Self‑Service Clinical Intelligence at AI Scale
Enable care teams, clinicians, and administrators to ask real‑time clinical and operational questions—and get trusted, explainable answers instantly.
Ask → Discover → Answer
Ask in plain language (or SQL) → Access clinical, operational, and administrative data with full context → Generate Data Answers you can materialize, share, or integrate across systems.
Healthcare Use Cases
Clinical Research & Trial Analytics
Access trial outcomes, real‑world evidence, and operational data through conversational queries for accelerated drug development. Results for teams show a ~30‑40% reduction in prep time.
Patient 360 & Care Coordination
Unified view across clinical, financial, and operational systems improves care coordination, onboarding, and satisfaction. Typical gains: ~25% better coordination; 35% faster onboarding.
Finance & Revenue Cycle Monitoring
Instantly monitor metrics like payer denials, resolution times, and financial impact with conversational data access. Could yield ~30‑50% faster reporting and efficiency.
Platform Features
Zero‑Copy Hybrid Architecture
Direct access to on‑prem, SaaS, and cloud data without duplicating sensitive medical records.
360° Context Engine
Combines clinical metadata, business definitions, and usage history for accurate, relevant answers.
Seamless Integration
Works with EHRs, BI tools, metadata catalogs, and AI systems (e.g., FHIR platforms, Power BI, Tableau, clinical copilots).
Enterprise‑Grade Governance & Security
Role‑based access control and audit trails support compliance requirements across healthcare workloads.
Improvement in analyst and clinical user productivity
Faster financial and operational reporting
Reduction in manual preparation of quality metrics
Faster access to clinical and research data
Why it Matters
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Agentic Medical Reasoning
Orchestrates agents for question planning, SQL generation, metadata reasoning, and data validation—automating workflows that used to be manual. -
Interactive Iteration
Refine prompts, apply filters, or drill into results—all without leaving the interface. -
Reinforcement Feedback Loop
Clinician validation helps the agent improve accuracy over time.
How it works in 3 simple steps
1. Ask a Clinical Question
Use natural language: “What’s our current ICU bed occupancy and average length of stay by department?”
2. Discover Relevant Data
Pull from EHRs, quality dashboards, billing systems, and research data with full metadata and lineage.
3. Build & Share a Clinical Data Answer
Includes full explanation, visuals, SQL ready for dashboards, and the ability to push results into internal tools.
Experience the Platform
Join the Private Preview / Request a Demo
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Explore a fully preloaded environment with healthcare-specific datasets
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Test clinical and operational questions with our AI medical care agent
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Experience contextual, explainable results—no setup or integrations required
Pilot & Deploy
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Rapid deployment in days, not months
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Onboard analysts, clinicians, and finance teams quickly
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Demonstrate value immediately; scale across departments seamlessly
Next Steps
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Get started with a pilot using core systems (finance, quality, operations)
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Enable self-service access for business and clinical users
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Scale adoption across administrative, clinical, and research functions
Testimonials
“The ability to ask a question and get an instant, explainable answer is transformative for our operations.”