Our AI Platforms


The Reality

What’s holding Commercial and Medical teams back today.

Four frictions, not one.

01

An incomplete picture of every customer that matters

Too many sources, none unified.

02

Siloed systems

Internal, purchased, web, and 3rd-party data that should compound, doesn't.

03

Slow engagement on partial intelligence

Decisions made on incomplete signal, often after the moment to act has passed.

04

Shared objectives, not shared

Commercial and Medical share the same customer and the same goal, but neither function sees how affinity is evolving between them in time to act on it.

Doxsona and ACE were built to close all four.

How it works

An intelligence layer. An activation engine.
One platform.

Doxsona and ACE work as a pair. Doxsona continuously synthesizes every signal that matters into one refreshed view per customer. ACE turns that intelligence into the next move — recommended, orchestrated, and ready to act on. Together they give Commercial and Medical teams one source of truth, and the recommendations to act on it with conviction.

Doxsona

The Intelligence Layer

Synthesizes signals from internal, purchased, web, and 3rd-party sources into one continuously refreshed view per KOL, HCP, consumer, and patient.

Insights Strategies Recommendations

ACE

The Activation Engine

Turns intelligence into action — Next Best Action delivered inside Veeva, journey orchestration across channels, and approved-content guidance that the team can use right now.

Next Best Action Orchestration Approved Content

Built for every customer that matters

One platform. Four customer tracks.

Doxsona’s intelligence layer and ACE’s activation engine apply across every customer type your teams engage — with each track carrying its own logic, signal sources, and recommended next moves.

Track 01

KOLs

Influence mapping, scientific affinity, prioritized engagement, structured insight capture.

Track 02

HCPs

Conviction scoring, NBA in CRM, channel-performance reads, approved-content recommendations per call.

Track 03

Consumers (DTC)

Pre-treatment journey orchestration. Awareness through intent. Modeled affinity for unknown visitors.

Track 04

Patients

On-therapy support — financial, adherence, education — triggered by signals, not calendars.

For Marketing & Commercial

A funnel as smart as the brand — every channel, every HCP, every patient.

A unified picture of every HCP, consumer, and patient —
turned into orchestration the team can run.

HCP intelligence dashboard with NBA Conviction scoring fed straight into Veeva, per HCP and territory.

A 360° view of every HCP — prescribing history, payer mix, decile, channel engagement, conviction stage — with Next Best Action recommendations delivered inside Veeva. Updated continuously from claims, prescribing, omnichannel engagement, and field activity.

What it shows

Per-HCP profile with conviction score, recent engagement, recommended next message, asset, and channel — all in CRM.

How it works

Doxsona unifies the data; ACE generates the recommendation. Field sees what to say, when, and why — drawn from approved content only.

Sample use case

A rep walks into a top-decile HCP's office with the exact narrative that has been moving conviction in similar HCPs this quarter — not last quarter's pitch.

Omnichannel orchestration that learns Channel mix and content cadence sharpen every week from real signal.

Performance across field calls, email, EHR display, third-party HCP platforms, peer programs, and owned digital — measured against conviction movement, not just clicks. The channel mix reallocates against what is actually working.

What it shows

Which channels move which HCP segments at which conviction stages, with cadence and content recommendations per cohort.

How it works

ACE re-optimizes the orchestration plan weekly based on closed-loop signal — engagement feeds back, recommendations sharpen.

Sample use case

The team discovers that EHR display + email drives Aware-to-Trial movement faster than field-only for a specialty cohort — and reallocates spend mid-cycle.

Field reps walking in prepared The right approved message and asset, delivered inside the CRM.

Pre-call insights and approved-content recommendations per HCP, surfaced inside Veeva. No second login. No guesswork. The rep sees the right message, the right asset, and the right opening question for the conversation ahead.

What it shows

HCP context summary, conviction stage, recommended message and asset, and the rationale behind each — all drawn from MLR-approved content.

How it works

ACE matches content to HCP stage and channel preference; the firewall ensures only commercial-approved materials surface for commercial use.

Sample use case

Time spent prepping for a call drops from 30 minutes to under 5 — and the call itself opens with the topic the HCP is most likely to engage with.

Awareness → trial → adoption → advocacy A measurable path along the conviction continuum, per HCP and per cohort.

