Skip to content
Contact us
Contact us
Ask LynxScribe
LynxScribe
Start new conversation

AI Solutions
For Pharma & Life Sciences

Optimize sales strategies, marketing channel mix, and spend. Identify and engage influential KOLs, and track brand adoption.

 
Download CRM x Gen AI White Paper
Personas(website image)-2

Improve HCP Engagement

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

Commercial Excellence -1

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

Commercial Excellence - 2

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

Commercial Excellence - 3

Generate Next-Best action recommendations for any individual HCP

Commercial Excellence - 4

Get sales coverage suggestions that span across digital and traditional channels

Watch The Rep Co-Pilot Demo
Personas(website image)-2
optimize-marketing-channels-1241x1033-1

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 .

file-chart-column-sharp-regular

Analyze historical campaigns data for ROI and engagement

circle-dollar-regular

Get AI driven recommendations on marketing spend allocation 

list-ol-solid

Identify the best case scenarios for your brand portfolio using simulation

list-ol-solid

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

key-opinion-leader-1241x1033-1

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.

Commercial Excellence -1

Obtain comprehensive profiles for KOLs

Commercial Excellence - 2

Learn about KOLs preferred communication channels

Commercial Excellence - 3

Prioritize engagement activities

with KOLs based on potential

key-opinion-leader-1241x1033-1
clinical-trial-research-1241x1033
clinical-trial-research-1241x1033

Improve Clinical Trial Plans and R&D

Optimise clinical trial plans as a function of your endpoint, candidates and participants. Improve bench research, identify key criteria for participants to achieve greater efficacy while maintaining safety, and increase probability of success for Phase 1 trials.

Clinical Trials - 1

Define specific criteria for study population

syringe-solid

Narrow down possibilities for targets

Clinical Trials - 2

Predict prevalence of adverse events and understand correlations between them

Frame 91

Explore “hits” and their potential before doing bench research

Our Global Impact

We have effectively delivered a range of solutions across various regions, leveraging our deep understanding of pharmaceutical data and comprehensive knowledge of regulatory and legal requirements. The graph below showcases some of the solutions we've developed and the regions where they were implemented.

Our Clients in Pharma & Life Sciences

genentech
AstraZeneca-Logo-1.wine
amgen
novo-nordisk
Organon-logo.svg-1
Cytovia_Logo_Logo
HMBD_Header-Logo-536x162-1

Knowledge Center

white-paper-illustration-860x645

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?

Download
Scree

Fostering Patient Engagement and Trust 

Learn how Organon collaborated with Lynx Analytics, to develop a sophisticated yet user-friendly chatbot. The collaboration was marked by the integration of cutting-edge AI technologies into Organon’s existing Azure platform, ensuring a seamless fit within their infrastructure.

 
Download
doc-2-2

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.

 
Download
doc-2

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. 

Download
137baef8-f966-43e3-b346-3cccd68fbb2a

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.

Download
Screenshot 2023-01-17 at 4.03.59 PM

Using Graph Analytics to Simulate Changes in Gene Expression

Learn how we collaborated with a leading biotech company to analyze a set of genes that are over expressed in a condition and identify a target or a biomarker of poor prognosis or response to therapy.

Read
Screen Shot 2021-11-15 at 2.08.06 PM

Data Infrastructure Transformation Gives Global Pharmaceutical Firm A New Age 

Learn how Lynx Analytics partnered with a leading global pharmaceutical company to overhaul its legacy data systems, thereby empowering it to improve its customer engagement and optimise its commercial agenda. 

Read
brand

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. 

Read