Understand
Make complex health information easier to act on
Explain conditions, treatment concepts, administration, side effects, and the questions worth raising with a healthcare professional — in plain language.
AI-powered patient support for life sciences
Turn health questions into trusted next steps.
OpenSupport helps patients and caregivers understand treatment, access, coverage and affordability with source-grounded AI — while giving life-sciences teams the governance, safety controls and insight a regulated environment requires.
Health information, not medical advice. No diagnosis. No prescribing. Not for emergencies.
- 7,500+
- sources indexed
- 11,000+
- retrievable passages
- 25+
- therapeutic areas
- 24/7
- patient access
My treatment was prescribed, but I am worried about the cost. What can I do?
Here are the next places to look
Depending on the medicine and your insurance, support may include manufacturer assistance, co-pay programs, or independent foundations.1
If coverage was denied, you can also request a formal appeal — plans must offer an internal review and an independent external one.2
Sources
- 1 Patient assistance & co-pay programs
- 2 Appealing a health plan decision
Illustrative example. Try the live assistant →
Designed around the questions patient-services teams care about most
- Citationsbehind every answer
- AE capturefor review workflows
- Multi-tenantenterprise isolation
- Analyticsquestions, gaps, outcomes
Why OpenSupport
Patient support shouldn't stop when the call centre closes.
Patients don't experience treatment as separate channels. Their questions move from symptoms to therapy, insurance, cost, appointments and next steps. OpenSupport creates one always-available, source-grounded support layer across that journey.
Access
Move from “what is this?” to “how do I get it?”
Help people navigate coverage, affordability, manufacturer assistance, independent foundations, denials, appeals, and access pathways.
Learn
See where the patient journey is breaking
Surface unanswered questions, low-confidence retrievals, content gaps, recurring access barriers, and emerging support needs by therapeutic area.
One experience across the patient journey
From first question to next best action.
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Understand the condition
Plain-language explanations of disease, progression, terminology, and what to ask next.
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Understand treatment
How therapies work, how they are given, what to monitor, and where the source information lives.
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Navigate access & cost
Coverage, co-pay support, patient assistance, foundations, denials, and appeals.
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Prepare for action
Questions for appointments, specialist resources, trial discovery, and appropriate next steps.
Built for regulated enterprise deployment
The AI experience patients want. The controls your teams require.
OpenSupport is designed as an engagement layer, not an unconstrained chatbot. Retrieval, sourcing, escalation, monitoring and tenant controls are built into the operating model.
Source-grounded responses
Answers are tied to retrievable evidence rather than unsupported free-form generation.
Adverse-event capture
Potential AE mentions are flagged and routed into pharmacovigilance review workflows.
Human escalation
Questions outside the AI boundary move to a human-response queue for source-grounded follow-up.
Training-gap detection
No-result and low-rated questions reveal where content or retrieval needs improvement.
Conversation analytics
Understand what patients ask, where they struggle, and which support topics recur.
Multi-tenant isolation
Separate environments, API keys, webhooks, and feature flags per deployment.
Auditability
Operational logs support review of system activity, usage, and deployment behaviour.
Modular deployment
Ship as a patient experience, a branded support layer, a portal capability, or an integrated service.
Evidence before eloquence
A curated knowledge base built to answer with receipts.
OpenSupport prioritises authoritative, peer-reviewed and institutional material. Lower-weight commercial content is labelled and never serves as the sole basis for an answer.
7,500+
sources indexed across 25+ therapeutic areas
11,000+ passages are retrievable today. The corpus is refreshed continuously, and stale content is archived rather than served.
Source mix, measured
- Authoritative 58.6%
- Peer-reviewed 26.7%
- Institutional 12.4%
- Government 1.4%
- Community 0.8%
- Commercial 0.2%
Share of 11,000+ retrievable passages as of September 2026. 0 rows without a usable embedding are excluded — they cannot be retrieved, so they are not counted.
Designed with boundaries
Trust is not a disclaimer. It is a product requirement.
Every answer shows its sources
People see the evidence behind an answer instead of being asked to trust an opaque response.
No diagnosis, no prescribing
OpenSupport provides health information and directs clinical decisions back to healthcare professionals.
Privacy-minimizing by design
The public patient experience does not require a stored medical history to answer a general information question.
Neutral information architecture
Retrieval and ranking prioritise source quality and relevance, not who funds a deployment. Identical logic runs for every tenant.
For pharma & life sciences
The intelligence layer behind patient engagement.
Where it fits
- Brand and disease-education websites
- Patient support and hub experiences
- Market access and affordability journeys
- Patient portals and digital companions
- Contact-centre deflection and after-hours support
- Enterprise patient-services platforms
What your teams learn
- Top patient questions by therapeutic area
- Where users fail to find an answer
- Coverage and affordability themes
- Content and training gaps
- Escalation patterns and unresolved needs
- Engagement trends without a medical-history profile
Give patients a better answer before they give up searching.
See how OpenSupport supports disease education, patient services, market access and enterprise patient engagement.