Optimizing pharma
decision-making
We believe:
- Commercial decision-making in pharma can be improved by deploying AI into commercial & portfolio strategy, business development & licensing, market research, forecasting and competitive intelligence
- Pharma companies need custom, proprietary AI infrastructure so that they can maintain a competitive advantage
AI competitive intelligence monitoring
Automated monitoring across global sources: clinical and regulatory events, deals, hiring, epidemiology and social media, with tailored scopes, filtering, and deliverables aligned to your asset strategy. Supported by a team that builds and maintains the system.
Problem
Slow vendors that miss events and can’t expand monitoring scopes.
Solution
Fast deliverables that need little editing, no more inbox noise, and flexible monitoring scopes.
94%
average reduction in time-to-deliverable over legacy vendors, including ad-hoc strategy research and report requests
Traditional monitoring
Pharosyn
Case study: Top 10 biopharma
A vendor takes two hours [to write an alert]. Here I get it in 15 minutes, and if I don’t like it, I can ask questions in the platform straight away instead of going back and forth for hours.
Director, Competitive Intelligence
Top 10 biopharmaceutical company
Case study
How a competitive intelligence director at a top-10 biopharma company rebuilt their monitoring function around Pharosyn.
Download the case studyCongress coverage
In-person coverage from experienced experts, alongside a platform that serves up information from the congress on a live basis.
Preparation
Title prioritization; planner and pre-draft creation; abstract searching
>3 weeks before
Live coverage
On-the-ground or online live session coverage through Pharosyn's Expert Network, made available through the platform
<10 minutes of each session end
Deliverables
Custom summary decks editable within the platform with Pharosyn AI
<1 day after congress
Included
- Dedicated online support throughout
- AI search and prioritization of titles and late-breaking abstracts
- Ad-hoc write-ups within minutes of request
Case study: Top 10 biopharma
We were not getting [sessions] summarised until 10 or 11 o’clock at night. Now we get full reports within minutes of a session ending.
Senior Manager, Competitive Intelligence
Top 10 biopharmaceutical company
Case study
How a competitive intelligence team at a top-10 biopharma company turned late-night congress write-ups into reports within minutes.
Download the case studyAI to improve decision-making
The core Pharosyn AI infrastructure is deployed across the rest of commercial biotech and pharmaceutical decision-making.
Market research
Thousands of HCP interviews conducted over years and across many geographies should be analyzed continuously with AI to identify trends to better inform the broader brand and portfolio strategy.
Forecasting
Using AI, model assumptions should be more fine-grained and be kept current in an autonomous manner with infrastructure that monitors thousands of sources, filters out noise, determines forecasting implications, to improve portfolio strategy decisions.
Search & evaluation
Pharosyn AI continuously monitors thousands of events, filters events to match desired criteria, and conducts preliminary evaluation stages, increasing the surface area and deal quality for BD&L.
Working with Pharosyn
We have assembled a team that combines AI research expertise from Cambridge and hands-on experience engineering AI-powered forecasting systems with decades of pharmaceutical consulting experience spanning portfolio strategy, market research, forecasting, and competitive intelligence.
The team
Tell us the problem you are trying to solve and we will put the right industry and engineering expertise in front of you.
Speak to the Pharosyn teamDelivery process
Forward-deployed from day one
Tight feedback loops with engineers that embed themselves in the team
First working system in weeks
Built to your specification, in your environment
Benefit from core Pharosyn AI tech
With your custom modules, input and output connections built on top
Case study: Eradigm Consulting
Our partnership with Pharosyn has been a joy right from the beginning... a true meeting of minds blending cutting-edge technology with deep CI industry expertise.
David McBay
Director, Eradigm Consulting
Security
Data Privacy & Security
Privacy-first data processing in secure cloud environments. SOC 2 aligned infrastructure with AES-256 encryption at rest and TLS-encrypted connections. Customer data is not used to train AI models.
AI Governance
Every AI output is traceable to its source data, so insights can be verified against the underlying documents. We use established foundation models for inference only, with the models in use tracked and pinned.
Role-Based Permissioning
RBAC with project and resource scoping, ensuring each user only interacts with authorized data. Fine-grained policy-based authorization and row-level security at the data layer.
