Suki and BastionGPT both offer HIPAA-compliant AI scribes that turn patient conversations into structured clinical notes. The overlap largely ends there. Suki is a voice-first ambient assistant built for health systems: it integrates deeply with four EHRs, stages orders by voice, and sells through a demo-to-contract enterprise process at an industry-reported $299 to $399 per user per month, with no pricing published on suki.ai. BastionGPT pairs an unlimited AI scribe with a full healthcare AI assistant: it recognizes up to 10 speakers and labels each speaker's name and role automatically, drafts referral letters and insurance appeals, reads 10+ documents at once with 1,000+ pages of context, and runs on named frontier models (GPT-5.5, Claude, and Gemini 3 Pro), starting at $20 per user per month with a signed BAA on every plan and a self-serve signup that takes minutes.
This comparison covers the differences that matter when you choose: what each platform actually costs in 2026, how you buy it, whether your data trains anyone's AI models, what happens beyond the visit note, how document handling compares, what real users say on independent review sites, and what compliance coverage you get at each price. Suki's product details, plan structure, data policies, and reported pricing were verified against suki.ai, Suki's developer documentation and press releases, its Capterra and Apple App Store listings, and independent industry coverage on July 5, 2026.
The quick answer: Choose BastionGPT if you want published pricing from $20 per user per month, a signed BAA on every plan including the free trial, a strict no-training policy on customer data, mental health note formats (DAP, BIRP, intake assessments, treatment plans), 1,000+ pages of document analysis, and a scribe plus full AI assistant that works alongside any EHR the same day you sign up. Choose Suki if you run a large health system standardized on Epic, Oracle Health, athenahealth, or MEDITECH and want voice commands, ambient order staging, and ambient CPT/E/M coding written directly into the chart, with the budget for its industry-reported $299 to $399 per user per month enterprise contracts.
| Feature | BastionGPT | Suki |
|---|---|---|
| Verified user ratings | 4.8/5 average across Capterra, Software Advice, and GetApp | 4.2/5 on the Apple App Store (63 reviews); 2.0/5 on Capterra from its single posted review |
| Published pricing | ✓ $20 to $75 per user per month, posted publicly | Not published; industry reports place Suki at $299 to $399 per user per month |
| Entry paid plan | $20/user/month (Professional) | ~$299/user/month reported (Suki Compose) |
| Full-featured individual plan | $45/user/month (Professional Plus) | ~$399/user/month reported (Suki Assistant) |
| How you buy | Self-serve signup in minutes; no sales call required | Demo-to-contract enterprise sales process |
| Free option | 7-day free full trial, plus a 45-day money-back guarantee | None; Capterra lists a free trial as not available |
| Contract terms | Monthly or annual; annual billing includes a free month | Annual commitments typical; independent reviews report setup fees of $500 to $2,000 per practice |
| Signed BAA | ✓ Every plan, including the free trial | Provided to customers through enterprise contracting |
| HIPAA compliant | ✓ | ✓ |
| Customer data used to train AI models | Never; prompts, documents, and outputs are not retained for model training | De-identified and anonymized data is used for model training, per Suki's developer security FAQ |
| Additional compliance | 42 CFR Part 2, FERPA, PIPEDA, PHIPA, APP | Not published |
| AI models | GPT-5.5, Claude, Gemini 3 Pro (named and selectable) | Foundation models not disclosed; Google Cloud Vertex AI powers patient summaries and Q&A |
| Multi-speaker recognition | ✓ Up to 10 speakers, with speaker diarization and automatic AI labeling of speaker names and roles | ✓ Identifies speakers; speaker count not published |
| Max recording length | 240 minutes per session | No published limit |
| Document upload and analysis | ✓ 10+ documents at once, 1,000+ pages of combined context (Professional Plus and Ultra) | Not offered; works from EHR chart data on integrated EHRs |
| Spreadsheet analysis | ✓ Excel (.xls, .xlsx, .xlsm) and CSV | Not offered |
| Supported upload types | PDF, Word, Excel, CSV, PowerPoint, HTML, text, JPG, PNG | Not applicable (no document upload analysis) |
