Turn your raw data into AI-ready insights, faster, smarter.

Bring structure to your data chaos and unlock insights without engineering overhead.

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Serving industry leaders since 2014

Choose your platform investment

Start with the data foundation you need today. Expand only as your scope grows.

Foundation

$45,000 (One-Time)

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What this investment delivers

Data ingestion pipelines

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Pipelines that bring data from source systems into the platform in a reliable and repeatable way.

Analytics ready data storage

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A centralized, queryable data layer designed for analytics and AI workloads.

Data preparation and modeling

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Standard transformations that clean, structure, and model raw data for reporting and analysis.

Data reliability controls

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Built in checks that help detect missing, late, or inconsistent data before it reaches users.

Data access and governance

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Controls to manage who can view, query, or work with datasets across the platform.

Analytics and reporting access

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Query access and starter dashboards to begin generating insights immediately.

Production analytics environment

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A live environment where analytics and reporting workloads run reliably.

Platform enablement and handover

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Documentation and guided walkthroughs so your team can operate and extend the platform confidently.

Best for starting

Growth

$75,000 (one time)

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Everything in Foundation, plus

Multi-domain data organization

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Logical separation of data by team or domain to support parallel ownership and analytics.

Advanced data preparation and enrichment

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More complex transformations and enrichment to support deeper analytical use cases.

Schema evolution management

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Handles structural data changes over time without breaking pipelines or reports.

Semantic layer for analytics and AI

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A business friendly layer that standardizes metrics and definitions across tools and teams.

Development and production environments

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Separate environments to safely test changes before they impact live analytics.

Best for scaling

Advanced

$110,000 (One-Time)

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Everything in Growth, plus

Enterprise scale data organization

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Supports large, multi-domain data platforms across teams and business units.

Governance and data lineage

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End-to-end visibility into data origins, transformations, and downstream usage.

Cross-domain analytics

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Analyze and combine data across domains without duplication or re-engineering.

AI-ready data products

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Curated datasets designed to support GenAI and machine learning workloads.

Platform optimization and tuning

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Ongoing performance and cost optimization built into the platform design.

Executive platform alignment

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Platform walkthroughs and alignment sessions for leadership and key stakeholders.

Best for optimizing

Managed data operations

$18,000/year (2nd year onwards)

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What managed data operations include

Platform reliability

ⓘ

Monitoring and break fix to keep pipelines and analytics running consistently.

System upgrades and compatibility

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Core system upgrades to ensure long term alignment with AWS services and tooling.

Performance and cost optimization

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Ongoing tuning to improve performance and control cloud costs as usage grows.

Schema and change management

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Safe handling of data structure changes without breaking downstream analytics.

Security and governance alignment

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Continuous alignment with AWS security and governance best practices.

Ongoing enablement

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Guidance and support as teams, data, and workloads expand.

Keeps your platform future-ready

Add on features

Expand only when your scope grows

Standard data source: $7,500

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Used for integrating commonly used systems with stable schemas.

Complex or custom data source: $12,000

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Used for non standard systems, custom schemas, or inconsistent data structures.

Real time or CDC pipeline, $15,000

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Used when data must be captured and processed continuously or near real time.

New data space: $10,000

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Used to introduce a new domain or team level data boundary with independent ownership.

Additional environment: $7,500

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Used when extra development, testing, or compliance driven environments are required.

Custom requirements

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Delivered via a three month Data Team Pod. Includes data engineering, analytics, and platform support capacity.

LakeStack add ons are applied only when your data sources, domains, or operational complexity increase. There are no bundled upgrades or forced expansions.

Your data investment with LakeStack

80%

Faster insights delivered

LakeStack accelerates data preparation and analytics, enabling business users to gain actionable insights and boost decision speed and competitive advantage.

70%

Less engineering effort

With its no-code platform, LakeStack reduces the need for heavy engineering involvement, freeing technical teams to focus on higher-value tasks and lowering project costs.

$60K-$100K

Yearly savings

By reducing engineering resources, shortening project timelines, and minimizing compliance risks, LakeStack enables organizations to save thousands of dollars annually.

Calculate ROI

Why LakeStack

Unified Lakehouse

Store all types of data in one place while enabling up to 80% faster analytics and insights.

Real outcomes

Achieve up to 70% less engineering effort, <4 weeks to full production, and $60K–100K annual savings compared to custom-built solutions.

Secure & governed

Fully deployed in your AWS account, ensuring 100% data control, compliance, and governance with built-in RBAC, lineage, and versioning.

Scalable

From 1 workspace to unlimited enterprise dashboards, LakeStack grows with your team and data.

AI-ready

Import, label, and categorize all file types, powering natural language dashboards and AI/ML workloads that accelerate decision-making.

Built by the “AWS Rising Star Partner of the Year”

With more than 12+ years of solving complex data problems. Our team has consistently delivered production-grade systems on AWS for enterprises across industries. We’ve taken that experience and engineered LakeStack, world’s first, AWS-native platform designed to simplify data readiness, accelerate AI adoption, and deliver measurable outcomes from day one.

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LakeStack, backed by a recognised AWS Partner featured globally, “Applify”

Your AI roadmap can’t wait another year

How much longer can your teams stay stuck in data cleanup while the business is demanding AI? How many more quarters will engineers burn on pipelines that never feel “done”? How long can you keep saying “we're working on the foundation” while competitors launch AI copilots that change the game? How many projects will stall because the data is still not ready, not trusted, not searchable? And how much longer can your team carry the weight of expectations without the platform they need? → It’s time for LakeStack.

Calculate ROI

See exactly how much value you unlock in year one.

Book a workshop

Bring your data team and leave with your AI roadmap.

Book a demo

See LakeStack running inside your AWS account.

LakeStack is an AWS native AI ready data foundation accelerator by Applify, “ an AWS Advanced Tier Services Partner and AWS Rising Star Partner of the Year, 2024”.

Platform

Data Discovery Workshop

Resources

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