Revenue cycle · Price transparency & contract intelligence
Turquoise Health
Turquoise Health is a price transparency and contract intelligence platform that benchmarks negotiated rates, analyzes payer contracts, and builds patient price tools for providers, payers, and employers.
Strong fit
- Health systems that negotiate payer contracts and want market rate benchmarks
- Payers, employers, and brokers comparing negotiated rates across markets
- Hospitals that want rate file compliance and patient price tools from one vendor
Weak fit
- Small practices that need a billing system or clearinghouse
- Buyers who need a published price before a demo
- Teams with no one to act on rate and contract findings
Bottom line
Turquoise Health turns public price transparency files into rate benchmarks, contract analysis, and patient price tools. It suits health systems, payers, and employers that negotiate rates and want market data at the table. Expect a quoted price and plan for an analyst to use it.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Chris Severn and Adam Geitgey launched Turquoise Health in 2020, as federal rules began forcing hospitals to publish their negotiated rates. Severn had worked in revenue cycle at Cloudmed, and Geitgey had led engineering teams at Groupon. The San Diego company first hosted hospital price pages and cleaned up the new rate files.
The platform has since moved from rate data into contracts. Market Intelligence benchmarks negotiated rates by market, payer, and code. Contract Intelligence compares a system's own rates and terms with its market, and Precision Contracting models negotiation scenarios and expected payments.
Turquoise Health also builds and maintains the machine-readable rate files that hospitals and plans must post. It sells white-label price tools that let patients compare services before they book. AskTQ, its AI assistant, answers pricing and contract questions inside the platform.
Turquoise Health says more than 300 organizations use it, including 10 of the 25 largest health systems and nine of the 10 largest drug makers. It says UNC Health saved about $2 million in a single negotiation and cut contract merger analysis from two weeks to one day. New York City launched its health care price comparison tool with Turquoise in 2026.
Oak HC/FT led a $40 million Series C in March 2026, with Andreessen Horowitz and Adams Street Partners investing again. Turquoise Health says its next goal is one auditable rate agreed before a claim is filed, so patients can see a firm price up front.
Serif Health fits when the main need is clean rate data through dashboards or APIs at a smaller scope. MD Clarity fits specialty groups that want underpayment recovery and patient estimates in one tool.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Turquoise Health | 7.8 | 7.4 |
| Serif Health | 7.3 | 7.6 |
| MD Clarity | 6.9 | 6.7 |
Pricing
| Item | Detail |
|---|---|
| Model | Turquoise Health quotes each customer a price based on the plan and scope. |
| What usually drives cost | For Turquoise Health, cost depends on the plan you pick (Market Intelligence, Contract Intelligence, or Precision Contracting), how many markets and contracts you load, and whether you add its rate file service or patient price tools. |
| What to ask before you buy | Ask Turquoise Health for the yearly cost of each plan, what counts as a user or a contract, and what the rate file service adds. |
| Note | Turquoise Health offers free rate search for researchers, journalists, and community health groups. |
| Published pricing | Turquoise Health does not publish a price list. |
Leadership
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.