Nabla

Name: Nabla
Brand: GabLab

Nabla is an ambient clinical AI assistant that captures clinician–patient conversations to generate structured clinical documentation, provides dictation and E/M and ICD-10 coding suggestions for clinician review, and offers API/embedding options for enterprise integration.

Valuation $180M|31 Ref Customers

Website

Published Oct 15, 2026

01Common complaints

High-acuity, high-interruption environments as the primary use case
- Community feedback indicates ambient scribes, including this vendor's product, can struggle with rambling or fragmented histories in ED settings, sometimes necessitating excessive editing that negates time savings.
If the requirement is zero-editing notes
- Multiple users report a continuing need for clinician edits; organizations that cannot accommodate editing risk failing to achieve expected ROI.
If procurement requires publicly documented enterprise features without NDA
- Many enterprise control details appear to be available on request or under NDA via the Trust Center. If a procurement process requires fully public documentation, evaluation timelines may be affected.
If the health system already standardized on a competing platform with deep EHR embedding
- Large-system switching costs can be substantial; some reporting indicates vendor displacement can occur as enterprise rollouts mature.
If patient-consent/disclosure policies in the organization or jurisdiction are strict
- Reporting indicates disclosure practices vary; organizations with strict consent requirements should verify how the product and workflows support those policies.
Note quality variability by setting
- Feedback indicates degraded performance in settings with rambling or fragmented histories and a higher editing burden in those contexts.
UI / usability complaints
- Some clinicians reported the interface caused friction in clinical workflows in anecdotal comments.
Mobile app operational issues
- App-store reviews noted behaviors such as unintended ringer muting during dictation and classification issues between note sections.
Integration dependency
- The operational value of the product is sensitive to EHR integration quality; solutions that require manual copy/paste reduce realized ROI.
Roadmap and product update disclosures
- Vendor materials reference ongoing model updates and an API/embedding strategy, but detailed public roadmaps and target dates were not included in the provided excerpts.

- High-acuity, high-interruption environments as the primary use case - Community feedback indicates ambient scribes, including this vendor's product, can struggle with rambling or fragmented histories in ED settings, sometimes necessitating excessive editing that negates time savings. - If the requirement is zero-editing notes - Multiple users report a continuing need for clinician edits; organizations that cannot accommodate editing risk failing to achieve expected ROI. - If procurement requires publicly documented enterprise features without NDA - Many enterprise control details appear to be available on request or under NDA via the Trust Center. If a procurement process requires fully public documentation, evaluation timelines may be affected. - If the health system already standardized on a competing platform with deep EHR embedding - Large-system switching costs can be substantial; some reporting indicates vendor displacement can occur as enterprise rollouts mature. - If patient-consent/disclosure policies in the organization or jurisdiction are strict - Reporting indicates disclosure practices vary; organizations with strict consent requirements should verify how the product and workflows support those policies. - Note quality variability by setting - Feedback indicates degraded performance in settings with rambling or fragmented histories and a higher editing burden in those contexts. - UI / usability complaints - Some clinicians reported the interface caused friction in clinical workflows in anecdotal comments. - Mobile app operational issues - App-store reviews noted behaviors such as unintended ringer muting during dictation and classification issues between note sections. - Integration dependency - The operational value of the product is sensitive to EHR integration quality; solutions that require manual copy/paste reduce realized ROI. - Roadmap and product update disclosures - Vendor materials reference ongoing model updates and an API/embedding strategy, but detailed public roadmaps and target dates were not included in the provided excerpts.

02Why they buy

Compliance-oriented public materials
- The vendor publishes a Trust Center with references to SOC 2 Type II and ISO 27001 artifacts and indicates third-party security assessments are performed. These materials support the vendor's compliance posture in procurement discussions.
Multi-channel access (product capability)
- The vendor documents access via a desktop web app, mobile app, and browser extension with synchronized notes (per the vendor Help Center documentation reviewed).
Specialty breadth and customization (reported)
- Third-party reports note extensive note-template customization and broad specialty/language support; these attributes should be validated during product demos for specific specialties.

Counterpoint (where competitors may be stronger)

Enterprise integration and perceived market presence
- Some competitors emphasize large-system deployments and integration depth as procurement differentiators; organizations should evaluate integration depth (writeback and inside-EHR workflows) as a primary selection criterion.

- Compliance-oriented public materials - The vendor publishes a Trust Center with references to SOC 2 Type II and ISO 27001 artifacts and indicates third-party security assessments are performed. These materials support the vendor's compliance posture in procurement discussions. - Multi-channel access (product capability) - The vendor documents access via a desktop web app, mobile app, and browser extension with synchronized notes (per the vendor Help Center documentation reviewed). - Specialty breadth and customization (reported) - Third-party reports note extensive note-template customization and broad specialty/language support; these attributes should be validated during product demos for specific specialties. Counterpoint (where competitors may be stronger) - Enterprise integration and perceived market presence - Some competitors emphasize large-system deployments and integration depth as procurement differentiators; organizations should evaluate integration depth (writeback and inside-EHR workflows) as a primary selection criterion.

