Fix the data, automate the analysis, get the right answers
Procurato helps organisations get their data right before they do anything else with it. Having developed bespoke machine learning models across procurement, insurance and other data-intensive sectors, we identify what is wrong, what is missing and what is needed; then build the models that fix it at scale, so every analysis, automation and AI initiative that follows is built on data you can trust.
Every AI initiative, automation programme and analytics project your organisation runs is only as reliable as the data underpinning it. Inconsistent records, missing data points, miscategorised entries and duplicates don’t just produce inaccurate outputs, but undermine confidence in every decision those outputs are supposed to inform. This is the reality of working with machine learning at scale. The model will learn from whatever you feed it. If the data is incomplete, poorly structured, or inaccurate, the model will encode those flaws and amplify them, not correct them. No amount of sophisticated modelling fixes a broken data foundation.
Our Data Quality Consulting service addresses this directly. We assess the data you have, understand what you are trying to achieve with it, identify what is missing or incorrect, and develop bespoke machine learning models that improve quality and enrich your data at scale. The result is a clean, structured, reliable dataset, and the automated processes to keep it that way.
Quality is the foundation. Once the data is right, we automate the analysis that runs on top of it, so insight is generated continuously, and every output reflects the most accurate and current data available. We work across any data type and any sector. Whether it is procurement spend data, insurance claims records, product catalogues or operational datasets, the methodology is the same: understand the data, diagnose the problem, build the model, automate the improvement and automate the analysis that follows.
Reliable AI and automation
Clean, accurately structured data so every downstream initiative performs as intended.
Quality that scales
ML models that clean and enrich your data continuously.
A representative picture of your data
Gaps, inconsistencies and enrichment opportunities surfaced across your full data estate.
Confident decisions
Answers your team can act on without second-guessing the numbers.
Our data quality consulting projects begin with understanding: of your data and its current quality, identifying inconsistencies, errors and limitations; of your objectives; and of the gap between them. From there, we move through a structured development process to deliver ML models that improve data quality at scale, automated processes that sustain it over time, and automated analysis that turns the improved data into answers.
Data Assessment & Objective Setting
We work with your team to understand what you are trying to achieve and assess the data you have available. This includes evaluating completeness, accuracy, consistency and structure, and building a clear picture of where the gaps and quality issues lie relative to your objectives.
Gap Identification & Enrichment Planning
We identify precisely what is missing, what is incorrect, and what needs to be added. This produces a prioritised enrichment and quality improvement plan, distinguishing between data that can be fixed within your existing estate and data that needs to be sourced or generated externally.
Data Preparation & Structuring
We clean, structure, and prepare your data as a foundation for model development. This phase addresses the most critical quality issues first and transforms your raw data into a form that is suitable for accurate, reliable ML training.
Bespoke ML Model Development
We design and build machine learning models tailored specifically to your data environment and quality challenge, whether that involves classification, deduplication, anomaly detection, entity resolution, or enrichment. Models are trained on your prepared data and validated against real-world scenarios before deployment.
Automation & Continuous Quality Management
We deploy automated processes that apply the ML model to new data continuously, maintaining quality standards as your data volumes grow and evolve. This removes the dependency on manual intervention and ensures quality improvement is sustained long after the initial engagement.
Automated Analysis & Insight Delivery
With quality assured, we automate the analysis itself: the reporting, dashboards and analytical logic that run on the improved dataset. Insight is generated continuously rather than compiled manually, and every output reflects the most current and accurate data available.
Depending on your business needs, our team can provide ongoing managed services. Our experts work alongside your team to help execute the initiatives you prioritise, ensuring the models are maintained and developed further as requirements grow and new technology emerges, and that data quality continues to improve over time.
A comprehensive audit of your current data estate covering completeness, accuracy, consistency, and structure, with a clear diagnosis of quality issues and enrichment gaps relative to your objectives.
A prioritised plan identifying what data is missing, what needs to be corrected, and how each issue will be addressed, with sequencing based on impact and feasibility.
Cleaned, enriched, and documented data ready for ML model training and downstream use across analytics, automation, and AI initiatives.
A fully built, trained, and validated machine learning model deployed into your environment and configured specifically for your data quality and enrichment challenge.
Deployed automation that applies the ML model to new data continuously, sustaining quality standards at scale without manual intervention.
Full technical and operational documentation covering model architecture, data inputs, business rules, and process logic, alongside user guides and training materials for your team.
We combine real industry expertise with technology that adds value. We speak the same language as your teams, avoiding consultancy complexity, and deliver insights in a clear, practical way.
Agile and adaptable, we stay aligned with your agenda even when challenges arise, always focused on delivering what we promise and leaving behind solutions that last.