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
LakeStack unified AFG.Tech’s CRM, workshop, and invoicing data into a governed, no-code warehouse, delivering automated reporting, real-time dashboards, and instant NLQ insights across all dealerships, without engineering lift.
engineering effort avoided
reduction in reporting time
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
