Data Sovereignty · AI · TVL Tech

We build the Sovereign Data Layer for AI

We prepare enterprise data for AI, governed and ready.
Keep it sovereign when you need to, and run your AI wherever you choose.

TVL Data Transfer architecture: source systems (SAP, Oracle, SQL Server, IBM DB2, APIs, documents) flow through the TVL Data Transfer engine into target databases (PostgreSQL, MySQL, MongoDB, BigQuery); an MCP server then serves the data to AI agents. TVL Data Transfer architecture: source systems (SAP, Oracle, SQL Server, IBM DB2, APIs, documents) flow through the TVL Data Transfer engine into target databases (PostgreSQL, MySQL, MongoDB, BigQuery); an MCP server then serves the data to AI agents.
Any to any
Any source to any AI agent, through one layer
22,000
Rows / second sustained on our reference deployment
EU · on premise
You choose where data lives and where AI runs
In production
Live today, powering AI agents at Romstal
The challenge

AI needs your data. You set the rules.

"Data is scattered across SAP, Oracle, Postgres, lakes and files.
Every system is its own silo.
It arrives raw and inconsistent, so your agents cannot safely rely on it."
  • Your data lives everywhere, in dozens of systems that were never designed to talk to each other.
  • It arrives raw and inconsistent, so agents built on top of it produce answers you cannot trust.
  • Where data lives and where AI runs stays your decision, free of vendor lock in.
  • The EU AI Act and GDPR require residency, auditability and lineage you can prove.
Abstract dark visualisation of many separate data nodes, evoking enterprise systems scattered and not yet connected.
Sovereignty, defined

Sovereign when you need it

Sovereignty is a choice you architect. We build so data can stay in the EU or on premise, under your keys and in your jurisdiction, aligned with the EU AI Act, GDPR and Gaia-X.

You choose where data lives

EU regions, on premise, air gapped, or your own cloud. Your architecture and your decision, never forced into a single vendor's estate.

You hold the keys

The pipeline runs on infrastructure you control, in your jurisdiction, with the encryption keys in your hands. We operate it; the data and the keys stay yours.

Auditable, end to end

Every hop is logged and inspectable, for full lineage from source record to the answer an agent gives.

EU AI Act GDPR Data residency Auditable lineage Encrypted in transit Customer held keys Gaia-X aligned
How it works

Capture, route and deliver, in the right order

A change data capture pipeline that never rewrites your applications and never scrapes whole tables.

01

Capture

Every insert, update and delete is picked up as it commits. It reads from the change stream (log based or trigger based, whichever fits) instead of scraping whole tables, and never rewrites your applications.

✓ Source systems keep running, untouched
02

Route

Rules decide what goes where: by table, column, row or your own logic. In flight, data is filtered, mapped, masked, enriched and split or merged, with SQL lookups and scripted rules, so each target receives exactly the shape it needs.

✓ Each target gets exactly the data it needs
03

Deliver

Changes are grouped into channels, batched and compressed, then applied in the correct transactional order. Traffic is throttled to protect the network, and every batch is tracked, so delivery resumes exactly where it stopped after an outage.

✓ Correct order, nothing dropped

Enterprise sources into your data lake or warehouse

Land data in the target you choose: a data lake, a database or a warehouse such as BigQuery, Postgres, MySQL, Oracle, Splunk or Elasticsearch. One clean load of history, then a live feed, while your source systems keep running.

Sources
Enterprise systems
SAP tables, Oracle change logs, Postgres, files and more
Pipeline
TVL Data Transfer
Log based or trigger based capture, transformed in flight
Target
Your lake or warehouse
BigQuery, Postgres, MySQL, Oracle, Splunk, Elasticsearch and more. Keys and types preserved
What lands in your target
Reads SAP tables, Oracle change logs and more

Log based or trigger based capture, whichever fits the source.

Preserves keys, data types and relationships

Your model arrives with keys, types and relationships intact.

Bulk load for history, then continuous sync

One clean backfill, then a live change feed on top.

Lands analytics ready tables in your target

Ready for reporting and for your AI agents, right where you already work.

Data refinement

Three layers, from raw capture to business ready tables

Every layer lives in your own target system, versioned and auditable.

01
Bronze

Raw, as it lands

Every source record captured exactly as it arrives, nothing lost. The immutable record of what happened.

02
Silver

Cleaned and conformed

Deduplicated, typed and joined into one consistent model across every source system.

03
Gold

Business ready

Aggregated, modelled tables that power reporting and the answers your AI agents give.

What it handles

Built for complex, real world estates

Table level control: sync one table in one direction and another in both, inside the same pipeline. Pick the columns, rows and direction per table.

Change data capture (CDC): reads the change stream at commit, without scanning whole tables
Bidirectional and multi primary: sync both ways, many writers at once
Transform, filter and mask in flight: map, enrich, split or merge rows and columns
SQL lookups and scripted rules: enrich or reshape with your own logic, per table
Deterministic conflict resolution: newer wins, timestamp or version aware, or flagged for manual review
Rule based routing: by table, column, row or your own logic
Transactional, resumable delivery: batched, compressed, applied in commit order, throttled
Secure over HTTPS: safe through firewalls, with no open database ports
Near real time or scheduled: push or pull across WAN and LAN, or on a cadence
On premises, cloud or hybrid: scales from 2 to thousands of nodes
Reliability & scale

Every batch tracked, every row delivered

22,000
rows / second

Peak sustained throughput

Measured on our own reference deployment, running continuously under production load.

