Trusted by innovative organizations since 2015.
Context
The challenges of your industry
Production data exists, but no one has the full picture
Machines, ERP systems, quality tools, and logistics platforms each generate data in isolation. Connecting it into a coherent operational view is rarely straightforward. Without that unified picture, inefficiencies stay hidden and improvement efforts stay fragmented.
Waste and quality issues are identified too late
Defects, overproduction, excess material use: the signs are often in the data before they show up on the floor. But when reporting is manual, slow, or siloed, corrective action comes after the damage is done rather than before.
Demand forecasting still relies on experience and gut feel
Planning production volumes, managing stock, and coordinating supply chains are decisions made daily under uncertainty. Without models grounded in actual demand signals, companies either overproduce, underdeliver, or carry inventory they don't need.
Solutions
The solutions we offer
Operational dashboards and production reporting
We connect your production, quality, and logistics data into unified, real-time dashboards that give plant managers and leadership a shared, up-to-date view of what is happening across operations. Less time spent gathering data, more time spent acting on it.
Waste reduction and process optimisation with machine learning
We build models that identify the factors driving waste, defects, and inefficiency in your production processes, then translate those findings into a concrete action plan. Based on real data from your operations, not generic benchmarks.
Demand forecasting and supply chain analytics
We develop forecasting models that factor in your historical production data, seasonality, and external signals to help you plan more accurately. The result: better stock management, fewer disruptions, and production schedules you can actually trust.
Where we create value
Six capabilities.
One goal : measurable impact.
From strategy to execution, Agilytic covers the full spectrum of data & AI work — so you're never left to stitch together different partners at each stage.
How we work
1. Start from your business objectives
We don't begin with data or technology. We begin with what you're trying to achieve — reduced churn, faster decisions, better risk pricing — and work backwards from there.
2. Assess your data reality honestly
We tell you what's actually usable, what needs to be fixed, and what you can realistically achieve in 3, 6, and 12 months. No inflated promises.
3. Build what gets used, not what looks impressive
Our team works at the intersection of technical rigour and business pragmatism. We build solutions that your teams will actually adopt and run.
Case studies
A few client success stories
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