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Overview of the Penguin Ai Operating System and what we do.

penguinai.co/

Our origin, mission, team, values, and manifesto.

penguinai.co/about

Get in touch with our team.

penguinai.co/contact

Open roles and what it's like to work here.

penguinai.co/careers

Three layers built for healthcare: the Data Layer, the Context Layer, and the Ai Workforce.

penguinai.co/the-operating-system

Your medical policies, clinical guidelines, and plan rules in one governed place. Versioned, traceable, applied everywhere.

penguinai.co/the-operating-system/context-layer

Member, provider, claim, episode — resolved across every source system. The clean longitudinal foundation every Worker stands on.

penguinai.co/the-operating-system/data-layer

Pre-built agentic Solutions for utilization management, RCM, Patient 360, and HCC retrospective.

penguinai.co/the-operating-system/ai-workforce

Build your own healthcare Ai Workers. No code. No PhD. Deploy in weeks.

penguinai.co/gwen

End-to-end workflows and individual AI Workers — two ways to put the Operating System to work.

penguinai.co/solutions

Prior auth, concurrent, retro, and appeals on one closed loop. For payers.

penguinai.co/solutions/intelligent-um

Pre-submission review and denial recovery as one closed loop. For providers.

penguinai.co/solutions/intelligent-rcm

Prospective capture and retrospective recovery on one Operating System. RADV ready by default.

penguinai.co/solutions/coding-and-risk-adjustment

Documentation review, coding, CDI queries, and denial recovery as one closed loop. For providers.

penguinai.co/solutions/medical-coding

OASIS chart review, ICD-10 coding, and PDGM case-mix scoring on one Operating System.

penguinai.co/solutions/home-health-coding

Ten purpose-built Workers across five Solution domains. One architecture. Glassbox by default.

penguinai.co/solutions/ai-workers

Healthcare Ai Workers, packaged as Snowflake Native Apps. Running where your data already lives.

penguinai.co/solutions/snowflake-native-apps

A complete, governed patient picture across every source system — assembled before the work begins.

penguinai.co/solutions/patient-360

A free, AI-driven revenue cycle diagnostic — see exactly where revenue is leaking today and get a prioritized plan to recover it.

penguinai.co/assessments/rcm

Built for both sides of the healthcare administrative boundary — and the organizations adjacent to them.

penguinai.co/who-we-serve

Faster decisions. Tighter governance. UM, appeals, and FWA on one Operating System with Glassbox audit trail.

penguinai.co/who-we-serve/payers

Care over keyboard. Documentation handled. HCC capture defended. Revenue cycle that scales without proportional hiring.

penguinai.co/who-we-serve/providers

AI-powered services for every care setting — payers, providers, home health, post-acute, ambulatory, and beyond.

penguinai.co/who-we-serve/healthcare-services

Insights and editorial content from the Penguin Ai team.

penguinai.co/blog/articles

CMS just released the data. An 80.7% Medicare Advantage appeal overturn rate. Only 11.5% of denials ever appealed. The bill for that gap is being paid in providers, patients, and payer rework.

penguinai.co/blog/articles/is-this-the-system-we-meant-to-build

If HIMSS25 was the year of slide-deck demos, HIMSS26 was the year of receipts — measurable outcomes, real deployments, and agentic AI moving from concept to operational reality.

penguinai.co/blog/articles/himss26

Healthcare ops teams see everything and control nothing. The patchwork has become the product — and the cost is being paid in burnout, write-offs, and patients waiting on a broken system.

penguinai.co/blog/articles/healthcare-runs-on-duct-tape-and-exit-interviews

ViVE 2026 made it official: healthcare AI has moved from 'is this possible?' to 'how do we operationalize it?' Four themes that stood out from a CMO data perspective.

penguinai.co/blog/articles/vive-2026-4-themes-through-the-eyes-of-a-cmo-data-geek

After decades buying generic analytics platforms that left healthcare an afterthought, it's time for an AI platform purpose-built for the industry's most complex workflows.

penguinai.co/blog/articles/why-healthcare-deserves-its-own-ai-platform

Press coverage of Penguin Ai from across the healthcare and tech media landscape.

