Modernize your Data Infrastructure - and leaverage AI for True Competitive Advantage.

We partner with enterprises to prepare and upgrade their data platforms to leaverage AI operational capabilities that unlock financial performance.

End-to-end Data & AI services Platform Reengineering Streamline Enterprise AI Operations Reduce IT Costs
100+ Enterprise engagements
41% Avg. IT spend reduction delivered
2.2x Accelerated delivery of new features

Your portfolio's IT is a liability. We turn it into an asset.

KreskiTech deploys enterprise data solutions and AI into PE and VC portfolio companies — turning fragmented data into improved financial performance within the hold period.

Data Solutions for Enterprise AI

Prepare and Deploy AI where it moves the bottom line. Establish a single source of truth that drives faster decisions and lower running costs.

Analytics, Due Diligence & Exit Readiness

Assess data maturity pre-acquisition. Build the defensible data story that commands a premium at exit.

Address Technical Debt

Give operating partners real-time cross-portfolio visibility into performance, not another deck from the CFO.

Schedule a Portfolio Review

Our core capabilities

Everything you need to unify data, embed AI, and optimize enterprise operations — with a custom engagement model covering all disciplines.

01 / Platform

Data Platform Solutions

Lakehouse & cloud-native foundations
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Unified lakehouse and cloud-native data platforms that consolidate fragmented systems into one governed, scalable foundation.

02 / Insight

Data Analytics & BI

Dashboards, SQL, self-service
Data Analytics and BI icon

Self-service dashboards, embedded analytics, and SQL-powered reporting that give operators real-time visibility into performance.

03 / Trust

Governance & Compliance

Lineage, access, cataloging
Governance and Compliance icon

Data lineage, access controls, cataloging, and regulatory frameworks built into the architecture from day one.

04 / Engineering

Data Engineering Services

Pipelines, ETL, quality monitoring
Data Engineering Services icon

Batch and real-time pipelines, ETL modernization, schema evolution, and data quality monitoring at production scale.

05 / Intelligence

AI & Machine Learning

GenAI, MLOps, AI agents
AI and Machine Learning icon

Custom GenAI, MLOps, AI agents, and model fine-tuning deployed where they move the P&L — not where they make a good demo.

06 / Operations

IT Program Simplification

Consolidate, rationalize, reduce
IT Program Simplification icon

Consolidate redundant enterprise systems, reduce licensing complexity, and rationalize your IT estate into fewer, better platforms.

Data Engineering & Lakehouse

  • Design and manage batch & real-time data pipelines
  • Unified lakehouse architecture on your preferred cloud
  • Data quality monitoring and schema evolution
  • Legacy system migration and ETL modernization
  • Production-ready data for analytics and AI

AI & Machine Learning

  • Custom GenAI applications on your data
  • End-to-end MLOps — training, serving, monitoring
  • AI agent development and deployment
  • Model fine-tuning with enterprise governance
  • Experiment tracking and A/B testing frameworks
Production delivery Quality & governance Security-first

How we work

A straightforward engagement flow designed for fast time-to-value with minimal disruption to your operations.

Step 01

Discover & assess

We audit your current data landscape, operational systems, and organizational capabilities. Deliverables include a maturity assessment, architecture blueprint, and prioritized roadmap with clear ROI projections.

Step 02

Architect & design

Our architects design the target state — unified data platform, AI pipelines, enterprise operations integration — using open standards and your cloud. No vendor lock-in, no proprietary traps.

Step 03

Build & integrate

Agile delivery sprints bring the architecture to life. We integrate with your existing systems, migrate data, train models, configure workflows, and run parallel operations until cutover.

Step 04

Operate & optimize

Post-launch, our managed services team provides 24/7 monitoring, performance tuning, cost optimization, and continuous improvement — with transparent SLAs and monthly business reviews.

About us

A senior team of data engineers, architects, and strategists with deep experience across regulated and asset-intensive industries.

250 Professionals
1,000+ Certifications
35 yrs Combined executive experience

Our Offices

Tirana Kompleksi Kika, 5/35
Chicago S Indiana Ave, Chicago, IL 60605, USA

Certified across the modern data stack

Microsoft Azure
AWS
Google Cloud
Databricks
Snowflake
MongoDB
Confluent
dbt Labs
Fivetran
Tableau
HashiCorp
Docker
Datadog
Elastic
Redis
Kubernetes
Apache Spark
Airbyte

What our customers say

Trusted by enterprises across regulated and asset-intensive industries.

KreskiTech unified 14 siloed data systems into a single platform in under 6 months. Our unplanned outages dropped by a third within the first year.
Thomas Brandt
VP Operations, European Grid Operator
Their managed AI service gave us production-grade models without building a data science team. The ROI was measurable within the first quarter.
Ayesha Malik
CDO, Global Manufacturing Group
They understood our regulated environment immediately. Compliance and governance weren't afterthoughts — they were built into the architecture from day one.
James Harrington
CIO, Aerospace & Defence Contractor

Let's build your data & operations advantage together.

Tell us about your data challenges, the systems you're running, and what "done" looks like. We'll reply with a clear next step.

Frequently asked

Common questions from prospects and customers.

End-to-end data engineering, AI/ML development and deployment, analytics and BI, data governance, ERP and enterprise operations management, asset management, field service optimization, and fully managed cloud platform services.
Yes — legacy modernization, data migration, ERP re-implementation, and API integration are core to what we do. We assess your current state and build a transition plan that minimizes disruption.
Yes — 24/7 managed operations including platform monitoring, performance tuning, cost optimization, security management, and continuous improvement with transparent SLAs and monthly business reviews.
Security-first approach. We specialize in regulated industries and build governance, access controls, data lineage, and compliance requirements into the architecture from day one. We support GDPR, SOX, HIPAA, and defense-grade classifications.
Assessments run 2–4 weeks. Implementation projects range from 3–12 months depending on scope. Managed services are ongoing. We also offer fractional CTO and Chief Data Officer advisory engagements.
We are cloud-agnostic and work across AWS, Azure, and GCP. Our architectures use open standards and formats to avoid proprietary lock-in, giving you full portability and flexibility.