Hubble
AI-native medical record retrieval: one patient authorization pulls records from EHRs, payers, and the long tail.
If your product dies on record completeness rather than record access, Hubble attacks the right problem — voice and browser agents for the providers direct FHIR APIs never touch, plus a coverage loop that improves with use. Patient-mediated access, announced August 2026 and grounded in the federal right of access and TEFCA's Individual Access Services, is the piece competitors structured around API-only retrieval can't copy quickly. The trade-off is that retrieval still depends on a compliant authorization step. Evaluate against API-only retrieval vendors and a build-it-yourself integration team.
Verified 13d ago · liveness 70/100 · cite: rightaichoice.com/tools/hubble
- Consumer health, wearable, and digital health apps needing record history on day one
- Legal & litigation teams handling personal injury, mass tort, workers comp, and disability
- Insurance and underwriting teams collecting records with patient consent
- Clinical trials teams assembling real-world data, cohorts, and trial matching
- Non-healthcare use cases — the platform is built for patient records only
- Products whose records all live in already-connected EHRs, where direct FHIR APIs may be cheaper
- Organizations that can't or won't implement patient- or provider-mediated access
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Skip Hubble if every record you need already lives in connected EHRs and a direct FHIR API is cheaper — Hubble's value shows up on the providers and legacy sources APIs never reach.
Hubble's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
In short
Hubble — AI-native medical record retrieval: one patient authorization pulls records from EHRs, payers, and the long tail. Best for Consumer health, wearable, and digital health apps needing record history on day one, Legal & litigation teams handling personal injury, mass tort, workers comp, and disability, Insurance and underwriting teams collecting records with patient consent. Contact Sales pricing.
What's new in Hubble
Checked 5 days agoAcross the latest 3 updates: 1 feature update and 2 community discussions.
Hubble introduces patient-mediated access for medical records
Patients authorize once and their records return in one consistent shape. Hubble positions this as the scale path for record retrieval.
Hubble explains Individual Access Services under TEFCA
Hubble outlines IAS as the patient-facing lane of TEFCA and the mechanism that makes patient-mediated access scale.
Hubble details the patient right of access
Hubble frames the federal right of access as the legal basis for letting patients obtain and redirect their own records.
What people actually say about Hubble — is it worth it?
We scanned public community sources for Hubble on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Hubble? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Single API for EHRs, payers, HIEs, and the long tail
- Patient-mediated access via the federal right of access
- Provider-mediated access with read and write permissions
- Voice and browser agents for portal-only providers
- Fax agent for legacy and hard-to-reach records
- Assembled record where every field traces to its source system
- Faxes, portals, and legacy files converted into structured fields
- Gap checking and normalization into one record shape
- Coverage self-improves with every retrieval
- HIPAA-compliant permissions and audit logs on every call
- 70,000+ providers reached in production
- Electronic retrieval across Epic, athenahealth, and national networks
- No-code Workflows studio for composing operational agents
- Live dashboard for revenue recovered, actions taken, and failure rate
- AI Governance module to inventory, scope, and review AI tools touching patient data
About Hubble
Hubble is an AI-native medical record retrieval platform that gives health products and AI agents one route into patient data sitting in EHRs, payers, HIE networks, and the legacy systems no API reaches. You connect once instead of maintaining months of point integrations, and records come back as a single assembled set where every field carries the system it came from — Epic, athenahealth, UHC, Aetna, and beyond. The mechanism that makes this work is patient-mediated access, announced in August 2026. Under the federal patient right of access and reinforced by TEFCA's Individual Access Services (IAS), the patient authorizes once and their records follow them across systems. Provider-mediated access with read and write permissions is also supported. Hubble then goes after what the networks miss with voice and browser agents that work provider portals, and it turns faxes, portals, and legacy files into structured fields. Every record is checked for gaps and normalized into one shape. Coverage compounds rather than degrades: each retrieval teaches the platform how to reach a given provider, so success rates climb the longer it runs. Teams are live in production across 70,000+ providers, with every call permissioned and logged. Two products sit on the data layer — Data Infrastructure for engineering teams building patient-facing features, and a no-code Workflows studio where ops teams compose operational agents in plain language, watched over by a live dashboard of revenue recovered, actions taken, and failure rates. An AI Governance module inventories, scopes, and reviews every AI tool touching patient data. Buyers cluster into consumer health and wearables, legal and litigation (personal injury, mass tort, workers comp, disability), insurance and underwriting, clinical trials, and care delivery. Compared with API-only retrieval vendors, Hubble's edge is the long tail plus the self-improving coverage loop.
