Hyperbound offers “Enterprise-grade AI sales coaching” for revenue teams, with AI buyers built from “2M+ hours of real B2B sales data.”1,3 Quantified is the AI Roleplay and Sales Coaching Platform for life sciences and regulated commercial teams, built for one outcome: reps certified on demonstrated behavior, scored against your own approved criteria. Quantified is used by 55,000+ field reps at 30+ enterprise customers, including more than 10 of the top global pharmaceutical companies. Run both on your own approved content.
Each vendor in its own words, with Hyperbound’s quoted and footnoted to the source ledger. Both offer AI roleplay, scoring, and coaching. The difference is a design choice: sales coaching built for B2B revenue teams from aggregated sales conversations, or a platform that goes deep on getting life sciences reps practiced, coached, and certified on your approved content.
Hyperbound’s pharmaceutical page says scenarios and scorecards “can be configured to reflect your organization’s approved messaging, compliance guardrails, and promotional standards,” with personas built from “public-facing messaging and aggregated conversation data.”3 Quantified builds every scenario from your approved content, then scores what each rep actually says. Compliance AI checks every session against your MLR-cleared claims, and off-label language is flagged.
Nine areas buyers actually evaluate. Where a capability is not publicly documented, we say so rather than assume it is absent.
| Evaluation Area | Quantified | Hyperbound |
|---|---|---|
01 Platform Focus | The AI Roleplay and Sales Coaching Platform for life sciences and regulated commercial teams: realistic practice, coaching, certification, and compliance scoring on one Adaptive AI engine, with white-glove service included. | Hyperbound describes itself as “Enterprise-grade AI sales coaching” across Practice, Perform, and Kota Activate,1 with AI buyers built from “2M+ hours of real B2B sales data.” It also publishes a pharmaceutical use page.3 |
02 AI Roleplay | The most realistic roleplay for life sciences: lifelike video avatars that respond in under a second and react to the visual aids reps share on screen. Personas range from HCP archetypes by specialty to payers and formulary committees, multi-persona roleplay puts several stakeholders in one conversation, and practice runs in 40+ languages. | “Multi-party roleplays” let reps “Simulate real buying committees with multiple stakeholders,” and “Live screen-share roleplays” let them “Practice your demo in real time with AI that understands what’s on your screen.”2 For pharma, scenarios are “fully customizable to your molecule, indication, and target HCP profile.”3 |
03 Scoring and Feedback | Every session scored against your own approved criteria and exemplars, calibrated with your trainers so scores match how your best people grade; the AI does not generate the rubric. Reps get scored feedback right away, in a judgment-free space to practice. | Hyperbound evaluates conversations “against customizable scorecards built around your methodology and messaging.” Scoring is “concept-based,” and reps get “detailed, criteria-level breakdowns” with “transcript citations.”2 |
04 Readiness and Certification | Certification gates on demonstrated behavior, not course completion, and it moves at launch speed: Sanofi certified 80% of a 500-rep field force within 48 hours. Leaders see readiness and message mastery the same week, and every certification leaves a record a reviewer can open. | Hyperbound “certifies reps on talk tracks, product knowledge, and competitive positioning through AI-driven assessments,” with “leaderboards, challenges, and progress tracking.”4 |
05 Coaching and Field Execution | Coaching is built in: Adaptive AI personalizes coaching for each rep by role, experience, and proficiency, and Sanofi’s managers “were able to start coaching right away.” Field AI, in beta and scheduled for Q4 2026 release, adds pre-call briefs, practice on the go, and a debrief after every HCP visit. Field AI reads from and writes to Salesforce Life Sciences Cloud and Veeva. | Hyperbound Perform is built for B2B deal execution: it “analyzes conversations across the full deal to surface patterns, risks, and next steps,” with coaching during live calls.5 |
06 Compliance | Compliance AI scores every session against your MLR-cleared claims, with nine pre-built rules across claims, safety, and conduct. Off-label language is flagged, scoring updates when labels change, and reviewers see adherence patterns across teams instead of reading transcripts. | Hyperbound’s pharmaceutical page says scenarios and scorecards “can be configured to reflect your organization’s approved messaging, compliance guardrails, and promotional standards,” and that coaching “flags messaging that drifts outside approved boundaries.”3 |
