The platform behind the products

Agentic AI services that turn any source data into a standard, structured output.

attainai provides a microservices layer of agentic AI services. They gather data from APIs, documents, PDF, CSV, XLSX and HTML, clean it, learn from it, map it to a standard structure and transform it into the output schema and format each solution needs.

The building blocks

Six services, each an agent with a single job. Solutions use the blocks they need.

  1. Ingestion agents

    Agentic services that gather data from wherever it lives, structured or not, including text and tables inside documents and web pages.

    In: API · document · PDF · CSV · XLSX · HTML text & tables

  2. Format handling & cleansing

    Recognise each source format, normalise it and apply cleansing so every record reaches the next stage in a consistent shape.

    Out: cleaned, normalised records

  3. Learning capability

    Services learn from the data they process, so recognition and mapping improve with each new source and each run.

    Feeds: the learning library

  4. CSV output & indexing

    Cleaned data is written to CSV, then converted into Lucene and Solr documents that are searchable and ready for mapping.

    Out: CSV → Lucene / Solr documents

  5. Taxonomy, learning library & data structure

    The indexed documents build a taxonomy, a learning library and a data structure that map every source into one standard format.

    Out: data in the standard format

  6. Output transformation

    Standardised data is transformed into the output schema and format each solution or client requires.

    Out: target schema & format

How data flows through the platform

From raw source to delivered output, every step is handled by a service in the layer.

  1. GatherAPI, docs, PDF, CSV, XLSX, HTML
  2. CleanFormats handled, cleansing applied
  3. LearnLearning capability
  4. IndexCSV → Lucene & Solr
  5. MapTaxonomy to standard format
  6. TransformOutput schema & format

AI-driven. Rules-based.

Every service combines both. AI handles the variety in source data and learns as it goes; rules make every output consistent and repeatable.

AI-driven

Agents read unstructured and semi-structured sources, recognise formats and build a learning library that improves mapping over time.

Rules-based

Cleansing, taxonomy mapping and output transformation follow defined rules, so the same input always produces the same standard output.

Contact

Phone

01942 247884

Email

info@attainai.io

Office

Office G25, Wigan Investment Centre
Waterside Drive
Wigan
WN3 5BA