Behind the Verdict
Hubble's thesis is narrow and it holds up: most health data pain is not access, it is completeness. Direct EHR APIs and HIE networks cover the connected systems. They do not cover the portal-only clinic, the fax-only specialist, or the payer with no usable API — and that is exactly the long tail that stalls a records-dependent launch. Hubble's answer is a two-part architecture. The first part is patient-mediated access, announced in the August 2026 blog post 'Introducing patient-mediated access: records that follow the patient,' built on the federal patient right of access and TEFCA's Individual Access Services. The patient authorizes once, and the record follows them across systems rather than the requester having to chase each one. Provider-mediated access with read and write permissions is also supported. Strength: the coverage loop. Every retrieval teaches the platform how to reach a given provider, so coverage and success rates climb the longer it runs — the homepage describes this as 'coverage that compounds' and 'the context layer improves the more it runs.' That is a real structural advantage over a static integration list, because the hardest part of retrieval is not the first hundred connections, it is the ten thousandth provider with idiosyncratic portal behaviour. Second strength: output shape. Records come back assembled, with every field traceable to its source system — the sample on the homepage shows Epic, athenahealth, UHC, and Aetna values in one record — and every record checked for gaps and normalized into one shape. That traceability matters enormously in legal and insurance use cases where a value with no provenance is a liability. Third strength: the operational surface above the data layer. A no-code Workflows studio lets ops teams compose operational agents in plain language, a live dashboard tracks revenue recovered, actions taken, and failure rates, and an AI Governance module inventories, scopes, and reviews every AI tool touching patient data. For buyers in regulated categories, that governance module is the difference between a pilot and a production rollout. Weakness and honest constraint: retrieval requires a compliant authorization or consent step. Patient-mediated access is a legal mechanism, not a technical trick, and it depends on the patient actually completing the authorization. Provider-mediated access covers the cases where patient-mediated doesn't fit, but it introduces provider-side workflow dependencies. Second: non-healthcare use cases are out of scope entirely — this is a patient-record platform, and products whose records already all live in connected EHRs may find direct FHIR APIs cheaper. Third: the team behind it is genuinely experienced — CEO Prabha Dublish was first product hire at Grow Therapy (scaled from $90M to $3B valuation) and a former Meta PM; CTO Aaron Leon led 50+ engineers on Amazon One Medical's in-house EHR serving 1M+ patients and built Amazon Care's data platform. That's a
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Real-world workflow fit
Concrete scenarios for the personas Hubble actually fits — and what changes day-one when you adopt it.
Connect Hubble once to the EHR, payer, and HIE sources your onboarding flow needs, then call a single retrieval endpoint when a new user signs up.
Outcome: The new user's conditions, medications, and recent claims arrive as one assembled record with each field traced back to Epic, athenahealth, or the payer it came from, instead of months of point integrations.
Use the no-code Workflows studio to compose an agent in plain language that chases records for personal injury or disability matters, with voice and fax agents handling the portal-only providers.
Outcome: Records that used to take months of manual calling and faxing come back structured, and the live dashboard shows revenue recovered, actions taken, and failure rates per matter.
Run a consent-based pull for applicant or claimant records, then use the AI Governance module to inventory and scope every AI tool touching that patient data.
Outcome: Every call is permissioned and logged, and the governance inventory gives reviewers a defensible scope for each AI tool in the pipeline.
Use Cases
- Retrieve a patient's full record (conditions, medications) from an EHR in a single structured call
- Check insurance eligibility in real-time against a payer network (e.g., UnitedHealthcare)
- Build an AI agent that automates prior authorization by pulling patient data and payer rules
- Enable a chatbot to answer patient queries about their claims, labs, and pharmacy history
- Create a dashboard that monitors agent quality, surfacing hallucinations or data regressions
- Assemble a new patient's history before the first visit in care delivery settings
- Pull claimant records for personal injury, mass tort, workers comp, or disability matters
- Collect applicant records for life, disability, or P&C underwriting with patient consent
Limitations
- Access depends on patient or provider authorization — patient-mediated access under the federal right of access, or provider-mediated access with read and write permissions — so retrieval requires a compliant authorization or consent step that the patient or provider must actually complete.
- Core record retrieval relies on connections to EHRs, payers, and HIE networks, with voice, browser, and fax agents carrying the long tail.
