Connect your business data. Create a decision-ready data foundation.
Decisions fail on fragmented data long before they fail on models. Data Intelligence brings your operational systems into one related, contextualised foundation.
Reads the systems you already run.
ERP
Orders, materials, costs and financial postings from your core resource planning system.
MES
Production execution: runs, downtime, scrap, yield and line performance.
POS
Store-level transactions at the granularity demand forecasting actually needs.
WMS
Warehouse stock positions, movements and fulfilment activity.
CRM
Customer, pipeline and service history tied back to what was actually delivered.
E-commerce
Online orders, baskets and channel behaviour alongside physical sales.
IoT
Sensor and telemetry streams from machines, vehicles and facilities.
Databases
Direct reads from operational and analytical databases already in your estate.
APIs
Any system with an interface, including the in-house ones nobody else integrates with.
Files
The spreadsheets and exports that quietly hold half the operational truth.
One platform, the whole enterprise ecosystem.
Veraius works with the systems you already use — and runs where your data is allowed to live.
- SAP S/4HANA
- Oracle Fusion
- Dynamics 365
- Salesforce
- Dynamics 365 CE
- SAP CX
- SAP IBP
- Oracle SCM
- Blue Yonder
- Retail POS
- E-commerce
- Marketplaces
- Snowflake · Databricks
- BigQuery · Redshift
- Retrieval Pipeline
- GitLab CI · Jenkins
- Kubernetes · Terraform
- Trivy · SonarQube
- Datadog · Splunk
- Prometheus · Grafana
- SLA / SLO Monitoring
- Cloud & On-Prem Models
- Agent Orchestration
- Enterprise Memory
- Microsoft 365
- Confluence · SharePoint
- AI-assisted Search
- Okta · Entra ID
- SSO / MFA · Zero Trust
- Compliance & Audit
- ServiceNow · Jira SM
- ITSM · CMDB
- AI-assisted Operations
- PostgreSQL · Redis · Kafka
- Ollama · MCP
- Elastic · MinIO
Enterprise data integration that produces a decision-ready foundation
Enterprise data integration is usually framed as a plumbing problem: move records from ERP, MES, POS and CRM into one place. Moving them is the easy half. The half that decides whether anything useful follows is relating them — knowing that this SKU in the warehouse system is that SKU in the point-of-sale extract, and that both refer to the product the plant schedules under a third code.
Veraius reads the systems you already run and builds those relationships rather than assuming them. The result is a foundation where a question about demand can reach production capacity and supplier lead time without anyone reconciling spreadsheets first.
Data stays where your governance requires it. The platform runs on-premise, in a private cloud or hosted, and the deployment model is your choice rather than a condition of using it.
What your teams gain from Veraius agents.
A forecast grounded in your history
A hierarchical 12-month sales forecast is built from your own orders and reconciled with external factors.
See the Sales agents Supply ChainStock where demand will be
Replenishment is driven by the demand forecast, so stock moves before shortages do.
See the Supply Chain agents ManufacturingAnswers from the real query
Every figure comes from a query against your production data and links back to the records behind it.
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 questionWhich systems do you read from?
ERP, MES, POS, WMS, CRM, IoT streams, databases and APIs. In practice the ERP comes first because it holds the order history every forecast depends on, and the second connector is whichever system holds the constraint the ERP does not model — capacity, shelf space, supplier commitments.
Our data is messy. Can we still start?
"Our data is messy" is not a diagnosis. The measurable version is: how many rows have a missing date, how many products carry inconsistent units, how many codes describe the same item. Those three numbers take a week to produce and tell you the real difficulty — projects that skip them discover it in month six.
Do you copy our data somewhere?
Only what a decision needs, and where you decide it may live. Enterprise data integration here means a decision-ready foundation rather than a second warehouse: the goal is that a decision can read what it needs, not that everything is duplicated first.