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AI & Data Engineering

The data foundations agents depend on.

Agents rely on the data and systems they can access. We modernise data platforms, build document-AI pipelines and set up the analytics and evaluation that make AI dependable.

Talk to usMeet us at ITIC Istanbul

claims-intake-agent · audit log

  1. INTAKEReceived invoice · Portuguese · PDF scan
  2. OCRDocument classified as hospital invoice
  3. TRANSLATELine items translated to English
  4. EXTRACTProvider, dates, line items, currency captured
  5. CHECKPolicy active · no duplicate found
  6. FLAGRoom charge above contracted rate, reason attached
  7. REVIEWAssigned to bill reviewer for confirmation
  8. DONEDecision-ready claim · full audit trail
Illustrative audit log

Overview

Getting your data ready for AI

Most AI projects stall on data: documents that cannot be read, systems that cannot be queried, and no way to tell whether a model is getting better or worse.

We fix the foundations first. Then we build evaluation pipelines that test every agent against your own anonymised history before it reaches production.

Capabilities

What we deliver

  • Data modernisation

    Move from spreadsheets and legacy stores to governed, queryable data platforms.

  • Document AI & OCR

    Classification, extraction and translation pipelines for invoices, reports and forms.

  • Analytics & BI

    Operational dashboards and reporting your teams actually use.

  • Machine learning

    Predictive models for triage, routing and risk that can explain their results.

  • Data governance

    Ownership, lineage, access control and retention, designed in.

  • AI evaluation

    Test sets from your own anonymised history, run before every release.

How it works

How we work

  1. 01

    Assess

    Map sources, quality and the decisions the data needs to support.

  2. 02

    Build

    Pipelines, models and platforms delivered in small, testable increments.

  3. 03

    Evaluate

    Measure quality against agreed test sets before anything goes live.

  4. 04

    Hand over or run

    We train your team, or operate it for you.

FAQ

Questions about AI & data engineering

Do we need a data platform before we build agents?

Not always. Many agents can start with the systems you already have. We assess what is needed for the workflow you want to automate and build only that.

Which models do you use?

We are model-agnostic and choose models per task, considering quality, cost, latency and where the data is allowed to go.

Related

Next step

Talk to our team

Book a meeting at ITICAll solutions

Sthiram · Efficiency with stability