Every HCP is scored along the conviction continuum. Patterns of adoption — the combinations of cadence, content, and channel that drove movement — are surfaced at the program level so the team can replay what is working at scale.

What it shows

Per-HCP conviction stage with movement velocity, plus cohort-level progression trends region by region.

How it works

Doxsona measures conviction continuously; ACE surfaces the engagement combinations behind progression and recommends replay against similar cohorts.

Sample use case

Leadership sees the conviction curve shift in real time during launch — and adjusts incentive comp targets to match what is actually working.

Patient and consumer orchestration DTC, hub, and on-therapy support connected without seams.

One backbone across the full patient lifecycle — from pre-treatment DTC funnel through hub services and on-therapy support. Signals trigger interventions before barriers form, not after they cause discontinuation.

What it shows

DTC funnel progression, hub enrollment and barriers, on-therapy adherence and discontinuation risk — all in one customer view.

How it works

Doxsona models the patient journey; ACE triggers proactive support — PSP enrollment, copay, education — timed to actual signal, not a generic calendar.

Sample use case

A patient at high discontinuation risk gets an adherence outreach and a copay update before they miss a refill — without anyone manually pulling a list.

For Medical Affairs

The depth to drive the science —
and now the AI to match.

Medical Affairs already does the hardest scientific work in pharma. Doxsona makes it compound.

A live KOL intelligence dashboard Insights and recommendations per KOL, topic, and region — continuously refreshed.

A single dashboard view of every KOL — affinity by therapeutic question, position on the awareness-to-advocate continuum, peer-network dynamics, and full publication, trial, and engagement history. Updated continuously as ad-board takeaways, congress reports, and MSL conversations come in.

What it shows

KOL 360° — scientific output, congress activity, affinity scoring, peer network, conviction stage, and engagement across all five channels.

How it works

Doxsona unifies internal, purchased, web, and 3rd-party signal into one per-KOL profile, refreshed automatically as new inputs arrive.

Sample use case

Before strategic planning, the team can see exactly which KOLs are advancing along the continuum, which have plateaued, and which are at risk — by region, topic, and therapeutic question.

Cross-channel engagement strategy Informed by what is actually moving conviction in real time.

Engagement strategy that updates with reality, not with last year's segmentation. Correlates activity across every channel with conviction movement at the KOL level — so the team always knows what is working.

What it shows

Channel performance by KOL segment, topic resonance by sub-population, and which engagement modalities are driving conviction movement.

How it works

ACE surfaces channel and content patterns continuously, recalibrating the engagement plan as new signal lands.

Sample use case

When a competitor data drop changes the conversation, the engagement plan adjusts within days — which KOLs to brief, on which narrative, through which MSL.

MSLs prepared for every meeting Affinity, peer dynamics, and recent signals delivered before every conversation.

Pre-call intelligence delivered inside Veeva — no extra tool, no extra step. MSLs walk into every conversation with the full customer picture and the right scientific topics already surfaced.

What it shows

A current, multi-dimensional view of every KOL — scientific affinity by therapeutic question, recent publications and trial involvement, peer-network position, congress presence, and the prior engagement history that frames the next conversation.

How it works

Doxsona continuously synthesizes signal from publications, clinical-trial registries, congress activity, professional networks, and internal engagement records. The briefing rebuilds itself when anything material changes — a new paper, a new trial enrollment, a shift in advisory role — so the MSL is always working from the most current picture.

Sample use case

A new MSL inheriting a 60-KOL territory walks into their first meetings with the depth a veteran would have built over six months. Veteran MSLs reclaim prep time and arrive with context they couldn't have assembled manually — turning each conversation from a generic visit into a contextual, strategic exchange.

Awareness-to-advocate, measurable Conviction you can measure, not infer. Patterns of advocacy, surfaced and replayed.

Each KOL is scored along the continuum — Unaware → Aware → Aligned → Advocate → Champion — continuously, from MSL conversations, ad-board input, and behavioral signal. The patterns behind progression become visible and repeatable.

What it shows

Conviction stage per KOL, with the cadence, topic mix, and engagement combinations behind movement at the program level.

How it works

Doxsona tracks conviction shifts in real time. ACE surfaces the patterns that drove them, ready to replay against new KOL cohorts.

Sample use case

The team identifies the cadence and topic combination that converted a region's top KOLs from Aligned to Advocate — and runs the same play with the next region.