07 Authoring and Administration | Our team builds your personas, scenarios, and rubrics from approved content, and for a new indication turns final changes around within 24 hours of approval. Prefer to build in-house? Self-Authoring turns approved content into roleplays in days, with MLR review as a structured step. | Your team builds roleplays in Hyperbound’s bot builder, and full persona and module setup takes “two weeks on average.”2,4 |
08 Pricing and Services | One price at signing, scoped to your field force and the capabilities you need. Practice isn’t metered and there are no overage charges. White-glove builds, scoring calibration, and rollout support are included in every AI Roleplay program. | “Hyperbound is priced per user, with separate licenses available for Practice and Perform,” with “volume discounts based on team size and additional savings for multi-year agreements.”6 Per-user price points not published on hyperbound.ai as of Oct 16, 2026 |
09 Security and AI Architecture | A fine-tuned private model with an MLR-aware governance layer, built for regulated environments, not adapted from horizontal AI. SOC 2 Type II and pharma-grade security; customer data is never used to train public models. | Hyperbound’s trust center lists SOC 2 Type II, ISO 27001:2022, GDPR, and HIPAA.7 |
Comparison based on publicly available information as of October 16, 2026. Capabilities not publicly documented may still be available. Ask the vendor to demonstrate them.
Both platforms offer AI roleplay, scoring, and coaching. If certifying a life sciences field force is the job, start with the column on the left.
Each answer stands on its own and links back to the evidence in the comparison table.
With Hyperbound, your team builds the program in its bot builder, and full setup of personas and modules takes “two weeks on average.”2,4 Quantified includes white-glove service in every AI Roleplay program. Our team brings what we’ve learned from programs at the world’s largest pharmaceutical companies, builds personas, scenarios, and rubrics from your approved content, calibrates scoring with your trainers, and turns final changes around within 24 hours of approval. Self-Authoring is there when your team wants to build its own.
Hyperbound builds AI buyers from “2M+ hours of real B2B sales data,” and for pharma says it “does not require uploading proprietary clinical content or trade secrets,” because personas come from “public-facing messaging and aggregated conversation data.”3 Quantified builds every persona and scenario from your approved content, so reps rehearse the claims, visual aids, and objections they will meet in the field. Lifelike video avatars respond in under a second, and personas range from HCP archetypes by specialty to payers and formulary committees.
Hyperbound’s pharmaceutical page says scenarios and scorecards “can be configured to reflect your organization’s approved messaging, compliance guardrails, and promotional standards,” and that coaching “flags messaging that drifts outside approved boundaries.”3 Quantified runs compliance as its own layer. Compliance AI scores every session against your MLR-cleared claims, with nine pre-built rules across claims, safety, and conduct. Off-label language is flagged, and every session produces an audit-ready record.
Hyperbound’s scorecards are “fully customizable to any methodology (MEDDPICC, SPIN, Sandler, Challenger, Force Management, or your own proprietary framework),”2 and it “certifies reps on talk tracks, product knowledge, and competitive positioning through AI-driven assessments.”4 Quantified scores every session against your own approved criteria and exemplars, calibrated with your trainers so scores match how your best people grade. Certification gates on demonstrated behavior, and every certification leaves a record a reviewer can open.
Realistic practice on your approved content, scored the same way for every rep, with a record for every session.
Ours included. Not what the deck says: what the product does, on your content, in the demo.
Six working tools for life sciences training teams, from use case to success criteria, including a vendor scorecard you can run on any platform on this page.
Get the Pilot GuideResults across Quantified customers. These are not comparative results.
