Pharma NPP Teams Are Building Market Landscapes the Hard Way.
Pharma new product planning requires a complete picture of the indication: every competitor in the pipeline, every mechanism being evaluated, every readout scheduled, every unmet need uncovered.
Building that picture today means multiple databases, manual pulls, and a week of reconciliation, for an indication landscape that's out of date before the strategy meeting ends. That's not a data problem. It's a synthesis problem that a purpose-built new product planning intelligence platform should solve automatically.
Pharma NPP Agentic Workflows
Finished Deliverables for Every New Product Planning Use Case
Indication Landscape
Patient Segmentation Model
Competitor Pipeline Tracker
Target Product Profile Benchmarking
Unmet Need Analysis
Evidence Gap Analysis
Conference Coverage
Ferma gave us a live indication landscape on day one of a new asset evaluation. What used to take three weeks of manual pulling came back structured, cited, and ready to pressure-test.
Associate Director
New Product Planning, Mid-size Pharma
Build Better Product Strategies. Start with Better Intelligence.
How is Ferma's indication landscape different from a GlobalData TA report?
GlobalData TA reports are periodic exports, updated quarterly at best and requiring manual interpretation before any strategy work can begin. Ferma's Landscape Assessment Agentic Workflow monitors the indication continuously and produces a finished, structured brief on demand, updated with the latest readouts, regulatory filings, and conference data. For pharma NPP teams, that means a live indication landscape instead of a static snapshot.
What Agentic Workflows are most relevant for NPP teams?
For pharma new product planning teams, the most relevant Agentic Workflows are: Indication Landscape, Patient Segmentation Model, Target Product Profile Benchmarking, Competitor Pipeline Tracker, Unmet Need Analysis, and Evidence Gap Analysis. All run within the same platform your CI and BD teams use, with conference coverage available as a native workflow for congress readout monitoring.
How does AI help with new product planning in pharma?
Ferma's pharma new product planning intelligence platform automates the most time-intensive parts of NPP work, building indication landscapes, mapping competitor pipelines, segmenting patient populations, and benchmarking target product profiles - and produces finished deliverables instead of raw data exports. NPP teams get a continuously updated picture of the indication without weekly manual reconciliation across databases, freeing the team to focus on strategy rather than assembly.
How is Ferma's indication landscape different from a Cortellis TA report?
Cortellis TA reports are structured datasets, your NPP team queries, exports, and manually builds the landscape from raw data. Cortellis also refreshes approximately 60% of its data annually, meaning a meaningful portion is stale at any point in a product planning cycle. Ferma's Indication Landscape Agentic Workflow produces a finished, continuously updated indication brief on demand - with every competitor asset, readout, and unmet need already structured and cited.
