Make your business data GenAI-ready in days.
Stop burning your time and budget building data foundations from scratch. LakeStack deploys directly inside your AWS account. Fully AWS-native, no-code, and ready out-of-the-box.
Most AI initiatives fail because data isn’t ready
Data teams are overloaded, pipelines can’t keep up, and legacy systems slow everything down. The result? Months of engineering work before a single AI use case can go live.
- 64% of organizations say data teams spend over half their time on manual tasks.
- 72% of organizations will abandon AI projects due to lack of data-readiness.
- 81% of U.S. based Chief Data Officers say accelerating AI is their top priority.
- 89% of organizations report their data-engineering tools can’t scale pipelines.
Why waste months building when LakeStack comes pre-built
Instead of assembling tools, you get a pre-packaged data lakehouse platform. Automated ingestion, governance, and AI-readiness built-in from day one.
Fix the data bottlenecks that slow every AI initiative
LakeStack prepares your data: harmonized, governed, inside your AWS account. LakeStackAI unlocks it: ask questions, generate reports, trigger actions, model scenarios.
- Connect any data source, any format
- Automatically classify and validate data at the point of ingestion
- Enforce schema, quality, and governance policies upfront
- Clean, transform, and map data into consistent business models
- Maintain end-to-end lineage and audit trails
- Store securely with automated tagging, cataloging, and metadata
- Access pre-built QuickSight dashboards and curated datasets
- Search and explore harmonized data instantly
- Unlock out-of-the-box KPIs for faster insight discovery
- Manage the entire data lifecycle from one console
- Automate pipelines, catalogs, and quality checks
- Reduce manual engineering overhead and DevOps dependency
- Natural-language queries converted into precise data instructions
- Surface trends, root causes, and correlations instantly
- Combine datasets for deeper analytical context
- Create tasks, tickets, or workflows from any insight
- Trigger AWS services and business processes in real time
- Configure alerts for thresholds and key metrics
- Auto-create reports, QBR decks, summaries, and documentation
- Draft emails, updates, and narratives based on live data
- Reduce manual reporting cycles across teams
- Search structured and unstructured data in one place
- Retrieve documents, PDFs, logs, and emails
- Use semantic search to find meaning, not keywords
- Run predictive queries and scenario simulations
- Evaluate “what-if” models for planning
- Get AI-driven recommendations for faster decisions
- Runs entirely within your AWS environment
- No third-party data movement or external storage
- Full visibility and control over all data and resources
- Billed directly through your AWS subscription
- Easy procurement and centralized cost management
- Eligible for AWS funding programs (MAP, CE, POC credits)
- Complete CloudTrail audit logging
- IAM-based access control and permission models
- Encryption at rest and in transit with AWS KMS
- Pre-mapped to standards like SOC 2, HIPAA, GDPR
- Automated lineage, audit reporting, and governance controls
- Built-in masking, anonymization, and data-handling best practices
Year-one value with LakeStack
The clear choice for data lakehouse on AWS
Case Study
A leading SaaS provider for automotive showrooms successfully transformed its data landscape, achieving centralized data, automated insights, and advanced AI/ML-driven predictions across its extensive network of locations.
savings on infrastructure investments
acceleration in violation processing
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.
.png)
Your AI roadmap can’t wait another year