Quantified’s AI personas enabled us to scale our training without pulling people out of the field. Our learners loved how intuitive and customizable the tool was, and it became a key part of our accelerated training schedule.
Short answers for teams with Quantified and Hyperbound on the same shortlist.
Quantified is the AI Roleplay and Sales Coaching Platform for life sciences and regulated commercial teams.
Hyperbound offers “Enterprise-grade AI sales coaching” for B2B revenue teams across AI roleplay, deal coaching, and an AI sales performance agent.1 Quantified goes deep on readiness for life sciences and regulated commercial teams: every session is scored against your own approved criteria and your MLR-cleared claims, certification gates on demonstrated behavior, and white-glove builds are included. The table above sets out what each vendor publicly documents.
Yes. Hyperbound Practice lets reps “rehearse cold calls, discovery, objections, and demos with an AI buyer that reacts dynamically,” per Hyperbound’s Practice page captured October 16, 2026.2
It publishes its pricing model, not its price points. As of October 16, 2026, Hyperbound’s pricing page says it prices per user, with separate licenses for Practice and Perform and discounts for volume and multi-year agreements. Before you compare, ask for total year-one cost for each license you need, and who builds and calibrates your scenarios.
One price at signing, scoped to your field force and the capabilities you need. Practice isn’t metered and there are no overage charges. White-glove service is included in every AI Roleplay program: our team builds personas, scenarios, and rubrics from your approved content, calibrates scoring with your trainers, and supports you through rollout. Self-Authoring is available when your team wants to build its own.
Sanofi certified 100% of a 500-rep field force within a five-day certification window with four trainers, with 80% certified within 48 hours. Novartis reached a 95% first-time pass rate across 150+ sales specialists. Bayer certified 500+ reps at a 97% mastery rate.
Quantified integrates with LMS platforms so certification and readiness data reach the systems your teams already use. Field AI, in beta and scheduled for Q4 2026 release, reads from and writes to Salesforce Life Sciences Cloud and Veeva.
For pharma teams that want reps practiced, coached, and ready for the field, Quantified. It goes deep where readiness is decided: the most realistic AI roleplay in any persona, coaching built in, certification that gates on demonstrated behavior, and every session scored against your own approved criteria and MLR-cleared claims. White-glove service is included at one price known at signing, so you get a partner that builds the program with you, and Sanofi, Novartis, and Bayer have published measured results. Hyperbound fits B2B revenue teams that want sales roleplay and deal coaching on a self-serve platform their own team configures.
From each vendor’s publicly available materials, captured and dated in the source ledger below. Where a capability is not publicly documented we say so rather than assume it is absent. Every ledger row is re-verified quarterly, and we correct errors on request.
| # | Source | Type | Captured | Verified |
|---|---|---|---|---|
| 1 | Hyperbound homepage hyperbound.ai | Homepage | Oct 16, 2026 | Oct 16, 2026 |
| 2 | Hyperbound Practice product page hyperbound.ai/product/hyperbound-practice | Product page | Oct 16, 2026 | Oct 16, 2026 |
| 3 | Hyperbound pharmaceutical companies page hyperbound.ai/uses/pharmaceutical-companies | Solution page | Oct 16, 2026 | Oct 16, 2026 |
| 4 | Hyperbound Onboarding and Certifications page hyperbound.ai/use-cases/onboarding-and-certifications | Use case page | Oct 16, 2026 | Oct 16, 2026 |
| 5 | Hyperbound Perform product page hyperbound.ai/product/hyperbound-perform | Product page | Oct 16, 2026 | Oct 16, 2026 |
| 6 | Hyperbound pricing page hyperbound.ai/pricing | Pricing page | Oct 16, 2026 | Oct 16, 2026 |
| 7 | Hyperbound Trust Center security.hyperbound.ai | Security page | Oct 16, 2026 | Oct 16, 2026 |
Bring a real HCP objection and an approved messaging guide. We will show you the roleplay, the score against your own criteria, and the record your reviewer would open.
