Skip to Main Navigation
Why Traditional Data Platforms Fall Behind
Most data platforms weren't built for how organizations actually work today. Gravann DV was.
Data Comes From Everywhere, in Every Format
Files land as CSVs, JSON, database exports, and streaming events, all differently. Without automatic classification, every new source needs custom engineering before it's usable, and the backlog only grows.
Manual Data Cleanup Doesn't Scale
Duplicate records, mismatched IDs, and formatting errors used to require dedicated data teams working reactively. By the time errors are caught, they've often already reached a report or a decision.
Answers Take Too Long
Getting a straight answer from raw data usually means waiting on an engineer to write a query. By the time it's ready, the question has often changed.
Servers Run 24/7, Whether You're Using Them or Not
Traditional data warehouses charge for capacity you're not using. Idle compute adds up fast, especially when data volume spikes unpredictably.
How Gravann DV Solves Data at Scale
Capability 1
Ask in Plain English, Get Back Real Data
Problem: "Getting an answer from raw data usually means waiting on someone to write a query."
Analysts type questions in plain English right in the workspace. AI converts the question to SQL and shows it for review before running anything, no black box, full transparency into exactly what will be queried. Once results come back, one click gets a plain-English summary of what the data shows.
In Practice
A hospital analyst asks "which departments had the longest average wait times last month?" and gets a chart back in seconds, no ticket to IT required.

Capability 2
Compliance-Ready Infrastructure
Problem: "Meeting HIPAA, FedRAMP, or industry compliance standards takes months, and staying compliant requires constant evidence gathering."
Gravann DV runs on FedRAMP-authorized infrastructure (AWS GovCloud and Azure Government) with security architecture meeting HIPAA and regulatory baseline standards. But authorization is only the starting point. Gravann DV implements continuous compliance monitoring, automatically capturing evidence that auditors expect while maintaining operational transparency.
All data encrypted at rest (AES-256) and in transit (TLS 1.3)
Automatic generation of NIST 800-53 and HIPAA control evidence
Support for enterprise SSO and zero-trust architecture
Capability 3
Analyst Workspace, No Waiting on Engineering
Problem: "Getting insights out of data usually means filing a ticket and waiting for someone else's schedule."
Gravann DV includes a built-in workspace for exploring data directly, no separate BI tool required. Search for tables by describing what you need, write SQL with autocomplete, or just ask in plain English. Drag and drop a spreadsheet for instant local analysis, nothing leaves your machine.
Ask questions in plain English, review the SQL before running
Explore any table without knowing where it lives
Drag-and-drop files for instant local analysis

Analyst Workspace
Automatic Protection
Sensitive fields are tagged automatically as data flows through the pipeline, then masked at query time based on who's asking, no manual setup required.

Capability 4
Only See What You're Allowed to See
Problem: "Sensitive fields need protection, but manually managing that access doesn't scale."
AI automatically identifies and tags sensitive fields as data flows through the pipeline. Those tags are enforced at query time, so sensitive information is masked automatically based on who's asking, no manual review, no separate approval process for every new report.
In Practice
A billing analyst can see claim amounts and codes, but patient names and identifiers stay masked, automatically, without anyone configuring a permission.
Capability 5
Share Live Data Without Sending a Single File
Problem: "Sharing data with partners usually means months of one-off exports and file transfers."
Gravann DV lets you create a live share to specific tables with a single command, no file exports, no static copies. Partners connect with a secure, time-limited link and always see current data. Access expires automatically, and every share is logged for audit.
In Practice
A hospital shares live claims data with an outside auditor through a secure link that expires after 30 days, no exports, no follow-up emails asking for the "latest version."
Deployment Flexibility for Every Environment
Your Cloud
Deploy in your own cloud environment
Deploy within your existing cloud infrastructure. Ideal for organizations with IT operations teams requiring direct control over infrastructure.
Self-managed Kubernetes deployment
Petabyte-scale support
Custom sizing options
Recommended
Gravann Managed Cloud
Fully managed on AWS GovCloud or Azure Government
Fully managed by Gravann on FedRAMP-authorized infrastructure. Ideal for organizations building modern data platforms without managing infrastructure themselves.
Multi-tenant SaaS deployment
99.99% uptime SLA
Automatic security patching
Hybrid Architecture
Cloud + on-premises integration
Connect cloud analytics to on-premises data repositories. Ideal for organizations with legacy systems transitioning gradually to cloud.
Secure encrypted connections
Virtualized access governance
Data masking in transit
Healthcare Data Consolidation
Multi-payer claims and care data unification
Challenge: Claims and care data flow in from dozens of source systems, different formats, different update schedules, no shared member ID across systems. Current approach: manually stitching spreadsheets together, taking days to get a single view of a member's history.
Solution: Gravann DV automatically classifies incoming files, resolves member identities across sources, and serves a single unified view, refreshed hourly.
Results
Real-time queries
From 3-5 days to instant
75% time savings
On data preparation
40% improvement
In audit readiness
Financial Regulatory Data Sharing
Regulatory oversight and reporting
Challenge: Financial regulatory oversight requires accessing transaction data, customer information, and operational metrics from regulated institutions. Current approach: each institution provides custom data exports monthly. No standardized format. No real-time visibility.
Solution: Regulated institutions use Gravann DV as their central compliance platform. Regulators access authorized data through standardized, governed APIs with automatic audit trails.
Results
Real-time reporting`
From monthly to continuous
60% faster prep
Regulatory report preparation
6 month reduction`
In examination cycles
Investigative Case Management
Evidence tracking and case data governance
Challenge: Investigators maintain case files spanning investigative leads, witness statements, evidence records, and chain-of-custody documentation. Evidence data must comply with law enforcement requirements: unbroken access tracking, immutable audit logs, authorized personnel-only access.
Solution: Investigative case data migrates to Gravann DV with governance rules enforcing evidence handling requirements. When an investigator accesses a sensitive case file, the platform logs every detail with cryptographic integrity checking.
Results
50% faster audits
Investigation compliance review
Automated chain-of-custody
Evidence documentation
Higher productivity
Less manual logging
1
Assessment & Planning
Gravann architects assess your current data landscape: existing systems, governance gaps, compliance requirements, and integration needs. We identify which use cases deliver immediate value.
Timeline: 2-3 weeks
2
Environment Preparation
We provision your deployment environment (Gravann managed cloud, your cloud, or hybrid). Security teams conduct final authorization reviews. IT operations prepare network connectivity and backup infrastructure.
Timeline: 2-4 weeks
3
Data Onboarding
Your data sources connect to Gravann DV. We map governance rules, classify data, establish access policies, and configure audit logging. Your team validates configurations against existing workflows.
Timeline: 6-12 weeks
4
Launch & Optimization
Users access Gravann DV for priority use cases. We monitor performance, gather feedback, and optimize data structures and governance rules. Training and documentation support successful adoption.
Timeline: Ongoing



