Rightway raises $155 million to expand AI-powered pharmacy benefits platform
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Rightway raises $155 million to expand AI-powered pharmacy benefits platform

Rightway has successfully raised $155 million in a Series E funding round. The round was led by Francisco Partners, with participation from existing investors Thrive Capital and Khosla Ventures. The funds will be used to support the company's next stage of growth.

Rightway provides pharmacy benefit management (PBM) and healthcare navigation services to employers. The company currently serves 45 Fortune 500 companies. Its platform integrates pharmaceutical expertise, care navigation, technology, and negotiated financial incentives to help combat rising prescription drug costs.

The company aims to assist employers in controlling costs while simultaneously improving the healthcare experience for plan members. It is noted that prescription drug spending among large US employers increased by 9.4% in 2025, and overall health insurance spending grew by 6% over the same period. Furthermore, prescription drugs are projected to become the fastest-growing category of healthcare expenditure.

Rightway's financial model is built on ensuring greater transparency, as its approach eliminates profit incentives derived from increasing pharmacy service costs. This model is supported by the SureSpend platform, which includes a Precision Pricing Guarantee setting a maximum limit on pharmacy expenses.

The system also offers Zero-Markup Wrap coverage for categories typically excluded from pharmacy cost guarantees, such as GLP-1 drugs and rare, high-cost medications. Rightway provides these categories at actual net cost and passes 100% of the discounts received on to employers.

The financial model works in conjunction with clinical support: pharmacists guide plan members toward appropriate, lower-cost medications and treatment options. Rightway asserts that this approach solves cost issues across the entire pharmacy supply chain and helps members make more informed decisions regarding their healthcare benefits.

The company also plans to enhance the technological foundation of its pharmacy benefit model by utilizing artificial intelligence (AI) to support clinical workflows and member navigation. Pharmacists will maintain their role in assisting members with understanding medications and treatment options.

Kirin Devlin, Rightway's Director of Pharmacy Services, noted that this model allows pharmacists to dedicate more time to clinical work, enabling them to focus on helping members find suitable treatments and resolving medication-related issues. The company is also expanding its healthcare navigation services.

Plan members can receive support in finding quality care and utilizing their medical benefits. Rightway states that its technology is capable of reducing administrative costs across the entire healthcare ecosystem while simplifying healthcare decision-making for both members and plan sponsors.

The Rightway platform combines automated technology with human clinical expertise. This model is designed to ensure cost savings without compromising personalized member support. The platform also links pharmacy benefits with broader healthcare navigation.

Francisco Partners emphasized that employers are increasingly demanding greater accountability from healthcare partners, highlighting the growing demand for transparency and value. Ezra Perlman, Co-Chair of Francisco Partners, commended Rightway's technology and clinical competence, stating that this model could drive further growth among large employers.

Rightway was initially founded around pharmacy navigation and member support. Now, its platform covers a significant portion of large US employers; the company reports that nearly 10% of Fortune 500 companies have transitioned their pharmacy benefits to the Rightway model. The current client base includes 45 Fortune 500 companies. The new funding comes amid ongoing pressure on healthcare costs from employers. Rightway intends to deepen its penetration among employers, expand its technologies, and strengthen its AI-based infrastructure.

The company's broader goal is to make pharmacy costs more predictable and transparent. The attracted capital will provide additional resources for this expansion and support Rightway's strategy of integrating pharmacy management with care navigation.

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Ande raises $52 million to scale its AI-powered corporate entertainment network
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Ande raises $52 million to scale its AI-powered corporate entertainment network

Ande, which has emerged from stealth mode, announced the raising of over $52 million in funding, combining seed and Series A rounds. Leaders of this round included Lightspeed Venture Partners, Redpoint Ventures, Duration Ventures, and Sierra Ventures; Bain Capital Ventures also participated in the financing.

The company's main goal is to service large enterprises' expenses for corporate events. These expenses include client dinners, team outings, sporting events, catering, and corporate gifts. Enterprises are estimated to spend around $325 billion annually on such activities.

Despite significant spending, the booking process remains fragmented across various systems. Ande solves this problem by integrating all these activities into a single corporate platform. Employees can book experiences while finance and legal departments maintain control over expenditures. The company spent two and a half years digitizing venue data.