penguinai.co/blog/in-the-news

Penguin Ai CEO Fawad Butt writes for the Forbes Technology Council on why CXOs need to stop hesitating and start leading their organizations through the AI transition.

penguinai.co/blog/in-the-news/cxos-stop-freezing-and-start-leading-on-ai

Penguin Ai is featured in Chief Healthcare Executive on why 2026 represents the inflection point for enterprise AI adoption across health systems and payers.

penguinai.co/blog/in-the-news/why-2026-could-be-the-year-of-ai-adoption

Penguin Ai is featured in PSQH (Patient Safety & Quality Healthcare) on the need to rethink governance as healthcare technology evolves toward agentic AI.

penguinai.co/blog/in-the-news/a-fresh-look-at-governance-and-technology-in-healthcare

Mobile Health Times covers the launch of Penguin Ai's HCC Coding and Risk Adjustment solution on Snowflake Marketplace.

penguinai.co/blog/in-the-news/penguin-ai-launches-hcc-coding-and-risk-adjustment-solution-on-snowflake-marketplace

Penguin Ai CEO Fawad Butt joins the Boombostic Health podcast to discuss why healthcare needs a real AI platform, not another LLM dressed up as one.

penguinai.co/blog/in-the-news/the-1-trillion-problem-nobody-talks-about-in-healthcare

Penguin Ai is featured alongside 25 other healthcare leaders in Chief Healthcare Executive's annual predictions piece on where AI in healthcare is headed in 2026.

penguinai.co/blog/in-the-news/ai-in-health-care-26-leaders-offer-predictions-for-2026

Empowered Patient Podcast covers Penguin Ai: Optimizing Provider-Payer Workflow by Addressing Inefficiencies with Fawad Butt.

penguinai.co/blog/in-the-news/oppwba-penguin-outlink

Healthcare Business Today covers Penguin Ai: I Wrote the First Healthcare Data Governance Playbook. Now I’m Rewriting It for AI.

penguinai.co/blog/in-the-news/hbt-penguin-outlink

Healthcare IT News covers Penguin Ai: UPMC Enterprises partners with Penguin Ai for development of new healthcare models.

penguinai.co/blog/in-the-news/hin-penguin-outlink

Digital Health Investor Talkshow covers Penguin Ai: The Digital Health Investor Talkshow - The Healthcare AI Arms Race with Steven Wardell & Fawad Butt.

penguinai.co/blog/in-the-news/dhits-outlink

Healthcare IT News covers Penguin Ai: LLMs have their uses, but healthcare needs 'small language models' too, expert says.

penguinai.co/blog/in-the-news/healthcare-it-news-outlink

HITea covers Penguin Ai: HLTH Heard in the Halls: Fawad Butt on Leveraging AI Effectively in Healthcare.

penguinai.co/blog/in-the-news/hitea-outlink

MedCity News covers Penguin Ai: LLMs Have Eaten the Internet — Now They’re Starving on Themselves.

penguinai.co/blog/in-the-news/medcity-news-outlink-2

Newsweek covers Penguin Ai: Newsweek Pulse Check - Executive Perspectives on Key Industry Issues.

penguinai.co/blog/in-the-news/newsweek-pulse-check-outlink

Pittsburgh Post-Gazette covers Penguin Ai: Pittsburg Gazette - UPMC embraces AI in improving health care efficiency.

penguinai.co/blog/in-the-news/pg-upmc-outlink

AiThority covers Penguin Ai: Penguin Ai Announces Strategic Partnership with UPMC Enterprises to Advance Health Care AI Innovation.

penguinai.co/blog/in-the-news/penguin-aithority-outlink

Becker's Hospital Review covers Penguin Ai: Beckers Health IT - University Pittsburgh Medical Center partners with AI firm.

penguinai.co/blog/in-the-news/penguin-beckers-outlink

Healthcare Innovation covers Penguin Ai: Building a Platform for the Agentic AI Era of Healthcare.

penguinai.co/blog/in-the-news/penguin-hcinnovation-outlink

HealthIT Answers covers Penguin Ai: What Trends Will You be Looking for at HLTH?.

penguinai.co/blog/in-the-news/penguin-healthitanswers-outlink

Investors Hangout covers Penguin Ai: Penguin Ai and UPMC Enterprises Partner to Enhance Health Care AI.

