LTK Soft

BUILD

Data Engineering & Integration The foundation every successful AI project stands on.

AI is only as good as the data underneath it. We build the pipelines, warehouses, and document-processing foundations that make AI projects succeed — with security and compliance designed in.

How it runs

  1. 01Assess
  2. 02Design
  3. 03Build
  4. 04Hand over or operate

01The problem

Most AI Projects Don't Fail at the Model. They Fail at the Data.

The data an AI system needs is usually scattered across legacy databases, SaaS tools, spreadsheets, shared drives, and decades of scanned documents. It's inconsistent, duplicated, and often full of sensitive information that can't simply be copied somewhere new.

Teams that skip this work end up with AI that gives confident but wrong answers, pipelines that break every time a source system changes, and compliance questions nobody can answer.

We build the foundation first — clean, governed, well-documented data that your AI, analytics, and reporting can all rely on.

02How it works

How It Works

  1. 01

    Assess

    We map your data sources, quality issues, volumes, and sensitive fields, and agree the target use cases — AI, analytics, or both.

  2. 02

    Design

    We design the target architecture: ingestion, storage, transformation, access control, retention, and lineage.

  3. 03

    Build

    We deliver pipelines and models in short iterations, with automated tests and data-quality checks at every step.

  4. 04

    Hand over or operate

    Full documentation and runbooks for your team — or ongoing monitoring and support from ours.

03Deliverables

What We Build

  • Data pipelines and ETL/ELT (batch and streaming)
  • Warehouses and lakehouses on AWS, Azure, or Google Cloud
  • Document processing at scale: OCR, extraction, classification — the feedstock for RAG
  • Data quality, deduplication, and master-data cleanup
  • Compliance-aware design: PHI/CJI segregation, encryption, retention, audit trails
  • Integration with the business systems you already run

04Who it's for

Organizations with an AI or analytics initiative held back by messy data, siloed systems, or document archives that aren't machine-readable yet — from fast-growing companies to large enterprises and public agencies, especially in insurance, financial services, healthcare, legal, and public safety.

05Why LTK Soft

  • 01We fix the data first — or tell you honestly that you're not ready yet.
  • 02Compliance-aware data architecture: PHI/CJI segregation, encryption, retention, and audit trails designed in from day one.
  • 03AWS Partner Network member — and equally at home on Microsoft Azure and Google Cloud.
  • 04Experience with large data volumes, from insurance claims documents to market-data platforms.
  • 05Your data stays in your own cloud account, under your control.

06Engagement

How engagements work

How it's scoped

Fixed-scope phases or a dedicated team

Scoped after a free call about your data sources and goals. Often combined with an AI build or a readiness assessment.

Request a proposal →

07FAQ

Questions we hear most

Not always. Some AI use cases — like a knowledge assistant over your documents — can start with well-processed document stores. We'll recommend the smallest foundation that supports your goals.

Yes. We integrate with what you already run and only recommend replacing systems when there's a clear benefit.

Sensitive fields are identified early, segregated, encrypted, and access-controlled. Retention and audit trails are part of the design, not an afterthought.

AWS, Microsoft Azure, and Google Cloud, as well as on-premise systems. We usually recommend building on the platform you already use, so the data foundation fits your existing security controls and team skills.

Talk Through Your Data Foundation

We'll assess whether your data is AI-ready — or what needs to happen first.