Life sciences work runs on HCP engagement, trial site relations, KOL mapping, and payer conversations with HIPAA and sunshine-act compliance threading through every touchpoint. Strkr ships a schema shaped for that reality on day one.
A generic sales CRM gives life sciences teams a sales pipeline and conversion funnel. Life sciences does not run on that model. HCP engagement is a long-arc relationship with regulated communication constraints. Trial site relations run on protocol specifics and recruitment pace. KOL mapping runs on publication record, speaker-bureau activity, and influence tier. The pain points below are what Strkr onboarding hears from medical affairs, clinical operations, commercial launch, and market access teams.
A sales CRM account record carries industry, revenue, employee count, and website. An HCP record needs NPI, specialty, hospital affiliation, publication record, speaker bureau status, prescribing history (where available), and sunshine-act exposure. Strkr models HCP as a first-class object with the right field library on day one.
A clinical trial site has an IRB status, an enrollment target, a current enrollment count, an enrollment pace, a protocol version in use, a monitoring visit cadence, and a principal investigator. A sales CRM cannot carry that structure. Strkr's trial site object ships with the right fields and drives the enrollment forecasting view and the monitoring visit calendar.
The Open Payments program under the Physician Payments Sunshine Act requires reporting of every meal, sample, consulting fee, travel reimbursement, speaker honorarium, and research payment to a covered physician. A CRM that cannot capture the structure risks a reporting miss. Strkr tags HCP interactions with sunshine-act categories, captures the value, and produces a quarterly Open Payments ready export.
Life sciences communication touches protected health information when discussing a patient on an expanded access case, a managed access program, or a trial recruitment conversation. Strkr is HIPAA compliant with BAA available on request. The AI retrieval runs with scope limited to non-PHI fields by default, with per-matter scope expansion for the medical affairs team.
A commercial launch depends on the right KOL engagement. KOL mapping runs on publication record, conference presentation history, speaker-bureau activity, influence tier, and network relationships. Strkr's KOL object captures the structure and surfaces the right KOLs for a therapeutic area, geographic region, or launch program.
Market access conversations with payers (commercial insurers, Medicare, Medicaid plans, pharmacy benefit managers) start 24 months before launch and run through formulary decisions, prior authorization criteria, and value-based contracts. Strkr's payer object captures the structure and drives the pre-launch engagement cadence.
The default CRM schema does not map to life sciences. Strkr ships a tunable life sciences schema with HCP, Trial Site, KOL, Payer, Patient Advocacy Group, Clinical Program, and Interaction Log as first-class objects. The admin can rename or extend anything. The default lands close to where most teams settle after a 180-day customization sprint on a generic tool.
An HCP in Strkr carries NPI number, DEA number where applicable, primary and secondary specialty, hospital or practice affiliation, prescribing posture (adopter, considerer, non-prescriber, former), publication record linked, speaker bureau status, and sunshine-act exposure to date.
A trial site in Strkr carries site identifier, principal investigator, IRB status, protocol version in use, enrollment target, current enrollment count, enrollment pace, monitoring visit cadence, and site-specific amendments. The site object drives the enrollment forecasting view.
A KOL in Strkr carries therapeutic area, influence tier (national, regional, community), publication record, conference presentation history, speaker-bureau status, advisory board history, and network relationships. The KOL object drives the engagement cadence and the commercial launch planning view.
A payer in Strkr carries payer type (commercial insurer, Medicare, Medicaid plan, PBM), lives covered, formulary status for the product class, prior authorization criteria, value-based contract readiness, and account team contacts. The payer object drives the market access pre-launch engagement cadence.
A patient advocacy group in Strkr carries disease area, member count, annual meeting cadence, publication activity, advocacy posture, and engagement history with the company. The PAG object drives the advocacy relations cadence and the patient-reported outcome discussions.
A clinical program in Strkr carries phase (preclinical, phase I, II, III, IV), indication, protocol identifier, enrollment target across sites, timeline milestones, and regulatory posture (IND, NDA, BLA, PMA, 510k). The program object aggregates trial site activity for a cross-site view.
Every HCP interaction logs with date, interaction type (sales call, meal, speaker program, advisory board, publication discussion, trial site visit, medical information response), sunshine-act category, dollar value where applicable, and discussion topic. The log drives the Open Payments export and the audit trail.
