Care
Clinical assessment, structured information, and meaningful change over time.
Brain and mental health are complex.
Sequoia Insilico Pvt. Ltd. · BioAI for brain & mental health
Connected intelligence for brain and mental healthcare.
SIPL brings clinical care, behavioural signals, neuroscience, genomics, and discovery into a responsible research framework for brain and mental health.
91%
HAM-D agreement, reported
500+
hospital assessments
₹50L+
GCE-III grant support, reported
Granted
Indian patent · PCT filed
Company-reported milestones. Assessment agreement is not a claim of diagnostic accuracy; supporting methods and records should be reviewed during diligence.
About SIPL
Deep research, translated into clinical intelligence.
Sequoia Insilico is a deep-science BioAI company based in New Delhi. Our work draws on bioinformatics, systems biology, neuroscience, and computational psychiatry.
We are building toward a richer understanding of brain health by connecting phenotype, biology, clinical context, and outcomes over time.
The SIPL architecture
One connected loop across care, integration, and discovery.
Clinical work informs research. New evidence creates better questions for care and study.
Integration
Research and clinical information organised around real care and study workflows.
Discovery
Evidence from clinical practice and research informs the next set of questions.
A learning loop
Each stage informs the next.
01
Integrate
Bring permitted information into context.
02
Assess
Examine clinically relevant patterns.
03
Stratify
Explore meaningful patient groups.
04
Guide
Return useful context to professionals.
05
Monitor
Understand change over time.
06
Discover
Inform the next research question.
Science & evidence
Every model earns its place in care.
We treat each model and biomarker as a hypothesis to test. Evidence is examined alongside the intended use, the study context, and the limitations.
Reported clinical evaluation
91%agreement with clinician-rated HAM-D
Reported across 500+ assessments in a clinical validation collaboration with ABVIMS and Dr. RML Hospital, New Delhi. Agreement is not equivalent to diagnostic accuracy.
How we validate
Clinically grounded. Multimodal by design.
Literature groundingEthics reviewData qualityModel evaluationExternal validation
We aim to report performance with appropriate context, uncertainty, and limitations.
Intellectual property
Indian Patent No. 202511025669
WIPO PCT application in process, as reported by SIPL.
Research support
Grand Challenges India · GCE-III
₹50L+ equity-free support reported through BIRAC, DBT, and BMGF.
Recognition
Deep-tech startup
DPIIT recognition and a 2018 DBT–MoST award, as reported by SIPL.
Milestones are company-reported. Detailed methods, underlying records, and current IP status should be confirmed during diligence.
Evidence & IP detailsBioAI 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.
Discuss a research objectivePatient stratification
Explore clinically meaningful subgroups using behavioural, clinical, and biological context.
Digital biomarkers
Investigate repeatable behavioural measures and their relationship to clinical change.
Research direction
Pharmacogenomics
Research treatment response and tolerability in the context of individual biology.
Real-world evidence
Study longitudinal outcomes using appropriately governed clinical information.
Our precision framework
Precision care must be multidimensional.
Individual care depends on sound clinical interpretation and evidence that reflects the population it serves.
Understand the clinical picture.
Consider overlapping disorders, comorbidities, differential diagnoses, and disease trajectories rather than treating conditions as isolated labels.
Build for the people represented.
Evaluate relevance across demographic, genetic, linguistic, cultural, and socioeconomic diversity.
Who we work with
A collaboration platform for brain health.
Partnerships start with a clearly defined objective and an evidence pathway suited to the question.
Hospitals & health systems
Clinical workflows, research partnerships, and outcome measurement.
Clinicians & clinics
Evidence-informed tools that respect professional judgement.
Research institutions
Multimodal studies, validation, and scientific collaboration.
Biopharma & CROs
Patient stratification, trial design questions, and response research.
Genomics & diagnostics
Connect biological findings with phenotype and clinical context.
Implementation partners
Build practical pathways from research into real settings.
Responsible by design
Technology should help professionals see more clearly.
Clinical AI must be developed with clear purpose, careful handling of sensitive information, and accountability for how results are used.
Research ethos
Treat models as hypotheses. Evaluate evidence, uncertainty, and limitations.
Responsible data use
Use sensitive information with purpose, consent, and appropriate governance.
Human oversight
Keep qualified professionals responsible for interpretation and care.
Investors & strategic partners
A specialised BioAI platform connecting care and discovery.
SIPL is building at the intersection of brain health, multimodal research, genomics, clinical workflows, and biopharma.
Request an investor conversationWhat to include
Tell us what you are exploring.
- 01 Your organisation and area of interest
- 02 The research or investment question
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Supporting documentation is shared directly where appropriate. Please do not submit personal medical information through the contact form.
Dr. Anupama Singh
Clinical Research
Clinical researcher contributing domain expertise to SIPL’s responsible mental-health and clinical intelligence work.
Dr. Harsh Bhasin
Co-PI (ML Engineer)
Researcher and academic specializing in deep learning, algorithms, medical imaging, and computational mental health.
Tejwant Singh
Junior Data Scientist
Researcher and data scientist working across machine learning, affective computing, multimodal learning, and computational psychiatry.
Coming soon
Advisory Board
We are bringing together experienced voices across clinical care, neuroscience, genomics, and biopharma. More details will follow.
Let's talk
Shape the future of brain and mental healthcare with us.
For clinical, research, genomics, biopharma, or investment discussions, tell us your objective and we will route it to the right team.
New Delhi, India
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