penguinai.co/blog/in-the-news/penguin-iho-outlink

UPMC Enterprises covers Penguin Ai: How AI Startups Are Accelerating Innovation in Health Care.

penguinai.co/blog/in-the-news/penguin-upmc-outlink

Penguin Ai is featured in Healthcare Brew on the escalating AI arms race between insurers and providers, and what it means for the administrative middle.

penguinai.co/blog/in-the-news/healthcare-brew---the-ai-arms-race-between-insurers-providers-has-begun

Before HLTH Talks covers Penguin Ai: Before HLTH Talks: Voices of Change – Fawad Butt.

penguinai.co/blog/in-the-news/reeset-penguin-outlink

The Health Care Blog covers Penguin Ai: The Health Care Blog Show - Penguin–The Flightless Bird of Health AI.

penguinai.co/blog/in-the-news/thcb-penguin-outlink

Digital Health Wire covers Penguin Ai: Penguin Ai Raises $30M to Arm the AI Agent War.

penguinai.co/blog/in-the-news/dhw-penguin-ai-outlink

HIT Consultant covers Penguin Ai: Penguin Ai and UPMC Enterprises Partner to Accelerate AI Solutions Using Ahavi™ Data Platform.

penguinai.co/blog/in-the-news/hit-consultant-outlink

HIT Consultant covers Penguin Ai: Penguin Ai Secures $29.7M to Automate Healthcare Administrative Workflows.

penguinai.co/blog/in-the-news/hitconsultant-penguin-ai-story-outlink

HLTH covers Penguin Ai: Penguin Ai Raises $29.7M to Scale Healthcare Administrative Automation Platform.

penguinai.co/blog/in-the-news/hlth-penguin-ai-outlink

MedCity News covers Penguin Ai: Penguin Ai Snags $30M to Simplify Prior Auth, Coding, and Claims.

penguinai.co/blog/in-the-news/medcity-penguin-ai-outlink

MobiHealth News covers Penguin Ai: Mobi Health News - Penguin Ai secures $29.7M for administrative workflow platform.

penguinai.co/blog/in-the-news/mobihealthnews-penguin-ai-story-outlink

Pulse 2.0 covers Penguin Ai: Penguin Ai: $29.7 Million Raised To Reduce Administrative Costs in Healthcare.

penguinai.co/blog/in-the-news/pulse-2-0-penguin-ai-outlink

Official announcements from Penguin Ai.

penguinai.co/blog/press-releases

Penguin Ai's Intelligent RCM brings AI workers to revenue cycle teams, connecting pre-submission claim review, denials and appeals recovery, and payment integrity in one workflow that shows the evidence behind every recommendation.

penguinai.co/blog/press-releases/penguin-ai-launches-intelligent-rcm-bringing-its-ai-workforce-to-the-revenue-cycle

Penguin Ai's Intelligent Medical Coding and Intelligent RCM solutions are now available in AWS Marketplace, backed by a 90-day ROI guarantee and a 93 percent appeals overturn rate.

penguinai.co/blog/press-releases/penguin-ai-launches-intelligent-medical-coding-and-intelligent-revenue-cycle-management-solutions-in-aws-marketplace

Penguin Ai's Utilization Management and HCC Risk Adjustment solutions are now available in AWS Marketplace, compressing prior authorization turnaround from days to under 10 minutes.

penguinai.co/blog/press-releases/penguin-ai-launches-utilization-management-and-hcc-risk-adjustment-solutions-in-aws-marketplace

Penguin Ai appoints Dan Wu as Head of Product and Nate Kiely as Chief Revenue Officer, following rapid customer growth and the launch of its Gwen platform.

penguinai.co/blog/press-releases/penguin-ai-adds-product-and-commercial-leadership-to-match-enterprise-scale

Penguin Ai brings two of healthcare's most administratively intensive workflows, prior authorization and medical coding, to Snowflake Marketplace as Native Apps.

penguinai.co/blog/press-releases/snowflake-native-apps-on-snowflake-marketplace

New platform enables healthcare teams to build and deploy governed AI workflows in under 25 minutes, without heavy IT lift or long-term contracts.