| Full AI assistant | ✓ Referral letters, insurance appeals, patient education, document review, lab and spreadsheet analysis | Visit-anchored: notes, patient instructions, chart Q&A, order staging inside integrated EHRs |
| Ambient coding automation | Coding suggestions plus documentation review for suspected under- or over-coding | ✓ ICD-10, HCC, CPT, and E/M codes generated from ambient listening and staged in the EHR |
| Voice commands and EHR order staging | Not offered; documentation-focused workflow | ✓ "Suki, order metformin 500mg" style commands; ambient order staging |
| Note types | SOAP, Detailed SOAP, DAP, BIRP, H&P, intake assessments, treatment plans, progress, custom free-form prompt | SOAP, H&P, progress, custom templates; behavioral health formats such as DAP and BIRP not marketed |
| Languages | 15+ | 80+ ambient session languages, with notes generated in English |
| Saved prompts with team sharing | ✓ All plans, with folder organization | Custom templates; template management varies by deployment |
| EHR compatibility | Works alongside 50+ EMR/EHR systems (Epic, Oracle Health, Athenahealth, eClinicalWorks) via copy-paste, no IT project | Deep bidirectional integration with 4 EHRs: Epic, Oracle Health, athenahealth, MEDITECH; independent reviews report Epic rollouts taking several weeks |
| Uptime guarantee | 99.90% | No published SLA; availability marketed as 24/7/365 |
| Support | Email, chat, phone, and video with real humans, on every plan | Email, chat, phone, and 24/7 live rep per its Capterra listing; rollout support tied to enterprise contracts |
| Built for | Individuals, small practices, and organizations of any size | Health systems and large groups; Suki markets deployments from 100 to 100,000 clinicians |

Both platforms generate structured, specialty-aware clinical notes from ambient listening, and both keep the clinician in control: AI output is a draft that the provider reviews and approves. Both are HIPAA compliant, encrypt data with AES-256 at rest and TLS in transit, and delete session audio and transcripts after 30 days by default. Retention differs after that point: Suki keeps the final clinical note for the duration of the service contract, while BastionGPT lets users retain content longer or delete it sooner, with deleted data held up to 30 days in a secure audit vault. If your entire requirement is turning a spoken visit into a standard note, both tools cover that core workflow. The differences appear the moment you ask for a price, ask what happens to your data after the visit, work outside a deeply integrated EHR, upload a record for review, or need documentation that goes beyond the visit.
Suki does not publish pricing. Its Capterra listing reads "Contact vendor for pricing," and buying requires a demo and an enterprise contract. Industry reporting from 2025 and 2026 consistently places Suki Compose at roughly $299 per user per month and Suki Assistant at roughly $399, with enterprise contracts reported at $350 to $500+ depending on EHR integration depth. Independent reviews also report setup fees of $500 to $2,000 per practice and one-year minimum commitments.
BastionGPT posts its prices publicly: Professional starts at $20 per user per month, and Professional Plus, which includes the full AI assistant, multi-document analysis, image and spreadsheet reading, and manual model selection, costs $45. Annual billing includes a free month, and the organizational Ultra tier is published at $75 per user per month.
The math for a five-clinician practice: Suki Assistant at its reported rate runs $23,940 per year ($399 x 5 x 12). BastionGPT Professional Plus runs $2,700 ($45 x 5 x 12). That is a difference of $21,240 per year. Even against Suki Compose's reported $299 entry point, a practice on BastionGPT Professional ($1,200 per year for five users) keeps $16,740 that would otherwise go to documentation software.
Suki is built and sold for enterprise deployment. Independent reviews describe implementation timelines that range from minutes on athenahealth to several weeks on Epic, a learning curve of one to two weeks to master voice commands, and a sales process involving demos, negotiation, and annual contracts. For a hospital IT department, that is normal. For a solo practitioner or a five-provider clinic, it is a barrier.
