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Conor Foley is the CEO and Co-Founder of Manta Health, where he leads strategy, go-to-market, and partnerships. He co-founded Manta to address a problem that most revenue cycle technology has never properly solved: the upstream coverage work that determines whether a practice gets paid before a claim is ever submitted.
His operating thesis is direct. Healthcare revenue breaks upstream, not at billing. Eligibility errors, undocumented payer requirements, missing prior authorizations, and uncollected patient responsibility erode margins at specialty practices long before a claim reaches a clearinghouse. Most practices manage this with manual workflows that don't scale. Manta treats it as an intelligence problem and builds software accordingly.
Conor's background spans product and customer-facing roles, giving him a working understanding of where healthcare administrative systems break in practice rather than in theory. That operational perspective shapes how Manta builds: focused on fitting into existing clinical workflows, producing measurable outcomes quickly, and not disrupting care delivery in the process.
Under his leadership, Manta serves specialty procedural practices in ophthalmology, gastroenterology, orthopedics, urology, and ambulatory surgery centers. Customers have reported results including a 75% reduction in prior authorization approval cycle time, PA specialist headcount reductions from 5 to 1, and authorization determination dropping from 30 minutes to under 10 seconds per case.
Conor writes on prior authorization reform, Medicare Advantage complexity, and the category he is building: Coverage Intelligence.
Specialty practices lose revenue before a claim is ever submitted. Eligibility errors get missed at intake. Prior authorizations are filed late or with incomplete documentation. Patient cost estimates are calculated manually and often wrong. Patients leave without paying anything. None of this shows up cleanly in a denial report because most of it never reaches billing at all. Manta exists to close that gap with automation that operates before the patient walks in.
Coverage Intelligence is the category of software that protects revenue before care is delivered. It covers everything from verifying what a payer will cover for a specific patient and procedure, to completing the prior authorization, to calculating what the patient owes and collecting it upfront. Most practices handle this work manually, across fragmented systems, with staff making phone calls. Coverage Intelligence replaces that with AI that interprets payer requirements and acts on them in real time.
Most RCM tools operate downstream. They help practices manage claims after they're submitted and resolve denials after they occur. Manta operates upstream, before care is delivered, in the pre-service window where most revenue risk actually originates. The distinction matters because a denial that reaches an appeals queue costs far more to recover than an authorization gap that gets caught before the procedure is scheduled.
Specialty procedural practices with high-frequency, repeat CPT workflows and significant prior authorization volume. Ophthalmology, GI, orthopedics, urology, ENT, and surgery centers are the core segments. These practices typically have Medicare-heavy payer mixes, documentation-intensive authorization requirements, and pre-service administrative workflows that don't scale without automation.
Rocky Mountain Eye Center reduced their PA specialist team from 5 to 1 while cutting authorization approval time by 75%. Northstar Medical Management went from 30 minutes per case to under 10 seconds on prior auth determination and reduced payer phone calls by 93%. Those are the outcomes that come from treating coverage complexity as an intelligence problem rather than a staffing one.
Say goodbye to faxes, lengthy phone calls, and tedious RCM admin.
