Healthcare & AYUSH, carefully engineered.
Deterministic screening AI you can defend, data-quality and scheme-delivery systems for public health, and pharma brand-and-web that clears the compliance bar. Health work is judged on accuracy, fairness and accountability — a tool that can't explain a decision, a scheme that leaks because the data is dirty, a brand that trips a compliance line are real risks, not rounding errors. We build careful software for a careful field. ⚕️
In healthcare, "roughly right" isn't good enough.
A screening tool that can't explain itself, a scheme that leaks on dirty data, a pharma brand that crosses a compliance line — each is a real risk. We build deterministic, explainable systems and brand work that respects the rules.
Screening is subjective and slow
Ideas, applications or cases are judged inconsistently by different reviewers, with no repeatable standard and no audit trail.
Scheme data is dirty
Duplicate, incomplete or mismatched records mean benefits leak, eligibility is wrong, and reporting can't be trusted.
DBT and empanelment move too slowly
Direct benefit transfers and provider empanelment stall in manual queues; turnaround time is the complaint.
AYUSH adherence is hard to track
Patients drop off treatment and there's no system-level view of who's adhering and who isn't.
Health brands walk a compliance line
Pharma marketing that's too loud invites trouble; too quiet and no one trusts the product.
Careful software for a field that has to be careful.
Deterministic screening, public-health data systems, document AI and compliance-aware pharma brand-and-web from one team.
Deterministic by default. Same input, same output.
We understand public-health plumbing — data quality, DBT, empanelment and adherence are the real bottlenecks, and that's what our systems target. Every AI decision shows its reasoning, the only kind that survives a clinical or audit review.
MVP-first, department-friendly. Prove value in Phase 1 on modest budgets, with infrastructure you procure — not a moon-shot you can't sign off.
Screening that gives the same score every time.
Subjective, slow review is the complaint we hear most in health and biotech assessment. We replace it with a repeatable 0–100 score, hard eligibility gates and a reasoning panel that shows exactly how the number was reached — so a reviewer, an auditor and an applicant all see the same logic.
- Deterministic 0–100 scoring — same input, same output
- Hard gates for eligibility and safety thresholds
- Visible reasoning that survives a clinical or audit review
The plumbing behind a scheme that actually reaches people.
Benefits leak when the data is dirty and turnaround stalls in manual queues. Our PMJAY and AYUSH proposals target the real bottlenecks — data-quality cleanup, faster DBT, quicker empanelment turnaround and treatment-adherence tracking — each scoped as a Phase-1 MVP on a modest budget, with infrastructure the department procures.
- Data-quality cleanup and record de-duplication
- Faster direct benefit transfer (DBT) and empanelment TAT
- AYUSH treatment-adherence tracking at system level
Deterministic screening & scoring AI
We built SSIP / Shreya, a healthcare idea-screening AI with deterministic scoring — a repeatable 0–100 assessment with hard gates, so the same submission always scores the same and the reasoning is visible. It replaces subjective, slow review with a fair, auditable standard.
Public-health data & scheme systems
Our PMJAY & AYUSH AI proposals target the real gaps: data-quality cleanup, faster DBT (direct benefit transfer), quicker empanelment turnaround, and AYUSH treatment-adherence tracking. Each is a Phase-1 MVP scoped to prove value before scale, with the infrastructure procured by the department.
Pharma & health brand + web
We built the Honest Pharma brand and web — identity and a website that reads as credible and clears the compliance bar for a pharma company. Careful claims, clean design, real trust.
Document AI for medical records
OCR and document AI to structure prescriptions, forms and records so they're searchable and auditable — the base layer that makes everything above it reliable.
Defensible systems for health.
SSIP / Shreya
Deterministic 0–100 scoring with hard gates for health and biotech ideas.
PMJAY & AYUSH AI
Data quality, DBT, empanelment TAT and adherence — four Phase-1 MVPs.
Honest Pharma
Credible identity and website that clears the pharma compliance bar.
Deterministic by default — same input, same output, reasoning shown. The only kind of AI that survives a clinical or audit review.
Defensible decisions, cleaner delivery.
Health software earns its place when a decision can be explained, a scheme reaches the right people, and a brand stays inside the line. That is what our systems are built to deliver.
Careful software, for a careful field.
Deterministic by default
Same input, same output, reasoning shown — the only kind of AI that survives a clinical or audit review.
We understand public-health plumbing
Data quality, DBT, empanelment and adherence are the real bottlenecks, and that's what our proposals target.
Compliance-aware brand work
Pharma and AYUSH marketing that's credible without crossing a line — clear claims, clean design, real trust.
MVP-first, department-friendly
Prove value in Phase 1 on modest budgets, with infrastructure you procure — not a moon-shot you can't sign off.
Score. Reason. Defend.
Deterministic screening, cleaner scheme data and compliant health brands — from one team that treats accuracy as the baseline.
Healthcare & AYUSH, answered.
Is AI reliable enough to screen healthcare applications?
Can you help improve PMJAY or scheme data quality?
Do you build pharma websites that stay compliant?
Can you structure prescriptions and medical forms with OCR?
Why start with a Phase-1 MVP?
Tell us the problem. We'll scope a defensible Phase-1.
Screening, scheme data or a compliant pharma brand — start the conversation. Or explore every industry we serve, and siblings Government and Professional Services.