Pretty Good AI vs Notable
Pretty Good AI vs Notable
Notable is an enterprise healthcare automation platform. Pretty Good AI is built only for athenaOne practices. Compare athena footprint, depth and fit.
The short answer
Pretty Good AI is the AI operations platform built only for athenaOne, with production access to 820+ athenaOne APIs and modules that run from referral and intake through to billing. Notable is a healthcare automation platform founded in 2017 and funded with a $100M Series B in November 2021 at a $600M valuation, sold mainly to large health systems, with 6 practice connections on the athenahealth Marketplace as of 2 October 2026. Its Marketplace listing names athenaCollector and athenaPractice as the required athenahealth products, which is a different footprint from athenaOne. If you are an athenaOne practice rather than a multi-hospital system, the comparison is enterprise breadth against athenaOne depth, and depth is what makes a call finish inside the record.
Pretty Good AI vs Notable, side by side
| Dimension | Pretty Good AI | Notable |
|---|---|---|
| Who the product is built for | athenaOne practices and groups. Practice administrators, office managers and COOs buy it, and the workflows are written to how that practice already runs. | Large healthcare organizations. Its own materials describe automating workflows across patient access and population health for healthcare organizations, and the named customer story on its Marketplace listing is a hospital and its affiliated medical group. [1] |
| athenahealth Marketplace record | 45 practice connections, 22 ratings, all five-star. athenahealth Marketplace partner since 2025. As of October 2026. | 6 practice connections, no ratings and no written reviews. Listed since December 2023. Checked 2 October 2026. [1] |
| athenahealth products required | Built against athenaOne. Workflows read and write the athenaOne records a practice actually uses. | The Marketplace listing names athenaCollector and athenaPractice as required athenahealth products. An athenaOne practice should confirm directly what is supported on its own configuration. [1] |
| Integration depth published | Production access to 820+ athenaOne APIs, read and write. Significant depth across the whole of athenaOne, where most vendors pick a narrower wedge and build inside it. | Describes integrating deeply with athenahealth as an AI-driven platform rather than a point solution. No athenaOne integration depth is published. Ask which athenaOne records the automation writes. [1] |
| Scope published | Voice, secure two-way text, web scheduling and self-check-in, forms and fax on one athenaOne integration, plus referral intake, schedule and capacity work, revenue protection and reporting. | Registration and intake, scheduling, authorizations, referrals and population health, positioned as a digital front door and an alternative to legacy intake, scheduling and chatbot tools. Marketplace subcategories are Digital Check-in and Scheduling. [1] |
| Voice on the phone | Voice is where we started. The agent answers, completes the work in athenaOne, and unanswered calls become cases rather than voicemail. | The published scope is self-service and digital. Nothing on the Marketplace listing describes an agent answering an inbound phone call, so ask what happens to the patients who phone instead of tapping a link. [1] |
| Company stage and funding | Private, athenahealth Marketplace partner since 2025, selling one product on one EHR. | Founded 2017 in San Mateo. Raised a $100M Series B led by ICONIQ Growth in November 2021 at a $600M post-money valuation, bringing total funding to roughly $117M. No later round is on record. TechCrunch described the 2021 product as RPA-based automation for healthcare admin. [3] , [4] |
| Time to live | 3 to 6 weeks on athenaOne, including the discovery work that finds the scheduling and intake rules nobody wrote down. | Its Marketplace listing states that athenahealth customers launch within four to six weeks using a deployment playbook. [1] |
| How you buy it | Direct. Pricing model published: platform per location, a per-provider fee for the modules switched on, voice per call. No setup fees. First 30 days live free. Month to month after. No annual lock-in. | Listed as an Alliance Partner solution available through athenahealth, where an athenahealth representative follows up with availability, pricing and implementation details. No price is published. [1] |
An enterprise platform and an athenaOne platform
Pretty Good AI sells one product on one EHR. Notable sells a healthcare automation platform, founded in 2017, funded with a $100M Series B in November 2021 at a $600M valuation, and aimed at large healthcare organizations. Its athenahealth Marketplace listing carries 6 practice connections as of 2 October 2026.
