The data foundation accelerator that delivers GenAI insights in 2 weeks
LakeStack deploys inside your AWS account using a proven AWS native blueprint with built in governance and standardized ingestion. No fragile DIY builds. No tool sprawl.
Decisions should not wait on broken data
Most organizations already have the data they need. What slows them down is fragmented systems, manual reconciliation, and unclear ownership before insights can be trusted.
Data teams are stretched thin, pipelines struggle to scale, and AI ambitions stall because data isn’t ready when decisions need to be made.
When data is unified inside your AWS account with standardized ingestion, governance, and clear ownership, teams operate with confidence.
The fastest way to turn fragmented data into trusted answers
LakeStack deploys a proven AWS native blueprint inside your account to unify, govern, and activate your data without a risky custom build.
Connects to your source systems and handles ingestion automatically inside your AWS environment, without custom engineering work.
- Data unified in an Amazon S3 lakehouse
- No Spark, Python, or ETL pipelines
Prepares data for analytics and AI by automating modeling, governance, and optimization using AWS-native services.
- Automated lakehouse modeling
- Decision-ready, governed data
Enables secure, natural language interaction on governed data so users get insights without technical barriers.
- Natural language queries
- Automatic access controls
Bring all your systems together without rebuilding pipelines
LakeStack connects your operational, enterprise, and cloud systems using standardized AWS native ingestion patterns. Data flows into a governed foundation inside your AWS account, without a custom integration project each time you add a new source.
One platform. Built to scale from data to decisions.
A modern data stack, without the overhead
Engineering cost saved
Less time spent managing custom builds
Time to insight and action
Your enterprise-grade data platform owned, not rented.
LakeStack deploys a governed, AI ready data foundation directly inside your AWS account. You pay a one time implementation fee and retain full ownership of your infrastructure, data, and cost model. No recurring platform lock in. No usage based surprises.
- No per user, per query, or consumption pricing
- Deployed inside your AWS account with full data ownership
- Predictable costs aligned to long-term data strategy
- Clear ROI before expanding scope
Proven business impact
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
Our data lakehouse centralized Kior Healthcare’s fragmented clinical systems, harmonizing lab results, ERP data, bookings, imaging reports, PDFs, and clinician notes into a governed, No-Code, AWS-Native Data Warehouse.
reduction in manual data prep and file processing
faster clinician and operational visibility
Frequently asked questions
Owning your data foundation gives you full control over infrastructure, governance, and cost structure. LakeStack deploys directly inside your AWS account, so your data never lives in a vendor controlled runtime. This approach aligns with long term data strategy, compliance requirements, and enterprise governance without recurring platform lock in.
LakeStack uses a one time implementation model with predictable support, rather than per user or per query pricing. Because it runs inside your AWS account, costs are predictable and aligned to your architecture and growth plans, not daily usage spikes. This makes financial planning easier for leadership teams. View pricing details or speak with our team to model costs for your environment.
LakeStack reduces vendor dependency by deploying within your AWS environment using proven architectural patterns. You retain data ownership, security controls, and audit visibility. There is no proprietary data layer or black box runtime that limits flexibility in the future.
Standard deployments begin by connecting priority systems and delivering a governed dashboard pack within weeks. Instead of waiting for a multi year platform program, you see measurable outcomes early. Scope is defined upfront to ensure clear time to value.
No. LakeStack is designed for organizations that want enterprise grade data capabilities without expanding engineering headcount. The blueprint, automation, and delivery runbook reduce custom build work, so your teams focus on insights instead of pipeline maintenance.
Engagements begin with defined scope, architecture clarity, and cost visibility. You see how the foundation operates inside your AWS account and validate outcomes before expanding domains or environments. This approach reduces executive uncertainty and avoids open ended platform investments.
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.
Your AI roadmap can’t wait another year