03Field reports

What positive feedback emphasizes (with direct quotes)

Clinician usability / perceived quality in outpatient contexts
- Online clinician forum (nurse practitioner community):
  - "My last clinical site had Nabla, and it was shockingly good… surprisingly good at filtering out the random tangents and formatting everything into a cohesive H&P." (community post)
Vendor case study quotes (vendor-provided)
- A Carle Health leader quote praises responsiveness and vendor partnership (vendor-provided testimonial; presented as vendor-supplied material rather than independent evidence).

- Clinician usability / perceived quality in outpatient contexts - Online clinician forum (nurse practitioner community): - "My last clinical site had Nabla, and it was shockingly good… surprisingly good at filtering out the random tangents and formatting everything into a cohesive H&P." (community post) - Vendor case study quotes (vendor-provided) - A Carle Health leader quote praises responsiveness and vendor partnership (vendor-provided testimonial; presented as vendor-supplied material rather than independent evidence).

What negative feedback emphasizes (with direct quotes)

Struggles with complex, nonlinear encounters (e.g., ED)
- Online clinician forum (emergency medicine):
  - "I've used nabla. It's ok for pretty linear histories… If the symptoms are vague or patient is rambling then it doesn't work as well."
  - "Stopped after a shift, the histories are terrible… Needs a lot of editing…"
Strong negative sentiment in some communities
- Online medical community:
  - "I don't know of any good ones, but stay the heck away from Nabla." (comment in a thread on ambient dictation software)
Patient/community concerns about consent and documentation quality
- Community threads referencing a regional health system:
  - Comments reported that the system was using an alternative vendor in some rollouts and expressed concerns about shorter notes or missing content.

- Struggles with complex, nonlinear encounters (e.g., ED) - Online clinician forum (emergency medicine): - "I've used nabla. It's ok for pretty linear histories… If the symptoms are vague or patient is rambling then it doesn't work as well." - "Stopped after a shift, the histories are terrible… Needs a lot of editing…" - Strong negative sentiment in some communities - Online medical community: - "I don't know of any good ones, but stay the heck away from Nabla." (comment in a thread on ambient dictation software) - Patient/community concerns about consent and documentation quality - Community threads referencing a regional health system: - Comments reported that the system was using an alternative vendor in some rollouts and expressed concerns about shorter notes or missing content.

Common themes (why customers choose it)

Reviews and community comments indicate clinicians trial the product to reduce documentation time and after-hours charting, to evaluate trial access options, and to assess specialty coverage and note customization capabilities.

Common churn / switching reasons mentioned

Competitive displacement at large systems
- Public reporting and community commentary indicate adoption and subsequent vendor shifts in some health systems; the specifics vary by source and time period.
Note quality and integration friction
- Some clinician feedback indicates an editing burden in settings with fragmented conversations and user-interface complaints.

Specific outcomes customers achieved (with metrics when available)

Independent clinical trial evidence is available (see "Case Studies" section) evaluating the product versus alternatives and usual care; trial results should be interpreted in context of the study design and setting.
Vendor-published metrics in marketing materials include reductions in burnout and time-savings claims; these vendor metrics are presented as vendor-supplied and without disclosed methodology in the excerpts reviewed.

Independent / peer-reviewed style evidence

Randomized trial comparing ambient AI scribes (Nabla and Microsoft DAX Copilot) vs usual care
- A PubMed Central article describes a pragmatic randomized clinical trial that assigned a few hundred outpatient physicians across multiple specialties to DAX Copilot, Nabla, or usual care over a multi-month period spanning late 2024 to early 2025.
- Critical evaluation
  - Strength: randomized design in outpatient conditions and inclusion of a control arm.
  - Limitations: generalizability may be limited to outpatient settings, the participating specialty mix, and the specific implementation constraints used in the trial; results may differ in ED or inpatient settings with fragmented conversations.

- Randomized trial comparing ambient AI scribes (Nabla and Microsoft DAX Copilot) vs usual care - A PubMed Central article describes a pragmatic randomized clinical trial that assigned a few hundred outpatient physicians across multiple specialties to DAX Copilot, Nabla, or usual care over a multi-month period spanning late 2024 to early 2025. - Critical evaluation - Strength: randomized design in outpatient conditions and inclusion of a control arm. - Limitations: generalizability may be limited to outpatient settings, the participating specialty mix, and the specific implementation constraints used in the trial; results may differ in ED or inpatient settings with fragmented conversations.

