# Arize AI vs Heidi

Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Heidi records 2,184,693 monthly visits with +7.9% growth and Freemium, Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Arize AI](https://openaitools.app/tool/arize-com) | [Heidi](https://openaitools.app/tool/heidi) |
| :--- | :--- | :--- |
| Website URL | https://arize.com | https://www.heidihealth.com |
| Categories | Large Language Models (LLMs), AI Agent, AI Monitor, AI Developer Tools | AI Healthcare, AI Transcription, AI Notes Generator, AI Speech-to-Text |
| Pricing Model | Paid, Contact for Pricing | Freemium, Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 249,028 | 2,184,693 |
| MoM Growth Rate | +3.2% | +7.9% |
| Primary Market | United States | Canada |
| Direct Visits | 107,838 | 1,497,462 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 1 | 5 |
| Supported Platforms | Website | Website |

## Arize AI

Arize is an AI engineering platform built for teams that run generative AI in production. It is split into two products: Arize AX, a managed environment for agent observability, evaluation, and experimentation, and Phoenix, an open-source tracing and evaluation library that teams can self-host when they need full data control. Both rely on OpenInference, the open-source semantic convention for generative AI tracing that the Arize team founded and that is built on OpenTelemetry.

The workflow follows three questions. Observe answers what an agent actually did by capturing every span, trace, and session; Evaluate answers whether quality is improving or regressing using span-level, trace-level, and session-level evals; Learn answers whether a proposed change will help by letting teams test prompts and harnesses before rollout. A datastore for GenAI traces (ADB) keeps data in open formats that connect to warehouses such as BigQuery, Databricks, and Snowflake, and an in-app AI engineering agent named Alyx surfaces issues and drafts review-ready fixes.

The platform integrates with dozens of models, frameworks, and tools, including OpenAI, Anthropic, Google, Amazon Bedrock, LangChain, LangGraph, LlamaIndex, CrewAI, and DSPy. Arize publishes compliance certifications including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR, and supports cloud, hybrid, and self-hosted deployment.

**Pricing & Plans:** Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host.

- **End-to-end tracing:** Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
- **Scalable evaluation framework:** Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
- **Alyx AI engineering agent:** An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
- **Phoenix open-source toolkit:** Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.
- **Warehouse-native trace storage:** ADB stores traces in open formats that connect natively to BigQuery, Databricks, or Snowflake for joint analytics with business data.

**Strengths:** Covers the full loop of observe, evaluate, and improve rather than stopping at dashboards; Backed by OpenInference and OpenTelemetry standards, limiting vendor lock-in on trace formats; Strong enterprise posture with SOC 2, ISO 27001, HIPAA, and GDPR coverage plus self-hosting options; Integrates with a very wide set of models, frameworks, and agent SDKs

**Limitations:** Self-serve pricing is not published, so cost requires a sales conversation; The breadth of features can be overwhelming for small teams shipping their first LLM feature; Full value depends on disciplined instrumentation across the whole application

[Profile (Markdown)](https://openaitools.app/tool/arize-com.md)

## Heidi

Heidi began as an AI medical scribe and has grown into a broader clinical AI partner for physicians, nurses, allied health staff, and health systems. Its core job is documentation: the app listens to the visit as it happens, writes the note, and keeps working afterwards by drafting referrals, GP letters, care plans, and patient recaps. Every fact it produces is cited back to the clinical record, and nothing is sent to a patient until the clinician has read and approved it.

Beyond note writing, Heidi covers the recurring admin around a clinic day. Morning prep reads the appointment list and briefs the clinician one line per patient in appointment order. Note insights analyse the corrections a clinician keeps making and propose word library entries, auto-edit rules, and template changes. Follow-up digest pulls out every commitment made in the room, matches them to open tasks, and groups them by documented due date. There are also modules for MDT prep, shift handover, results follow-up, and filling PDF or Word forms from the session and patient record.

The vendor says Heidi supports 175M+ patient interactions worldwide and cites its own peer-reviewed safety research on note accuracy across many languages. It is available as a web app plus desktop builds for macOS and Windows that can dictate anywhere on screen and capture telehealth audio directly from the call. Healthcare organisations should evaluate it against local privacy, HIPAA, GDPR, and regional compliance requirements.

**Pricing & Plans:** Freemium. Clinicians can get started on a free tier, and paid subscription plans plus enterprise arrangements for clinics and health systems are available with demo booking. Because healthcare pricing is often seat- or organisation-based, confirm current rates on the official pricing page.

