Build AI-ready data

Your entire data foundation, deployed in your AWS account in weeks

LakeStack replaces months of pipeline engineering and fragmented tools, so your teams can trust data and move faster on AI innovation.

No tool sprawl
Zero vendor lock-in
Pipelines, automated
Real-time insights
Governance, built in
Self-service analytics
Petabyte scalability
Instant compliance
Own your data
Powered by Applify, building enterprise-grade data and AI solutions since 2014
Why LakeStack

Launch faster. Spend less. Trust your data.

13x
faster deployment

Go live in 2 weeks, not months

1,800+
hours saved

With automated self-healing pipelines

<10 sec
latency

End-to-end real-time data processing

<6
months payback

ROI realized fast

See ROI breakdown
All your data, in one place

Connect every source without building pipelines

See supported sources

LakeStack brings data from SaaS applications, databases, and operational systems into a single, governed foundation, so you don’t have to manage connectors, pipelines, or sync issues across tools.

Case studies

From fragmented data pipelines to governed data foundations

Data problems look different across every industry. The results with LakeStack don't.

About Client
AFG.tech operates a multi-location dealership platform, with core data spread across CRM, workshop, and invoicing systems.
As the platform scaled, data remained siloed and inconsistently structured. Reporting depended on manual effort and custom pipelines, making it difficult to get a reliable, real-time view of operations across dealerships.
9-12
months of engineering effort avoided.
80%
reduction in ingestion and reporting workload.
AFG.tech replaced fragmented, pipeline-heavy data workflows with a unified, governed lakehouse, enabling real-time access to consistent, query-ready data across all dealerships.
View case study
About Client
Kior Healthcare operates across multiple clinical systems, with data spread across lab systems, ERP, bookings, imaging, and unstructured sources like PDFs and clinician notes.
As data volume and formats grew, teams relied on manual data preparation and file handling, making it difficult to access timely, reliable information for both clinical and operational decisions.
80%
reduction in manual data prep and file processing
70%
faster clinician and operational visibility
KIOR Healthcare logo with stylized letters and circular design elements in light blue.
Kior Healthcare replaced fragmented, file-heavy data workflows with a unified, governed lakehouse, bringing structured and unstructured clinical data into a single, query-ready foundation.
View case study

Built on AWS. Owned by You.

See how it works on AWS

Applify, the team behind this data foundation platform, built LakeStack as a true AWS-native data foundation that lives entirely inside your AWS account, not as a separate SaaS layer.

  • Run AI on production data
  • Enforce fine-grained governance
  • Keep full data control
  • Scale without pipeline failures
  • Query with any engine
  • Track lineage in real time
  • Classify sensitive data automatically
  • Activate AWS commitments

See how LakeStack fits into your data architecture

Explore how LakeStack can help your team centralize, govern, and activate data on AWS while accelerating production-grade analytics and AI initiatives.