A secure data foundation for the public sector
Unify decades of mainframe, ERP, and departmental data into one governed, auditable lake that runs entirely inside your own AWS GovCloud account — every access logged, every dataset traceable, no large engineering team required.
What slows government & public sector down
Every concern below maps to a specific Autolake capability — not a roadmap promise.
Decades of siloed systems
Legacy mainframes, COBOL extracts, and departmental databases rarely talk to each other, blocking the cross-program view leaders and oversight bodies need.
Autonomous Ingestion connects mainframe, Oracle, and modern SaaS sources alike and lands them in one catalogued lake — with schema evolution that keeps brittle legacy feeds flowing as they change.
Autonomous Ingestion + Schema EvolutionCompliance that has to be provable
FedRAMP, CJIS, and records-retention mandates demand governance, encryption, and auditability that ad-hoc pipelines simply can't guarantee — or document.
Autolake runs inside your own AWS GovCloud boundary, so data never leaves your control. Fine-grained access, masking, and retention are enforced at the lake level and every access and transform is logged for audit.
Runs in your GovCloud accountPressure to do more with less
Shrinking budgets and hiring freezes mean agencies can't staff a large data-engineering team to wire it all together and keep it running.
Autonomous, no-code ingestion and cataloging stand up a working data lake in days, then self-heal and auto-scale — Cost Intelligence keeps spend transparent for the year-end report.
No-code · Self-healing · Cost IntelligenceBuilt for government & public sector
An autonomous, AWS-native data lake — governed, traceable, and running in your own account.
Runs in your AWS GovCloud account
Autolake deploys entirely inside your own AWS boundary — data never leaves your control — with support for GovCloud and FedRAMP-aligned compliance regimes.
GovCloud-readyGovernance & retention, enforced
Policy-driven access, column-level masking, and retention rules are enforced at the lake level and logged for every request — auditable by design, not by afterthought.
Fine-grained access controlCross-agency lineage for FOIA & audit
Trace any dataset back to its source system, and use Time Travel to reproduce records as they stood on any date — satisfying FOIA, audit, and transparency requests fast.
Lineage + Time TravelA working lake without a big team
Autonomous ingestion, cataloging, and self-healing pipelines stand up a production lake in days and keep it running — no large engineering headcount required.
Autonomous operationsPut it to work
Program performance reporting
Combine eligibility, service, and outcome data across departments to measure program impact and report to oversight bodies on time.
Public transparency & open data
Publish trusted, lineage-backed datasets — auto-exposed as governed REST APIs — for open-data portals and accountability initiatives.
Grants & benefits integrity
Unify eligibility, disbursement, and outcome data to surface anomalies, detect improper payments, and improve service delivery.
Modernize public-sector data on infrastructure you control — secure, compliant, and built for transparency.
See Autolake on your own data — book a 30-minute walkthrough.