BastionGPT deploys the day you sign up. There is no integration project, no implementation fee, and no sales call required: start a 7-day free trial, record your first session, and paste the note into the EHR you already use. Every paid plan carries a 45-day money-back guarantee.
This difference is easy to miss on a features page and matters more than most features. BastionGPT states that customer data is never sold or used to train AI models: prompts, uploaded documents, session audio, and outputs are not retained for model training on any plan.
Suki's policy is different. Its developer security FAQ states that Suki uses de-identified and anonymized data for model training purposes, breaking audio into isolated chunks and removing PII from transcripts before training. De-identification is a recognized HIPAA practice, and Suki documents its method openly. It still means patient encounters contribute to model training under Suki's process. Some organizations accept that tradeoff; others want the simpler answer. With BastionGPT, the answer to "does our data train the AI" is one word: no.
Suki reads patient data from the EHR chart on its four integrated systems. It does not offer document upload and analysis: there is no way to hand it a 300-page records dump, a psychological evaluation, a scanned fax, or an insurance denial letter and ask questions about it.
On Professional Plus and Ultra plans, BastionGPT reads 10+ documents at once, up to 1,000+ pages of combined context. Supported formats include PDF, Word, Excel, CSV, PowerPoint, HTML, plain text, and JPG or PNG images, including scanned PDFs, charts, and graphs. A clinician can upload a full patient history, records from multiple providers, and a lab spreadsheet, then query, summarize, and cross-reference all of it in one conversation. The Professional plan covers a single PDF, Word, or text document up to 30 pages.
Suki's assistant capabilities are anchored to the encounter and the EHR: it drafts the note, generates patient instructions, answers questions about chart data, and stages orders. That is real value inside the visit, and it is where Suki has focused.
BastionGPT includes an unlimited general AI assistant on every plan that covers the desk work around the visit too. Clinicians use it to draft referral letters, insurance appeal letters, treatment plans, and patient education materials; review documentation for incorrect names, pronouns, vague language, and suspected under- or over-coding; and analyze lab summaries and spreadsheets. The scribe also captures telehealth visits through Zoom, Teams, and Google Meet with no visible bot in the meeting. BastionGPT earned 99.3% sentence-level accuracy on clinical documentation tasks in a peer-reviewed study by Baylor College of Medicine and Texas Children's Hospital researchers.
BastionGPT names its engines: licensed and HIPAA-compliant versions of GPT-5.5, Claude, and Gemini 3 Pro. Every plan selects the best model for each task automatically, and Professional Plus adds manual model selection plus early access to new models as they ship. Model quality drives note quality, and naming the models lets you verify exactly what is reading your records.
Suki does not disclose which foundation models generate its notes. It has announced that patient summaries and clinical Q&A are built on Google Cloud's Vertex AI platform, and it describes its stack as medically tuned ASR, NLU, and LLMs, without naming the models behind them.
BastionGPT produces SOAP, Detailed SOAP, DAP, BIRP, H&P, intake assessments, treatment plans, and progress notes, plus specialty outputs such as group therapy summaries, neuropsychological evaluation write-ups, and safety plans. A Custom Note tab accepts any free-form prompt per recording: narrative formats, parent-friendly summaries, forensic documentation, and other specialty outputs. You can also upload example notes so BastionGPT matches your writing style and formatting.
Suki generates SOAP, H&P, progress, and custom-template notes across 100+ specialties, with strong depth in physician workflows. Behavioral health formats such as DAP and BIRP are not part of its marketed template set, which matters for therapists, counselors, and group mental health practices that document in those structures every day.
BastionGPT enters a signed Business Associate Agreement with every customer on every plan, including the free trial, with countersigned and custom BAAs available for larger organizations. The platform supports HIPAA, 42 CFR Part 2, FERPA, PIPEDA, PHIPA, and Australian APP requirements, and data for US, Canada, and Australia customers defaults to storage in the customer's own country. Data is encrypted with AES-256 at rest and TLS in transit, runs on HITRUST CSF certified and SOC 2 Type II attested Microsoft Azure infrastructure, and is independently penetration tested at least annually. In three years serving more than 10,000 healthcare organizations, BastionGPT has had zero breaches of protected health information.