- **Ambient visit transcription:** Listens to the consultation in real time and converts it into a structured clinical note, with an emphasis on accurate drug names and specialty terminology.
- **Automatic note refinement:** Reviews the edits a clinician makes, groups recurring corrections, and proposes word library entries, auto-edit rules, and template changes to approve.
- **Document drafting after the visit:** Writes referral letters, letters back to the GP, care plans, and patient recaps straight from the finished note.
- **Pre-clinic and handover prep:** Builds the day's list, stages meds, allergies and recent results per patient, and drafts ISBAR-style shift handovers.
- **Desktop dictation app:** macOS and Windows builds let clinicians dictate anywhere on screen and capture telehealth audio directly from the call.

**Strengths:** Clinical accuracy is backed by cited, peer-reviewed safety research; Document flow extends well beyond the visit, covering referrals, handovers, recaps, and forms; Desktop app captures telehealth audio and dictates anywhere on screen; Supports many languages for transcription, useful for multilingual clinics

**Limitations:** Pricing is not fully public and typically requires contacting sales; Full value depends on integration with the practice's EHR and templates; Clinicians must still review and approve every output, so it does not remove the review step

[Profile (Markdown)](https://openaitools.app/tool/heidi.md)

## Frequently Asked Questions

### How do Arize AI and Heidi compare in monthly traffic?

Arize AI has 249,028 monthly visits, while Heidi has 2,184,693. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Arize AI has a month-over-month growth rate of +3.2%; Heidi has +7.9%.

### How does pricing compare?

Arize AI: Paid, Contact for Pricing. Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host. Heidi: Freemium, Free Trial, Paid, Contact for Pricing. Freemium. Clinicians can get started on a free tier, and paid subscription plans plus enterprise arrangements for clinics and health systems are available with demo booking. Because healthcare pricing is often seat- or organisation-based, confirm current rates on the official pricing page.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Freed AI Medical Scribe](https://openaitools.app/tool/freed-ai-medical-scribe) | 1,030,047 | +8.3% | Free Trial, Paid, Contact for Pricing | Offers robust clinical note drafting and front desk assistance, matching Heidi's streamlined ambient scribing workflow. | [.md](https://openaitools.app/tool/freed-ai-medical-scribe.md) |
| 2 | [Carepatron](https://openaitools.app/tool/carepatron) | 932,071 | +13.7% | Freemium | Bundles an AI clinical scribe directly within a complete practice management and EHR suite, unlike Heidi's standalone focus. | [.md](https://openaitools.app/tool/carepatron.md) |
| 3 | [Upheal](https://openaitools.app/tool/upheal-io) | 347,782 | -2.1% | Freemium, Free Trial, Contact for Pricing | Tailors its ambient transcription specifically for mental health professionals, offering deeper psychiatric documentation support. | [.md](https://openaitools.app/tool/upheal-io.md) |
| 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability. | [.md](https://openaitools.app/tool/prompts.md) |
| 5 | [Lyrebird Health](https://openaitools.app/tool/lyrebird-health) | 222,779 | -15.9% | Freemium, Contact for Pricing | Focuses on deep EMR integration for captured patient consultations, providing structured clinical summaries similar to Heidi. | [.md](https://openaitools.app/tool/lyrebird-health.md) |
| 6 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Includes integrated guardrails and simulation tools, but is less mature for large-scale enterprise production telemetry monitoring. | [.md](https://openaitools.app/tool/future-agi.md) |
| 7 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Features strong testing and prompt evaluation tools, though its monitoring interface is less oriented towards massive telemetry streams. | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 8 | [Scribeberry](https://openaitools.app/tool/scribeberry) | 107,930 | +6.4% | Freemium, Free Trial, Paid, Contact for Pricing | Captures patient encounters and formats structured clinical notes similarly to Heidi, with strong documentation options. | [.md](https://openaitools.app/tool/scribeberry.md) |
| 9 | [PromptLayer](https://openaitools.app/tool/promptlayer) | 85,899 | -4.6% | Free Trial, Contact for Pricing | Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability. | [.md](https://openaitools.app/tool/promptlayer.md) |
| 10 | [Confident AI](https://openaitools.app/tool/confident-ai) | 83,400 | -3.3% | Freemium, Paid, Contact for Pricing | Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure. | [.md](https://openaitools.app/tool/confident-ai.md) |

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Source: https://openaitools.app/compare/arize-com-vs-heidi

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