Healthcare Studio live

Enterprise Intelligence, Solving Your Core Problems.

Akvera builds tailored AI products for specific industries — solving problems domain experts understand well and generic software ignores.

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0%+
of denials are overturnable
Healthcare Studio
0%
of eng. time spent keeping pipelines alive
Data Factory
40-0%
of LLM token spend goes unused
Inference Layer
The Healthcare Operating System

Healthcare Studio

Live
  • Denial management, AR calling, eligibility verification, credentialing, and payment posting in one platform
  • AI agents handle the repeatable work; your team reviews and decides
  • Full audit trail from claim submission to resolution
Projected impact forHealthcare Studio customersAppeals submittedTarget: +40%First-pass approvalsTarget: +15%Avg. denial costTarget: −30%Claim turnaround timeTarget: −25%
Grammar-Driven EDI Parsing & Data Pipelines

Data Factory

In development
  • Purpose-built X12 EDI parser for 835/837 files
  • Medallion data architecture: raw → parsed → canonical → reporting
  • Built for RCM data today, designed to generalize beyond it
Engineering time:upkeep vs. new workSource: Fivetran 2026 Enterprise Benchmark53%on upkeep53% upkeep47% new workRaw Files835/837 X12 filesParsed EDIGrammar-parsed segmentsCanonical Tablesera_lines, claim_submissionsReportingDashboards & analyticsData Factory automates the layers most teams hand-maintain.
Smarter Token Spend for AI-Native Products

Inference Layer

Concept
  • Designed to reduce token usage via caching, compression, and smart routing across LLM calls, without changing model output
  • Targets the wasted half of typical production LLM spend
  • Still at the concept stage — designed alongside the usage patterns of Akvera's other products
LLM token spend:used vs. wastedSource: 2026 production-LLM cost audits40-60%wasted spendPaid for, never usedActually usedInference Layer targets the wasted half of that spend.

Built with Trusted Partners.

AWS

The infrastructure Healthcare Studio runs on today — HIPAA-eligible, audited, and built for compliance-heavy workloads from day one.

  • HIPAA-eligible infrastructure
  • Signed Business Associate Agreement
  • Live in production today

Claude

The model behind every triage, draft, and coding suggestion Healthcare Studio makes — every output is structured and reviewable, nothing ships without a human in the loop.

  • Structured, auditable outputs
  • Chain-of-thought reasoning
  • HIPAA-eligible via AWS Bedrock

Snowflake

Coming soon

Where Data Factory's EDI parser is headed next — packaged as a Native App for teams who already live inside the Snowflake ecosystem.

  • Native App packaging
  • Marketplace distribution
  • Built for EDI at scale

Akvera is built around one idea: general-purpose AI tools underperform in specialized domains. Each Akvera product is built for a specific industry, using AI to solve problems that are well understood by domain experts but poorly served by generic software.

Common questions.

Akvera is the parent company behind a small set of AI products built for specific industries — starting with Healthcare Studio for healthcare revenue-cycle management, and expanding into data infrastructure and AI-inference tooling.

Each product solves a different problem for a different audience, but shares the same approach: applying AI to a well-defined, expert-understood problem instead of building general-purpose tools. They're built and operated independently.

Yes. Healthcare Studio is live today, used for denial management, AR calling, eligibility verification, credentialing, and payment posting.

Both are actively in development. Data Factory is further along; Inference Layer is still at the concept stage. Reach out if you'd like to be notified as they progress.

Security is built into how we operate, not bolted on. Healthcare Studio's infrastructure runs on HIPAA-eligible AWS infrastructure with a signed Business Associate Agreement. Data Factory and Inference Layer will be held to the same bar as they mature.

Use the contact form below — we read every message personally at this stage.

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Questions about a product, a partnership, or something else — reach out.

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