Launch readiness, lasting contribution Setting the stage for launch — or driving brand contribution post-launch.

For launch teams, Doxsona + ACE establish KOL readiness, evidence-gap visibility, and narrative pressure-testing well before commercial launch. For inline brands, the same platform sustains strategic insight loops, competitive monitoring, and congress and publication strategy aligned to what is actually moving.

What it shows

Pre-launch: KOL readiness, evidence gaps, narrative resonance. Post-launch: competitive shifts, conviction trajectory, congress and publication impact.

How it works

One platform scales from a single asset to a portfolio — intelligence carries forward as the pipeline expands.

Sample use case

Strategic planning for 2027 starts with the actual state of the KOL universe today, not last year's segmentation — and adjusts continuously as the year unfolds.

How it stands up

Activated in weeks.
Built to disappear into the work.

Phased to absorb. Not another system to project-manage.

Phase 0
2–3 weeks · Discovery

Stakeholder interviews, KPI alignment, data audit

  • Priorities and use cases
  • Source mapping and quality
  • Scope, budget, success metrics
Phase 1
~8 weeks · Foundation

First working dashboard and prioritized engagement plan

  • Priority sources connected
  • Identity stitching across tracks
  • Initial AI insights and NBA live
Phase 2+
Ongoing · Expansion

Scale across channels, tracks, and brands

  • Cross-functional intelligence merge
  • Closed-loop learning sharpens NBA
  • Portfolio-level views
2–3 wks
From kickoff to a working KPI framework, data audit, and aligned priorities.
~8 wks
First working dashboard and prioritized engagement plan in production.
1 platform
Across commercial, medical, and patient services — firewall by design.

See it in action

Ready to see what Doxsona and ACE
can do for your team?

A 30-minute walkthrough is the fastest way to see the depth of intelligence and the speed of activation — for commercial and medical alike.

We’ll be in touch within one business day.

At PIXACORE, we’re not just keeping pace with the future—we’re shaping it. Our dedicated investment in R&D ensures that we’re at the forefront of innovative technologies and platforms, from mixed reality and generative AI to the metaverse. This commitment means that our pharma clients are always equipped with cutting-edge solutions and able to turn today’s innovations into tomorrow’s competitive advantages.

Mixed Reality & Spatial Computing

“Crafting Immersive Experiences: Mixed Reality & Spatial Computing Expertly Leveraged”

With over 10 years of experience in VR/AR, PIXACORE is uniquely positioned to harness the full potential of mixed reality and spatial computing for the Life Sciences industry. These technologies offer more than just immersion: they redefine how we interact with and perceive digital information. For HCPs and patients, this means more engaging, intuitive, and impactful experiences. For internal stakeholders such as sales professionals and MSLs, this translates to enhanced training, collaboration, and presentation tools.

Our commitment is to identify the right opportunities—ensuring that every interaction is elevated, every message resonates, and every stakeholder benefits from the transformative power of mixed reality and spatial computing.

Try On Our Work

This paper, released on June 5, 2023—the day Apple announced its first-generation MR headset—presents compelling and game-changing use cases for the Life Sciences industry.

Generative AI

“Hands-On With Generative AI: Guiding Pharma Through a Systematic Approach”

At PIXACORE, our direct exposure and rigorous testing of generative AI have equipped us with a nuanced understanding of the technology’s strengths and limitations. This hands-on experience is invaluable when advising marketing and Medical Affairs clients. We’re uniquely positioned to guide you in taking a systematic approach, evaluating precisely where and how generative AI can be integrated to enhance engagement with HCPs and patients. With PIXACORE, you’re not just leveraging a technology—you’re harnessing a tested and refined strategy that ensures generative AI aligns seamlessly with your objectives and delivers tangible results.

Metaverse

“Metaverse in Pharma: Charting the Future of Digital Engagement”

The metaverse is more than a digital frontier—it’s the next evolution in pharma engagement. For digital marketers and Medical Affairs professionals, it offers unparalleled opportunities for immersive education and interaction. At PIXACORE, we’re at the forefront, guiding pharma procurement teams in navigating this new dimension. From strategy to execution, we ensure that the “metaverse” is more than a buzzword—it’s an integral part of your digital engagement toolkit.

Try On Our Work

This paper explores the potential impact of the metaverse on the Life Sciences industry, providing relevant use cases and practical advice for getting started. Download now to learn more!