- Non-healthcare use cases are out of scope entirely, and if every record you need already sits in a connected EHR, a direct FHIR API may be the cheaper path.
as of 2026-09-25
Verification history
We have re-verified Hubble 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Hubble's pricing actually pencils out — and where peers do it cheaper.
Hubble's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
Setup time & first value
How long it actually takes to get something useful out of Hubble — broken out by persona, not the marketing-page minute.
Engineering teams typically connect once and see first records without rebuilding point integrations. Consumer health apps and care delivery teams that need records before a first visit get to first value once the authorization flow is live. Legal, insurance, and clinical trials teams that need a specific claimant or applicant set can bring a real scenario to a 20-minute walkthrough to see how
Switching to or from Hubble
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From point-to-point EHR integrations: replace a stack of per-provider connections with one platform call that also covers payers, HIEs, and portal-only sources
- →From manual records retrieval: move faxing, calling, and portal logins into voice, browser, and fax agents that return structured fields
- →From API-only retrieval vendors: add the long tail those tools miss and let coverage compound with every retrieval
- →From an in-house retrieval build: hand off portal logins, provider quirks, and network changes that keep the build maintenance-heavy
- ↗To direct FHIR APIs: feasible only if every record you need lives in a connected EHR and you can absorb the point integrations
- ↗To a general-purpose RPA stack: requires rebuilding provider-specific quirks, authorization handling, and field-level provenance yourself
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Hubble”, and we withheld 6: 6 could not be judged, because “Hubble” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Hubble.
Official links
Tools that pair well with Hubble
Common stack mates teams adopt alongside Hubble, with the specific reason each pairing earns its keep.
BEKHealth
BEKhealth turns EHR data into clinical trial recruitment and real-world data from one longitudinal patient record.
Notable
Notable runs healthcare AI agents that automate patient access, revenue cycle, care operations, and contact center work.
Flatiron Health
Oncology real-world evidence platform turning patient data into AI-assisted cancer research insights.
Featured Head-to-Head Comparisons
Hubble vs Spider Cloud
These are not competitors and you should never choose between them: Hubble and Spider Cloud solve unrelated problems for unrelated buyers. Hubble is healthcare-only infrastructure — a single API to pull permissioned, source-traced patient records out of Epic, athenahealth, UHC, Aetna and the long tail, priced by sales conversation and gated behind HIPAA-compliant access models. Spider Cloud is general web infrastructure — render any page or crawl a whole site into markdown/JSON, with proxies and anti-bot handling as the thing you pay for. Pick Hubble if your product lives inside healthcare data; pick Spider Cloud if your agent needs live web pages. If you somehow need both, you would buy them separately, not instead of each other.
Hubble vs Voyage Ai
Voyage AI and Hubble serve completely different markets. Choose Voyage AI if you need high-accuracy, domain-specific embedding models for RAG pipelines (especially in finance/legal/medical). Choose Hubble if you are building healthcare AI agents and need one API to connect to EHRs, payers, and labs with HIPAA compliance. They do not compete directly.
Hubble vs Temporal Ai
For building reliable, fault-tolerant AI agents and workflows across any industry, Temporal is the clear choice with its open-source durability, multiple SDKs, and usage-based pricing. However, if you are in healthcare and need plug-and-play HIPAA-compliant access to EHRs, payers, and labs, Hubble is purpose-built for that — but its contact-based pricing and lack of recent updates may be a concern. Choose based on your domain: infrastructure vs. healthcare specialization.
Hubble vs Notable
If your priority is giving AI agents fast, HIPAA-compliant access to EHR and payer data across systems, choose Hubble. If you need an end-to-end automation platform for patient access, RCM, and care coordination workflows (with voice AI and natural language automation creation), Notable is the fit. Both target enterprise healthcare, but Hubble is a data layer while Notable is a workflow engine.
Hubble vs Reka
Choose Hubble if your AI product needs to tap into healthcare data (EHRs, payers, labs) without months of integration work — it’s purpose-built for regulated agent workflows. Choose Reka if you’re building real-time video intelligence for the edge, robotics, or public sector, where low-latency multimodal understanding on low-power devices matters. They serve completely different markets; your choice depends on whether your use case is healthcare data or physical world video.
Alternatives to Hubble
View all
BEKHealth
BEKhealth turns EHR data into clinical trial recruitment and real-world data from one longitudinal patient record.
Notable
Notable runs healthcare AI agents that automate patient access, revenue cycle, care operations, and contact center work.
Flatiron Health
Oncology real-world evidence platform turning patient data into AI-assisted cancer research insights.
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