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idxSoftware
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The raw material AI runs on

Data and systems integration

Reliable pipelines, ERP and CRM integration, zero-downtime migrations and analytics. The foundation any serious AI work stands on.

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Almost every AI project that stalls, stalls on data: it lives in three systems that don't talk, nobody knows which copy is authoritative, and half of it is in spreadsheets. That unglamorous work is exactly what has to happen first, and it's what we do here.

What we do

  • Systems integration

    Connectors between ERP, CRM, billing, point of sale and whatever else you run, with retries, idempotency and visibility into every message.

  • Pipelines and ingestion

    Batch and streaming with quality validation, lineage, and alerts when a source stops sending — before the business notices.

  • Migrations

    Database, cloud or vendor, in phases and with dual writes so you can roll back if something goes wrong.

  • Modeling and warehouse

    Dimensional models or a lakehouse depending on the case, with transformations versioned and tested like any other code.

  • Analytics and dashboards

    Metrics defined once, and dashboards leadership actually opens — not the ones built for the quarterly meeting.

  • AI-ready data

    Cleaning, deduplication, enrichment and cataloguing — the prerequisite step for any RAG or agent project.

What you end up with

  • One trustworthy version of your key data
  • Observable integrations with retries and alerts
  • Versioned, tested transformations
  • A catalogue that says where every number came from

What we use

  • PostgreSQL
  • MongoDB
  • Kafka
  • Airflow
  • dbt
  • Python
  • OpenSearch
  • AWS Glue

FAQ

Our ERP is old and has no API. Is it doable?

Almost always yes: database replicas, change data capture, file drops or UI automation. We assess it in discovery and tell you honestly how ugly it is.

Do we have to migrate everything to the cloud?

No. Plenty of clients stay hybrid for years and it works fine. We migrate what's worth migrating.

Is this a prerequisite for AI?

For anything serious, yes. An agent pointed at bad data produces bad answers very confidently, which is worse than not having it.

Tell us what you want to build

Thirty minutes, no slide deck. We leave the call with a clear read on scope and on whether we're the right team.

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