24h
Written quote
50+
Projects our team has delivered
5+
Countries Served
40+
SaaS Products Shipped
Building successful software products requires a reliable foundation designed for data isolation, cloud flexibility, and billing transparency. We compile optimized TypeScript code on stateless node clusters, isolating database nodes beautifully.
Row-level database security ensuring absolute customer privacy.
Auto-scaling cloud configurations utilizing AWS and secure Docker boxes.
Clean schemas and robust caching pools engineered for sub-second sync.
Secure enterprise SSO integrations via standard SAML and OAuth2.
"Product engineering is the ultimate way to create enterprise value. We build high-speed backend platforms and beautiful frontends that allow startups to capture major markets with confidence."
Tailored custom software and SaaS platform features designed to deliver long-term speed and scale.
Focused functional builds engineered to satisfy investors, test features, and secure product market validation.
Stateless Node/Go APIs, containerized Docker systems, and auto-scaling AWS network clusters.
Central database configurations using strict Row-Level Security (RLS) or separate database segments per tenant.
Robust automation pipelines running security checks and deploying updates with zero service downtime.
Bespoke roadmap scoping, technical audit reports, and cloud cost-containment architectures.
Securing platforms via multi-factor authentication, OAuth2, and corporate SSO (Okta/SAML) integrations.
A merchant loyalty system needed to process thousands of transactions per second, syncing reward points and coupons dynamically without locking the central database nodes.
We architected a cloud-native platform on AWS utilizing Node.js, pgvector, and Redis cache pools. We built separate secure schemas per merchant for clean multi-tenant isolation.
Achieved sub-200ms API response timelines and processed millions of operations daily while maintaining 100% database synchronization and zero reporting errors.
Select the engagement that fits your operational speed, scope details, and scaling target.
Perfect for custom SaaS app MVP development with structured milestones and timelines.
A rigorous, four-step engineering process designed to deploy scalable global platforms.
We establish database models, define user persona paths, draft API integrations, and outline billing limits.
We design user flows, configure interactive mockups, and run rigorous UX compliance checks.
Our product team writes stateless code in continuous sprints, testing concurrency volumes and session logs.
Rigorous QA and load-testing audits are completed followed by a managed launch on AWS/Vercel edges.
We use standard, stable, and highly performant technologies.
Backend Engines
Frontend Interfaces
Data Caches
Ops & Hosting
Standard outsourcing is task-focused, where you deliver specifications and developers write code without product feedback. Product engineering is product-first: we act as collaborative partners, focusing on system architecture, database scalability, multi-tenancy, user retention UX, and future roadmap planning. We help you build a technical asset rather than just ticking feature checkboxes.
A SaaS product MVP with secure authentication, Stripe billing, and core operations tables is ₹6–12 lakhs over 10–14 weeks. An enterprise-grade platform is ₹15–30 lakhs and 16 to 24 weeks of sprints. Those are fixed-price project figures; if you would rather fund a standing team, the retainer model on this page is usually the better fit once the roadmap runs past the first release.
We perform a systematic, zero-downtime modernization. We audit the database structure and business logic, migrate legacy data cleanly, re-architect the backend into high-speed APIs (NodeJS/Go), and compile a beautiful frontend (NextJS). We use feature flags to transition active tenants slowly and safely.
We leverage cloud-native architectures. We implement stateless API instances, auto-scaling cloud clusters, global CDN caches, distributed Redis query caches, and highly optimized PostgreSQL databases with database replicas to handle read/write loads cleanly under sub-second latency thresholds.
We build secure-by-design systems. We construct systems ready for SOC2 and ISO 27001 criteria, enforcing strict Row-Level Security (RLS) within multi-tenant databases, AES-256 local database encryption, SSL pinning, secure Keychains, and strict role-based access controls (RBAC).
Yes, 100%. Upon project completion and final sprint clearance, you receive full intellectual property (IP) and absolute source code ownership of the entire Git repository. There are no vendor lock-ins, residual royalties, or recurring licensing fees from our side.
We provide 30 days of free support post-launch for immediate bug fixes. We also offer monthly SLA maintenance retainers that cover 24/7 server monitoring, mandatory annual iOS/Android OS updates, map API upgrades, cloud security patch distributions, and database backup routines.
Yes, absolutely. We support co-development and team augmentation models. Our senior developers, designers, and scrum masters can integrate directly into your active Slack channels and Jira boards, helping your in-house team accelerate sprint speeds seamlessly.
Software product engineering services cover the full lifecycle from architecture to production: product design, engineering, QA, DevOps, and ongoing platform evolution — not just one-off feature builds. This engagement model suits ISVs (Independent Software Vendors), SaaS companies, and funded startups that need a dedicated team acting as their engineering department, not a project-based vendor. A dedicated software product engineering team in India costs ₹3–₹15 lakh/month depending on team size and seniority — a typical 4-person team (1 tech lead + 2 engineers + 1 QA) runs ₹4–₹6 lakh/month. The key difference from fixed-price project development: you pay for capacity and velocity, not deliverables — this is the right model when your requirements evolve continuously.
Software product engineering team cost in India — a 3-person team (tech lead + 2 engineers) costs ₹3–₹5 lakh/month; a 6-person team (tech lead + 4 engineers + 1 QA) costs ₹6–₹10 lakh/month
Source: Clutch: Software Development Pricing Guide 2026Read our analysis →Onboarding timeline for a dedicated software product engineering team — codebase review, architecture alignment, sprint setup, and first productive sprint delivery typically achieved within 2–4 weeks of engagement start
Source: Clutch: Mobile App Development Timeline Guide 2026Read our analysis →| Factor | Product Engineering (dedicated team) | Fixed-Price Project (deliverable-based) |
|---|---|---|
| Best for | SaaS products, ISVs, funded startups with evolving requirements and ongoing development needs | Well-defined one-time builds — a specific feature, migration, or integration with clear scope and acceptance criteria |
| Cost structure | Monthly retainer (₹3–₹15 lakh/month) — predictable, scales with team size | One-time project price (₹2–₹50 lakh) — fixed scope, fixed budget, scope changes trigger change orders |
| Requirement flexibility | High — sprint backlog reprioritised every 2 weeks based on user feedback and business needs | Low — changes to scope after contract signing add cost and timeline |
| Team continuity | Same team builds institutional knowledge of your product over months and years | Team disbands after delivery — knowledge transfer risk on every new project |
| Minimum engagement | Typically 3–6 month minimum for team onboarding to deliver value | No minimum — suitable for 2–10 week builds |
Software product engineering is not a project — it is an ongoing discipline. ISVs and SaaS companies that treat engineering as a one-time project spend 3× more on rework than those that maintain a continuous delivery team with a shared understanding of the product.