Document AI

Structured data from unstructured documents. We pull the key facts out of PDFs, forms, and contracts and hand them to your systems, clean and ready to use.

Every value is backed by its source, down to the page, and every field stays correctable. What used to take hours of manual screening happens in minutes.

TRUSTED BY TEAMS AT:

  • Deutsche Telekom logo: white stylised letter T on a magenta background
  • Uniper logo in blue, showing the word "uniper" split across two lines.
  • GOLDBECK logo in bold black uppercase letters on a white background
  • PwC logo featuring the lowercase letters "pwc" in black with two orange diagonal shapes above
  • Vattenfall logo with the name in dark grey bold letters and a circle split into yellow upper half and blue lower half on the right
  • Schwarz-produktion logo on a white background reading “SCHWARZ PRODUKTION” in white text inside a dark blue square.
  • Cornelsen logo — white bold wordmark on a red background
  • Meridiam logo with tagline "for people and the planet" in dark green on a white background.

What exactly is
Document AI?

Document AI turns documents that only humans can read today into data your systems can work with. It pulls the key facts out of PDFs and Word files, backs every value with its source down to the page, lets any field be corrected, and judges its own confidence as it goes.

Screening a document that once took hours now takes minutes. The same approach extends to contracts, for analysis, comparison, and search across a whole portfolio.

Data extraction from documents

Invoices, forms, and contracts are read in a structured way, capturing layout, tables, and recurring fields, then handed to your business systems as clean data. The key facts come straight out of PDFs and Word files, every value backed down to the page.

Five people seated around a white table engaged in a collaborative meeting; a man in a yellow t-shirt gestures while speaking to a woman near a laptop with a red panda sticker, while another man in a blue shirt smiles nearby.

Effort estimates per requirement

For every requirement in a tender, the system proposes an effort in person-days. Each proposal comes with a confidence indicator and a source citation down to the sheet and row. The result goes back to your team as an Excel file.

A group of six colleagues working collaboratively on laptops while seated in a casual circle of armchairs and a sofa in a bright room.

Contract analysis and comparison

Contracts are analysed and compared across a portfolio, with the data extracted automatically. The system tells a real legal problem apart from a simple inconsistency between two documents.

Two men seated on a teal sofa engaged in a conversation. The man on the left wears a black t-shirt with a laptop on his lap, while the man on the right, with red hair and a beard, wears a grey t-shirt. A small wooden table with a green vase holding a white flower sits in front of them.

Benefits of an iits AI Team

AI is only worth it once it's doing real work, safely, inside the systems you already run. Here's what you get when you build it with us.

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  • Insights from academia and industryJoint research with TU Dortmund and Fraunhofer IML, with delivered work behind it.
  • Understanding, not voodooWe take you to the right solution step by step, with nothing left to magic.
  • Fits your cloudRobust, lasting solutions that slot into the cloud infrastructure you already run.
  • You stay in controlModern interfaces give you a clear view of what the AI is doing, and the controls to steer it.
  • Transparent metricsHonest numbers on how our models perform, so nothing is taken on faith.

How we open up your documents

  1. Step 01

    Clarifying documents and fields

    We look at your document types and agree which fields should come out, and how a match is evidenced.

  2. Step 02

    Building the extraction

    Layout, tables, and recurring fields are read out in a structured way, with every value referenced back to its place in the source.

  3. Step 03

    Building in the review

    Uncertain extractions are flagged for review, and every field stays correctable before the data moves on.

  4. Step 04

    Connecting and operating

    The reviewed data flows into your business systems. We run the pipeline and keep watch on the quality of the extraction.

Areas we support in

Document AI pays off wherever documents pile up and the details inside them matter. Here are a few areas where we put it to work.

Legal

Contract analysis and comparison across large portfolios, telling real issues apart from noise.

Retail

Shelf and image recognition in store operations.

Waste & Recycling

Contaminant detection on sorting lines.

Telecommunications

Tender and documentation screening across large rollouts, with the key facts pulled out automatically.

IITS convinced us from the very beginning of the development of our contract management system with high subject‑matter expertise and a deep understanding of our processes. Through targeted questioning and the commitment to developing not just a solution, but the best possible solution, a product with very significant added value was created. The collaboration was always trusting, efficient, and characterized by excellent exchange between the executive management and the development team.
Deutsche Telekom logo — white stylized letter T with square cutouts on a magenta backgroundTim SchnabelProject Manager · Telekom Deutschland GmbH

What we build with.

The stack these systems run on with us.

RETRIEVAL
  • pgvector
  • Qdrant
  • RAG
MODELS
  • Anthropic
  • OpenAI
  • Azure OpenAI
  • Amazon Bedrock
OPERATIONS & OBSERVABILITY
  • LangFuse
  • Kubernetes

Let's talk about your documents.

Start with a no-obligation project inquiry, and our AI team will show you what's possible with the documents you're buried in.

AVG. RESPONSE < 1 BUSINESS DAY