Avesys runs entirely on your infrastructure — patient data never leaves your perimeter. The engineering teams behind your EHR ship faster with database automation, your finance team holds administrative cost in check, and your security team sleeps better knowing the audit trail is one query away.
One challenge per seat at the table — the CIO, the CFO, and the operations lead. A typical healthcare buying committee has six to ten members. Each one has their own reason to push back.
Every acquisition lands a new SQL Server estate with its own schema, its own undocumented index changes, its own quietly-different tables. Drift between these databases is silent — until a deploy fails or an unauthorized index change exposes a PHI column. Catching it after the fact is an audit finding waiting to happen.
HIPAA is the floor, not the ceiling. HITRUST CSF is now table stakes for hospital systems, and every schema change against a PHI table is a potential audit finding. You need an attributable change log on the database itself — not a spreadsheet your team backfills the week before assessment.
Real production data is the only realistic test data — and also the worst possible thing to have in a non-production environment under HIPAA. Hand-rolled anonymization scripts miss fields, break referential integrity, and never hold up in legal review. Compliance scope blooms outward.
Four capabilities that swap manual, audit-prone workflows for automated, version-controlled ones — without ever moving PHI off your network.
DataForge generates synthetic data from your real schemas; DB Compare reconciles dev/staging schemas against production. Engineers stop blocking on "we need a fresh test database" and start shipping fixes that reach patients sooner.
Production-quality synthetic data for non-production environments. Names, MRNs, addresses, dates of birth, clinical fields — all replaced. Referential integrity preserved so your tests still mean something. Compliance scope shrinks accordingly.
Move beyond dashboards. Avesys AI Advisor surfaces the plan-cache regression that just slowed sp_GetRadiologyResults from 240ms to 4 seconds — and recommends the specific index change or query rewrite that fixes it. Lean on-call teams move from "here is a problem" to "here is the fix" in minutes, not hours.
Compare schemas across hospital sites, regional databases, and post-acquisition estates. Idempotent deployment scripts converge to the target state. Catch the unauthorized index change that would have exposed PHI before it lands in production.
Avesys AI Advisor reads your database telemetry, learns the shape of normal performance for your workload, and surfaces the regressions that matter — the slow EHR query after a schema deploy, the lab-order plan that's drifted off its baseline, the radiology procedure that crossed an SLA. On the recommendation side, the same engine suggests the specific index change or query rewrite that fixes it.
Three numbers your CFO, CIO, and operations lead all care about — and where Avesys moves each one in the right direction.
Prevention pays for itself in a single avoided incident. The platform that prevents it earns its budget back many times over.
Roughly a quarter of US healthcare spending. Database automation is a lever your CFO can defend in a board review — without cutting clinical capacity.
Synthetic-data refreshes and idempotent deploy scripts remove the wait between a code change and a place to test it. The exact number depends on your release cadence — we'll baseline it during a 30-day pilot.
Three architectural calls that separate a platform built for healthcare from one that just happens to support it.
Many leading database tools push you toward SaaS — meaning your PHI traverses someone else's perimeter. Avesys runs fully on-prem or air-gapped. The Business Associate Agreement is simpler because the data path is shorter: it never leaves you.
Most stacks assemble database monitoring, PHI masking, and schema deployment from three separate vendors with three renewals. Avesys ships them as a single platform — DPM, DataForge, SQL Version Control, DB Compare — with one relationship to manage and one set of access controls to audit.
Healthcare grows by acquisition. Per-database, per-server pricing punishes that growth. Avesys DPM is per-instance, DataForge is per-TB-of-source — predictable line items that scale with how your engineering organization actually grows.
"A single breach is a generation of savings, gone."
Administrative overhead already consumes a quarter of every healthcare dollar, and one breach can wipe out two years of cost savings overnight. The teams pulling ahead this cycle are using automation to do more with less — without ever putting patient data at risk.
Avesys was built for that reality. Same platform, three audiences: engineers ship faster, finance keeps overhead in check, security teams see every PHI-touching change. None of them ever has to wonder where the patient data is.
Not a feature checklist against other vendors. The bar a serious healthcare platform clears — and what we built Avesys to deliver from day one.
Deployed entirely inside the hospital system's perimeter. No third-party cloud relay. PHI never leaves your network. The BAA is short because the data path is short.
Names, MRNs, addresses, dates of birth, clinical fields are fully replaced with production-shaped synthetic equivalents — referential integrity preserved so tests still mean something.
Every schema change, threshold edit, and PHI-touching deployment is logged with operator attribution and timestamps. When a HITRUST assessor or HIPAA auditor asks "who, what, when?" — the answer is one query away.
Plan-regression detection, query analysis, and incident summaries powered by a domain-tuned model. For HIPAA-aligned sovereignty, run the model locally on your infrastructure with no outbound API calls. Or plug in your preferred LLM provider (Gemini, Claude, OpenAI) when the data path is acceptable to your privacy office.
Engineered for SQL Server clusters running EHR back-ends, lab order systems, and revenue-cycle databases. Agentless by architecture — nothing is installed on your monitored instances, and the read-only DMV queries Avesys runs are measured in fractions of a percent CPU.
Pricing scales with your organization, not against it. Onboarding the next regional clinic shouldn't trigger a renegotiation — it should be predictable on the same agreement.
Each one usable on its own, designed to interlock. All ship inside your perimeter.
Real-time SQL Server performance intelligence — query insights, wait stats, plan-cache regression detection, and the AI Advisor itself. Agentless monitoring across your EHR, lab, and revenue-cycle databases.
Explore DPMProduction-quality synthetic data without the legal risk. Discovers PII automatically, masks it consistently across referential dependencies, and produces compliant test environments in minutes.
Explore DataForgeDatabase schema and data versioning for SQL Server. Every change reviewed, signed off, and Git-tracked before it touches a production EHR back-end.
Explore SQL VCSchema comparison and sync across regional sites and post-M&A estates. Idempotent deployment scripts converge to the target state — auditable and reversible.
Explore DB CompareTwo low-friction ways to start a conversation. Either way you'll land on a 15-minute call with someone who has actually been on-call for a hospital SQL Server estate.
