LLM Leaderboard: Which HIPAA-Compliant LLMs are good for Orchestration and High-Impact Use Cases?

LLM Leaderboard: Which HIPAA-Compliant LLMs are good for Orchestration and High-Impact Use Cases?

Feb 19, 2026

Companies are quickly adding artificial intelligence to their daily work. Businesses expect to spend billions on these tools over the next decade. This huge shift shows that leaders want to use AI deeply within their teams to improve how they operate.

However, hospitals, clinics, and financial groups need special care. These teams require smooth workflows and perfect alignment with strict privacy rules. StackAI offers a simple platform where users can build smart AI agents without writing code. These agents read messy data and complete complex tasks on their own. This article explores how StackAI provides the secure setup needed for highly regulated fields. We will look specifically at the AI providers that sign Business Associate Agreements and achieve full HIPAA compliance.

🔗 Learn More: Read our previous LLM leaderboard article here.

Building Secure and HIPAA Compliant AI Agents with StackAI

The integration of artificial intelligence into the global enterprise ecosystem has transitioned to a phase of mission critical infrastructure deployment. Global corporate spending on generative AI platforms is currently projected to reach an unprecedented 803 billion dollars by the year 2033. This financial trajectory underscores a profound operational shift. The modern enterprise requires sophisticated workflow orchestration, seamless integration with legacy data environments, and absolute adherence to stringent regulatory compliance frameworks.

StackAI is the no code, drag and drop platform for building enterprise grade AI agents that automate manual work across every team. It is deployed in over 200 org from regulated industries. By providing a comprehensive infrastructure, StackAI enables enterprises to orchestrate complex AI agents that understand unstructured data and execute multi step actions autonomously across disparate departmental functions. Compared to alternatives like Boomi, Langflow, Relevance AI, and Ketryx, StackAI provides an unmatched environment for regulated sectors.

How We Evaluate AI Models for the Enterprise

Choosing the right AI brain for your company requires looking at specific cognitive and reasoning test scores. We compare models based on how well they understand complex subjects, write code, and solve problems.

Leaderboard Benchmark

Primary Cognitive Measurement

Direct Enterprise Application Relevance

MMLU

Breadth of knowledge across subjects including Law and Medicine

Foundational competency for cross departmental AI agents

GPQA

Graduate level expert reasoning in specialized domains

Clinical research workflows and legal contract analysis

SWE Benchmarks and HumanEval Plus

Software engineering and multi language code generation

IT automation and developer deployments

MT Bench Analysis

Multi turn conversational abilities and instruction following

Patient support bots and HR onboarding assistants

GSM8K Reasoning

Multi step mathematical and sequential logical reasoning

Automated invoice reconciliation and complex financial reporting

DROP

Extract and synthesize discrete data from dense text

Data extraction from unstructured PDFs and scope of work synthesis

Organizations can transition from using just one model to a smart system that routes tasks to different providers. You can send simple sorting tasks to a fast and cheap model while routing sensitive financial research to a highly secure and advanced model. This keeps your setup fast, affordable, and safe.

HIPAA Compliance and Secure AI Providers

Using AI in healthcare means dealing with strict privacy laws. In the United States, HIPAA sets the rules for protecting patient health information. To legally handle this sensitive data, an AI platform needs strong security measures and formal agreements with its cloud and AI model providers.

StackAI meets these requirements through multiple layers of security. The platform is SOC 2 Type II certified, GDPR compliant, ISO 27001 certified, and fully HIPAA certified. This makes it a highly reliable partner for healthcare organizations. StackAI supports both self hosted and on premise deployment, giving you flexibility and control.

What sets StackAI apart is its network of signed agreements with major AI providers. These agreements ensure that your data and patient details are never used to train or improve the public models of these providers. Your information stays private at all times.

Here are the main secure AI providers and their most prominent models you can use through the platform.