penguinai.co/blog/press-releases/penguin-ai-launches-gwen-a-build-your-own-ai-platform-for-healthcare-operations

Penguin Ai's HCC Coding & Risk Adjustment solution arrives on Snowflake Marketplace as a Native App, elevating risk-adjustment performance with automated, context-aware diagnosis analysis.

penguinai.co/blog/press-releases/penguin-ai-launches-hcc-coding-risk-adjustment-solution-as-snowflake-native-app-on-snowflake-marketplace

Penguin Ai and FTI Consulting team up to help healthcare providers strengthen revenue cycle performance and reduce administrative burden through AI-powered automation.

penguinai.co/blog/press-releases/penguin-ai-and-fti-unite-expertise-to-deliver-next-generation-revenue-cycle-performance

Penguin Ai partners with UPMC Enterprises' Ahavi™ data platform to validate at least three healthcare AI solutions designed to strengthen the doctor-patient relationship and accelerate access to care.

penguinai.co/blog/press-releases/upmc-partnership

Following its Series A close, Penguin Ai adds Mark Caron as Chief Strategy Officer alongside new hires across partnerships, operations, and sales.

penguinai.co/blog/press-releases/strenghthening-leadership-team

Penguin Ai closes $29.7M in venture funding, including a $25M Series A led by Greycroft, to scale its healthcare-native AI platform for payers and providers.

penguinai.co/blog/press-releases/penguin-ai

White papers, frameworks, and original research from the Penguin Ai team.

penguinai.co/blog/research

Administrative burden is the manual, repetitive, system-switching work that consumes clinician and operations team capacity across U.S. healthcare — prior authorization queues, claim status checks, documentation reviews, eligibility verification, and the chart-chasing that sits between every clinical decision and the systems recording it. Industry estimates put the cost at roughly $1 trillion annually, and a meaningful share of clinician burnout traces to it. Penguin Ai's platform automates this layer of work with auditable, healthcare-specific Ai Workers so clinical and operations staff can focus on judgment-heavy decisions, not data entry.

penguinai.co/blog/tag/administrative-burden

Agentic AI describes systems that don't just generate responses — they take action: invoking tools, calling APIs, retrieving documents, and completing multi-step workflows under human-defined guardrails. In healthcare, that means agents that can review a chart, apply coding policy, draft a determination, and route the case for clinician sign-off — not a chatbot suggesting what a human should do next. Penguin Ai builds agentic AI engineered for healthcare's data complexity and compliance posture: every action is cited, every decision is auditable, and a licensed reviewer remains the final word on anything that touches patient care.

penguinai.co/blog/tag/agentic-ai

AWS-related coverage at Penguin Ai documents the partnership with Amazon Web Services — including product launches and listings on AWS Marketplace. Deploying inside a customer's own AWS account and governance perimeter lets Penguin Ai's Ai Workers operate directly on governed member, claims, and clinical data without moving it or requiring a new business associate agreement, while health plans procure through AWS Marketplace with consolidated billing and standardized terms. Posts under this tag track product launches, marketplace listings, and the strategic context behind running on AWS.

penguinai.co/blog/tag/aws

Healthcare data governance is the framework that controls how clinical, claims, and member data is accessed, transformed, and used — covering HIPAA compliance, audit trails, access policies, lineage tracking, and the consent and segmentation rules that vary by payer, provider, and state. Without it, AI systems are unauditable; with it, every model output can be traced to its source data, the policy it applied, and the human who reviewed it. Penguin Ai treats governance as architecture, not a compliance overlay — every data point in the platform carries source, timestamp, transformation history, and trust score by default.

penguinai.co/blog/tag/data-governance

Funding coverage at Penguin Ai tracks the company's capital milestones — including the $29.7M Series A announced in 2025 — alongside strategic investments from Snowflake Ventures and other partners, the investor thesis behind backing healthcare-specific AI infrastructure, and the operating priorities each round funds. Capital is deployed against a single objective: building the platform that automates the $1 trillion administrative burden in U.S. healthcare without compromising governance, clinical safety, or audit posture. Posts under this tag include the funding announcement, partner perspectives, and the strategic context shaping how Penguin Ai grows.