Suki is HIPAA compliant and SOC 2 Type II certified, and it provides BAAs to customers through its standard enterprise contracting. Because there is no self-serve plan, there is no self-serve BAA: the agreement arrives with the contract, after the sales process. Coverage for 42 CFR Part 2 or FERPA is not published in Suki's public trust materials.
BastionGPT holds a 4.8 out of 5 average across the three major verified B2B review directories: Capterra, Software Advice, and GetApp. It is used by 10,000+ healthcare organizations, processes 1.3 million clinical documents each month, and saves clinicians a reported 15,000 hours every day. Reviewers most often cite time saved on documentation and the freedom to use AI on real cases because data protection is built in.
Suki's public review footprint is thin for a company of its size. Its Capterra listing shows a 2.0 out of 5 overall rating from its single posted review, which describes glitchy dictation behavior; with one review, that number says less about the product than about how few individual buyers reach Suki through self-serve channels. On the Apple App Store, Suki holds a 4.2 out of 5 rating across 63 reviews, mixing praise for fast note generation with complaints about generic notes and missed medication names. Suki's strongest independent validation comes from KLAS, where it scores 93.8/100 among surveyed healthcare organizations.
Ratings shift over time, so this page cites the source and date for each figure. The links in the sources section lead to the live numbers.
Suki's clearest advantage is EHR depth. Its bidirectional integrations with Epic, Oracle Health, athenahealth, and MEDITECH pull chart data into the note and write finished notes back without copy-paste. Voice commands ("Suki, order metformin 500mg") and ambient order staging let clinicians work the EHR hands-free, and in January 2026 Suki extended its ambient coding to generate CPT and E/M codes alongside ICD-10 and HCC, reporting a 48% reduction in amended encounters among its customers. Suki also supports ambient sessions in 80+ languages with notes generated in English, and its SDKs include an offline mode that keeps recording during network drops and uploads when the connection returns. Suki's enterprise proof is real. It reports 400+ health systems and partners, scores 93.8/100 with KLAS-surveyed organizations, and points to a 2026 KLAS ROI validation citing 21 to 27% documentation time savings and revenue impact of up to $2,629 per provider per month in customer case studies. Those results assume an enterprise context: an organization standardized on one of the four integrated EHRs, an IT team to run the rollout, and a budget that absorbs an industry-reported $299 to $399 per user per month plus setup fees on an annual contract. For individual clinicians, small and mid-sized practices, and any team that needs records review, appeal letters, document analysis, mental health note formats, or a flat no-training data policy, BastionGPT delivers a broader assistant, a signed BAA from day one, and published pricing at roughly one-ninth of Suki's reported full rate.

"BastionGPT has a lot more capabilities [than ChatGPT] with data protection, so clinicians can more freely use AI."
"People compliment the quality and clarity of my documentation all the time now. I can't imagine working without Bastion!"
"BastionGPT has reshaped the way I practice medicine, teach, and manage day-to-day operations."
Every tool here does one thing well. No clutter, no confusion, just what works.
Suki does not publish pricing; its Capterra listing reads "Contact vendor for pricing." Industry reporting from 2025 and 2026 places Suki Compose at roughly $299 per user per month and Suki Assistant at roughly $399, with enterprise contracts reported at $350 to $500+ per user per month depending on EHR integration depth, plus reported setup fees of $500 to $2,000 per practice. BastionGPT publishes its plans at $20 to $75 per user per month.
No. Suki's Capterra listing shows that a free trial is not available, and there is no free tier. Evaluation happens through a sales demo followed by an enterprise contract. BastionGPT offers a 7-day free trial of its full Professional and Professional Plus plans, and paid plans from $20 per user per month carry a 45-day money-back guarantee.