The platform uses agent workflows to automate administrative tasks. These workflows can identify suitable venues, route requests for approval, and manage contracts. Furthermore, they support payments and expense reconciliation, significantly reducing manual work for teams managing corporate entertainment programs.

Ande provides a shared workspace for employees involved in corporate entertainment. Executive assistants and office managers can handle requests alongside marketing teams. Managers can also participate in approval processes through the same platform. Then, AI agents advance requests through stages of approval, signing, and payment.

Currently, the platform is used by over 60 enterprises. Among Ande's clients are Cloudflare, Salesforce, McGraw Hill, and Netskope. Other clients include Navan, Sigma Computing, Monday.com, Workato, and Semgrep. These clients account for over $400 million in annual entertainment spending through Ande, with clients reporting savings of 12% to 15%.

The platform also provides teams with better transparency regarding their entertainment programs. Ande's model addresses both sides of each transaction: companies gain procurement infrastructure, and venues gain access to corporate buyers. The company has also trained its AI model for enterprise-specific entertainment workflows.

Ande's network includes over 93,000 entertainment venues, and currently, more than 1,600 hotel properties are direct partners of the platform. Partners include Altamarea Group, Che Fico, and Gracious Hospitality. Other partners include JKS and The Mina Group. Tao Group Hospitality and Wolfgang Puck are also among its hospitality sector partners. Ande provides these companies access to corporate clients through a single distribution channel, as venues traditionally lacked specialized corporate sales networks.

Ande aims to fill this gap through its marketplace. The platform allows venues to offer their services to corporate buyers and interact with companies and manage transactions through the network. This forms a two-sided model for Ande.

Enterprises gain easier access to venues, and the hospitality industry gains corporate demand. Ande's new funding will be directed towards further developing its native AI platform, as well as expanding its network among corporate buyers and venues.

CEO Lohit Sarma emphasized that entertainment plays an important role in business relationships, highlighting its significance for culture, sales, and client interaction. Venture investors also see opportunities in this fragmented market.

Arif Janmohamed from Lightspeed Venture Partners described Ande as a bridge between companies and venues. Alex Bard, Managing Director at Redpoint Ventures, noted Sarma's experience in the enterprise space and the founder's ambition. Ande positions itself as the infrastructure for corporate entertainment, and its AI agents are designed to reduce the administrative burden across the entire booking process. The company's growth will depend on expanding both sides of its network.

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Positron AI raises $875 million to scale AI inference hardware
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Positron AI raises $875 million to scale AI inference hardware

Positron AI has successfully raised $875 million in a Series C funding round, valuing the company at $5 billion. The company's core business involves developing hardware that makes the artificial intelligence inference process more energy-efficient and cost-effective.

The funding was secured in two stages: first, a Series C round of $375 million was closed, followed by a Series C-1 round of up to $500 million. The main round was led by NEA, Atreides Management, and Valor Equity Partners, with co-leads from Andra Capital and SemiAnalysis Capital participating. The second tranche was led by Jim Clark, founder of Silicon Graphics and Netscape, with participation from several institutional and strategic investors.

The capital raised will allow Positron to significantly expand its growing business in inference and add several experienced technology investors to its board of directors. Forest Basket from NEA and Gavin Baker from Atreides Management will join the board. Thomas Germoluk and Dylan Patel will also become directors.

As AI workloads increasingly shift towards inference, infrastructure is necessary for the continuous operation of models by every AI assistant, agent, and helper. Positron focuses on solving memory and power issues arising from this growth. The company's systems are designed with an emphasis on bandwidth and memory capacity, rather than raw computational power.

The company's next-generation systems utilize standard LPDDR5X memory, which reduces dependence on constrained high-performance memory supply chains. Positron claims its systems can achieve over 90% of available memory bandwidth.

Furthermore, the company focuses on high performance in tokens per dollar and tokens per watt metrics. Positron's architecture supports both air-cooled and liquid-cooled data centers, giving customers flexibility in deploying systems across various rack densities.

Positron already has clients using the first version of the Atlas system. Over 50 Atlas racks have been deployed in Oracle Cloud Infrastructure, where Parasail uses this power for its own inference services. Jump Trading and i3d.net are also production clients of Atlas.