penguinai.co/blog/tag/funding

Gwen is Penguin Ai's agentic builder — the platform layer where Ai Workers are composed, configured, and deployed against healthcare workflows. Operators use Gwen to assemble end-to-end solutions like prior authorization, RCM, and HCC retrospective from a library of pre-built workers, or to compose custom ones for the workflow at hand. Every worker built in Gwen runs on the same governed data foundation, applies the same policy library, and stays observable through the same Glassbox audit trail. Posts under this tag cover Gwen's launch, capabilities, and how customers use it to put the platform to work.

penguinai.co/blog/tag/gwen

HCC coding (Hierarchical Condition Categories) is the risk adjustment methodology used by Medicare Advantage and ACA plans to score patient acuity and set reimbursement. The work involves chart abstraction, supportable diagnosis identification, evidence documentation, and submission against tight payer deadlines — historically driven by chart-chase teams and annual sweeps. Penguin Ai's HCC retrospective solution runs continuously instead of in waves: every patient chart is reviewed for documented and supportable HCC conditions across the longitudinal record, with chart citations, coding rules, and rationale attached to every suspect for coder and clinician validation.

penguinai.co/blog/tag/hcc-coding

Industry events coverage at Penguin Ai includes recaps and analysis from the conferences shaping healthcare AI — HIMSS, HLTH, ViVE, and AHIP among them. The posts under this tag share what Penguin Ai's clinical, operational, and engineering leaders heard on the floor and in the hallway: where payers and providers are actually deploying AI in production, which themes the industry keeps cycling on, and what's changing in how operators think about agentic systems, data readiness, and governance. Practical signal from the events that move the market, written from the perspective of operators who attend them.

penguinai.co/blog/tag/industry-events

Leadership coverage at Penguin Ai introduces the executives, clinicians, engineers, and operators building the platform — including new hires, advisory additions, and the operating leaders shaping how Penguin Ai runs. The team draws from healthcare data operations at the largest payer and provider organizations in the country, augmented by AI/ML researchers and platform engineers. Posts under this tag announce key personnel changes, share leadership perspectives on healthcare's administrative burden, and contextualize the operating priorities being set as the company scales its agentic AI platform across payer and provider customers.

penguinai.co/blog/tag/leadership

Large language models (LLMs) are the foundation of generative AI — neural networks trained on massive text corpora that can generate, summarize, translate, and reason over natural language. In healthcare, LLMs alone are not enough: hallucinations, lack of provenance, and inability to apply specific payer or provider policy make them unsafe for production decisions without significant additional infrastructure. Penguin Ai's platform pairs LLMs with healthcare-specific data layers, governance, ontologies, and human-in-the-loop checkpoints — turning general-purpose language reasoning into clinical-grade workflows that are auditable, citable, and policy-aware.

penguinai.co/blog/tag/llm

Medical coding coverage at Penguin Ai documents its Intelligent Medical Coding solution, which identifies and validates codes across 72,000+ ICD-10 codes to reduce undercoding while keeping pace with regulatory change. This is distinct from the hcc-coding tag, which is scoped specifically to HCC risk-adjustment coding — posts here track general medical coding accuracy, denial prevention, and revenue-cycle automation that Penguin Ai's Ai Workers apply across provider billing and claims workflows.

penguinai.co/blog/tag/medical-coding

Partnerships coverage at Penguin Ai documents the strategic alliances expanding the platform's reach across payer and provider ecosystems — including UPMC Enterprises, Snowflake, FTI Consulting, and integration partners across EHR, claims, and analytics platforms. These relationships exist because healthcare AI cannot be deployed in isolation: every Ai Worker has to connect to existing systems, operate under partner governance, and integrate with the data fabric customers already rely on. Posts under this tag announce new partnerships, explain the strategic logic, and outline what each unlocks for joint customers.

penguinai.co/blog/tag/partnerships

Payment integrity is the work of confirming that a claim was paid the right amount under the right terms — validating reimbursement against contract rates and fee schedules, identifying underpayments and variance, and reconciling disputed balances through to a closed outcome. The work is contract-specific and evidence-heavy, and the variance that matters is often too small per claim to chase manually and too large in aggregate to ignore. Penguin Ai's Ai Workers price each claim against the governing contract and fee-schedule terms, surface the calculation behind every finding, and rank the exceptions by recoverable value so specialists spend their time on the balances worth pursuing. Every finding carries its evidence and reference data, and a human reviewer owns the decision to pursue, adjust, or close.

penguinai.co/blog/tag/payment-integrity

Platform coverage at Penguin Ai goes deep on the architecture that makes agentic AI safe to deploy in healthcare — the Data Layer that solves master data and identity resolution across EHRs, claims, pharmacy, and lab systems; the Context Layer that applies healthcare-specific reasoning, ontologies, and policy; and Gwen, the agentic builder where Ai Workers are composed. Posts under this tag explain how the layers fit together, why a horizontal AI tool can't substitute for healthcare-specific infrastructure, and what operators need from a platform before agents can take meaningful action on patient data.

penguinai.co/blog/tag/platform

Press coverage at Penguin Ai aggregates external reporting on the company across industry trade press and tier-one technology and business outlets — including HIT Consultant, Healthcare IT News, Forbes, Mobi Health News, MedCity News, Pulse 2.0, HLTH, Becker's, and others. Coverage spans funding announcements, product launches, partnership milestones, and analyst perspectives on Penguin Ai's role in automating healthcare's administrative layer. Posts under this tag link to the original outlet's reporting alongside relevant context, giving operators and partners a single feed for tracking how Penguin Ai is being covered in the trade and business press.

penguinai.co/blog/tag/press-coverage

Prior authorization is the payer process by which providers request approval before delivering certain services, drugs, or procedures, generating millions of submissions, queries, and appeals annually. The workflow is one of the most fragmented in U.S. healthcare — eligibility checks, medical-necessity reviews, policy lookups, peer-to-peer escalations, and denial/appeal cycles often span weeks. Penguin Ai automates prior auth on both the payer and provider sides: Ai Workers gather supporting evidence, apply medical-necessity criteria, draft determinations, and surface exceptions for licensed clinical review — turning a multi-day, multi-system workflow into a same-day decision.

penguinai.co/blog/tag/prior-authorization

Revenue cycle management (RCM) is the financial workflow connecting patient care to payment — eligibility verification, coding, charge capture, claim submission, denial management, appeals, and collections. The work is high-volume, rules-heavy, and scattered across EHRs, billing platforms, and payer portals, making it one of the largest sources of administrative cost and labor in U.S. healthcare. Penguin Ai's RCM solution runs the rules-based steps autonomously — coding, claim prep, denials, and appeals — across your existing stack, while routing exceptions and judgment calls to human reviewers. Your team works on what actually requires expertise.

penguinai.co/blog/tag/revenue-cycle

Snowflake-related coverage at Penguin Ai documents the partnership with Snowflake — including Snowflake Ventures' investment, the launch of HCC coding and prior authorization as Snowflake Native Apps on Snowflake Marketplace, and joint announcements on agentic AI architecture. The partnership matters because many large payers and providers now run their data infrastructure on Snowflake; meeting customers in that environment dramatically reduces deployment friction and lets Penguin Ai's Ai Workers operate directly on governed customer data without rip-and-replace. Posts under this tag track product launches, marketplace listings, and the strategic context behind running on Snowflake.

penguinai.co/blog/tag/snowflake

Thought leadership in healthcare AI is the longer-form analysis, original framing, and operator-perspective writing that goes beyond product announcements — tackling the hard architectural, governance, and workflow questions that determine whether AI deployments actually scale in payer and provider environments. Penguin Ai publishes thought leadership from operators, clinicians, and engineers who have lived the problems they are now solving: pieces on why healthcare deserves its own AI platform, what data readiness actually means, how to scale clinical intelligence beyond pilots, and what governance must look like when agents take action on patient data.

penguinai.co/blog/tag/thought-leadership

Fawad founded Penguin Ai to bring autonomous clinical intelligence to healthcare's most expensive workflows. Previously Chief Data Officer at Kaiser Permanente and UnitedHealth Group/Optum, and Executive-in-Residence at Canvas Ventures, he writes about the operational and data foundations required for AI to work in production healthcare environments.

penguinai.co/blog/author/fawad-butt

How we collect, use, share, and protect your personal information.

penguinai.co/privacy