Visual canvas editor. Multi-database support. Real-time streaming. Docker-isolated execution. Self-hosted, GDPR-ready, fully sovereign.
Connects to your data, wherever it lives
A complete platform for building, deploying, and monitoring data pipelines at enterprise scale.
Drag-and-drop workflow designer with real-time data flow visualization. Build complex ETL pipelines in minutes, not weeks. See records flowing through every connection in real-time.
Connect MariaDB, PostgreSQL, SQL Server, and Oracle in the same pipeline. No adapters, no workarounds — deeply integrated multi-database support.
Convert any batch pipeline into a serverless request-response API. Submit documents via HTTP, get processed results back instantly.
Every process runs in its own Docker container with a dedicated message broker. Complete isolation, predictable performance, zero interference.
Companies, Projects, and role-based scoping. Every artifact — processes, connections, data tables — is isolated per tenant.
Made in Europe. Self-hosted on your infrastructure — on-prem, private cloud, or any provider. No data leaves your control. GDPR-compliant by design.
Table I/O, Lookups, HTTP enrichment, Kafka streaming, Excel import, string transforms — and extending is as simple as adding a Python class.
Add connections to your databases — MariaDB, PostgreSQL, SQL Server, Oracle, or Kafka. Configure once, reuse across all your pipelines.
Drag steps onto the visual canvas. Connect them with hops. Configure parameters in the properties panel. Add formulas for transformations.
Launch with one click. Each process spins up in its own Docker container with live record counters, log streaming, and hop-level data inspection.
Set cron schedules for automated runs. Chain multiple pipelines into jobs with conditional branching, timeouts, and success/failure paths.
Modern microservices architecture with complete process isolation and real-time communication.
Each pipeline runs in its own container with a dedicated Valkey broker. Zero cross-process interference.
Steps communicate via pub/sub messaging. Records flow through gates in real-time with backpressure handling.
Add new step types by dropping a Python package. Dynamic imports, no recompilation needed.
Complete API coverage with auto-generated OpenAPI docs. Integrate pipelines into any application.
From database I/O to HTTP enrichment and Kafka streaming. Extend with your own in minutes.
Read and write to any connected database with SQL queries and batch commits.
Source / SinkImport spreadsheets with sheet selection and automatic type detection.
SourceEnrich records via key-based left outer joins from lookup streams or data tables.
TransformerPer-record HTTP calls with URL templating, custom headers, auth, and response extraction.
TransformerConvert any pipeline into a serverless endpoint. Submit data, get results via HTTP.
FaaSReal-time consumption of Kafka topics with configurable consumer groups.
SourceExtract from multiple databases, transform with formulas and lookups, load into your data warehouse. All visually configured.
Read customer records, call external APIs per record (CRM, enrichment services), write enriched data back.
Stream Kafka events through transformation pipelines. Process documents via FaaS endpoints. Real-time data routing.
Chain multiple pipelines into scheduled jobs. Run every 6 hours, aggregate cross-database data, populate reporting tables.
We're seeking strategic investors to scale a European-built, production-ready platform into a market leader — at a time when digital sovereignty is no longer optional.
Data-Centric System isn't a concept — it's a fully functional platform already processing real workloads. The core technology is built: visual pipeline editor, multi-database engine, FaaS streaming, Docker isolation, and job orchestration. What we need now is fuel to grow.
Data integration is one of the fastest-growing segments in enterprise software, with double-digit annual growth. Organizations need solutions that aren't locked to a single cloud vendor.
Not vaporware. A complete plugin ecosystem covering database I/O, HTTP enrichment, Kafka streaming, Excel import, and serverless FaaS — all working in production.
MariaDB, PostgreSQL, SQL Server, Oracle, and Kafka. Most competitors lock you into one ecosystem. We connect them all in a single pipeline.
European-built, self-hosted, Docker-native architecture. Deploy on your own infrastructure — on-prem, private cloud, or any provider. Full data sovereignty, GDPR-compliant by design. No US Cloud Act exposure.
Sales team, marketing, enterprise pilots, and first paying customers
Cloud-managed offering, additional connectors, marketplace for community steps
SSO/LDAP, audit logging, RBAC, SOC 2 compliance, HA deployments
Natural language pipeline generation, smart data mapping, anomaly detection
Whether you're an investor, a potential partner, or an early adopter — we'd love to hear from you. The technology is ready. The market is waiting. Let's talk.