Care
The clinical engine — assessment, scoring and monitoring clinicians use directly.
Assess · Stratify · Guide
Mental and brain illness are complex.
Symptoms overlap across conditions.
Polygenic and highly downstream.
Shaped by socio-economic environment.
So assessment must be dynamic —
built on multiple data streams,
continuously adapting as symptoms change.
We need it all — at one point.
That's why we built LifeBack®.
Translating precision in mental healthcare
Connected intelligence for brain and mental healthcare.
SIPL unifies clinical care, behavioural signals, neuroscience and genomics into one explainable AI system — learning from new data and adapting across populations.
GrantedIndian patent, PCT filed
91%HAM-D agreement, details
500+Hospital assessments
GCE-III₹50L+ equity-free fund support (BIRAC, DBT, BMGF)
Multi-siteClinical & institutional pilot partnerships
DPIITRecognised deep-tech startup
2018DBT–MoST Most Innovative Startup Award
About SIPL
Deep research, translated into clinical-grade AI.
Sequoia Insilico is a New Delhi-based BioAI company advancing mental and brain health. LifeBack®, our flagship, brings population-scale insight with individual precision at every stage of the treatment cycle—triage, point of care, prognosis, and risk assessment.
How SIPL works
One connected care continuum.
Care, Integration, and Discovery are connected capabilities in one clinical intelligence continuum — each informs the next and improves the whole loop.
Integration
Built into hospital workflows and records, so it runs inside existing practice.
Integrate · Monitor
Discovery
New findings from R&D and patient outcomes, validated and folded back into care.
Discover
Working together as one loop
Integrate
Bring in permitted data
Assess
Score clinical patterns
Stratify
Group by risk and response
Guide
Inform the clinician
Monitor
Track change over time
Discover
Feed the next study
Every outcome from Discover flows back into Integrate — so the system keeps getting smarter.
Science
Proven before it reaches a patient.
Every model is a hypothesis until the evidence says otherwise — and we publish the limits alongside the results.
Validation
91%agreement with clinician-rated HAM-D across 500+ assessments, validated with ABVIMS and Dr. RML Hospital, New Delhi.
Independent quality criteria
- Evidence-based
- Ethics
- Data quality
- Evaluation
- External test
Recognition
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₹50L+
Grand Challenges India (GCE-III)
Equity-free award from BIRAC, DBT and the Bill & Melinda Gates Foundation.
-
Award
Most Innovative Venture Award
Awarded by the Department of Biotechnology (DBT), Government of India.
-
Patent
Indian Patent No. 202511025669
Published. WIPO PCT application in process.
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DPIIT
Recognised deep-science startup
Government of India, Department for Promotion of Industry and Internal Trade.
BioAI for biopharma · Our horizon
The BioAI cornerstone for brain-health discovery.
The clinical intelligence we build for care today is laying the foundation for tomorrow's psychiatric research. These are the areas where SIPL and LifeBack® can help biopharma move faster — and where we're opening the conversation.
Stratification
Multilevel patient cohorts for enriched trials and better response outcomes.
Biomarkers
Potential clinically relevant biomarkers of disease state and treatment response, ready for prospective validation.
Pharmacogenomics In pipeline
Population-specific genetic markers of drug response and tolerability, starting with Indian cohorts.
Real-world evidence
Longitudinal outcomes from governed, consented clinical data.
Our precision framework
Precision has several dimensions.
Care is delivered to one patient — but it is only as precise as the foundations beneath it.
01
Diagnostic precision
What is really going on?
Reading overlapping disorders, comorbidities and trajectories together — not as isolated labels.
Comorbidity
Differential diagnosis
Trajectory
02
Population precision
Does it hold for this patient’s world?
Models built for the genetic, linguistic, cultural and socioeconomic reality they serve.
Genetics
Language
Culture
LifeBack®
Individual precision.
Multiple dimensions in one platform — so every insight translates into care made for one person.
LifeBack®
Built to deploy anywhere. Engineered for India first.
SIPL's flagship clinical-grade platform for brain and mental health — led by clinicians, not a self-serve app. Built with leading hospitals and clinical KOLs, it pairs demographically validated deep learning with patient-centred research and strong translational science.
- B2B & B2B2C
- White-label
- Hospitals
- Healthcare providers
- Corporates
- Institutions
Built for diversity
Adaptable globally.