Both automate the work in front of the visit. The difference is which direction the engineering points. Notable’s points across a healthcare enterprise. Ours points into athenaOne, all of it.
Start with the listing, not the brand
One detail decides most of this comparison for an athenaOne practice, and it is printed on Notable’s own Marketplace listing: the required athenahealth products are athenaCollector and athenaPractice.
athenaPractice is a different product line from athenaOne. That does not mean an athenaOne practice cannot work with Notable, and we are not going to guess at what they support off a listing field. It means the question belongs on the first call, before a shortlist forms: which athenahealth configuration is live today, how many practices on that configuration are running, and what the integration writes back.
The 6 connections sit alongside that. We are at 45 with 22 ratings, all five-star, as of October 2026. Connection counts are a crude measure of a lot of things, but they are a direct measure of one: how many athena practices have actually turned this on.
What built-before-2023 means, fairly
Notable has real production scale and has had it for years. TechCrunch’s 2021 coverage of the Series B described automation running inside large systems, and a platform that has survived that long inside hospital operations is not a toy. Where the rules are stable and written down, deterministic automation is an excellent answer and hard to beat.
Where it gets harder is the exception. Our starting point was a phone call, which has no draft and no retry. The patient is on the line, the agent gets one pass, and whatever it decides has to be right and has to land in athenaOne before the call ends. Everything about how we built the integration follows from that constraint, which is why we hold production access to 820+ athenaOne APIs, read and write, instead of a narrower wedge.
So the fair question to put to any vendor founded before 2023 is not “are you AI”. It is which parts were rebuilt for agents and which parts were wrapped.
The rule nobody wrote down
This is where the direction of the engineering shows up in a practice’s week.
At one vascular group, roughly nine in ten visits are a diagnostic ultrasound paired with an office visit with the physician, booked together with specific spacing. Patients do not know this. They call and ask for an appointment with their doctor. Nothing in the scheduling template enforces the pair. The rule exists only as practice convention, so the only way to find it is to read ninety days of that practice’s own booking history, infer the pattern, and confirm it with staff before writing it into a workflow.
We know how it fails, because it failed on a live test call there. The agent booked the ultrasound and the provider visit for one body region, and the follow-up task that should have been created was not. Half the workflow silently did not exist. Staff caught it in review, which is the design: the exception goes to a person who is expecting to look, not to a patient at check-in three weeks later.
A self-service portal does not discover that rule. A playbook deployment does not either. Somebody has to go and find it in the data and then sit with the staff who have been working around it for years.
What runs on our side today
Voice answers and completes the work. Unanswered calls become cases in athenaOne. Secure two-way text runs on the same integration, so a thread and a call share context and write the same records. Around that: referral intake from fax, portal and web, tickler and order outreach, waitlist backfill and no-show recovery, eligibility and prior-auth prep, denials and appeals, balance outreach under your billing team’s rules, post-visit outcome calls and surveys, forms signed inside athenaOne, web scheduling and self-check-in, and per-call review with reporting on all of it. We run the full administrative call in 10 languages, English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian and Dutch, with the same workflows in each.
Clinical decisions stay with your care team. The Pretty Good AI platform has attained HITRUST i1 certification. Pretty Good AI signs a HIPAA Business Associate Agreement (BAA) before any patient data is touched. SOC 2 Type II and ISO 27001 audit reports are available upon request.
What we would tell you to check
Ask both vendors for a live call and a live booking on your own tenant, and watch whether athenaOne ends up updated with no task created for staff. Ask how many practices on your exact athenahealth configuration are live today. Ask what happens on the ones that fail, who sees the exception, and who rewrites the workflow in January when your scheduling rules change.
Then run the test that actually separates us. Describe the most awkward local rule you have, the one your staff work around every week, and ask each vendor how long it takes to automate that rule as your practice runs it. Our answer is days to weeks inside the same onboarding window, because the depth of the athenaOne integration is what makes an unusual workflow buildable at all, and because we map the workflow your staff already run rather than asking them to re-cut it to suit the product. You do not adapt to us.