Durable by default

Every batch is tracked in a transaction and retried through outages, so delivery resumes exactly where it stopped, with nothing dropped.

Scales horizontally

Parallel channels and clustered nodes move data fast, with proven deployments spanning thousands of nodes.

AI agents at work

Agents that answer from data you can trust

Through an MCP server, your agents query the governed Gold tier: curated, business ready data that agents can rely on, so answers stay trustworthy and traceable. Run them in the US, the EU or on premise.

Answer across every system

Agents respond on live records unified from every source, always current.

Draft quotes, assign SAP codes

Draft quotes and assign SAP codes directly from prepared data, work that once needed a specialist.

Every answer traceable

Governed answers that trace back to real, prepared, auditable data, wherever your AI runs.

How we compare

The same job, done three ways

In house or open source stack

Full control, though slow to build and demanding to run. You assemble the log readers, message bus and sink connectors yourself, and bidirectional sync, conflict resolution and lineage are all yours to engineer and maintain.

Single cloud service

Quick to launch, then hard to leave: it ties you to one cloud and one estate. Usually one directional, light on transformation, and often blind to SAP, Oracle and mainframe sources. Your data and keys live in the vendor's control plane.

TVL Data Transfer

Any source to any target

SAP, Oracle and DB2 included, bidirectional, hosted in the EU or on premise with your own keys. One layer lands the data, refines it across Bronze, Silver and Gold, and serves it to your AI agents, with auditable lineage end to end.

How TVL Data Transfer compares with an in house or open source stack and a single cloud service, capability by capability.
Capability In house / OSS stack Single cloud service TVL Data Transfer
EU, on premise or air gapped hostingPartialNoYes
Customer held keys, in your jurisdictionPartialNoYes
SAP · Oracle · DB2 sourcesPartialPartialYes
Bidirectional and multi primary syncDIYNoYes
In flight transform, mask and routingPartialPartialYes
Bronze, Silver and Gold refinementPartialPartialYes
Governed Gold served to AI agents (MCP)NoEmergingYes
Auditable lineage, end to endPartialPartialYes
Case study · In production

Romstal: unified data for AI agents

"Agentic OCR routes products to AI agents and assigns SAP codes, fed by a Google Cloud data lake. Enterprise data moved into one layer ready for AI, bringing faster quoting at lower cost, new salespeople who ramp up quickly, and one unified data source for every AI agent."
Live in production · Vertex AI · LangChain / LangGraph · Cloud Run
Track record

Proven for the European Commission

100+
Projects delivered
6
Industries
3
Countries · LU, RO, US
30
Person team across AI, blockchain and data

EBSI, for the European Commission

Our CTO designed and audited the smart contracts behind the EU's European Blockchain Services Infrastructure.

Enterprise scale

Our CEO scaled eMAG Marketplace to $1B ARR, and sits in the European Commission's AI Group of Practice.

Trusted & recognised

Trusted by DataDiggers and Romstal. NATO DIANA mentor and judge. A senior, international team in Luxembourg, Romania and the US.

FAQ

Questions we hear most

Enterprise sources such as SAP, Oracle, SQL Server, DB2, Postgres, data lakes and files, captured log based or trigger based. Targets are yours to choose: BigQuery, Postgres, MySQL, Oracle, Splunk, Elasticsearch and other lakes, databases and warehouses, refined across Bronze, Silver and Gold. Any source to any target.
No. It reads from the change stream rather than scraping whole tables, and never rewrites your applications. We do one clean bulk load of history, then a continuous live sync on top, while your systems keep running throughout.
Wherever you decide: EU regions, on premise, or your own cloud. You keep your infrastructure and your encryption keys; we operate the pipeline while you keep control. Every hop is logged for full, auditable lineage.
Through an MCP server, your agents query the governed Gold tier data directly. They run in the US, the EU or on premise, and every answer is traceable to real, prepared, auditable records.
Every batch is tracked in a transaction and retried through outages, so delivery resumes where it stopped with nothing dropped. Peak sustained throughput on our reference deployment is 22,000 rows/second, and it scales from 2 to thousands of nodes.
Yes. The pipeline runs bidirectional and multi primary, so several systems can write at once. Conflicts are detected on the primary key, changed data, or a timestamp or version column, then resolved with a deterministic strategy such as newer wins, or flagged for manual review, and you set the rule per table.
Either. We scope, build and operate the pipeline end to end: a single migration off a legacy system, a continuous sync between platforms, or a permanent integration layer. Tell us the two systems and we stand up a working pipeline on your own data in weeks, not quarters.

Let's move your data

Tell us the two systems. We'll stand up a working pipeline on your own data in weeks, not quarters, as a scoped pilot, a framework contract or a managed service.

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