- Use-case–specific small language model for India's diverse population
- SaaS, API-first — pilot in weeks, no IT change
- Production-ready; integrates with existing HIS/EMR
Across the patient journey
Risk → diagnosis → response → prognosis → remission → relapse.
- Clinical workflows, multimodal data and biological insight in one flow
- Adaptive evaluation, clinician-led planning, long-term surveillance
- Patient app links PROs to clinician dashboards between visits — relapse analytics for patients too
A collaboration platform
Backed by strong R&D and translational research.
- Hospitals, research institutions and biopharma in brain, mental health and precision medicine
- Co-creation, joint publications, co-hosted conferences, patent partnerships
- Licensing complementary IP to strengthen services like Data-as-a-Service (DaaS)
Let's build the future of brain and mental healthcare together.
Tell us your focus — hospital, research, genomics, biopharma, or investment — and we’ll connect you with the right team.
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The people
Meet the team.
Scientists, engineers, and clinicians working together to make brain and mental health measurable. Our work is grounded in research across bioinformatics, systems biology, and computational psychiatry.
Founders and team
The scientists, engineers, and company builders behind SIPL and LifeBack®.
Dr. Anupama Singh
Founder and CEOLeads SIPL's science and LifeBack®—bringing evidence-led precision to point-of-care decisions.
- PhD, Bioinformatics and Systems Biology, JNU
- CSIR-JRF
- National Talent Scholar
Dr. Harsh Bhasin
Co-founder, ML and AI LeadLeads SIPL's deep-learning and AI systems—turning complex clinical data into reliable, explainable models for brain and mental health.
- PhD, JNU
- Visvesvaraya Fellow
- ~40 publications
Tejwant Singh
Junior Data ScientistResearcher working across machine learning, affective computing, multimodal learning, and computational psychiatry.
Dr. Vishal Deshwal
MLOpsMachine-learning researcher and senior data scientist experienced in production AI, predictive modelling, and large-scale data systems.
Ankit Singh
AdministrationComputer science professional with experience in medical informatics, full-stack development, and responsible AI.
Saurabh Singh
Frontend Developer InternFull-stack developer and AWS Certified Solutions Architect contributing to SIPL's healthcare applications.
Aryan Jha
Frontend Developer InternFrontend developer and researcher interested in dependable AI and thoughtful, human-centred software systems.
Rakshita Makkar
Backend Developer InternComputer science graduate focused on machine learning, healthcare informatics, predictive analytics, and AI applications.
Shreya Marwaha
Backend Developer InternBackend developer experienced in enterprise APIs, scalable services, AI-powered integrations, and cloud applications.
Advisors
Experts who guide our science, clinical strategy, and growth.
Vijay Sardana
Legal AdvisorAdvocate guiding SIPL on law, policy and regulation.
- Law
- Policy
- Regulation
Sanjay Dongar Patil
Infrastructure & Strategic AdvisorUrban and environmental planner with 30+ years in large-scale infrastructure, statutory planning and policy, advising SIPL on infrastructure and strategy.
- Infrastructure
- Strategy
- Policy & governance
Clinical collaborators
Clinicians and scientists who help design, validate, and test our models in real hospital and laboratory settings.
Prof. R.P. Beniwal
ABVIMS and Dr. RML Hospital, New DelhiClinical collaborator on the LifeBack® validation study at ABVIMS and Dr. RML Hospital.
Dr. Qurratulain Hasan
SAAZ Genetics, HyderabadClinical genomics collaborator, supporting SIPL's genomics and pharmacogenomics work.
Work with us
A bridge for researchers, clinicians, engineers, and product builders who want to collaborate with SIPL.
We welcome collaboration across clinical research, computational psychiatry, engineering, and product. For current roles and open applications, visit Join Us.
See roles and applications →
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Investors and strategic partners
A specialised BioAI platform connecting care and discovery.
SIPL builds clinical-grade AI for brain and mental healthcare. Each validated model serves patients today and creates evidence for the next discovery.
GrantedIndian patent, PCT filed
91%HAM-D agreement
500+Hospital assessments
GCE-III₹50L+ fund support
Why SIPL
Four reasons the platform can compound in value over time.
Domain depth
A specialised focus on brain and mental health, grounded in the team's own research.
Multimodal context
Clinical, behavioural, biological, and longitudinal data in one record.
Ecosystem reach
B2B licensing, white-label deployment, and KOL co-branded programmes across care, research, and biopharma.
Responsible scale
Human oversight, validation, and transparent limitations built in from the start.