Life sciences teams cannot ship AI drafted communication that reads like a chatbot. Medical affairs, commercial, and clinical operations expect precise, label-compliant, and HIPAA-aware copy. Strkr AI drafts in the right voice per audience with the required disclaimers and label references in place.
When an HCP asks a medical information question (off-label use, drug-drug interaction, pediatric dosing, pregnancy category) Strkr AI drafts a response from the medical information response library with label citations and the required reminder that the response is informational, not a prescribing recommendation. The medical affairs team reviews before send.
For prospective trial sites Strkr AI drafts a protocol-specific pitch covering protocol synopsis, inclusion/exclusion criteria, patient population fit for the site, visit schedule, enrollment target, and timeline. The clinical operations lead reviews and sends to the PI.
For KOL outreach Strkr AI drafts the advisory board invitation, speaker bureau invitation, or publication collaboration pitch with therapeutic-area context, prior engagement history, and compensation structure disclosure. The commercial or medical affairs lead reviews before send.
For market access conversations Strkr AI drafts a one-page value proposition memo per payer segment covering disease burden, standard-of-care gap, trial-based efficacy and safety summary, and economic case. The market access lead tunes per payer archetype before send.
After an advisory board meeting Strkr AI drafts the insight summary with session-level notes, cross-advisor themes, action items, and recommended next steps. The draft lands grounded in the meeting notes and the KOL profiles.
For investigator meetings Strkr AI drafts the site-specific pack with protocol highlights, site-specific enrollment context, prior visit notes, and open action items. The clinical research associate reviews before the visit.
Each quarter Strkr AI drafts the Open Payments reconciliation note summarizing total reportable payments by category, flagging data quality issues, and documenting the review trail. The compliance officer reviews before quarterly Open Payments submission.
Clinical operations teams run enrollment forecasting across a trial site network, usually in a bespoke spreadsheet that drifts weekly. Strkr's trial site surface captures enrollment pace, site-specific risks, and amendment status in one view, which gives the clinical operations lead a real-time forecast rather than a monthly reconciliation.
Each trial site has an enrollment target and a current enrollment count with a calculated pace (patients per month). The pace drives a green, yellow, red indicator against the trial-level enrollment timeline. The clinical operations lead sees the 42 sites ranked by risk to the enrollment timeline.
When a protocol amendment lands, each site needs IRB re-approval, consent form update, and site-specific training. Strkr tracks the amendment propagation across sites with status per site. The clinical operations lead sees which sites are gated on IRB approval and can intervene.
Risk-based monitoring prioritizes site visits by enrollment pace, data entry quality, protocol deviation count, and amendment status. Strkr's monitoring visit calendar surfaces the next 42 visits with the risk tier highlighted. The CRA plans the week against the risk list.
Protocol deviations (consent form issues, inclusion/exclusion violation, visit window miss, data entry error) log against the trial site with severity and remediation status. The clinical operations lead sees deviations across sites and routes serious issues to the CRA for site retraining.
Trial sites experience staff turnover (new coordinator, PI retirement, site closure). Strkr tracks the delegation log and alerts the clinical operations lead when a key staff change happens. The AI drafting pipeline refreshes the pack for the new PI without rebuilding from memory.
Site payment reconciliation runs against per-visit budgets, with payment triggered on visit completion data entry. Strkr tracks site budget usage against total budget and alerts clinical finance on budget risk. The payment approval workflow stays inside Strkr with webhook ties to the finance system.
Most life sciences teams run Veeva CRM or IQVIA OCE on top of Salesforce. The comparison below is Strkr's life sciences posture versus that stack for a mid-size biotech or medical device team.
| Feature | Strkr | Veeva CRM or IQVIA OCE on Salesforce |
|---|---|---|
| HCP as first-class object with NPI | Yes with specialty, affiliation, prescribing posture. | Yes with heavy configuration. |
| Trial site object with enrollment forecasting | Yes with pace indicator. | Add-on module typical. |
| KOL mapping with influence tier | First-class object. | Custom build. |
| Sunshine Act Open Payments export | Built in with per-interaction tagging. | Add-on module typical. |
| HIPAA with BAA on request | Available without tier gate. | Enterprise plan gate typical. |
| AI drafting with label citation | Scope locked to medical info library. | Generic AI with no scope control. |
| Setup time to first value | 28 to 42 business days. | 6 to 12 months. |
| Admin console self-service | Admin can tune schema, roles, workflows. | Partner-led typical. |
| Partner-led implementation retainer | None. | $20,000 to $40,000 per month typical. |
| Price per seat | Flat $29 to $119 per user per month. | $180 to $400 per user per month typical. |
The playbooks below are the patterns Strkr's onboarding team sees on life sciences deployments, from an 18-person phase II biotech to a 180-person commercial-stage medical device team.
