Know what is happening
See current sales, operations, and supply-chain activity in one reliable view.
Real-Time Data Platform
We connect your business systems so you can see current information in one place, spot problems sooner, and power AI automations.
How it works
Databases, apps, and other data sources
Information is collected, checked, and organized
Dashboards, alerts, and automated workflows
Why it matters
See current sales, operations, and supply-chain activity in one reliable view.
Alert the right people when an important change needs attention.
Keep data moving between systems and trigger workflows from live events.
What we build
Fullsolid plans, builds, and runs the data flow. We work with your existing tools and the cloud platform that fits your business.
Bring updates from SQL and NoSQL databases, APIs, and event feeds into one platform.
Check, clean, and organize the data so teams can use the same information.
Prepare data for dashboards, alerts, AI tools, and automated decisions.
Set up security, monitoring, and a handover your team can use.
Example technology stack
We choose the setup for your systems. A typical platform can include:
PostgreSQL (Postgres), MySQL, APIs, and event feeds.
Debezium captures database changes. Apache Kafka and Apache Flink move and process events.
Snowflake, Databricks, Amazon Redshift, or Google BigQuery.
dbt models data for dashboards, alerts, and AI workflows.
We use a central data platform that collects information from your systems, checks its quality, and prepares it for dashboards, alerts, and AI automation.
Less impact on daily systems: Data is transferred in the background, helping keep your core business systems running smoothly.
Security and reliability: Data is protected during transfer and storage, with controlled access, activity tracking, and ongoing monitoring.
Delivery plan: A structured approach covering planning, implementation, AI readiness, and knowledge transfer.
Performance targets: Fast data updates, information ready to use in under five seconds, quick responses to AI triggers, and 99.9% uptime for critical services. Final targets are agreed based on project needs.
AI automation
Once data is clean and current, AI agents and business rules can use it to find issues, recommend next steps, and start workflows.
Review new events and alert your team when an order, stock level, or other key measure needs a closer look.
Classify an event and route it to the right person or system without waiting for a manual report.
Give AI agents trusted data for recommendations, approved automated decisions, and predictive workflows.
These are examples. We choose the automations around your processes and the decisions you want to improve.
Talk to Fullsolid
Tell us where your data is delayed, scattered, or hard to trust. We'll review your systems and agree on a first use case for your real-time data platform.