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Ops EfficiencyEstablished · 1 yrs on market

Notable

The AI platform purpose-built for healthcare, automating patient access, revenue cycle and care operations work with AI agents

By Notable · HQ San Mateo, US · 4.0/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Health systems and medical groups automating patient access, intake, referral and registration workflows
  • Revenue cycle teams targeting denial prevention, prior authorization speed and higher copay collection
  • Care operations teams doing chart review, care-gap closure and risk adjustment at scale
  • Contact centers handling high call volumes that want measurable containment and staff savings

Ideal size: Enterprise (500+ staff) people · Large health system or medical group with mature EHR data, RCM operations and IT integration capacity

Not for

  • Small independent practices without IT or EHR integration resources
  • Non-healthcare businesses - the platform is purpose-built for healthcare
  • Buyers who need published self-serve pricing or a free tier before evaluating
  • Teams wanting a light-touch tool with no data integration work

Value metrics scorecard

Time-to-Value

3-6 months (enterprise rollout)

~90 days to first production value

Total Cost of Ownership

On request

Quote-based enterprise contracts; no pricing published on the vendor site, so cost is set through a sales conversation

Implementation Friction

4/5

Engineering + admin effort required

Value-Position score

4.0

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not listed

Add-on costs

  • None

Company & support

Who is behind Notable, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
San Mateo, US

How you get support

We haven’t recorded support channels for Notable yet. Nothing here means unverified — not absent.

Market position

Where Notable sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr18d54d90d100d120dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyNotableQventusAnteriorPlanet DDSMatrix42Suki

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Notable is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Notable
  • Qventus
  • Anterior
  • Planet DDS
  • Matrix42
  • Suki
Add or change companies

Up to 10 companies including Notable. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What Notable ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Agentic workflowsDocument processingCopilot / assistant

Vendor pages describe AI Agents that automate patient access, revenue cycle and care operations work, Flow AI for agentic workflows, a Voice AI agent for pre-procedure instructions, and Sidekick for staff assistance. No source names an underlying model provider, states how AI is billed, or documents per-action AI audit logging.

Your data & models

Trains on your data
Not recorded — ask the vendor
Runs on
Not recorded
AI pricing
Not recorded

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 ISO 27001 GDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Notable is an AI agent platform purpose-built for healthcare, automating patient access, revenue cycle and care operations work for provider organizations. Vendor-reported results include 12K+ sites of care, 38M patients served and 1.5M tasks automated daily, with cited outcomes such as 57% call containment and $3.3M annual value. The Trust Center lists SOC 2 Type 2 and ISO/IEC 27001:2022 (plus HITRUST and PCI DSS). Pricing is quote-based and not published, and deployments are enterprise-scale, requiring EHR integration work.

Frequently asked questions

What work does Notable automate?

Notable sells an AI agent workforce across three areas: Patient Access (pre-procedure instructions, referral leakage, intake and registration), Revenue Cycle Management (copay estimation and collection, prior authorizations, appeal letters) and Care Operations (chart review, care-gap closure, risk adjustment). The vendor reports 1.5M tasks automated daily and named health-system customers.

Is Notable's pricing published?

No. Notable's site does not publish list pricing, seat tiers or plan details; the only path is a demo request or a sales conversation, so buyers should expect quote-based enterprise contracting and an implementation effort. Budget planning should assume annual enterprise spend rather than published per-seat rates.

Which security certifications does Notable hold?

Notable's Trust Center lists SOC 2 Type 2 and ISO/IEC 27001:2022 compliance, along with HITRUST and PCI DSS. The trust center also documents product security items such as audit logging, SSO support and data security, and hosts reports including a HITRUST report and CAIQ self-assessment. HIPAA and FedRAMP are not explicitly claimed on the pages reviewed.

How does Notable fit our existing stack?

The vendor markets Integrations, a Connector Hub and a Flow Builder, but the pages reviewed do not name supported EHRs, CRMs or cloud platforms, so integration fit must be confirmed during evaluation. Notable's own trust center lists Google Cloud Platform as part of its infrastructure, which says nothing about customer-side integrations.

How does Notable handle customer data and AI model training?

The trust center states that data privacy and security practices follow industry best practices and applicable privacy regulations, but no vendor page reviewed states whether customer data is used to train or improve AI models, which providers' models are used, or how AI usage is billed. Those points should be confirmed in contracting.