Built for Decisions.
Optia makes your data AI-ready so you become AI-confident.
Trusted data. Clear Answers. Confident decisions.
Solutions
You know AI is changing the way we work. Knowing what to do about it and where to start is hard. Real, measurable success with AI depends on three progressive layers:
Without these, AI initiatives fail. Optia builds all three for you.
We bring together your data: syndicated market, sales and marketing or your own internal numbers, creating one governed, audited and secure environment. Your data, reconciled and reliable, with a clear trail from which every figure originates. The result? Numbers that match and reporting that runs itself. Most people undervalue this, which is why any AI will give confident, wrong answers
Data on its own doesn't know your categories, your definitions, your hierarchies or your quirks. We codify that meaning in a managed layer: the business rules, definitions and relationships that let your people - and any AI - read your data correctly.
Dashboards, ad-hoc answers and enhanced analysis. Every insight identifies real value and how to unlock it. Every recommendation is provided to improve your business, based on your governed data. All verified by a human analyst. Decisions made with confidence. Actionable insights not vanity metrics.
Not sure which of these layers fits with where you are today?
Start a conversationFoundation
Foundational data engineering
Optia's rule-driven framework harmonises and standardises the data. You get an automated, audited process that creates a clean raw data lakehouse to work with. We then work with you to build data transformation pipelines over this, producing data optimised for analysis in your BI tool of choice.
Context
Data catalogue and context layer
Our foundational data engineering processes build a governed catalogue of definitions, business rules and lineage. You get two key things: standardised metrics to work with, and pre-calculated datasets, leaving no scope for LLMs to hallucinate or imagine numbers.
Intelligence
Model Context Protocol over your data
Your harmonised data made available through MCP, so CoPilot and other AI assistants can query it directly, governed by the same permissions, lineage and named-analyst accountability as the rest of the platform.
Customers
We help consumer businesses unlock more value from complex, costly, syndicated data; this is where we have the most experience and our greatest relationships. The same engineering also serves clients in industrial, health, education, financial services consumer electronics verticals.
Partner network
What we hear
“I need time to do my actual job.”
80%
of analyst time goes on preparing data.
Just 20% remains for the work they were hired to do.
Retailer EPOS says one thing. Syndicated data says another.
The meeting starts in ten minutes and nobody knows which number is true.
10 to 15
people edit the same reporting file every month.
One overwritten formula is all it takes. Nobody notices until the numbers are presented.
One person knows how it all works.
When they leave, where do you start?
This is not an analyst problem. It is a commercial risk.
Capable teams are being asked to make major decisions using brittle, patched up spreadsheets. When syndicated data doesn’t reconcile with internal systems, a retailer feed silently drops products, or one incorrect SKU distorts an entire forecast, it is not the data that gets questioned. It is the person presenting it.
Optia catches and resolves discrepancies before they reach your category reporting, a board pack or a buyer meeting, so your teams have confidence in their numbers.
Pick the week that looks like yours.
The week
Your analysts spend the week assembling exports, reconciling definitions and rebuilding the baseline. By the time they can investigate the question, the commercial conversation has already moved on.
What changes
Start with the question.
Optia delivers one harmonised, analysis-ready baseline across retailer, syndicated and internal data. Your team investigates what changed, why it changed and what to do next, without rebuilding the data first.
The week
Was it distribution, availability, range, price or promotion? When the buyer asks, your team is still reconciling the evidence instead of presenting the opportunity.
What changes
Walk in knowing what changed and why.
Optia connects retailer performance, market context and your own, bespoke category definitions on one governed baseline. Every recommendation is supported by evidence you can trace, explain and defend.
The week
Spend sits in one file, retailer sales in another and volume uplift somewhere else. By the time the evaluation is complete, the next promotion has already been committed.
What changes
Know what worked while you can still act on it.
Optia connects spend, price, volume and margin by promotion, retailer and SKU. You can see what created genuine incremental value via A/B testing and adjust the next decision before the budget is gone.
The week
Finance, sales and category arrive with different versions of performance. Leadership time is spent reconciling the past instead of deciding what happens next.
What changes
One single source of truth.
Optia creates a governed, traceable view of performance across the business. Every team works from the same figures, every number has a source and meetings move from reconciliation to action.
One trusted baseline. Every team aligned. Better decisions, made faster.
See how the baseline is built →Approach
Most advice starts with choosing a model, buying a platform or deploying a chatbot. Or being told to use Copilot.The hardest part isn't choosing the right AI tools. It's having trustable, AI usable data available.Ask the most sophisticated model a question over fragmented, contradictory or poorly governed data and you'll receive a confident answer. It just may not be the correct one.We don't begin with AI. We begin with trust.
Every engagement follows the same principle.First, we understand how your business makes decisions.Then we bring together all your data sources: syndicated market data, retailer data and your internal systems into one governed, auditable foundation.Next, we capture the business rules, hierarchies and commercial context that give your data meaning.Then do we apply AI.The result isn't simply better reporting. It's intelligence your teams can act on with confidence.
Some organisations need predictive modelling. Others need workflow automation. Some simply need reporting they can finally trust.Our role isn't to sell you "AI". It is to recommend the right combination of data engineering, analytics, automation and Practical Intelligence for your business today, while creating foundations that allow you to adopt more advanced AI when the time is right.Sometimes AI is the answer. Sometimes it isn't. We'll tell you the difference.
Core
If you own data or IT, you're the one who has to be comfortable with how this works. Here's the straight version.
Optia runs all your data processes in a code and data versioned setup. We maintain full lineage of every change so that you don't need to deal with any surprises. Our data analysts and engineers have years of experience in dealing with data coming from myriad companies and in particular retail data providers, with whom we have data sharing partnerships. This experience allows us to build a wide range of data audits so we catch issues early.
Optia's processes are ISO27001:2022 certified. This means that we have been rigorously tested on best practices on data, infrastructure and process security. A lot of infrastructure build now happens through agents. We have skilled them to do any activity ground up, taking into account the strictest security controls.
We are big fans of conventional, top notch software. While AI Agents help us write logic and processes in an attended setup, we do not deploy them to take any autonomous un-attended decisions on your data. Every data exception is human understood, corrected and validated. Our experience has taught us where the efficiencies of AI are but equally what the risks are. Rest assured, your data is in safe hands.
Our experience has taught us where the efficiencies of AI are, but equally what the risks are. Your data is in safe hands.
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