BlogConcentrate AI launches a HIPAA-compliant AI gateway: GPT, Claude, Gemini and open-weight models under one BAA and one API, with no token markups.
Concentrate.ai
New offering gives healthcare companies access to frontier and open-weight AI models with built-in governance, no token markups and no annual inference spend commitments.
LLM Gateway
Change models, providers, add fallbacks, and more by running all AI usage through one platform.
Read the official press release on EZ Newswire.
NEW YORK, November 12, 2026 - Concentrate AI today announced its healthcare AI gateway, giving healthcare and life sciences companies access to leading frontier and open-weight AI models through a single API and BAA. By managing agreements and access to covered inference services from participating AI providers, Concentrate helps companies avoid the time and expense of negotiating separate contracts and integrating multiple model providers.
The offering supports eligible models from providers including OpenAI's GPT, Anthropic's Claude, and Google's Gemini through Vertex AI, along with open-weight alternatives that can reduce inference costs.
The launch follows conversations with more than 70 healthcare and life sciences companies, highlighting growing demand for simpler, more affordable access to AI models that meet healthcare security and compliance requirements.
"Healthcare companies should not have to choose between better AI models, lower costs and protecting patient data," said Ari Jacoby, co-founder and CEO of Concentrate AI. "We're removing the barriers to AI adoption so developers can spend less time managing infrastructure and get new AI-powered healthcare products to market faster."
"As organizations move AI applications into production, model access is becoming a core application platform concern. Development teams want the flexibility to adopt new proprietary and open-weight models as price and performance change, yet each additional provider brings new contracts, security reviews, and integration work," said Matthew Flug, research manager Intelligent Application Modernization and Deployment Platforms at IDC. "In regulated industries such as healthcare, that overhead often delays or prevents model adoption altogether. AI gateways are emerging as a consistent control point in the application platform stack, giving developers one place to route requests, apply governance and access policies, and manage inference spend across providers."
Greater model choice lets healthcare companies select more affordable AI models for suitable workloads, improving margins and making previously cost-prohibitive AI applications viable.
Since launch in June 2026, Concentrate has processed hundreds of millions of requests and trillions of tokens across its platform, supporting customers like Brilliant, Nextiva, Pocket, Proximal, and Tiger Data. It is now working with more than a dozen healthcare companies, including Kinstead, which develops technology to help nurse practitioners launch and manage independent practices, and Hummingbird Healthcare, which helps health systems using Epic improve patient access through technology and managed services.
"At Kinstead, we're building technology to make running a healthcare practice easier. Before Concentrate, the compliance and operational overhead of onboarding new AI providers meant we often wouldn't even consider trying new models," said Nick Catalano, CTO, Kinstead. "Now we can evaluate and deploy new models into production without managing separate vendor relationships and integrations. That lets us focus on building better products, move faster, and keep costs down without compromising compliance."
Beyond model access, Concentrate provides managed LLM operations, including spend management tools, observability, and enterprise governance. Its platform is backed by a SOC 2 Type II report and offers security features such as role-based access controls (RBAC), single sign-on (SSO), supported zero-data-retention (ZDR) endpoints and multi-cloud resiliency.
Healthcare access is $499 per month, with inference billed at provider rates and no token markups or annual inference spending commitments. For suitable workloads, switching to lower-cost open-weight models can reduce inference costs by up to 70%, depending on performance and latency requirements.
The same model access, governance and cost controls apply to other regulated industries that handle sensitive data, including legal tech, insurtech and fintech.
One legal tech customer had been paying roughly $10,000 per month for Legora and Harvey. With Concentrate, its team can instead run open-source agent tools, use Claude Code, or build its own agent harness on top of direct model inference, at a fraction of the cost. Concentrate has already signed a growing number of customers in these industries with similar needs.
Healthcare AI is attracting significant investment, but cost and compliance remain obstacles to adoption. According to Rock Health, U.S. digital health startups raised $14.2 billion in 2025, with AI-enabled companies accounting for 54% of funding.
Yet a 2025 study by Bessemer Venture Partners, Bain & Company and AWS found that only 30% of completed generative AI proof-of-concept projects at surveyed healthcare organizations reached production, with security concerns and costly integrations among the barriers.
Concentrate's gateway is open to any organization that handles PHI, PII or other sensitive data, including healthcare, legal tech, insurtech and fintech companies, under a single agreement with Concentrate. Model coverage is limited to supported inference routes and configurations.
Learn more or request a demo at concentrate.ai/hipaa-llm-api.
Based in New York City, Concentrate AI provides a fully managed LLM gateway that provides companies unified access to leading AI models through a single API. Its platform combines security, governance, compliance, spend controls and production reliability to help companies build and scale AI applications responsibly, without token markups or vendor lock-in. Learn more at concentrate.ai. Press contact: [email protected]