Partnerships and Integrations

Martenweave is ready to collaborate with teams that want to connect governed model work to the systems and delivery practices they already use. The product remains local-first and controlled by design: integrations should bring evidence in, create reviewable outputs, or support approved workflows. They should not silently replace canonical model truth or write into production systems.

For integration partners

If you build or operate data, migration, MDM, governance, or delivery platforms, we are open to designing bounded integration paths together. A useful collaboration starts with a real workflow rather than a generic connector promise.

Examples include:

• importing approved extracts or review files to profile evidence and identify model gaps;
• exchanging model objects, schemas, lineage edges, or reports through documented files, APIs, and generated exports;
• turning governed review outcomes into issue drafts, change bundles, or downstream work items; and
• using the local API and MCP surface to connect an approved tool or agent experience to the canonical model layer.

We will assess the interface, ownership model, data sensitivity, and approval points with you. The aim is a supportable integration boundary with clear evidence flow—not hidden synchronization, autonomous model edits, or unqualified product claims.

For consulting and delivery firms

Martenweave offers consulting practices a way to turn hard-won delivery knowledge into a controlled asset that can travel from project to project. We are interested in working with firms that deliver SAP migration, MDM or MDG, data governance, data quality, integration, or AMS services.

A partnership can help your practice:

• establish repeatable model-baseline, readiness, and handover methods around real client artefacts;
• preserve the reasoning behind mappings, rules, exceptions, and design decisions as team members change;
• give architects, data leads, and client reviewers one inspectable evidence trail instead of parallel spreadsheets and presentations; and
• co-design domain packs, starter scenarios, integration patterns, or delivery accelerators that remain reviewable and maintainable.

This is a collaboration opportunity, not a reseller programme or an assertion of certification, exclusivity, or affiliation. Each engagement begins with a defined scenario and agreed responsibilities.

A practical starting point

The strongest first collaboration is deliberately small:

1. Choose one high-value model area or recurring delivery problem.
2. Identify the systems, safe-to-share artefacts, reviewers, and required outcome.
3. Map a bounded evidence flow into canonical files, validation, review, and controlled outputs.
4. Evaluate the result together before expanding the scope or defining an integration roadmap.

This approach makes it possible to prove usefulness while respecting client confidentiality, existing tool ownership, and the human approvals that govern material model changes.

Start a conversation

Contact Metalhatcats on LinkedIn with a short description of your platform or consulting practice, the delivery scenario you want to improve, the relevant systems, and any confidentiality constraints. For the current product boundary, read Import and Export, Capabilities, and Engagement Process.