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For owners of data and information products

Keep the data behind your product useful.

Indext builds and improves the collection, refresh, validation, and delivery workflows your customers depend on. Start with the part that limits your product today.

Start with a free initial consultation. Engineering work is scoped and priced separately.

Indext · Software, data, and AI engineering

Where we can help

The product works. Its data needs attention.

  1. Customers find outdated records

    You need a repeatable refresh process and a way to see what is current, missing, or overdue.

  2. More sources create more manual work

    New coverage brings duplicates, incompatible formats, and matching decisions your team handles by hand.

  3. A new feature depends on better data

    Search, enrichment, or a customer-facing API needs a dependable path from source to product.

The work

Design around what your users need to trust.

We connect the engineering work to the product: which records matter, how fresh they must be, and what happens when a source changes.

  • Collection and refresh workflows for agreed sources.
  • Normalization, matching, and deduplication rules.
  • Quality checks, exception handling, and operational visibility.
  • Delivery into your database, API, or product workflow.

Published engineering case

From scattered sources to a repeatable dataset

Our telecom infrastructure mapping case describes collecting information from multiple sources, normalizing it, and refreshing the dataset. It shows the engineering behind repeated collection, beyond a one-time data export.

Read the infrastructure mapping case ↗
Inside the workflow
  1. Collect source data
  2. Normalize records
  3. Refresh the dataset

How work starts

Pick one workflow and define what better means.

  1. Show the product and the problem

    Share a sample input, the current output, and the user experience affected by missing, late, or inconsistent data.

  2. Agree the first paid stage

    We define the sources, access, quality checks, delivery format, and acceptance criteria before pricing the work.

  3. Put the workflow into use

    Review the output, integrate it with the product, and agree who monitors changes and handles exceptions.

Before we start

Can you improve an existing pipeline?

Yes. We can work on a defined part of your current workflow after reviewing its code, inputs, and dependencies.

What if a source changes?

We plan checks and an exception path around the agreed sources. Refresh frequency and ongoing maintenance are part of the scope discussion.

Can you collect any data we need?

We first check source access, permitted use, and technical feasibility. Those constraints shape the proposed workflow.

How is the work priced?

Pricing depends on sources, transformation rules, integration, and operating requirements. We agree the first paid stage before implementation.

What needs to improve in your product's data?

Start with a free presales consultation. If there is a fit, we will define and price the first engineering stage.

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