Then get the total. Ours is a platform fee per location, a per-provider fee for the modules you switch on, and voice metered per call. We agree on the first workflow, how success will be measured, and the pricing for continued use before launch. There are no setup fees. Your first 30 days live are free. The clock starts when your first agreed workflow goes live in your practice, whether that is voice, web scheduling, referrals or another workflow. When the free 30 days end, service continues automatically, month to month, at the pricing in your order form. New workflows are priced when activated. Every competitor figure on this page was checked against the vendor’s own Marketplace listing and published reporting on 2 October 2026.
Frequently asked questions
- What is the difference between Pretty Good AI and Notable?
- Pretty Good AI is built only for athenaOne, with production access to 820+ athenaOne APIs, and runs the phone alongside intake, scheduling, referrals and revenue work on that one integration. Notable is a healthcare automation platform sold mainly to large health systems, with a published scope centered on self-service registration, intake and scheduling. On the athenahealth Marketplace it carries 6 practice connections as of 2 October 2026 and names athenaCollector and athenaPractice as its required athenahealth products. [1]
- Is Notable a good fit for an athenaOne practice?
- Ask them, and ask it precisely. Its Marketplace listing names athenaCollector and athenaPractice rather than athenaOne, and it shows 6 practice connections against a customer base its own materials describe as healthcare organizations and hospitals. Those are facts from its own listing, checked on 2 October 2026, and they are the right things to put in front of the vendor before a shortlist. [1]
- How much funding has Notable raised?
- Roughly $117M in total. The last round on record is a $100M Series B led by ICONIQ Growth, announced in November 2021 at a $600M post-money valuation, with participation from Greylock, Oak HC/FT and F-Prime. The company was founded in 2017. We cite the funding because a well-funded platform generates comparison searches, not because the raise tells you what the product does on your tenant. [3] , [4]
- Does the age of a platform matter when buying AI?
- It changes what you should ask. Notable was founded in 2017 and scaled its platform before large language models existed. TechCrunch described it in 2021 as RPA-based automation, which is a sound architecture for deterministic, rules-driven tasks and genuinely hard to displace where the rules are stable. It is a different starting point from an agent built to hold a live phone conversation and resolve an exception it has not seen before. Ask any vendor founded before 2023 what was rebuilt rather than wrapped. [3]
- What should an athenaOne practice ask both vendors?
- Ask for a live call and a live booking on your own tenant, not a demo tenant, and watch whether athenaOne ends up updated with no task created for staff. Ask how many practices on your exact athenahealth configuration are live today. Then describe your most awkward local rule, the one your staff work around every week, and ask how long it would take to automate that specific rule rather than a standard version of it.
Sources
Everything stated here about another vendor comes from that vendor's own public material or from the athenahealth Marketplace listing, on the date shown. Vendors change their products and their pricing; if something below is out of date, email contact@prettygoodai.com and we will correct it.
Competitor cells last checked against these sources by Kevin Henrikson on 2026-10-02.
- Notable, athenahealth Marketplace listing (accessed 2026-10-02)
- Notable company site (accessed 2026-10-02)
- TechCrunch, Notable raises $100M at a $600M valuation (accessed 2026-10-02)
- CB Insights, Notable company financials (accessed 2026-10-02)
- Pretty Good AI, athenahealth Marketplace listing (accessed 2026-10-02)
Why athenaOne practices evaluate Pretty Good AI
We are your AI team for athenaOne.
Your practice has its own providers, processes, and rules. Pretty Good AI works with your team to fit the first workflow to the work you want to improve, agree on how to measure it, and keep improving it as your practice changes.
Live and measured
- 100,000+
- patient calls a month, at more than one customer
- About 60%
- of those calls handled start to finish by the AI at the largest deployments
- Hundreds
- of providers inside a single group
- 20
- specialties on our athenahealth Marketplace listing
Customer-reported results. Your numbers will vary by workflow, staffing, seasonality and call mix.
See it against your own athenaOne data
The honest way to compare is on your own call volume, your own schedule and your own payer mix. Book a working session and we will walk your numbers.