Yes, Suki provides Business Associate Agreements to customers through its enterprise contracting process, alongside HIPAA compliance and SOC 2 Type II certification. Because Suki has no self-serve plan, the BAA arrives with the negotiated contract. BastionGPT includes a signed BAA on every plan, including the free trial, and also supports 42 CFR Part 2, FERPA, PIPEDA, PHIPA, and Australian APP requirements.
Suki's developer security FAQ states that Suki uses de-identified and anonymized data for model training purposes: audio is broken into isolated chunks and PII is removed from transcripts before training. BastionGPT never uses customer data to train AI models; prompts, documents, session audio, and outputs are not retained for model training on any plan.
Suki is built for health systems: its deepest value comes from bidirectional integration with Epic, Oracle Health, athenahealth, and MEDITECH, and its buying process involves demos, annual contracts, and reported setup fees. Independent reviews note that smaller clinics wanting posted pricing and a copy-to-EHR workflow find the enterprise contracting heavier than needed. BastionGPT is self-serve, starts at $20 per user per month, and works alongside 50+ EMR/EHR systems without an integration project.
No. Suki reads patient data from the EHR chart on its integrated systems and answers questions about that chart data, but it does not offer document upload and analysis. BastionGPT reads 10+ uploaded documents at once with 1,000+ pages of combined context on Professional Plus and Ultra, including PDF, Word, Excel, CSV, PowerPoint, HTML, text, and image files with OCR for scans.
BastionGPT reads Excel (.xls, .xlsx, .xlsm), CSV, PowerPoint, and HTML files on Professional Plus and above, alongside PDF, Word, text, and image files. Suki does not offer spreadsheet or document upload analysis; its data access is EHR chart data on integrated systems.
BastionGPT uses licensed, HIPAA-compliant versions of GPT-5.5, Claude, and Gemini 3 Pro, selecting the best model for each task automatically; Professional Plus adds manual model selection and early access to new models. Suki does not disclose the foundation models behind its notes; it has announced that its patient summaries and clinical Q&A are built on Google Cloud's Vertex AI platform.
BastionGPT recognizes up to 10 speakers per session, live or from uploaded audio, with sessions up to 240 minutes. Speaker diarization separates the transcript by voice, and BastionGPT's AI automatically labels each speaker's name and role, for example clinician, patient, or parent. Suki identifies speakers in ambient sessions but does not publish a supported speaker count.
BastionGPT holds a 4.8 out of 5 average across the verified review directories Capterra, Software Advice, and GetApp. Suki holds a 4.2 out of 5 rating on the Apple App Store across 63 reviews and a 2.0 out of 5 on Capterra from its single posted review; its strongest independent result is a 93.8/100 KLAS score from surveyed healthcare organizations. Ratings change over time, so check each review site for current figures.
Yes. Suki supports ambient sessions in 80+ languages, generating the clinical note in English, and produces patient instructions in 80 languages. BastionGPT supports 15+ languages. If multilingual transcription is your deciding requirement, weigh it against the differences in document analysis, assistant capabilities, data-training policy, BAA access, and price.
The approaches differ. Suki offers deep bidirectional integration with four EHRs (Epic, Oracle Health, athenahealth, MEDITECH), writing notes and staged orders directly into the chart; independent reviews report Epic rollouts taking several weeks. BastionGPT works alongside 50+ EMR/EHR systems, including Epic, Oracle Health, Athenahealth, and eClinicalWorks, through a simple copy-paste workflow that requires no IT project and deploys the same day.
For most US small practices, BastionGPT is the stronger fit: published pricing from $20 per user per month, a signed BAA on every plan including the trial, no use of customer data for AI training, HIPAA, 42 CFR Part 2, and FERPA support, mental health note formats (DAP, BIRP), document and spreadsheet analysis, a 99.90% uptime guarantee, and human support by phone, chat, email, and video on every plan. Suki is the stronger fit for large health systems standardized on Epic, Oracle Health, athenahealth, or MEDITECH that want voice commands, ambient order staging, and ambient CPT/E/M coding inside the EHR, and that have the budget for its reported $299 to $399 per user per month enterprise contracts.
See how BastionGPT stacks up against other AI tools for healthcare: