Founder: Milovan Tomašević, PhD
Concept: The unique advanexus platform precisely automates data integration, migration, and processing in complex environments — using algorithmic logic that traditional AI models cannot replicate.
Today’s data systems are: slow, complex, and unreliable.
The most common problems in real-world organizations:
advanexus: A unique platform that precisely automates data operations.
Key solution points:
| Use Case | What the user gets | Business Value | Unique Value Proposition (UVP) |
|---|---|---|---|
| 1. Data import and preparation (CSV/JSON → SQL table) | Automatic file import and SQL generation | Fast processing and merging without ETL tools | Ingest + automatic SQL in a single step |
| 2. Integration of diverse sources (DBs, APIs, files) | One process linking DB2, Oracle, PostgreSQL, APIs, and files | Elimination of silos and manual wiring | Widest range of connectors + easy setup |
| 3. Data standardization (Customer–Product–Transaction) | Unified structure regardless of source | 360° view without a lakehouse | Internal standardized business model |
| 4. Analytics and visualization | SQL → charts, heatmaps, dashboards | Fast insights, no external BI tool needed | Visualization and data in one system |
| 5. Backup & Restore | Automated database copies and system recovery | Security and stability | Unique backup + restore engine |
| 6. Automated SQL execution | SQL scripts run sequentially or in parallel | Faster operations, no manual work | Centralized execution + error control |
| 7. Cross-DB schema and data transfer | Automatic transfer of tables and dependencies | Major time savings in migrations | Algorithmic dependency discovery |
| 8. Dependency and phase management (Analyzer & Master) | System auto-creates optimal execution order | Maximum speed and reliability | Intelligent parallelism scheduler |
| 9. Data Quality rules | Controls on every job and integration | Accurate data and process security | DQ directly integrated into pipeline |
| 10. Scheduler – flow scheduling | Jobs run automatically | Full automation | Simple, centralized scheduler |
| 11. Python Sandbox (analytics & ML) | Python environment within the platform | Flexibility for data science team | Unique mix of SQL + ingest + Python |
| 12. Quick file analysis (Table view + SQL access) | Every file becomes a table | Instant analytics | File-to-table SQL transformation |
| 13. API integration (sending data outward) | Sending SQL results to API endpoints | Automatic integrations with other systems | Formatting and sending without extra code |
| 14. Knowledge Base (organizational memory) | Documentation, tutorials, processes | Faster onboarding, fewer mistakes | First data platform with built-in knowledge |
| Criterion (Gartner DI/ETL) | advanexus | Databricks | Snowflake | Talend | Informatica IICS | Alteryx |
|---|---|---|---|---|---|---|
| 1. File import (CSV/JSON/Excel/Logs) | ✔ Native ingest | 🔄 Spark ingest | 🚫 Stage + COPY | ✔ | ✔ | ✔ |
| 2. Auto file → SQL table | ✔ Unique | 🚫 | 🚫 | 🚫 | 🚫 | 🚫 |
| 3. DB → DB data transfer | ✔ Built-in | 🚫 | 🚫 | 🔄 | 🔄 | 🚫 |
| 4. Schema and dependency migration | ✔ Algorithmic | 🚫 | 🚫 | 🚫 | 🚫 | 🚫 |
| 5. Orchestration (real-time jobs) | ✔ Built-in | 🔄 Workflows | 🚫 SQL Tasks | 🔄 | ✔ | 🔄 |
| 6. Automated SQL script execution | ✔ SQL Engine | ✔ | 🚫 | ✔ | ✔ | ✔ |
| 7. Dependency and parallelism management | ✔ Intelligent | 🔄 Manual DAG | 🚫 | 🔄 | 🔄 | 🚫 |
