Services
What we do, and what proves it.
Six lines. Each one names the shipped systems behind it.
E-commerce and marketplaces
Managed storefronts through to multi-vendor platforms with escrow.
4 case studies →Mobile apps
Cross-platform apps that hold up offline, on the warehouse floor.
2 case studies →Business systems: auth, billing, back-office
The unglamorous software a company actually runs on.
2 case studies →AI-powered automation and content
AI wired into operational workflows, not demos.
3 case studies →Correctness-critical engines
For logic that has to be provably right, not roughly right.
3 case studies →Production infrastructure and DevOps
Deployed cheaply, monitored properly, mostly on self-hosted or free-tier infrastructure.
5 case studies →E-commerce and marketplaces
- 01Managed platform builds: themes, collections, metafields, batch admin-API operations.
- 02Custom commerce without a heavy backend: client-side cart, serverless checkout, no processor lock-in.
- 03Multi-vendor marketplaces: onboarding, KYC, fraud review, escrow, split payouts.
Mobile apps
- 01Offline-first sync: local database, background sync, idempotent batch APIs.
- 02Device features: camera capture, OCR serial reading, EXIF stripping, watermarking.
- 03Shared auth and typed contracts across a fleet of apps on one backend.
Business systems: auth, billing, back-office
- 01Auth: JWT, role separation, rate limiting, secure admin sessions.
- 02Lifecycle systems: intake to handoff, PDF job cards, audit trails.
- 03India GST billing: B2C and B2B, multi-rate lines, GSTR-1 exports, TDS register, payments ledger.
AI-powered automation and content
- 01Vision models for intake: catalogue data straight from product photos.
- 02Generative media at batch scale: masking, photo editing, video from stills.
- 03LLM copywriting in the pipeline: narration and captions written at publish time.
- 04Hands-off social pipelines: scheduled multi-format posting, run on CI.
Correctness-critical engines
- 01Verifiable draws: deterministic Fisher-Yates, announced seed, one-shot irreversibility enforced at the database.
- 02Commerce state machines: dozens of transitions, escrow and white-glove paths on one engine.
- 03Pricing engines: multi-source market data, multipliers for condition, rarity, origin.
Production infrastructure and DevOps
- 01Self-hosted stacks: Docker Compose, automatic HTTPS, S3-compatible storage, backups.
- 02CI/CD as the runtime: builds, content workflows, rolling deploys.
- 03Operations: health monitoring, error tracking, runbooks, role-based admin so owners can run it without us.
How we engage
Four shapes. Most engagements land in the first two.
Build and handover
Built to production, documented, handed to an owner who can run it day to day.
Retainer, fractional CTO
We own the engineering over time: roadmap, builds, infrastructure, and on-call.
Productized
Fixed scope, fixed price, known shape: a storefront, a pipeline, a billing module.
Consulting
Architecture, stack selection, and review before you commit.
Built for India, and beyond
The India-specific rails most studios skip are already shipped and running here. The same systems sit on international-standard stacks, so they serve startups outside India just as well.
- GST invoicing with GSTR-1 and TDS reporting, running in production.
- Razorpay Route split payments, INR escrow, MSG91 DLT messaging.
- DPDP Act scaffolding: consent flows and account-deletion queues.
Not sure which shape fits?
Tell us the problem, not the solution. We will tell you plainly how we would approach it.