We help organisations move away from manual reporting, fragmented systems, and conflicting numbers towards secure, scalable platforms that deliver a single, trusted source of truth for the business.
Our platforms enable senior leadership to make informed decisions, control costs, and lead their organisations with confidence, underpinned by a governed, single source of truth.
Organisations often struggle with disconnected data spread across multiple systems such as ERPs, CRMs, spreadsheets, and SaaS platforms.
Disconnected data across systems (CRM, spreadsheets, SaaS)
Conflicting numbers and lack of trust
Manual reporting and time-consuming processes
Limited visibility across the business
Data is centralised into a secure, governed, and scalable cloud platform, providing a single, reliable source of truth across the organisation.
Clear, reliable reporting and actionable insight.
Consistent, reliable reporting
Connected systems and automated workflows.
Stronger data governance and security.
GRADIS provides a focused set of services designed to simplify complex data environments, deliver trusted insights, and enable long-term scalability and efficiency. Our four core offerings cover the full data lifecycle — from foundation and integration through to analytics and advanced intelligence.
We help organisations move away from manual reporting, fragmented systems, and conflicting numbers towards secure, scalable platforms that deliver a single, trusted source of truth for the business.
We turn your data into a trusted foundation for decision-making — improving reporting, enabling integrations, automating processes, and driving AI insight to support more efficient operations and better commercial decisions.
We deliver intelligent data solutions that unlock deeper insights and automation, including sentiment analysis, document parsing, forecasting, clustering, and intelligent data stitching.
These capabilities allow organisations to move beyond traditional reporting into predictive and advanced analytics as their data maturity grows.
We connect and automate data flows across core business systems such as ERPs, CRMs, finance platforms, and SaaS tools including Salesforce
and Xero.
This eliminates manual processes, improves data consistency, and creates seamless workflows across the organisation.
We design secure, scalable, and future-proof data platforms aligned to real business needs. Our architectures create a clear, governed foundation that centralises data into a single source of truth, ensuring reliability, performance, and long-term maintainability.
GRADIS partners with organisations that rely on data to run their business and are ready to move away from manual, unreliable, and overly complex reporting environments.
We support any organisation that relies on reporting,
analytics, and data-driven decision-making and are tuly industry-agnostic.
GRADIS follows a simple, collaborative, and outcome-focused process designed to remove complexity, deliver reliable results, and create platforms that stand the test of time.
We begin by working closely with stakeholders to understand business goals, pain points, and how data currently flows across the organisation.
This includes reviewing existing systems, reporting processes, and challenges to identify where inefficiencies, risks, and opportunities exist.
Using insights from discovery, we design a clear, scalable, and technology-agnostic data platform tailored to real business needs.
Our focus is on simplicity, security, governance, and long-term maintainability — not unnecessary complexity.
We implement robust data pipelines and integrations across business systems, centralising data into a secure, governed platform.
Automation replaces manual processes, improving reliability, performance, and data quality.
We layer intuitive analytics and reporting on top of clean, trusted data, enabling self-service dashboards and clear visibility across the business.
Senior leaders gain fast access to consistent numbers they can trust.
We continue to support and optimise platforms over time, ensuring performance, cost-efficiency, and scalability as needs evolve.
This includes monitoring, optimisation, and enabling advanced capabilities such as AI and predictive analytics when required.
