Insights that TransformMarket Strategy
Your data shows what happened. We tell you why.
For brand and strategy leaders who can't afford to wait months for answers.
Your data shows what happened, not why.
Three problems persist when the "why" stays hidden.
Launches underperform. Adherence drops. KPIs unmet.
Launches underperform and you don't know why
By the time traditional research delivers, the window to act has closed. Active planning cycles don't wait for a quarterly research cycle.
Patient-centric initiatives have limited impact
Claims data tells you what happened. It never tells you why. The barrier-killing strategy is in the conversation, not in the data.
The 'why' stays hidden and costs you marketshare
The conversations shaping patient behavior are already happening. Non-adherence costs the industry billions. Most of it is preventable.
The cost of guessing is too high.
Bad intelligence is an industry-wide problem. Pharma, agencies, CROs, and consultants all pay for it in budget, time, and patient trust.
Fast. Rigorous. Actionable.
Delayed clarity compounds performance risk. Salura's Patient-Centric Intelligence (PCINT) turns real patient conversations into decision-ready insights in days. Human-led, AI-augmented. No setup, no data sharing required.
Speed
Days, Not Months
Delayed clarity compounds performance risk. Our advanced natural language analysis delivers what used to take 4 to 6 months, in days.
Scale
Thousands of Voices
More voices means fewer blind spots. We analyze population-scale conversations so you get the full picture, not a sample.
Depth
Beyond Sentiment Scores
We don't count mentions or score sentiment. We surface the ideas, barriers, and behaviors that actually shape what patients do next.
Patient Intelligence That
Powers Better Decisions
The conversations patients, providers, and caregivers have with each other reveal what surveys and data don't. Salura delivers population health and ethnographic insights from these conversations in days, at scale.
Human-Led, AI-Powered.
Our PCINT engine surfaces adoption and adherence barriers from real peer conversations, ranked by frequency and emotional intensity. Researchers review every finding before it reaches you.
Proprietary Patient Intelligence
Our partnerships across patient communities mean you skip the setup entirely. Structured, multi-voice insights in days. No negotiations, no delays.
Research-Grade Methodology
Epidemiological methods provide the multi-stakeholder, real-world grounding that makes high-visibility decisions defensible. Complementary to RCT data and HEOR studies, not a replacement for them.
Authentic Stakeholder Voices
We identify friction points, treatment burden, financial toxicity, and provider hesitation by analyzing what patients say to each other. Not what they say when they know they're being asked.
Population-Scale Qualitative Data
When prescriptions lag or market share misses, the question isn't what happened. It's why. We analyze thousands of real conversations to give you the context behind the numbers.
Rapid Delivery with Expert Support
Comprehensive insight reports arrive in days. Journey maps, adherence barriers, HCP strategies, payer stories. Ongoing monitoring keeps you ahead of shifts as they emerge.
Insights in Action
Real examples of how our insights drive better outcomes
GLP-1 Real-World Sustainability Gaps
The barrier to GLP-1 persistence isn’t clinical. It’s financial, and it’s creating a cycle of success, loss, and psychological distress that adherence metrics don’t capture.
Traditional Measures Miss Patients' Concerns Throughout the Breast Cancer Journey
More than 316,000 Americans are diagnosed with breast cancer each year. Standard clinical assessments track fear and mortality. They miss what patients are struggling with six months in: keeping their job, their home, and their financial stability.
Pharma Marketing Strategy Insights
A new medication exceeded clinical benchmarks but missed market projections in its first six months. Traditional focus groups hadn’t captured what patients were saying. Salura’s patient conversation analysis surfaced the decision-making patterns and education gaps that explained why.