Vertical AI Built for Real-World Industry Outcomes

Every accelerator on VeltrisOne™ is built around the specific data models, workflows, and compliance requirements of your industry — not adapted from a horizontal tool. Deployed in days. Measured from day one. No experiments. Only proven outcomes.

Three value props:

  • Purpose-built for micro-industry workflows – not generic AI adapted to fit
  • Every app deployed in a real client environment before it reaches you
  • ROI tracked from day one across claim rates, MTTR, defect accuracy, and more

Explore VeltrisOne™ Accelerators for Industry

CodeMedix AI

AI-native revenue cycle modernization. Claims automation, denial prediction, and payment integrity embedded across the RCM value chain — pre-submission through collections — for HealthTech, PBMs, and DSOs.

HelixFlow AI

Operating system for healthcare administration. RCM, claims intelligence, prior authorization, propensity-to-pay, and next-best-action — with a local AI copilot for on-prem deployment where data sovereignty matters.

FaultAnalyze AI

Multi-agent AI for network operations. Fault detection, prevention, and security threat response across private 5G, OpenRAN, SASE, SD-WAN, and SSE — pre-sales through post-sales.

DefectQC AI

Computer vision on the factory floor. Real-time defect detection on live assembly lines — trained on industry-specific defect libraries and integrated with leading MES platforms.

AuraVoice

Clinical voice AI for healthcare and enterprise. 24/7 agentic voice assistant for patient communication, clinical documentation support, and customer and tech support across channels.

How VeltrisOne™ Accelerators for Industry Work

01
Stop Denials Before They Happen

CodeMedix AI embeds autonomous intelligence across the entire RCM value chain — interpreting clinical documentation, assigning accurate ICD-10/CPT codes, analyzing EoBs, and auto-generating appeal packets before denials compound.

  • 30% reduction in claim denials
  • Higher coding accuracy across high-volume workflows
  • Faster reimbursement cycles and reduced administrative burden
02
Put Benefits Intelligence at the Point of Care

HelixFlow AI gives patients and providers instant access to the clinical and benefits information they need — coverage details, prior authorization guidance, and next-best-action recommendations — without the wait.

  • Faster treatment initiation and reduced patient frustration
  • Fewer benefit-related inquiries reaching support teams
  • Streamlined prior authorization and pharmacy benefit navigation
03
Cut Recovery Time. Stop Recurring Outages

FaultAnalyze AI deploys specialized agents that collaborate to analyze network architectures, trace failure patterns, and identify root causes — before incidents become outages.

  • 80% reduction in MTTR across live network deployments
  • Over 70% faster fault resolution across distributed layers
  • Proactive prevention of recurring service outages
04
Catch Every Defect. Ship Nothing Faulty

DefectQC AI puts computer vision directly on the production line — detecting, classifying, and flagging defects in real time, trained on your industry’s specific defect libraries.

  • 99%+ defect detection accuracy on live assembly lines
  • Zero faulty shipments achieved across manufacturing deployments
  • Greater consistency and compliance across production cycles

Use Cases by Industry

Enhance Accuracy and Speed Across Clinical & Billing Workflows
Manual workflows cost you claims, throughput, and patient trust. AI embedded across documentation, coding, benefit navigation, and billing removes the administrative burden — and the errors that come with it.

  • Autonomous interpretation of clinical records improves ICD-10/CPT accuracy and eliminates the denials that follow from coding errors.
  • Real-time benefit navigation accelerates treatment initiation — patients get answers at the point of care, not days later.
  • Automated EoB analysis and appeal packet generation cut rework loops before they drain collections teams.

Industry outcomes: 30% fewer denials, higher coding precision, faster reimbursement cycles, and 25% shorter patient wait times.

Stabilize Network Reliability Through Multi-Agent Diagnostics
Network failures don’t wait for business hours. Manual diagnostics don’t scale across distributed architectures. Multi-agent AI works continuously — analyzing, predicting, and resolving before your customers notice.

  • Automated RCA shortens investigation cycles across distributed network layers.
  • Pattern-based analysis predicts potential failures and prevents recurring outages.
  • Faster prioritization of incidents improves service experience and uptime.

Industry outcomes: 80% faster MTTR and significantly improved network reliability.

Improve Production Quality and Reduce Waste in Real Time

AI-powered vision systems identify, classify, and flag defects instantly during production.

  • Real-time quality checks eliminate lag between defect creation and detection.
  • Automated classification reduces manual inspection variability and errors.
  • Data-driven insights optimize upstream manufacturing processes.

Industry outcomes: 99%+ defect detection accuracy and reduced material waste.

Purpose-built enterprise accelerators

Document-heavy processes, complex compliance requirements, and high-volume customer interactions are not problems generic AI solves well. Purpose-built enterprise accelerators handle the specifics — governed, auditable, and built for regulated environments.

  • Intelligent document processing extracts, classifies, and routes structured and unstructured data across enterprise workflows without manual handling.
  • AI-native voice and conversational intelligence handles customer and agent interactions at scale — with full transcription, sentiment analysis, and compliance logging.
  • Automated invoice processing, contract analysis, and approval workflows reduce cycle times across finance and legal operations.
  • Enterprise-grade governance controls — HIPAA, SOC 2, ISO 27001 — built into every deployment, not bolted on after.

Industry outcomes: Faster cycle times, reduced manual processing overhead, and full auditability across regulated enterprise workflows.

Partnerships

Technology Towers

Cisco
Databricks
NVIDIA

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