Aqfer

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AI Innovations

Drive AI Performance with the Data You Already Own

Our approach to AI rests on a simple premise: it is only as good as the data and the context it runs on. AI data readiness is the step that comes before AI adoption, and we work with the people at marketing service providers who are asked to make AI work inside today's enterprises.

The shape of it

Three layers of AI enablement

We deliver the structured context that models and agents need to perform, fast and secure, and aligned with the cloud you already run.

01

Layer 1 | Data Enablement

Make data AI-accessible with Zero Copy RAG that reads directly from the leading cloud providers. Sub-second performance, no duplication, and full governance.

02

Layer 2 | Data Discovery

Use our Model Context Protocol to standardise how agents interact with data. Governed, token-optimized, and interoperable with your AI ecosystem.

03

Layer 3 | Data Utility

The tools that sit on top: onboarding, natural-language analytics, data marts and custom agents. The five below are what that layer gives you.

What it does

Five ways it shows up

Map My Data

AI-powered data onboarding

What it does
Let AI automate the hardest part of data ingestion. The platform analyses your source data and generates the ingestion jobs needed. What used to take weeks or months of engineering time can be done in days.
Key benefits
Onboard data 10x faster
Free up engineering resources
Empower marketers to ingest their own sources

Talk to My Data

Natural language analytics

What it does
Ask marketing questions in plain English and get answers in real time. The tool reads the question, converts it into an optimized database query and returns the result in a form anyone can read.
Key benefits
Self-service analytics for non-technical teams
Reduce analyst bottlenecks
Faster decision-making for more people

Data Mart Materialization Assistant

On-demand analytical views

What it does
Describe what you want to analyse. The assistant recommends and creates the data mart structure for it, and the result works with Talk to My Data for near-instant insight.
Key benefits
Move quickly from idea to insights
No ETL expertise required
Optimized for Talk to My Data

Model Context Protocol server

Build custom AI agents

What it does
The MCP server is a standard way for AI agents to talk to every Aqfer solution, so your teams can build their own AI applications against your marketing data.
Key benefits
No lock-in
AI tailored to your use cases
Standards-based integration

Zero-Copy Customer Data RAG

No migration, full context, instant access

What it does
Zero-Copy Customer Data RAG gives AI tools direct access to structured marketing data without replicating it. It lifts accuracy, shortens time to value and takes the migration risk out.
Key benefits
5x faster AI deployment
Access 100% of relevant customer data
Cut infrastructure costs by up to 70%

Why Aqfer

Most organisations assume AI can work with the data stack they already have

  • It cannot. Aqfer bridges the gap between messy, siloed data and the AI tools that need context to work.
  • We do not build agents. We make them smarter.
  • The platform is the connective tissue between models, agents, and real, compliant, marketing-ready data.

Put your data to work for AI

Tell us what you are building and we will show you what the data layer underneath it has to do.