In healthcare, the most valuable competitive signals live in public.
What patients say, what competitors do, what AI assistants tell your stakeholders. Starling reads it and answers your team's questions.
Public intelligence for life sciences. Since 2011.What is public intelligence?
What patients say
Experiences, fears and the words patients use. The fastest-moving signal, and the one most programmes miss.
What competitors do
Launches, partnerships, congress moves, hiring. Each leaves a public trace before it shows in sales.
What AI tells your stakeholders
Which brands ChatGPT, Gemini and Google's AI name when a patient, a clinician or a payer asks, and which sources they cite.
Selected Work
Competitive monitoring in reproductive medicine
Challenge
A consultancy needed competitive monitoring across six companies on three continents, including Japan.
Result
It now offers its clients digital intelligence without hiring analysts or licensing platforms. Japanese sources surface market moves weeks before English coverage.
A yearly benchmark of pharma on social media
Challenge
Pharmaceutical companies wanted to compare their social media presence with their peers' on evidence, not impressions.
Result
An annual benchmark of 28 companies and a million classified posts, bought by two of the ten largest pharmaceutical companies.
Building a pharma social analytics platform
Challenge
No off-the-shelf tool could tell physicians from patients, sort conversations by therapy area, or map influence across languages.
Result
Our own platform, serving pharma clients in oncology, neuroscience and rare disease for five years. Its methods still shape how Starling classifies posts.
Patient perspectives across the US, Europe and Japan
Challenge
A global pharmaceutical company needed to know how patients with a chronic skin condition find information and make treatment decisions in each market.
Result
Gaps in patients' information pathways that shaped the company's engagement strategy, with findings structured for potential regulatory use.
What AI assistants tell patients about a therapy area
Challenge
A brand team wanted to know which products AI assistants name when patients ask about their condition, and which sources they trust.
Result
A monthly baseline the brand can move, and the list of sources the engines cite, which is where visibility is earned.
Two founders. No hand-offs.
Swiss-based, founded 2011. We built our own healthcare analytics platform and have worked through every generation since: keyword monitoring, language processing, now AI.
Nina runs the business side of Starling: client relationships, commercial terms and delivery. She leads capability building and Japan coverage, reading Japanese sources in Japanese. U.S. CMA, ICF-accredited coach, global board member of the Institute of Management Accountants.
Kevin leads Starling's analytics and the technology behind it: 15 years building healthcare social listening platforms and AI monitoring, and running competitive intelligence for pharma.
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Starling GmbH
Zurich, Switzerland
One of us reads this and replies, not a form letter.