How Does CompliantChatGPT Compare to BastionGPT?

If you work in healthcare and you've started looking at HIPAA-compliant AI tools, two names come up quickly: CompliantChatGPT and BastionGPT. Both promise to let clinicians use generative AI without risking a HIPAA violation. But once you look past the marketing pages, the two platforms differ in fundamental ways, particularly in how they handle patient data, the quality of their AI models, and what you actually get for the price.

What each platform actually is

Data handling: two very different philosophies

This is the most important difference between the two platforms, and it deserves careful attention.

CompliantChatGPT uses an anonymization approach: it strips PHI from your prompts, sends the sanitized text to OpenAI's models, then reinserts the original identifiers into the response before showing it to you. On paper, this sounds reasonable. In practice, it introduces two serious problems.

First, automated anonymization is not 100% accurate. No NLP system perfectly catches every name, date, location, or identifying detail in unstructured clinical text every single time. At the scale of a busy practice processing hundreds or thousands of prompts per day, even a small failure rate means PHI is leaking to OpenAI's infrastructure on a regular basis. A 99% accuracy rate sounds impressive until you realize that for an organization sending 500 prompts a day, that's roughly five potential breach incidents daily. Over a month, that adds up to a compliance problem that no BAA can paper over.

Second, stripping out clinical context to anonymize it often degrades the quality of the AI's response. When you remove patient-specific details, the model loses context that can be critical for generating accurate, relevant clinical documentation. You're trading data safety for output quality, and getting less of both.

BastionGPT doesn't anonymize data because it doesn't need to. It accesses AI models, including those that power ChatGPT, through a licensing agreement, running on HIPAA-compliant infrastructure. OpenAI never sees the data. Not in anonymized form, not in any form. The AI models themselves operate within BastionGPT's compliant environment, covered by a BAA. Clinicians can include full patient details in their prompts and get back higher-quality, contextually accurate responses without the breach risk that comes with automated anonymization at scale.

AI models: one engine vs. many

CompliantChatGPT is built around OpenAI's models. That's a solid foundation, but it means you're locked into a single model family for every task.

BastionGPT runs a multi-model backend that includes GPT-5, Claude Opus, Gemini 3 Pro, and o3, among others. The platform selects the best model based on the type of prompt, or users can choose manually. In practice, this means a complex clinical reasoning question might route to a different model than a straightforward note-drafting task. Different models have different strengths, and having access to several in one interface means you're not making trade-offs you don't need to make.

Clinical workflows

Both platforms support core clinical tasks: SOAP notes, progress notes, document summarization, and transcription.

CompliantChatGPT offers pre-built custom modes (Bloodwork Analysis, Differential Diagnosis, Treatment Planner, and others). These provide structure, but they also lock you into predefined workflows. If your use case doesn't fit neatly into one of those modes, you're working around the tool instead of with it.

BastionGPT takes a different approach. Clinicians interact with the AI using natural language, without needing to select a specific mode. You describe what you need, in your own words, and the platform delivers. A forensic psychologist writing a court report, a pediatrician drafting a parent-friendly summary, and a therapist generating a narrative-format progress note can all work the same way, without hunting for the right mode or being constrained by one.

BastionGPT's AI Scribe is unlimited on all plans, with multi-speaker recognition (up to four speakers) and six output formats. The platform supports document uploads up to 400,000 words (over 1,000 pages) on its higher-tier plans, which matters for clinicians dealing with full medical histories, lengthy psychological evaluations, or multi-hundred-page records. It also handles sensitive clinical content, including topics like violence and sexual abuse, that general-purpose AI tools typically filter out. For mental health professionals, that's not a minor detail.

Compliance and BAA

BastionGPT includes a Business Associate Agreement on every plan, including the lowest tier. It also supports PIPEDA/PIPA/PHIPA for Canadian users and APP for Australian users. Data is encrypted with AES-256 at rest and HTTPS/TLS in transit, stored in HITRUST and ISO 27001-certified data centers, with scribe sessions automatically wiped after 30 days (with options to adjust).

CompliantChatGPT also provides a BAA, AES-256 encryption, TLS 1.2 in transit, role-based access controls, and audit logs. Both platforms take compliance seriously on paper.

But the architectural difference is decisive. BastionGPT's data never leaves its compliant environment. CompliantChatGPT's compliance relies on the anonymization layer being effective enough that the data reaching OpenAI no longer qualifies as PHI. When that layer works perfectly, the approach is defensible. When it doesn't, and at scale it won't always, the organization bears the risk.

Free tier and developer API

CompliantChatGPT deserves credit in areas that fall outside BastionGPT's core focus.

Its free tier gives individual clinicians a way to experiment without committing budget. It's worth noting, though, that free tiers in this space are typically made possible by using lower-performing AI models. The economics of clinical-grade, multi-model AI don't support a free offering, which is why BastionGPT offers a 7-day free trial of its full Professional plan instead. You're testing the real product, not a stripped-down version running cheaper and often more error-prone AI models.

CompliantChatGPT also offers a developer-facing API with documentation for organizations that want to embed HIPAA-compliant AI into their own applications. BastionGPT has a popular API offering as well, though given the powerful models in use (including less censored models for explicit clinical content), access is limited to screened customers whose use cases meet its compliance and ethics standards. Customers can register for a 15-minute screening session on their API information page.

Pricing

CompliantChatGPT's Starter Plan runs $19.99 per user per month billed annually, with an Enterprise tier at custom pricing. BastionGPT's Professional plan is $20 per user per month on a monthly basis, or $18.33 per user per month billed annually. Professional Plus and Ultra tiers are available for teams that need larger document processing, multi-document referencing, and organizational features.

The pricing is close enough that it shouldn't be the deciding factor. The question is what you get for that price: a single-model platform that anonymizes your data and hopes the anonymization holds, or a multi-model platform where the AI itself is compliant and your data never leaves a secure environment.

Pick the platform that matches your risk tolerance

These two platforms overlap on surface-level features, but the architecture underneath them is fundamentally different.