflows to deliver real-time insights with reduced latency.
Implement changes and demonstrate measurable KPIs showcasing enhanced efficiency and cost savings.
Validate optimization benefits through POCs or pilot projects, demonstrating tangible results before large-scale deployment.
Strategic recommendations for cloud services, infrastructure upgrades, and long-term ESG impact solutions.
Introductory Consultation: Discuss goals and potential applications for generative AI to align with strategic needs.
Work Order Submission: Outline preliminary project details, including focus areas and stakeholders.
Define scope, objectives, and deliverables with clear timelines and resource agreements.
Establish budget, milestones, and expectations for seamless collaboration.
Assess technical and data readiness, identifying improvement areas for AI integration.
Perform gap analysis and infrastructure review to prepare systems for GenAI adoption.
Gather detailed requirements and prioritize use cases for high-impact outcomes.
Align strategic objectives with feasible and valuable AI applications.
Design tailored AI architectures, refining timelines and dependencies.
Specify models, tools, and solutions for effective implementation.
Develop and fine-tune models using techniques like LoRA for efficiency.
Validate models rigorously to ensure optimal performance.
Evaluate model performance, ensuring stability and scalability for deployment.
Provide a roadmap for smooth production rollout with risk management plans.
Deploy models with minimal disruption, coordinating with IT and operations teams.
Deliver detailed documentation and a comprehensive handover package.
Offer ongoing training, monitoring, and optimization for continuous improvement.
Provide regular reviews and enhancements based on evolving business needs.
Get in touch with our team to discuss your organization’s needs and expectations for the demo.
We customize the demo to align with your business requirements and areas of interest in Generative AI solutions.
Choose a convenient time for an interactive session with our experts, showcasing live Generative AI capabilities.
During the demo, explore specific use cases and how our solutions can solve your business challenges.
Discuss insights, potential implementations, and next steps after the demo to ensure value delivery.
Our team provides detailed feedback and addresses any questions or requirements following the demo session.
SAS
AZURE
PYTHON
DATABRICKS
SQL
TENSORFLOW
PYTORCH
LLM
GEMMA
MISTRAL
LLAMA
HUGGING FACE
PANDAS
NLP
POWER BI
KUBERNETES
LANGCHAIN
DOCKER