NederlandsGet your data connected,
Be AI-ready.
An iPaaS layer that orchestrates every system you already use — and a governed data foundation that AI, ML and agents can run against, end to end.
How Kodify connects your stack to an AI & ML Ready IT landscape
An integration layer (ESB / iPaaS) on top of your existing systems, feeding a streaming center and AI-ready data warehouse — so models, agents and apps stay in lockstep with the business.
Trusted by mid-market to enterprise — across healthcare, retail, logistics & government
Connect your existing stack — never rebuild it.
Our integration philosophy: never develop something when proven software already exists. We connect ERP, CRM, PIM and WMS — and make their data usable for AI workloads.
Bi-directional sync of orders, invoices and stock. Native batch + webhook.
Learn more →Full GetConnector / UpdateConnector library — finance, HR, payroll.
Learn more →OData v4 + IDoc gateways. Mass-load, delta and event-driven flows.
Learn more →Business Central API v2 — items, customers, orders, GL.
Learn more →REST/SOAP + Bulk API. Streaming events into your data platform.
Learn more →Customer 360, opportunity pipelines and document objects synced.
Learn more →Orders, catalogues and customers — webhook-first, idempotent.
Learn more →Channel-aware product feeds with locale, asset and family routing.
Learn more →SCIM provisioning, SAML/OIDC SSO and group-driven access rules.
Learn more →Tickets, CMDB and approvals integrated with your AI agents.
Learn more →Payments, refunds and reconciliation pushed into your ERP.
Learn more →Conditional access, lifecycle workflows and AAD groups, in sync.
Learn more →One platform for integrations and AI workloads
An AI-ready data platform isn't just more tooling on top of your stack. It's a platform built to run AI workloads safely, repeatably, and at scale — from experiment to production.
Any system, any process
From legacy SOAP to event streams — orchestrate cross-system processes without bespoke point-to-point code.
- 80+ pre-built connectors
- Reusable Kodify Integration Library
- Versioned, idempotent flows
AI-ready data pipelines
Beyond ETL: governed pipelines that feed embeddings, vector stores, model features and prompt context.
- Structured + unstructured
- Embeddings & vector indexes
- Feature stores & model registry
Enterprise governance
The kind your IT and Security departments love — fine-grained access, lineage and full audit trail.
- Lineage & auditability
- PII redaction & masking
- ISO 27001-aligned deployment
Traditional data platform vs. AI-ready data platform
A traditional platform powers BI well. AI brings different data types, heavier governance and a sharper experiment-to-production gap. Here's where the two diverge.
Optimised for reporting & dashboards
Built for experiments, ML and GenAI
What changes when your platform goes AI-ready
Three places where a traditional data platform and an AI-ready data platform diverge — and how Kodify closes the gap.
Beyond rows and columns
Traditional platforms are tuned for tables — transactions, customers, orders. GenAI works with unstructured sources, embeddings and vector indexes; ML wants training data, features and model artefacts versioned alongside.
- Lakehouse-grade storage for structured + unstructured data
- Vector indexes for semantic retrieval
- Feature stores and model artefact versioning
Fine-grained, explainable, controllable
When models answer using company data, you need to know which documents they touched, who could see them, and whether that respects the rules. Governance for AI goes beyond access — it has to be auditable.
- Document- and row-level access
- Lineage from source → embedding → answer
- Prompt & output logging with PII controls
Close the gap from notebook to production
Experiments are cheap, productionising AI is not. Training, evaluation, retrieval, prompt management and agent orchestration need first-class environments — with monitoring, cost controls and clean CI/CD.
- Experiment tracking & model registry
- Latency, error and cost dashboards
- CI/CD for prompts, retrievers and models
Is your data platform AI-ready?
Walk through these five questions with your data, security and platform leads. Wherever you land, we can help you take the next step — from architecture to operations.
Where are your AI workloads today?
+Is your data accessible to AI workloads?
+Can you work safely with sensitive data?
+Can you operationalise AI workloads?
+Can you scale AI initiatives?
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Never change a winning team. We don't replace your ERP — we connect it, govern it, and make its data ready for the AI models your business is starting to depend on.
Ready to embark on your AI journey?
30-minute intro with a senior integrations & data architect. No pitch deck — just a whiteboard and your current stack.