Organised around the decision, not the department.
Nobody wakes up needing a dashboard. They need to know how much to make, how much to hold, what to charge, and why the number moved. Each Veraius solution is named after one of those problems.
Start from the question you cannot answer today.
Demand Intelligence
Know what your business will need next — across products, locations, seasons and promotions.
Learn more “How much should we hold, and where?”Inventory Intelligence
Optimize inventory across locations, products and time, without tying up capital that should be working.
Learn more “What should we make, and when?”Production Intelligence
Turn production data into better production decisions — capacity, scheduling, downtime and yield.
Learn more “What happens if we change the price?”Pricing Intelligence
Understand the impact before making pricing decisions, not after the margin has already moved.
Learn more “Why did the number move?”Performance Intelligence
Understand what is driving business performance — KPI drivers, variance and root cause.
Learn moreDepartments own budgets. Decisions cross them.
A stock-out is a demand problem, a production problem and a supplier problem at the same time. Tools organised by department can only ever see one third of it.
One shared context
All five solutions read the same connected data, so a demand answer and an inventory answer never contradict each other.
Reasoning you can inspect
Every recommendation carries its drivers and its sources, so it can be challenged rather than merely accepted.
A path to action
A decision that stays in a report changes nothing. Veraius carries it into workflow and automation.
Five solutions, one decision pipeline.
ERP, POS, MES, WMS, CRM and IoT — into one place.
Operational data related and put in business context.
Demand, stock, production and performance, ahead of time.
Decision models and AI weigh the options with you.
Decisions executed through workflow and automation.
Start with the question you cannot answer today.
Tell us the decision that is hardest to get right, and we will show you how the platform handles it.
What your teams gain from Veraius agents.
Budget against reality
Planned and actual spend are compared by cost centre, and variances above your threshold are escalated with their cause.
See the Finance agents SalesKnow which lead is worth the call
Inbound leads are scored hot, warm or cold from their behaviour and fit, and routed to the right owner.
See the Sales agents ManufacturingCapacity against orders
Open orders are compared with available capacity so delivery risk shows before a due date is missed.
See the Manufacturing agentsIn every department
- Agents prepare the work on your own data; your people approve what happens next
- Plain-language questions answered from live ERP data, with tables and interactive charts
- Grounding check: numbers that cannot be traced to a source are not shown
- Explainability, confidence and risk scores with decision rationale
- Slack, Teams, WhatsApp and Signal channels with an approval inbox
- Department-based access policy with personal data masking
Frequently asked questions
Straight answers about integrations, deployment, security and cost — including where the honest answer is "it depends".
Ask your own questionHow are your solutions organised?
Around the decision, not the department. A demand forecast that lives in one team and an inventory policy that lives in another are the same decision seen twice; splitting them by org chart is what produces two answers to one question. Each solution below covers a decision end to end — the data it reads, the prediction it depends on, the choice it makes, and the record of why.
Do we have to adopt all five solutions at once?
No, and most organisations should not. Start with the decision that is made most often and reversed most easily — usually replenishment or production sequencing. A decision made daily produces enough evidence within a quarter to judge whether the system is right; one made twice a year does not.
What needs to be in place before any solution can work?
The data has to exist somewhere readable, and someone has to own the decision. The first is usually true and underestimated: an ERP with three years of order history is enough to start. The second is where projects stall — a decision nobody owns cannot be delegated, because there is no one to hand it back to when the system is unsure.
How long before a solution is making real decisions?
Weeks to a first recommendation, longer to unattended operation. The gap between the two is not model quality; it is the time it takes for a planner to disagree with the system often enough to trust it, and for the system to record enough reasoning to be worth trusting.