| 8. Built-in Data Quality rules | ✔ Real-time DQ | 🔄 (DLT) | 🚫 | ✔ | ✔ | 🔄 |
| 9. Monitoring and alerting | ✔ Centralized | ✔ | 🔄 | ✔ | ✔ | 🔄 |
| 10. Python sandbox / notebooks | ✔ Built-in | ✔ Notebooks | 🚫 | 🚫 | 🚫 | 🚫 |
| 11. Built-in visualization (charts/dashboards) | ✔ Visualizer | 🔄 Basic | 🚫 | 🚫 | 🚫 | ✔ |
References:
✔ = supported 🔄 = partially 🚫 = not supported
| Market | Size (base, $B) | Size in 2030 ($B) | CAGR (%) | Fastest Growing Region | Largest Market | Source |
|---|---|---|---|---|---|---|
| Customer Data Platforms (CDP) | 5.37 (2023) | 51.95 | 39.5% | Asia-Pacific | North America | Grand View Research |
| Autonomous Data Platforms | 2.13 (2025) | 5.37 | 20.3% | Asia-Pacific | North America | Mordor Intelligence |
| Data Science Platforms | 111.23 (2025) | 275.67 | 21.4% | Asia-Pacific | North America | Mordor Intelligence |
| DataOps Platforms | 4.22 (2023) | 17.17 | 22.5% | Asia-Pacific | North America | Grand View Research |
| Data Integration Platforms (ETL/ELT) | 15.18 (2024) | 30.27 | 12.1% | Asia-Pacific | North America | Grand View Research |
| Data Fabric Platforms | 2.29 (2023) | 12.91 (2032) | 21.2% | Asia-Pacific | North America | Fortune Business Insights |
| Master Data Management (MDM) | 18.23 (2025) | 43.38 | 18.9% | Asia-Pacific | North America | Mordor Intelligence |
✅ Production version with AI layer (ETL/ELT, analytics, visualization)
✅ 3–5 pilot B2B clients
✅ Established cloud infrastructure (EKS, RDS, CI/CD, security)
✅ Series A preparation: validation, PR, traction
| Role / Position | Key Responsibilities | Duration | Monthly Salary | Total (18m) |
|---|---|---|---|---|
| CTO / Founder | Development leadership, AI strategy | 18 mo. | €10,000 | €180,000 |
| Project Manager | Roadmap and team coordination | 18 mo. | €6,000 | €108,000 |
| Lead Developer | Architecture, microservices | 18 mo. | €6,000 | €108,000 |
| DevOps Engineer (AWS) | CI/CD, monitoring, Terraform | 18 mo. | €4,000 | €72,000 |
| AI/ML Engineer | AI/RAG/SQL prediction | 18 mo. | €3,500 | €63,000 |
| Full-Stack Developer | Frontend + backend integration | 18 mo. | €3,000 | €54,000 |
| UI/UX Designer | Interface design | 18 mo. | €3,000 | €54,000 |
| DB Administrator | PostgreSQL, optimization, backup | 18 mo. | €3,000 | €54,000 |
| QA / Support | Testing, regressions, documentation | 18 mo. | €1,800 | €32,400 |
| Security Advisor | GDPR, encryption, auditing | 18 mo. | €2,500 | €45,000 |
| BizDev / Sales | Contracts, partnerships, validation | 18 mo. | €3,500 | €63,000 |
| Marketing / PR | Promotion, campaigns, events | 18 mo. | €2,000 | €36,000 |
| AWS Cloud Support | Cloud optimization consulting | 18 mo. | €1,200 | €21,600 |
| HR / Admin / Legal | Team, admin, legal oversight | 18 mo. | €2,000 | €36,000 |
| Total (net) | €927,000 | |||
| + Contingency (~15%) | Licenses, equipment, workspace costs | ~€140,000 | ||
| Total Investment | Production + pilot clients + Series A validation | ~€1,070,000 |
advanexus is not just another data platform — it is a fundamentally new approach to data integration and processing in complex environments. In a world where organizations spend weeks on manual workflows, advanexus enables automated, accurate, and fast data operations through:
With this investment, you are enabling the scaling of a solution the industry truly needs – not for the hype, but for real value.
🎯 Investment sought: ~€1,070,000 🎯 Goal: Production launch, pilot clients, and Series A readiness