What is already in place
The protection, validation, and funding behind the platform.
| Intellectual property | Indian Patent No. 202511025669 — published (granted); corresponding WIPO PCT application under process. |
|---|---|
| Clinical validation | Clinical validation collaboration with ABVIMS and Dr. RML Hospital, New Delhi: 91% agreement with clinician-rated HAM-D across 500+ assessments. [Add metric type and sample size.] |
| Fund support | Equity-free Grand Challenges India (GCE-III) award — ₹50L+ — supported by BIRAC, DBT, and the Bill & Melinda Gates Foundation. Combined with founder bootstrapping, total investment in the company to date is ₹90L+, with no equity diluted. |
| Recognition | DPIIT-recognised deep-science MedTech startup. |
| Interoperability | Designed for the Indian health stack, with FHIR R4 support in development. |
Pipeline
Each line follows the same path: researched, validated, then deployed as a clinical-grade model.
- LifeBack® depression assessmentMultimodal assessment from voice, facial behaviour, and structured clinical interview. Ready for multi-location pilots.Validated, pilot-ready
- Longitudinal monitoringTracking change in severity and treatment response over time.In development
- Genomics and pharmacogenomics moduleGenetic markers of drug response and tolerability, linked to clinical context.In pipeline
- Neurocircuit biotype atlasBrain-circuit subtypes of depression to guide stratification and treatment.Research
Long-term aim
To redefine psychiatric diagnosis through a population-scale atlas of phenotypes, biotypes, and treatment outcomes. Every assessment adds to the evidence that improves the next.
Request investor access.
Our seed round is active. Contact us for the investor deck, financial model, and data-room access.
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Investors
Request investor access.
We share our full investor materials with investors and strategic partners on request. Email us with a few details and we will send you what you need.
What you will receive
The investor pack gives you the full picture behind the public overview.
Investor deck
Problem, platform, market, business model, team, and use of funds.
Financial model
Revenue assumptions, cost structure, and funding requirements.
Validation summary
Study design, metrics, and results from the ABVIMS and Dr. RML Hospital collaboration.
IP and funding documents
Patent grant, PCT filing, and the equity-free GCE-III award details.
Data room access
Company, legal, and compliance documents, shared after a non-disclosure agreement where needed.
Founder call
A conversation with the founders to discuss your questions and fit.
Share your investment interest
Tell us what you invest in, the stages you back, and why SIPL and LifeBack interest you.
What to expect
A simple process from first email to full access.
- 1. You submit an enquiryShare your investment focus and interests through the form above.Day 0
- 2. We replyWe confirm receipt and share the investor deck.[Within 3 working days]
- 3. NDA, if neededWe sign a non-disclosure agreement before sharing confidential documents.As needed
- 4. Data room and modelYou receive the financial model and data room access.After NDA
- 5. Founder callWe meet to answer your questions and discuss next steps.Scheduled together
Trust
Responsible by design.
AI supports the clinician. The clinician leads the care. Safeguards are built in from day one — not added later.
01
Honest science
We start with a question, not a dataset.
- Question firstEvery model begins with a clear, testable hypothesis.
- Ethically approvedStudies follow ICMR guidelines and ethics review.
- Open about limitsWe say where a model works — and where it doesn’t.
02
Protected data
Patient information is used only as agreed.
- Consent, alwaysData is used only for the purpose a patient agreed to.
- Right people onlyAccess is limited by role and every action is logged.
- DPDP Act, 2023Built to meet India’s data protection law.
03
Safe to use
Proven before it reaches a patient.
- Clinician decidesAI suggests; the clinician holds the final call.
- Medical-device readyFollowing CDSCO’s Software as a Medical Device path.
- Checked for lifeValidated before launch and monitored after.
Technology that earns trust — one validated step at a time.
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Contact
Let's talk.
Hospital, research, genomics, biopharma, investment, or a media enquiry — tell us your objective and we'll route you to the right person; we read every message and reply from New Delhi.
Reach us directly
General & partnerships
General and partnership enquiries
Hospitals, clinicians, research institutions, biopharma, and channel partners.
contact@sequoiainsilico.com Email usInvestors
Investors and strategic partners
Our seed round is active. Request the investor deck, financial model, and data-room access.
Request investor access
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Careers
Join us.
We're a small, research-led team building clinical-grade AI for brain and mental health — open roles and standing searches across our clinical and research side.
What we're searching for
Medical board and referral board
Experienced clinical psychologists, psychiatrists, and neurologists with 15+ years of experience.
Get in touch