A 24-person phase II biotech in Cambridge ran a shared Google Sheet for KOL mapping, a project management tool for trial sites, and a legacy email thread for medical affairs. The chief medical officer wanted one tool. Strkr onboarding ran a 28-business-day migration with KOL and trial site objects configured for phase II work. The CMO cut four tools and saved 22 hours per month on cross-tool reconciliation.
A 48-person diagnostics team in San Diego ran Veeva CRM for the sales team and a bespoke Salesforce build for medical affairs with a $420,000 annual contract. The CFO ran the numbers. Strkr onboarding ran a 42-business-day migration (longer than default because of Veeva export complexity). The HCP relationship book and the medical information response library ported over clean. Annual tool spend dropped 74 percent.
A 90-person contract research organization ran OCE for business development plus a legacy clinical trial management system. Strkr onboarding configured the trial site object for CRO use (multi-sponsor, multi-protocol, cross-site allocation) and the business development pipeline for CRO sales. The CRO cut OCE and saved $280,000 per year while gaining AI drafting for proposal responses.
A 180-person medical device team in launch mode ran a bespoke SF build for commercial, Veeva CRM for medical, and a separate payer tool. Strkr onboarding ran a 90-business-day phased migration (longer than default because of the three-tool consolidation). The HCP, KOL, payer, and account team objects landed in one tenant with role-based visibility. The launch team saw a single pane of glass for the first time.
A 32-person digital health company with a prescription digital therapeutic needed HCP engagement for provider adoption and payer engagement for formulary coverage. The team was running HubSpot plus a spreadsheet. Strkr onboarding configured the HCP, payer, and patient advocacy group objects for the digital therapeutic use case. The provider adoption workflow landed with Strkr AI drafting medical information responses from the clinical evidence library.
Book a 30 minute call. We will walk through the life sciences schema, the sunshine-act compliance workflow, the trial site enrollment forecasting, and the AI drafting with label citation with your actual therapeutic area and launch stage.
Strkr is HIPAA compliant with a BAA available on request without a tier gate. The AI retrieval runs with scope limited to non-PHI fields by default. Medical affairs teams working on expanded access cases, managed access programs, or named-patient conversations can expand scope per matter. The audit log captures every record read, record write, and AI call with retention tunable per tenant. SOC 2 Type II is in progress with target completion in 2026-Q4.
Every HCP interaction tags with a sunshine-act category (meal, travel, consulting fee, honorarium, sample, research payment, grant) and the dollar value where applicable. The quarterly Open Payments export produces the data in the format required by the Centers for Medicare and Medicaid Services. The compliance officer reviews before submission. The audit log captures the submission trail for the five-year retention requirement.
Strkr integrates with the major life sciences content and clinical trial management systems through the standard webhook spec with HMAC signing and a published OpenAPI spec. Veeva Vault for document management, Oracle Siebel or Medidata for clinical trial management, and Komodo or IQVIA for claims data all tie through the standard API. The integration is on your side, which keeps the data model clean.
Flat per-seat pricing at $29 per user per month on Starter, $59 on Pro, and $119 on Scale with SSO through Clerk, verified domains, and MFA. There is a 14-day trial on every tier. The Strkr AI add-on runs $49 per month per seat with 5,000 AI calls included (overage at $0.012 per call). A 40-person team on Pro with the AI add-on runs about $4,320 per month. For comparison, Veeva CRM typical pricing runs $180 to $300 per user per month before implementation and support.
Strkr Messaging is live for SMS and MMS at 2 cents and 5 cents per message with a base plan at $29 per month. The voice and dialer surface (recording, call summary, transcription, voice drop) is on the roadmap for 2027-Q1 and is not available today. For teams that need voice today, the recommendation is to use a separate voice tool and integrate call activity to Strkr through the webhook spec.
The KOL object captures therapeutic area, publication record (linked to PubMed where available), conference presentation history, speaker bureau activity, advisory board history, and network relationships. The influence tier (national, regional, community) is a configurable field with a default scoring heuristic from publication count and conference presence. The commercial launch planning view surfaces the right KOLs for a therapeutic area, geographic region, or program phase.
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