Nara Health has raised $14 million across pre-seed and seed rounds led by Khosla Ventures, betting that AI can do more than automate administrative tasks in employer-sponsored health insurance. The startup is combining benefits administration, claims processing, care coordination and member support into an AI-native third-party administration platform designed to change how employers manage healthcare costs and how employees access care.
Nara Health is taking aim at one of the least digitized parts of the U.S. healthcare system: the infrastructure connecting employers, health plans, healthcare providers and patients.
The company announced $14 million in total funding across pre-seed and seed rounds led by Khosla Ventures, with participation from Long Journey Ventures, Superior Studios and other investors and angels. The new capital will support Nara’s product development and expansion as it attempts to make AI a core operating layer for employer-sponsored health plans.
The opportunity is substantial. Employer-sponsored insurance remains the dominant source of coverage for working-age Americans, while the cost of providing that coverage continues to rise. KFF’s 2025 Employer Health Benefits Survey found that the average annual premium for family coverage reached $26,993, up 6% from the previous year. Workers contributed an average of $6,850 toward those premiums.
Behind those costs sits a complex administrative system involving claims, provider contracts, prior authorizations, benefit rules, prescription information and member communications. Nara Health’s thesis is that much of that infrastructure can be redesigned around software and AI rather than simply digitized one process at a time.
The company operates as a third-party administrator, or TPA, handling the administration of employer health plans. Its platform combines plan design, claims administration, care navigation and member support instead of separating those functions across multiple vendors.
That integration is central to Nara’s pitch. Conventional health-plan administration often relies on fragmented systems and historical claims data, which can make it difficult to understand what a member needs in real time. Nara says its platform combines medical claims, prescription information, electronic medical records and member interactions across calls, texts and email.
The company describes the system as an “air traffic control” layer for employer health plans. Its agentic care-coordination technology is intended to identify signals across those data sources, help direct members toward appropriate care and connect decisions about benefits with the actual healthcare journey.
That puts Nara in a broader category of healthcare AI companies attempting to move beyond administrative automation. McKinsey estimates that AI, generative AI and other technologies could reduce administrative costs for health payers by 13% to 25% and medical costs by 5% to 11%, although those figures represent potential industry-wide savings rather than results achieved by Nara.
The underlying cost problem is larger still. McKinsey estimates that administrative spending accounts for about 25% of more than $4 trillion in annual U.S. healthcare spending. CMS separately reported that national health expenditures reached $5.3 trillion in 2024, or $15,474 per person.
Nara’s approach also differs from simply applying an AI assistant to an existing insurance portal. The company says it supports alternative plan designs such as direct provider contracts, cash-pay arrangements, reference-based pricing and direct primary care. Those models can potentially give employers more control over provider pricing and healthcare spending, although savings vary substantially by plan design, workforce and market.
The startup says it has more than 25,000 members and has processed over $600 million in claims. It also claims that employer plans using its platform have reduced costs by more than 50% compared with the employers’ previous-year plans.
Those results are company-reported and should not be interpreted as evidence that every employer would achieve comparable savings. One customer, Advanced Medical Pricing Solutions, says its benefits costs fell 55% year over year after moving from a level-funded arrangement to self-insurance with Nara Health. Again, that is an individual customer case rather than an independently controlled comparison.
Nara also highlights operational differences in its member experience. It says calls are answered in an average of five seconds and that prior authorization can be completed the same day, compared with a cited industry turnaround of several days.
The bigger technology question is whether AI can safely coordinate decisions involving sensitive health information and financial consequences. Healthcare AI platforms must contend with privacy, regulatory compliance, clinical accuracy, explainability and the risk of automated decisions producing inappropriate outcomes.
That makes Nara’s model more complicated than deploying a generative AI chatbot. The company needs to connect AI systems to claims infrastructure, provider networks, benefit rules and member records while maintaining appropriate human oversight.
The competitive environment is also becoming crowded. Large insurers such as UnitedHealth Group, Elevance Health and Cigna are investing heavily in digital and AI capabilities, while healthcare technology companies are developing specialized tools for claims automation, care navigation and utilization management. General-purpose cloud and AI providers including Microsoft, Google and Amazon are also supplying the infrastructure behind healthcare AI applications.
Nara’s potential differentiation is therefore its position across the entire employer health-plan workflow. If it can combine alternative plan economics with AI-powered administration and care coordination, it could become more than another healthcare automation vendor.
The funding gives the company room to test that thesis at a larger scale. For employers facing rising premiums and increasingly complex benefits administration, the attraction is straightforward: use AI not merely to answer questions, but to redesign the machinery through which healthcare is purchased, administered and accessed.
Market Landscape
Employer health insurance is under growing cost pressure. KFF reported that average family premiums reached $26,993 in 2025, with workers contributing $6,850 on average. Family premiums increased 26% over the previous five years.
At the same time, healthcare administration remains a major technology opportunity. McKinsey estimates that AI and automation could produce 13%–25% net administrative savings for health payers and 5%–11% medical-cost savings using currently available technologies.
Nara is entering this market with an AI-native TPA model rather than a standalone claims or member-engagement product. Its strategy connects plan design, claims, care navigation and member support, potentially giving it more control over the end-to-end employer healthcare experience.
The challenge is that healthcare AI operates in a high-stakes environment. Scaling the model will require strong privacy protections, regulatory compliance, reliable data integration and safeguards around automated decisions.
Top Insights
- Nara Health is using AI to combine health-plan administration, claims, care coordination and member support in one platform.
- The startup’s $14 million funding round comes as employers face rising premiums and increasing pressure to control healthcare spending.
- Nara reports more than 25,000 members and $600 million in processed claims, indicating early traction in employer-sponsored health plans.
- Its reported cost reductions are substantial, but the figures are company and customer claims rather than independent comparative studies.
- The company’s biggest challenge may be proving that agentic healthcare administration can scale without compromising privacy, compliance or decision quality.
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