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AI Solutions
For Pharma & Life Sciences

From accelerating drug discovery to driving commercial success - our AI solutions support pharmaceutical innovation end to end. 

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Improve HCP Engagement

Get easy access to comprehensive HCP profiles, especially KOLs. Our integrated Machine Learning models provide powerful tactical recommendations for sales coverage.

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Get all the information you need via state-of-the-art dashboards

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Augment your sales team’s knowledge with AI-based recommendations

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Generate Next-Best action recommendations for any individual HCP

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Get sales coverage suggestions that span across digital and traditional channels

Watch The Rep Co-Pilot Demo
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Optimize Your Marketing Channels

Empower your pharma sales teams by providing them with tactical recommendations to maximize ROI, and  personalize customer experiences. Measure your commercial impact by optimizing your marketing channel mix, generating different scenarios and allocating your budgets more efficiently .

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Analyze historical campaigns data for ROI and engagement

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Get AI driven recommendations on marketing spend allocation 

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Identify the best case scenarios for your brand portfolio using simulation

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Monitor your campaign performance and get alerts for underperforming channels, enabling quick adjustments to boost ROI

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Identify and Manage Your KOLs

Create Key Opinion Leader (KOL) rankings and Brand Adoption Ladder ratings. Our solution brings into focus those physicians, researchers, and academics that can have the most influence for any given drug or therapy area.

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Obtain comprehensive profiles for KOLs

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Learn about KOLs preferred communication channels

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Prioritize engagement activities

with KOLs based on potential

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Smart Content for Marketing Campaigns with Agentic AI

Leverage agentic AI to automate content generation using structured inputs, approved data sources, and persona-driven frameworks.

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Generate text and images for different channels such as email, social media, and print ads
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Create content quickly for HCPs and patients from approved brand documents and trusted sources
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Embed MLR guidelines into content creation workflows to ensure compliance

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Align content with HCP and patient personas for relevant and impactful messaging

Improve Clinical Trial Plans and R&D

We help pharma R&D teams harness advanced analytics, graph AI, and generative AI to uncover novel targets, optimize compound selection, and reduce the time and cost needed to bring effective therapies to patients.

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Build 3D models of the target protein, even without detailed lab data
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Generate possible drug compounds that are likely to work and easy to manufacture
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Check for "freedom to operate" and avoid legal or patent issues with existing drugs
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Integrate multi-omics data in your analysis
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Transform Drug Launches with Agentic AI

Agentic AI improves every phase of a launch—reducing risk, accelerating execution, and enabling smarter decisions.

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Track market and KOL activity in real time from trials, publications, and events


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Guide field teams with in-CRM support and context-aware suggestions

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Accelerate content approval by pre-checking materials against brand libraries
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Analyze field feedback to detect objections and optimize strategy fast

Why Lynx Analytics

Built for Pharma. Trusted Across the Value Chain.

Proven track record with top global pharma companies
Modular solutions tailored to your data ecosystem

Scalable AI infrastructure — from pilot to enterprise rollout

Experts in Generative AI, graph analytics, and life sciences data

Our Clients in Pharma & Life Sciences

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Knowledge Center

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Agentic AI in Pharma

Learn how pharmaceutical companies can transform product launches and commercial operations using Agentic AI—intelligent software agents that automate tasks, orchestrate workflows, and personalize engagement at scale. 
 
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$60M Reallocated. $100M Revenue Uplift.

Discover how Lynx Analytics' AI solution enabled a pharma giant to reallocate $60M in spend and unlock $100M in revenue with data-driven insights.

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Creating Personas Using Internet-Scale Data

In light of the technological transformation that has happened over the past couple of years with the onset of Large Language Models (LLMs), this paper highlights a modern approach to the HCP segmentation to highlight the concepts of beliefs, barriers and the confluence of these to optimize engagement strategies.

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CRM x Generative AI in Pharma

Imagine a world where your CRM doesn’t just passively store information but actively helps you make smarter decisions—telling you who to see next, what message to deliver, and which product aspects to emphasize. Instead of viewing your CRM as a time-consuming chore, what if it became your most valuable asset in navigating complex customer interactions and maximizing sales effectiveness?

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Creating Personas for Successful Pharmaceutical Marketing 

Learn how we enhanced the transparency and relatability of persona attributes, fostering deeper collaboration between data scientists and marketing professionals for a prominent US-based pharmaceutical company.

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Supercharging ATUs in Pharmaceutical Companies

Learn how pharma organizations can get ahead by identifying early indicators of emerging trends, such as changes in customer preferences and competitive landscape which can inform strategic decision making. 

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Launch of a New Obesity Drug – How a Pharma Company Used AI to Improve HCP Engagement

Discover more about the transformative journey from traditional face-to-face engagements to digital channels in healthcare outreach. Explore the innovative strategies implemented to redefine high-value physician coverage and optimize engagement. Delve deeper into this case study to gain insights into the future of pharmaceutical go-to-market strategies.

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Best Practices for Pharma Analytics: Optimising the Brand Adoption Ladder

Learn how we developed a machine-leaning-based
recommendation engine that classifies HCPs based on factors including their interaction patterns with the pharmaceutical company, socio-demographic data, online behaviour and relevant sales data. 

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