Vendor case studies (vendor-published evidence)

The vendor highlights case studies (e.g., Carle Health, Denver Health, Tia Health) with qualitative claims such as improved face-to-face interactions and perceived improvements in work-life balance (vendor-provided material).
Critical evaluation of vendor case studies
- Strength: the case studies indicate named organizations engaged with the product.
- Limitations: outcomes are vendor-published, often lack disclosed methodology, baseline comparisons, sample sizes, and may reflect selection bias toward satisfied sites.

- The vendor highlights case studies (e.g., Carle Health, Denver Health, Tia Health) with qualitative claims such as improved face-to-face interactions and perceived improvements in work-life balance (vendor-provided material). - Critical evaluation of vendor case studies - Strength: the case studies indicate named organizations engaged with the product. - Limitations: outcomes are vendor-published, often lack disclosed methodology, baseline comparisons, sample sizes, and may reflect selection bias toward satisfied sites.

"At scale" claims

The vendor reports a large number of health organizations, a substantial clinician base, and millions of patient encounters per year. These are vendor-reported figures that should be verified during procurement. Organizations evaluating scale claims should request clarification on:
- Definition of "deployed" (pilot vs enterprise rollout)
- Active monthly clinician counts
- Encounter definition and inclusion criteria

04Best fit

Company sizes
- Mid-market to enterprise health systems that can support security review, change management, and EHR integration projects.
- Individual clinicians and small practices may trial the product (if trial options are available), but enterprise integration benefits often require IT support.
Industries and verticals
- Outpatient clinics (primary care, behavioral health) are repeatedly cited across reviews and community comments as environments where ambient scribes tend to perform more consistently.
- Behavioral health and psychiatry are commonly represented among reported user cohorts.
Roles and personas
- Decision makers: CMIO, CIO, CISO/vendor-risk teams, clinical operations leadership, revenue cycle leadership (if coding modules are in scope).
- End users: physicians, nurse practitioners, physician assistants, therapists/behavioral health clinicians.
Pain points addressed
- Documentation time and after-hours charting
- Administrative burden contributing to clinician burnout
- Need for consistent structured documentation and coding support
Qualification criteria (better fit)
- Predictable, conversational visits with clear HPI and fewer interruptions
- A pathway for robust EHR integration
- An organization willing to invest in template customization and adoption coaching
Deal disqualifiers (poor fit)
- Emergency departments and other high-interruption environments where conversations are fragmented
- Teams unwilling to maintain human-in-the-loop review and governance over generated notes

- Company sizes - Mid-market to enterprise health systems that can support security review, change management, and EHR integration projects. - Individual clinicians and small practices may trial the product (if trial options are available), but enterprise integration benefits often require IT support. - Industries and verticals - Outpatient clinics (primary care, behavioral health) are repeatedly cited across reviews and community comments as environments where ambient scribes tend to perform more consistently. - Behavioral health and psychiatry are commonly represented among reported user cohorts. - Roles and personas - Decision makers: CMIO, CIO, CISO/vendor-risk teams, clinical operations leadership, revenue cycle leadership (if coding modules are in scope). - End users: physicians, nurse practitioners, physician assistants, therapists/behavioral health clinicians. - Pain points addressed - Documentation time and after-hours charting - Administrative burden contributing to clinician burnout - Need for consistent structured documentation and coding support - Qualification criteria (better fit) - Predictable, conversational visits with clear HPI and fewer interruptions - A pathway for robust EHR integration - An organization willing to invest in template customization and adoption coaching - Deal disqualifiers (poor fit) - Emergency departments and other high-interruption environments where conversations are fragmented - Teams unwilling to maintain human-in-the-loop review and governance over generated notes

05The pitch

What the product does (core value proposition in objective terms)

The vendor describes the product as an "ambient AI assistant" or "clinical AI layer" that captures clinician–patient conversations and generates structured clinical documentation (notes), and that also provides dictation and coding suggestions with clinician review. (Description derived from vendor materials and the Nabla Help Center overview.)
Key workflow modules cited by the vendor
- Ambient Documentation (auto-generated structured notes)
- Dictation (clinical speech recognition, including claims of integration with Epic and other EHRs)
- Coding (E/M and ICD-10 suggestions, intended for clinician final review)

- The vendor describes the product as an "ambient AI assistant" or "clinical AI layer" that captures clinician–patient conversations and generates structured clinical documentation (notes), and that also provides dictation and coding suggestions with clinician review. (Description derived from vendor materials and the Nabla Help Center overview.) - Key workflow modules cited by the vendor - Ambient Documentation (auto-generated structured notes) - Dictation (clinical speech recognition, including claims of integration with Epic and other EHRs) - Coding (E/M and ICD-10 suggestions, intended for clinician final review)

Target market and market positioning

Primary target: healthcare clinicians and health systems seeking to reduce documentation burden and streamline documentation workflows.
The vendor positions the product for enterprise customers and supports embedding via "Nabla Connect" or an API-first consumption model.

Get a comprehensive analysis of Nabla including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →