Side-by-side comparison of AI visibility scores, market position, and capabilities
Virtual addiction treatment platform for alcohol and opioid use disorder, Ann Arbor MI, raised $118M+. Combines medication-assisted treatment with digital coaching.
Workit Health is an Ann Arbor, Michigan-based virtual addiction treatment company founded in 2015 that provides evidence-based treatment for opioid use disorder (OUD) and alcohol use disorder (AUD) through a telehealth platform. The company has raised over $118 million and operates in multiple US states, delivering medication-assisted treatment (MAT) including buprenorphine prescribing alongside behavioral health coaching and peer support — all accessible from a member's smartphone.\n\nWorkit Health's model addresses the primary barriers to addiction treatment: stigma, geographic access, and cost. By delivering care via telehealth, the platform reaches patients in rural areas and communities where addiction specialists are scarce. The company accepts Medicaid in multiple states, making treatment accessible to lower-income patients who are disproportionately impacted by the opioid crisis. Clinicians on the platform conduct initial assessments by video, prescribe medications electronically, and monitor patient progress through regular virtual check-ins and app-based engagement tools.\n\nThe platform includes a structured digital program with skills-based modules covering triggers, coping strategies, and recovery maintenance, delivered alongside clinical care. Workit Health competes with Bicycle Health, Ophelia, and Boulder Care in the virtual MAT market. The company has expanded to serve employers and health plans as well as direct consumers, positioning it as both a consumer-facing addiction recovery resource and a value-based care solution for payers managing high-cost substance use disorder populations.
AI quality assurance with insurance-backed warranties from Swiss Re and Greenlight Re; EU AI Act compliance assessments backed by YC and reinsurance partners for high-risk AI deployments.
Armilla AI is a third-party AI quality assurance and warranty company that evaluates AI models for organizations deploying AI in regulated or high-stakes contexts — assessing models against EU AI Act and NIST AI Risk Management Framework requirements for risks including bias, hallucination, robustness failures, and adversarial vulnerabilities, then providing performance guarantees backed by insurance coverage from reinsurers Swiss Re, Greenlight Re, and Chaucer. Founded in Toronto, Canada, Armilla raised $6.81 million total including a C$4.5 million seed round in February 2024 from Mistral Venture Partners, MS&AD Ventures, Y Combinator, and its reinsurance partners.\n\nArmilla's model is unique in the AI governance market — rather than just providing compliance reports, Armilla backs its assessments with insurance warranty products. An enterprise deploying a third-party AI model can purchase an Armilla warranty that pays out if the model performs differently than assessed (fails on bias, accuracy, or robustness metrics), transferring AI performance risk to insurance markets that can price and distribute it. This insurance mechanism creates financial accountability for AI quality claims that audit reports alone don't provide.\n\nIn 2025, Armilla competes in the AI governance, risk, and compliance market with Credo AI, Arthur AI, and AI audit firms for enterprise AI risk assessment and compliance tools. The EU AI Act, fully applicable by August 2025 for high-risk AI systems, is driving enterprise compliance urgency — companies deploying AI in hiring, credit scoring, healthcare, and other regulated contexts need third-party conformity assessments. Armilla's insurance-backed warranty differentiates its offering from pure advisory competitors. The reinsurer backing (Swiss Re, Greenlight Re, Chaucer) provides both capital credibility and distribution through insurance broker channels. The 2025 strategy focuses on growing EU AI Act compliance assessments and expanding the warranty product coverage to more AI deployment use cases.
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