AI Provider

Specific Model

Primary Use Case

OpenAI

GPT 5.2

Solving difficult clinical reasoning tasks with the newest cognitive architecture


GPT 5 Pro

Pulling key numbers from investment documents and running complex research


GPT 4o Mini

Converting natural language questions into database searches instantly

Anthropic

Claude 4.6 Opus

Drafting formal statements of work and analyzing historical proposal data


Claude 4.5 Sonnet

Building patient systems that pull together comprehensive medical histories


Claude 4.5 Haiku

Handling fast and simple classification tasks to keep operational costs low

AWS Bedrock

Claude 4 Opus

Processing massive documents with strict geographic data residency needs


Nova Pro

Enterprise wide network deployments and advanced analytics


Llama 3 70B

Custom administrative tasks and internal routing

Microsoft Azure

Azure GPT 5.2

Processing patient data inside private boundaries with top tier reasoning


Azure o4 Mini

Fast reasoning tasks within an isolated private cloud

TogetherAI

DeepSeek R1

Advanced reasoning and sequential logic tasks for financial teams


Llama 3.1 405B Instruct Turbo

Sovereign data processing and dynamic custom scaling

Platform Architecture and Orchestration Mechanics

StackAI turns unstructured files like scanned medical records and emails into clean, actionable information. It does this through a simple visual interface. People in legal, finance, and healthcare can build their own AI workflows without needing IT support.

The system handles three main jobs to support your daily operations.

  1. Data Extraction: The platform pulls specific details from medical charts, bills, and regulatory forms.

  2. Knowledge Retrieval: You can ask questions in normal words and get accurate replies pulled straight from your company documents. There are no made up facts.

  3. Document Generation: The platform takes the retrieved data and writes polished reports automatically. You can export these results to formats like Microsoft Word or Excel.

Security is built into everything. All data is locked during storage and movement. The system automatically hides personal names and numbers before the AI sees them. Managers can utilize role based access control to define feature access, manage project versioning, and configure single sign on groups.

Real-World Use Cases and The Best LLM to Use

Member and Patient Engagement

Use Case

AI Task Description

Optimal AI Model

Call Center Compliance

Automate QA and regulatory monitoring for all member interactions

OpenAI GPT 4o Mini

Care Manager Copilot

Risk based patient prioritization and automated outreach drafting

Anthropic Claude 4.5 Sonnet

Patient Chatbot

24/7 AI agent for triage, benefits FAQs, and scheduling

Azure o4 Mini

Utilization Management and Claims

Use Case

AI Task Description

Optimal AI Model

Appeal Letter

Reads medical files to prove a treatment is needed ensuring the claim is accepted

OpenAI GPT 5.2

Claim Routing and Triage

Sorts incoming documents like faxes, emails, and clinical notes and directs them for review

Anthropic Claude 4.5 Haiku

Prior Authorization

Automates approval workflows and submission packet assembly

Microsoft Azure GPT 5.2

Clinical Operations and Flow

Use Case

AI Task Description

Optimal AI Model

Patient Flow and Intake

Automate intake forms from end to end

AWS Bedrock Llama 3 70B

Patient 360

A unified view aggregating clinical, claims, and SDOH data

Anthropic Claude 3.7 Sonnet

Non-Healthcare Specific

Use Case

AI Task Description

Optimal AI Model

Contract Review and Redlining

Analyzes formal statements of work and complex historical data

Anthropic Claude 4.6 Opus

RFP Response Generator

Generates accurate responses using massive context windows

Anthropic Claude 4.6 Opus

SDLC Processes

Executes advanced reasoning and sequential logic tasks for engineering

TogetherAI DeepSeek R1

Due Diligence and OM Analysis

Pulls key numbers from investment documents and runs complex research

OpenAI GPT 5 Pro

Vendors and Procurement

Handles deep data processing while adhering to geographic data residency needs

AWS Bedrock Nova Pro

Email and Teams Flagging Systems

Monitors and categorizes internal communications for fast internal routing

AWS Bedrock Llama 3 70B

Choose the Best Model for Each Task in StackAI

In StackAI, you have access to one of the broadest selections of models and providers available, and you can use them across countless real-world tasks. Want us to walk you through the best models for your use cases? Book a demo with us here.

Shani Fargun

VP of Healthcare at StackAI

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