Real Experiences, Real Impact
Share what you've lived through. Report what you see. Help change how healthcare listens.
The system is missing your voice
If you've ever felt dismissed by a doctor, waited years for a diagnosis, or experienced side effects that weren't in the brochure, your experience matters. Not just to you, but to researchers, doctors, and the patients who will come after you.
Right now, the healthcare system makes decisions based on incomplete information. Treatments are designed around clinical trial populations that don't represent you. Diagnostic criteria were written studying a narrow slice of humanity. Kalosum exists to bridge that gap.
What you can share
Symptom Journeys
What you experienced, when it started, how it evolved.
"I had recurring migraines, numbness in my hands, and crushing fatigue for three years before anyone considered MS."
Why this matters: When thousands of people share similar patterns, they reveal diagnostic blind spots that no single medical record can show.
Diagnostic Pathways
How long it took, which providers you saw, what misdiagnoses you received.
"Four GPs, two emergency visits, and a psychiatrist referral before someone finally ran the right blood panel. That was 6 years."
Why this matters: Mapping how people actually reach diagnosis, the detours and dead ends, helps identify where the system is failing and for whom.
Treatment Experiences
What worked, what didn't, side effects, reasons you stopped.
"The medication controlled my symptoms but the brain fog made it impossible to work. I had to choose between feeling well and functioning."
Why this matters: Real-world trade-offs between efficacy and quality of life are rarely captured in clinical trials, but they determine whether people actually stay on treatment.
Dismissal Documentation
Times you weren't believed and how it affected your care.
"My doctor told me it was anxiety. Two years later a different specialist found a tumour on my adrenal gland."
Why this matters: Systematic dismissal has measurable consequences: added years of delay, worse outcomes, and erosion of trust in the system.
Observations & Patterns
Healthcare inequities you notice in the real world, in the news, or in research.
"Heart attack campaigns still primarily show the 'clutching chest' symptom. Women's heart attacks often present as nausea, jaw pain, or fatigue."
Why this matters: Community observations surface gaps that formal research hasn’t addressed yet, and validate what patients already know.
Product & Wellness Experiences
Reactions to skincare, supplements, wellness products, or medical devices.
"This hydrating lotion cleared my eczema in two weeks, but my friend with similar skin type had a breakout from the same product."
Why this matters: Individual responses vary enormously. Aggregating these experiences reveals which products work for which people, and why.
Every narrative is processed and structured into a signal: a quantified, searchable analytic. One person's experience is a story. Thousands become a dataset that researchers and companies can act on.
How your narrative creates change
Your individual experience, combined with thousands of others, becomes the calibration layer that makes healthcare research more complete. Your pre-diagnostic symptoms teach models to spot conditions earlier. Your dismissal experiences reveal systemic patterns. Your treatment reality informs better prescribing. Your observations surface double standards that have been hiding in plain sight.
Trust & integrity
Every account is verified through a multi-step identity process to ensure real people are behind every narrative. Automated systems flag anomalous patterns, duplicate submissions, and coordinated behaviour. Community moderation and ML-based fraud detection work together to prevent spam accounts, data skewing, trolling, and targeted manipulation of product or treatment insights. The integrity of the dataset is what makes it valuable, and we treat protecting it as a core function of the application.
Your privacy is protected
We verify you're a real person to maintain data quality. But everyone else (doctors, researchers, companies) only sees an anonymous identifier. Your name and personal details are never shared.
De-identified
Automated removal of identifying information
Consent Control
Granular control over what you share and with whom
Audit Trail
Full transparency into who accesses aggregated data
Better Signals for Better Decisions
Healthcare infrastructure that captures real-world experience at scale and delivers structured insights for research, regulatory, and commercial teams.
Pharmaceutical & Biotech
Representation Audit
Score your trial design against demographic benchmarks. Get a scored remediation roadmap with specific recruitment targets.
Trial Optimizer
Real-time protocol scoring as you design. Diversity recommendations, endpoint suggestions, and inclusion criteria analysis.
Regulatory Accelerator
Auto-generate FDA diversity plan sections from Kalosum signals. Cut weeks off submission prep for Phase 3 readiness.
ML Pattern Detection
Surface adverse events, efficacy trends, and population-specific responses that traditional pharmacovigilance misses.
Endpoint Library
Pre-validated, patient-relevant outcomes indexed by condition, population, and life stage. Reduce endpoint mismatch risk.
Partner Testing
Have treatments assessed through real patient narratives at scale. Real-world evidence from diverse, verified populations.
Doctors & Clinicians
Doctors Who Listen
Get recognised by the patient community for genuinely hearing them. Highlighted on the platform as a trusted provider.
Pre-Diagnostic Patterns
See how conditions actually present in diverse populations, not just how textbooks describe them. Filter by ethnicity, sex, age.
Clinical Observations
Submit side effects you're seeing across patients, improvements worth noting, or questions that help patients open up. All processed into signals.
Treatment Analytics
Real-world outcomes stratified by demographics, life stage, and comorbidity. See what works for which populations beyond trial data.