The new funding will be directed towards developing the next generation of silicon chips. The Asimov chip is scheduled for fabrication using TSMC's N3P process by the end of 2026; TSMC describes N3P as an improved 3nm process. Production of Asimov is slated for the second half of 2027. Each Asimov chip will support between 288 GB and 2304 GB of memory, meeting the demands of increasingly complex AI inference workloads.

The Titan system will integrate four to eight Asimov chips into a single system and is designed to support models exceeding 16 trillion parameters. Titan will also target context windows exceeding 10 million tokens and can scale to thousands of nodes for larger deployments. Positron also plans to build a data center engineering facility with a capacity of over 2 MW and an emulation platform to support development, testing, and manufacturing readiness.

Positron intends to use the funds to secure LPDDR5X supply commitments, as well as to increase manufacturing capacity and system integration. Go-to-market operations will expand in parallel with production, helping the company meet the growing demand for inference infrastructure.

CEO Mitesh Agrawal noted that the Atlas deployments provided valuable customer insights that influenced the design of Asimov and Titan. The company is currently in a demanding execution phase, requiring it to complete silicon development while simultaneously scaling production and customer adoption.

Positron's strategy is focused on the economic efficiency of AI model operation. Its memory-centric architecture aims to reduce both energy consumption and infrastructure costs. The $5 billion valuation reflects investor confidence in the inference market.

Inspiren raises $70 million to expand AI-based elderly care platform
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Inspiren raises $70 million to expand AI-based elderly care platform

Inspiren has successfully raised $70 million in a Series C funding round, which will be used to develop its artificial intelligence-based platform for elder care. This round increased the company's valuation to over $500 million, bringing the total amount raised to $225 million.

NewView Capital led this round, with participation from Insight Partners and Primary Venture Partners. Funding was also secured from Scale Venture Partners, Vintage Investment Partners, Lightbank, Avenir Growth Capital, Story Ventures, and Camber Creek. Inspiren emphasized that this is the largest funding round in the company's history and represents its highest valuation since its inception.

The company develops technological solutions for operators, communities, and residents of elderly care facilities. The platform's main focus is improving the quality of medical care by obtaining real-time data from AI. Inspiren uses physical AI to analyze activity in the residents' environment, integrating environmental data with information about the residents and the community. This allows care teams to have a more complete context before a situation escalates into an emergency.

The technology addresses a growing problem in nursing homes: the rapid increase in the population over 85 in North America, coupled with the increasing clinical complexity of new residents, which places additional strain on already overburdened care teams. Inspiren aims to act as an amplifier for these teams by identifying events that might otherwise go unnoticed.

Clients of the company have reported noticeable improvements in several communities. For instance, Aegis Living recorded that residents who used Inspiren's services spent 34% more time in the facility. Furthermore, the operator reported a 22% reduction in falls, and injuries among participating residents decreased by 24%. Clearwater Living demonstrated a 63% reduction in falls resulting in injury, and emergency room visits following falls dropped by 73%.

Solera Senior Living also noted similar positive changes at Lumina Las Vegas. A ten-month study found that the frequency of falls decreased by 48%, and hospitalizations reduced by 54% during the study period. Staff response time also improved by 50%.

Recently, Inspiren expanded its eCall solution by adding two-way voice communication and claim registration features. These capabilities allow care teams to receive information immediately after a resident requests help, enabling staff to assess the situation and know who is providing support.

The functionality is being implemented in communities using Inspiren. The company plans to gradually add more intelligent features. Currently, Inspiren supports care systems in communities representing over 80% of the largest investors in the senior long-term care sector.

Inspiren's clients include AEW and Sabra Healthcare REIT. Operators using the platform include Arrow Senior Living and Ascent Living Communities. Inspiren is also utilized by organizations such as Heritage Communities, Thrive Senior Living, and Wellpointe. The company has received recognition for innovations in technology and workplace.

Inspiren intends to use the new capital to expand market entry operations and promote its hardware ecosystem and AI capabilities. Plans include expanding the range of events that can be detected, predicted, and responded to by models to support various scenarios in elderly care communities.

The company was founded in 2016 by Michael Wang, who previously served in the Green Beret and worked as a cardiothoracic nurse. Alex Heinosz leads the company as CEO. The platform provides analytics for fall detection, behavioral alerts, and care service utilization. Its privacy-focused design is also aimed at preserving residents' dignity. According to NewView Capital, this technology has the potential to improve clinical outcomes and community economics, and this combination strengthens the case for physical AI.

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