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About Gigasheet
What is Gigasheet?
Gigasheet is a cloud-based analytics platform built specifically for healthcare price transparency data. It processes billions of payer rates and millions of rows in seconds, without the need for complex data engineering. The platform combines a spreadsheet-like interface with AI-powered insights, making it easy for users to benchmark rates, spot reimbursement trends, and identify pricing anomalies.
Who is it for?
Gigasheet is designed for providers, payers, self-insured employers, benefits partners, MedTech and life science companies. It is not for casual spreadsheet users or those needing simple data entry. Instead, it empowers professionals who need to make data-driven decisions in network development, contract negotiation, market access, and benefits evaluation.
Real use cases
Providers use Gigasheet to negotiate stronger payer contracts by comparing competitor rates. Payers and plans build networks and research providers with clean, actionable price data. Self-funded employers evaluate plans and analyze networks. MedTech and life science sales teams uncover real-world reimbursement rates to support forecasts and pricing strategies.
Key features
- National coverage — Access billions of payer rates and thousands of contracts at scale.
- AI-powered insights — Get interactive intelligence reports without manual data wrangling.
- Spreadsheet-like interface — Navigate and analyze large datasets intuitively.
- API access — Integrate high-performance analytics into your own workflows.
- Traceable data — Every insight links back to the original machine-readable files.
- Quick analysis — Run complex queries across national data in seconds.
- Role-specific solutions — Tailored tools for providers, payers, self-insured, and MedTech.
SaaSpartout Score
7.5
/10
Editorial score from our review methodology — not user ratings.
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Gigasheet Pricing
Gigasheet pricing: from $0. Billing model: Freemium.
Free Trial
Start with a free trial to explore Gigasheet's capabilities with your own data.
Premium Individual
Cost-effective plan for self-service users. Analyze 25-75 million rows, store 25-75 GB, merge files in bulk, use spreadsheet functions, and more. JSON files not supported. Includes email support. Purchase directly online with monthly billing or discounted annual pricing.
MRF Viewer
Built for self-service analysis of Machine-Readable Files. Transform massive JSON into flat table spreadsheet-like analysis on-the-fly. Ideal for teams working with hospital-published price transparency data. Annual commitment required.
Enterprise / Custom
For organizations needing national coverage, scored & benchmarked rates, and expert support. Request pricing for tailored solutions.
Frequently asked questions
Is Gigasheet free to use?
Yes, Gigasheet offers a free trial. For ongoing use, there is the Premium Individual plan starting at $0 (see pricing for details) and an MRF Viewer plan with annual commitment.
How much does Gigasheet cost?
Gigasheet's pricing starts at $0 for a free trial. The Premium Individual plan is available for direct purchase, and MRF Viewer requires an annual commitment. For full access to healthcare price intelligence, request pricing.
Who is Gigasheet best for?
Gigasheet is best for providers, payers, self-insured employers, benefits partners, and MedTech or life science companies that need to analyze large healthcare price transparency datasets for contract negotiation, network development, or market access.
Can Gigasheet handle large CSV files?
Yes, the Premium Individual plan supports analyzing 25-75 million rows and storing 25-75 GB of data, making it suitable for large tabular files. JSON files are not supported in that plan.
Does Gigasheet have an API?
Yes, Gigasheet provides API access, allowing you to integrate high-performance analytics into your own workflows.
What are the main alternatives to Gigasheet?
Alternatives include traditional BI tools like Tableau or Power BI, but Gigasheet uniquely focuses on healthcare price transparency data with AI-driven insights and traceable source files.
