Product engineering
Web platforms, APIs, admin tools, and mobile, from architecture through release, with the same people who scoped the SOW.
See the practiceEngineering. Delivered.
Written SOWs, weekly demos, and full code ownership, from first release through AI, cloud, and platform work.
Many software pitches look finished in a slide. The cost shows up later as undocumented scope, a junior handoff, and IP that never quite lands in your repository.
Myrafy is a software company in Noida. We are not a staffing mill and not a global systems integrator. Senior engineers stay on the engagement. Scope, milestones, and ownership are written before we start, then we demo every week until the work ships.
Same company, different shapes of SOW. Pick the lane that matches how you buy engineering.
Web platforms, APIs, admin tools, and mobile, from architecture through release, with the same people who scoped the SOW.
See the practiceRetrieval, permissions, evaluations, and fallbacks are designed in before the first prompt. Assistants cite sources and stop when they cannot answer.
See the practiceBaselines, CI/CD, observability, and modernization that your team can operate, without a black-box cutover.
See the practiceNew work has to sit next to ERP, identity, data stores, and the team who will run it. We design for those constraints instead of pretending they are a later phase.
Fixed-scope MVPs and longer AI or cloud partnerships are different paperwork. We say which path you are on, what it costs, and who is on the work, in writing.
End-to-end engineering for product teams and platform organizations, from first release to AI, cloud, and modernization work.
Assistants, automations, and the work of running them
See the practiceWeb platforms, APIs, and admin tools
A baseline, a pipeline, and something watching it
Phased cutovers, not a weekend rewrite
Phone, web, and the API underneath
APIs, sync jobs, and a place for failures to land
Domain-aware engineering for regulated and high-stakes products. We serve these sectors; we do not run those businesses.
Trading platforms, compliance systems, payment infrastructure
HIPAA-minded apps, patient portals, clinical data systems
Multi-tenant platforms, API products, developer tools
High-traffic storefronts, inventory systems, fulfillment automation
IoT integration, supply chain visibility, ERP modernization
Secure portals, citizen services, legacy system modernization
MVP delivery and enterprise AI/cloud partnerships are scoped differently. Pick the lane that matches how you buy engineering.
Fixed-scope delivery when you need a credible first release - clear milestones, honest estimates, and senior engineers on the work.
Longer engagements for RAG/AI features, cloud baselines, modernization, and embedded senior capacity - scoped as retainers or dedicated team extensions.
Discovery through launch, with written milestones. Models, SOW contents, and FAQ live on Work.
Deep-dive into business objectives, technical constraints, and success metrics to define a clear roadmap.
Solution architecture, technology selection, and detailed specifications aligned with enterprise standards.
Iterative delivery with sprint reviews, continuous integration, and transparent progress reporting.
Automated testing, security audits, performance benchmarking, and compliance validation.
Production rollout, monitoring setup, knowledge transfer, and ongoing maintenance partnerships.
Illustrative delivery patterns, labeled clearly until named client case studies are published.
Phased cutover for stacks that still have to take traffic: observability first, careful data moves, and cost you can actually read - the playbook when uptime and change risk both matter.
How we scope early products: storefront, inventory, orders, and admin - weekly demos, a written SOW, and full IP in your repository when the milestone closes.
Assistants with permission-aware retrieval, citations, and logging you can audit - the constraints designed in before the first prompt ships. Not a chatbot demo on a folder.
Honest differences versus a large SI and versus junior-staffed vendors.
Practical writing on cloud, APIs, AI systems, and shipping products that hold up in production.

After the first SOW, three shapes: a scoped project, a monthly retainer, or a team extension. When each fits, what to put in writing, and what to refuse.

Do not put a public bucket in front of users. Content types, size limits, virus scanning, and signed URLs - the upload path we use in production.

Indexes are not a checklist. Use EXPLAIN, pick btree vs gin for the predicates you actually run, and skip the covering index folklore startups copy from Twitter.
Tell us what you are building. We typically reply within one business day with honest advice and a scoped proposal if it is a fit.
Contact us