How We Work

Fixed scope. Weekly demos. No surprises.

How we scope, price, and ship, plus the engineering practices every system we build actually runs on.

Engagement Models

Three ways to work with us

Launch Sprint

Starting from ₹60k

From ~$900

10 days

  • Landing page + waitlist
  • Analytics wired in
  • One AI feature demo
  • Validate before you build
Most Popular

Core MVP

Starting from ₹2.5L

From ~$3k

45 days

  • Web + mobile apps
  • Auth, payments, deploy
  • 1 to 2 AI features
  • Weekly Friday demos

Growth Retainer

Starting from ₹30k/month

From ~$450/month

Ongoing

  • Iterations and new features
  • Fixes and monitoring
  • Priority response
  • Keep shipping after launch

Fixed price. 50% advance to start. Final quote after a 20-minute scoping call.

Final quote depends on scope, integrations, AI complexity, and deployment requirements.

Built for Production

Engineering practices, not a pitch deck

Every system we ship carries the same production checklist, whether it's a 10-day sprint or a 45-day MVP.

Secure API ArchitectureAuthenticated, rate-limited API layers separating client, business logic, and data tiers.
Role-Based Access ControlScoped permissions per role (owner, manager, staff, patient, doctor), enforced server-side, not just in the UI.
Dockerized ServicesEvery system ships as containerized, multi-stage builds for consistent local, staging, and production environments.
Cloud DeploymentDeployed on managed cloud infrastructure (Cloud Run, containerized hosts), not a laptop demo, not a local script.
CI/CD PipelinesBuild, test, and deploy steps automated so releases are repeatable, not manual and error-prone.
Monitoring & LoggingRequest tracing, error logging, and audit trails so issues are caught and traced, not discovered by the client first.
Database & Vector DB SetupStructured databases (PostgreSQL, MongoDB) alongside vector stores for retrieval, scoped, indexed, and access-controlled.
Human Review CheckpointsAI output that affects real decisions (prescriptions, clinical notes, financial records) stays a draft until a person reviews it.
Fallback FlowsWhen an AI step fails or is uncertain, systems degrade to a manual path instead of silently breaking.
Data PrivacyClient data is scoped, access-controlled, and never used to train or improve systems for other clients without agreement.

We don't claim certifications we don't hold. No SOC 2, ISO, HIPAA, or uptime guarantees are stated here unless a specific engagement has been independently audited for them. These are the engineering practices every system is actually built with.