Researchers & Academic Medical Centers
Cohort Analysis
Deep-dive into condition-specific patient populations. Identify gaps in representation and generate hypotheses from real narratives.
Publication Shield
Pre-submission representation check against NEJM, JAMA, and Lancet diversity standards. Catch gaps before reviewers do.
Community Collaboration
Post findings directly on Kalosum. Patients and clinicians engage through comments or DMs, creating a clinical-research feedback loop.
Structured Export
Filter by condition, demographic, or life stage. Export signals as structured datasets for analysis, publication, or grant applications.
Medical Device Companies
Partner Evaluation
Have devices assessed through verified patient and clinician narratives. Understand real-world usage beyond controlled testing environments.
Post-Market Surveillance
Continuous safety and usability signals from diverse user populations. Catch issues that clinical studies didn't surface.
Product Analytics
Efficacy and satisfaction trends segmented by demographics, use patterns, and comorbidities. Inform next-gen product design.
Contract Research Organizations
Single Integration
One connection gives you Kalosum signals across your entire client base. Offer representation-aware trial design as a differentiator.
Site Selector
Identify trial sites with access to underrepresented populations. Reduce screening failures and accelerate diverse enrollment.
Faster Enrollment
Cut enrollment timelines by targeting the right sites and populations from day one. Fewer delays, fewer protocol amendments.
Health Systems & Payers
Care Gap Analysis
Understand where patients are falling through the system. Signals reveal quality issues that satisfaction surveys miss.
Patient Narratives
Real stories structured into actionable signals for quality improvement, staff training, and institutional accountability.
Value-Based Evidence
Diverse patient outcomes for care programs. Demonstrate equity-aware performance to regulators and accreditation bodies.
How It Works
From unstructured patient experiences to structured, research-ready analytics.
Kalosum is cross-platform software that runs on mobile and web. Everyone, whether patient, clinician, researcher, or industry, accesses the same platform with role-specific dashboards tailored to their workflow.
The Process
1. Capture. Patients, clinicians, and researchers share experiences through our accessible interface: text, voice, or guided questions. We capture symptoms, diagnostic journeys, treatment outcomes, dismissals, and quality-of-life impacts.
2. Structure. Our proprietary analytics engine extracts meaningful patterns from unstructured input: identifying conditions, mapping timelines, flagging care gaps, and quantifying representation across demographics.
3. Deliver. Insights are surfaced through dashboards, structured exports, and integrations. Signals from patients, clinicians, researchers, and industry feed into a cross-communicative space where each group's input informs the others.
What Sets Kalosum Apart
Multi-Stakeholder
Built for patients, clinicians, researchers, and industry, not just one group. Every perspective strengthens the dataset.
Verified & Private
Real people, real experiences. Multi-step identity verification protects data integrity while automated de-identification protects privacy.
Compounding Value
More narratives improve pattern detection. Better patterns attract more users and enterprise customers. The dataset grows stronger over time.
Research-Ready Output
Structured analytics that integrate into existing clinical and regulatory workflows. Built to work with how organisations already operate.
Privacy & Security
Patient privacy is foundational. Automated de-identification, granular consent controls, role-based access, and full audit trails. Built to exceed HIPAA requirements. Every engagement improves our models, but no individual is ever identifiable.
Our Story
Why Kalosum exists and where we're headed.
Bhavya Chawdhary
Founder & CEO
Bhavya is a biomedical scientist with 5+ years of research experience and a specific focus on neuroscience. Her own journey with delayed diagnosis showed her firsthand how much of the patient experience gets lost within the healthcare system.
That gap between what patients live through and what the system captures became the foundation for Kalosum, named after the corpus callosum, the neural bridge that connects the two hemispheres of the brain. The same idea at a different scale: connecting the parts of healthcare that should already be talking to each other, patients, clinicians, researchers, and the industry building treatments for them.
bhavya@kalosum.com
The Vision
We're working toward a future where patient representation is built into every stage of healthcare research. Where regulatory filings include diversity audits as standard practice, and clinical studies are designed from the start to reflect the populations they serve. Kalosum exists to help make that future real, one insight, one study, one better outcome at a time.
Regulatory Mandate
The FDA's 2024 Diversity Action Plan requires sponsors to submit diversity plans before Phase 3 trials. This isn't guidance, it's a requirement. We build the tools to meet it.
Technological Capability
Advances in language processing and machine learning now make it possible to detect patterns at scale, analysing patient narratives, scoring trial designs, and quantifying representation gaps that were previously invisible.
Moral Imperative
Treatments optimized for some bodies fail others. Diseases present differently in populations never studied. Patients deserve research that actually sees them.
Market Inflection
Pharma companies face regulatory rejection, post-market failures, and reputational risk, but lack the tools to fix it. Kalosum bridges every gap.
Building the Team
We're building a founding team of people who care deeply about this problem. If you're passionate about fixing healthcare's blind spots and want to work on hard problems that matter, we'd love to hear from you.
