Skip to content
EREBUNITECHNOLOGIES

Service

Data and machine learning platforms

AI is only as good as the data behind it. We build the pipelines, storage and machine learning infrastructure that turn scattered data into dependable inputs for analytics and AI features.

The result is data your team can trust and reuse, rather than one-off scripts for each project.

Where it helps

  • Preparing company documents for search and AI assistants
  • Consolidating data from several systems into one warehouse
  • Building training datasets and evaluation sets for models
  • Forecasting and classification models in production

What we build

  • Data pipelines

    Reliable ingestion and transformation from your systems and third-party sources.

  • Vector databases and search

    Embedding pipelines and vector search with PostgreSQL (pgvector) and managed services.

  • Fine-tuning

    Adapting models to your domain when prompting and retrieval are not enough.

  • Feature and training platforms

    Reusable features, datasets and training workflows for machine learning teams.

  • Data quality and governance

    Validation, lineage and access controls so data stays correct and compliant.

How we deliver

  1. 01

    Discover

    We map your workflows, data and constraints to find the highest-leverage AI opportunities.

  2. 02

    Prototype

    Within weeks you get a working prototype tested against real data and a clear evaluation baseline.

  3. 03

    Engineer

    We harden the system: security, evals, observability and a UX your team actually wants to use.

  4. 04

    Scale

    We ship to production, monitor quality and costs, and keep improving as models evolve.

Data & ML Platforms: common questions

Do we need a data platform before starting with AI?

Not always. Many projects start with a focused pipeline for one use case, then grow into a shared platform as more use cases appear.

When is fine-tuning worth it?

When a model must follow a specialised format, vocabulary or style consistently and retrieval or prompting can't get there. We test the cheaper options first.

Can our data stay in Canada?

Yes. We can design storage and processing in Canadian cloud regions when data residency is required.

Let's talk about data & ml platforms

Tell us what you want to build. We reply within one business day with honest advice and next steps.