Company Profile
Healthcare AI · MENA
TachyHealth
Physician-built AI closing the gap between hospitals and insurers - one claim at a time.
Physician-built AI closing the gap between hospitals and insurers - one claim at a time.
Every hospital visit produces two things: a course of treatment and a paper trail. The treatment is why the system exists. The paper trail - the codes, the claims, the audits, the back-and-forth between a hospital and an insurer - is where a surprising amount of money quietly leaks out. Miscoded procedures, denied claims and compliance gaps add up to what the industry calls controllable revenue loss. TachyHealth, a healthcare-AI company founded in 2018 and run out of Dubai, built its business on that unglamorous middle.
The company describes itself as a healthcare data and artificial-intelligence startup serving the Middle East and Africa. Its stated aim is to help health systems and insurers reduce administrative burden and revenue loss while improving patient care. In practice, that means putting machine learning between providers and payers: reading claims, coding procedures and surfacing clinical guidance so that medical performance and financial outcomes point in the same direction - the definition of value-based care.
What makes the company slightly unusual is who built it. Co-founder and CEO Osama AbouElkhir is a medical doctor and management consultant who spent more than a decade inside healthcare before turning to software. That clinical starting point shows up in the product decisions: TachyHealth leads with the claim, not the patient, on the theory that fixing the payment layer earns the right to touch the care layer.
"With this strategic investment from Tawuniya, we're deepening our mission to bridge the gap between healthcare providers and payers through technology."
TachyHealth's flagship products all carry the same prefix - a naming system built around the job each one does rather than the technology inside it. Together they cover the arc from a doctor's decision to an insurer's payment.
A next-generation AI medical-coding platform that automates and standardizes clinical coding - reducing errors and speeding up billing. It is listed on the SNOMED CT marketplace, aligning its output with global clinical terminology.
Medical claim reviewing and auditing for health insurers. It flags errors and likely denials before payment, targeting the controllable revenue loss that sits between a submitted claim and an approved one.
A clinical decision-support assistant that surfaces the latest medical guidelines for physicians at the point of care - the layer that connects a sound clinical decision to a clean, defensible claim.
Payers optimize for cost; providers optimize for care. The two speak different languages, and the translation errors between them are expensive. TachyHealth positions its platform as that translator - automated coding and claims review that both sides can trust, plus decision support that keeps the underlying medicine sound.
Many claims tools serve only the payer or only the provider. TachyHealth's pitch is that it sits on both sides of the transaction, in a region - the GCC and wider MENA - where insurer-hospital integration is still maturing. Its Series A being led by an insurer, Tawuniya, is a sign of that dual-sided design: a customer effectively investing in the product from the inside.
TachyHealth is a business-to-business software company. It sells its AI platform - coding, claims review and decision support - to hospitals, clinics, third-party administrators and health insurers, primarily on a subscription and licensing basis. The Series A capital is earmarked to scale that platform across new GCC and MENA markets, deepen insurer-hospital integration, and expand its data-science and engineering teams.
The company reports its platform is already deployed across major regional institutions. Its addressable market is the machinery of regional healthcare finance - a segment where global RCM giants have limited presence and where local, compliance-aware AI has room to run.
TachyHealth competes in healthcare AI and revenue-cycle management. Globally the category includes names like Waystar, Nym and CodaMetrix; regionally, insurtech and claims players such as Klaim. TachyHealth's edge is being physician-founded, dual-sided, and built for MENA regulatory realities rather than retrofitted from a US-centric product.
Medical doctor, management consultant and digital-health entrepreneur with 12+ years in healthcare strategy and operations.
Co-founded TachyHealth in 2018, helping build its AI and healthcare-data foundation.
Co-founder of the company, part of the founding team that launched TachyHealth's payer-provider platform.
Osama AbouElkhir, Amr Fawzy and Jamal Alnaser launch the company to apply AI to healthcare's payer-provider gap.
The company introduces AI-driven medical coding and claims-auditing products for providers and payers.
Clinical decision support arrives, and the company gains support from Microsoft, HSBC and the WHO/ITU Ai4Health initiative.
Saudi insurer Tawuniya leads the round in October 2025 as prior investor Propeller exits; funds target GCC and MENA expansion.
It builds AI software that automates medical coding, reviews and audits insurance claims, and provides clinical decision support - helping hospitals and insurers reduce errors, denials and administrative costs.
It was founded in 2018 by Osama AbouElkhir (CEO), Amr Fawzy and Jamal Alnaser. AbouElkhir is a physician and management consultant.
Roughly $6M+ in total, including a $5M Series A led by Saudi insurer Tawuniya in October 2025.
Hospitals, clinics, third-party administrators and health insurers, primarily across the GCC and the wider MENA region.
AiCode (AI medical coding), AiReview (AI claims review and auditing for payers), and AiGuide (clinical decision support for physicians).