OUR DATA IS THE CONTEXT YOU NEED

Deep commercial context so AI knows your business, market, and audience – and can act on it

AI fumbles without good data and context. Our Contextual Intelligence empowers pharma with critical HCP- and market-specific context. We bridge the gap between data lakes and execution-ready insights with two deep, proprietary datasets and sophisticated AI to ensure your teams operate with precision. Whether a rep is walking into a clinic or a digital ad appears in an EHR, the touchpoint is grounded in the same intelligence. 

Decision Intelligence
Optimization
Decision Intelligence
Optimization
Knowledge Nexus Model
Engagement Intelligence
Knowledge Nexus Model
Engagement Intelligence
Field + Digital Activity
Affinity Signals
Agents
Field + Digital Activity
Affinity Signals
Agents
Dynamic Intelligence

Make AI work for you with proprietary field and marketing data.

ontextual intelligence means we know what an HCP cares about, how they behave, and when they need information. Our system predicts the most effective path for engagement: this oncologist prefers efficacy data on an endemic site, or this neurologist is likely to open an unbranded email. Our datasets ensure field and digital always act on current, high-value intelligence.

Affinity Intelligence

Over 100M+ live behavioral signals across 7M+ NPIs help you determine specific channel, vendor, format, and message preferences for each HCP. Instead of fragmented, historical data, we eliminate static demographic guesswork and ensure your brand reaches the right audience today – exactly where and how it’s most likely to resonate.

Knowledge Nexus

Leverage 12+ years of Aktana’s life sciences expertise as your field intelligence layer. With 100M+ validated field signals, 5,000+ proven tactics, and 85+ validated use cases, it grounds every AI-driven action in real-world success. This empowers you with ready-to-use blueprints for boosting tactic effectiveness, accelerating impact, and maximising ROI.

Adaptive Learning Models

Our system learns continuously, and real-time optimization considers both long-term goals and short-term opportunities. For example, we automatically optimize tactics and reallocate budget to high-performing channels mid-flight to maximize ROI, and our engine prioritizes NBA suggestions for factors like urgency, HCP value, and resource constraints.

How the Engine Works

From raw data to a strategic business performance engine 

Ingest Commercial Signals
Ingest Commercial Signals

The engine continuously aggregates complex, real-world data from fragmented sources, including live lab results, medical claims, EHR data, digital behavior tracking, and more. This creates a holistic, real-time foundation of clinical intent and market dynamics, without relying on outdated target lists and static source intel.

Interpret Context with AI

Advanced machine learning algorithms cross-reference these incoming signals against our proprietary database of over 7M NPI-level profiles. The AI evaluates individual affinities, past engagement history, and current brand strategy to understand exactly what the HCP cares about and why they need information.

Generate Dynamic Recommendations

Based on this deep contextual understanding, the system predicts the most effective engagement pathway. It formulates hyper-personalized Next-Best-Action sequences with the exact channel, optimal message format, and ideal timing required to capture the provider’s attention, activate, and drive behavior change.

Orchestrate Across Channels

The platform autonomously deploys these tailored campaigns across your optimal channel and tactical mix, using integrations with 75,000+ digital publishers and endemic sites. Simultaneously, it pushes context-rich nudges directly into existing CRM workflows, ensuring alignment between sales and digital.

Learn and Optimize

The engine continuously monitors NPI-level touchpoints and tracks resulting script lift in real time. By feeding this performance data back into the system, the AI autonomously refines target segments, eliminates wasted media spend, accounts for rep feedback, and adapts your ongoing strategy mid-flight.

AUTONOMOUS, COMPLIANT EXECUTION

An intelligent multi-agent system rooted in transparency

Agentic AI transcends reactive tools by autonomously processing data to execute and optimize campaigns in real time. As commercial teams shift to a more precise, autonomous future, competitiveness and brand visibility depend on the data and context feeding AI systems. Our system blends traditional and agentic AI applications, and our Affinity Intelligence and Knowledge Nexus datasets provide the exact context to orchestrate effectively and win Share of Answer.

Adaptive Engagement Intelligence

AI analyzes live affinity signals paired with real-world signals of intent to autonomously refine digital deployments and field Next-Best-Actions, driving personalized cross-channel HCP engagement at scale.

RESULTS

More effective, personalized HCP engagement and faster optimization cycles.

AI Embedded Into Commercial Execution

Insights operationalized directly inside CRM workflows, shifting teams from static planning to coordinated, real-time action to unify digital and field.

RESULTS

Faster insight-to-action cycles and real field + digital alignment, with no black boxes.

Continuously Learning Commercial Models

Machine learning evolves mid-flight based on live engagement and market shifts, ensuring adaptive launch execution, precise targeting, and prioritization based on your strategy, goals, and constraints.

RESULTS

More adaptive launch execution and smarter engagement through the product lifecycle.

Cross-Channel Contextual Intelligence

Affinity intelligence and Knowledge Nexus merge field activity, digital behavior, and customer signals into the industry’s most comprehensive intelligence layer for unmatched precision and effective optichannel coordination.

RESULTS

Greater orchestration precision and stronger optichannel coordination.

Activate agentic AI today

Context-aware, continuously learning AI is essential for sustained global impact, and we’ve embedded these lessons into our core platform design to empower our clients more effectively as their strategies, technology, and the market continue to evolve.

Derek Choy on why context-aware, learning AI is the future of life sciences

Agentic AI is here. Learn how a multi-agent system leverages a deep knowledge base to continuously refine its recommendations, rapidly learning what strategies succeed or fail.

Pharma Phorum: End-to-end AI to transform customer engagement

This article highlights the value of cross-functional AI systems for pharma that solve multiple challenges at once, instead of piecemeal solutions that are challenging to scale and that can perpetuate silos.

FAQ

How are your contextual AI models trained without compromising proprietary data?

Our models leverage our prioritary affinity data and Knowledge Nexus containing. Client data remains securely siloed and is never used to train generalized models, ensuring your proprietary commercial strategies remain entirely confidential.

Agentic AI executes tasks autonomously but strictly within pre-defined, compliance-approved business rules. The system only utilizes MLR-approved content and orchestrates delivery based on verifiable, privacy-safe HCP affinity data, ensuring every engagement is both highly relevant and regulatory-compliant.

We deploy unified data services that continuously ingest live clinical signals like claims, lab inputs, EHR data, and digital touchpoints. This intelligence is translated directly into 1:1 HCP journeys, which include actionable Next-Best-Action nudges embedded within daily rep workflows. This includes context for the rep on the HCP’s recent journey and erases silos between field and brand teams.

Yes. We eliminate the “black box” effect by utilizing explainable AI that provides reps with the exact context and rationale behind every recommendation. Providing transparent insights—such as a recent high-intent digital search—builds trust and drives brand strategy adherence up by over 20%.