Gigasheet provides negotiation-ready Healthcare Price Intelligence that cleans and benchmarks price transparency data to compare payer-published negotiated rates with local market medians, showing whether commercial payers are paying comparable providers more, less, or about the same for the same CPT codes in the same local market.
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Before the next payer negotiation, provider teams should know more than their own historical rates. Internal claims data tells you what you were paid. Medicare percentag…
Company
Gigasheet
Data-Driven Growth for Healthcare
- Industry
- Software Development
- Location
- Washington DC Area, US
- Company size
- 2–10 employees
About Gigasheet
Gigasheet is a healthcare analytics platform that turns complex price transparency data into clear, actionable market intelligence. We help providers, payers, self insured employers, and MedTech and life sciences teams analyze negotiated rates, benchmark performance, and spot opportunities to strengthen contracting and network strategy. The platform processes large machine readable files at scale, applies proprietary cleaning algorithms, and presents the results in an intuitive spreadsheet interface. AI powered analytics highlight savings opportunities automatically, allowing teams to compare rates, identify competitive gaps, and move faster without heavy data engineering or long consulting cycles.
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Latest activity from Gigasheet
6 signals
Research & Knowledge
Gigasheet published its latest breakdown explaining why anesthesia is one of the clearest examples of price transparency data problems and how normalized transparency data supports benchmarking across payers and geographies.
Research & Knowledge
Gigasheet conducted an analysis reviewing 358.9M negotiated-rate records across 7,427 ambulatory surgery centers in all 50 states to benchmark national facility rates for five common ASC procedures.
Research & Knowledge
Gigasheet published a guide breaking down how to compare ASC reimbursement rates in 2026, including benchmark cuts, payer and geography shifts, Medicare context, raw rate data misdirection, and negotiation and strategy inputs.
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