END-TO-END OWNERSHIP · FOR FOUNDERS WITHOUT A CTO
Most engineering services are coding-as-a-service: you bring the spec, they bring the typists. Product engineering is different. We own the product end-to-end — discovery, design, architecture, build, launch, post-launch evolution — the full delivery surface that founders without a CTO usually have to hire 5+ people to cover. hundreds of projects shipped across 4 verified verticals: central-bank legal systems, multi-tenant SaaS for EU enterprise, marketplace mobile apps at 500K+ daily scale, and HIPAA-architected healthcare. The team that ships your product is the team that stays on it.
48-hour response · NDA on request · Your first call is with an engineer, not a sales rep
THE PROBLEM
Founders without a technical co-founder face a structural problem: the work of getting a product to market isn’t one job. It’s product strategy, UX design, architecture, multi-platform engineering, QA, deploy infrastructure, launch instrumentation, post-launch product evolution. Hiring six specialists to cover each is six months of recruiting, $1.5M+ of fully-loaded annual cost, and management overhead the founder doesn’t have time for. So they hire an agency.
The standard agency engagement gives them coding-as-a-service: the founder writes the spec, the agency types it up, and at the end of the engagement the product exists but nobody owns it. Decisions like “is this the right onboarding flow?” or “does this billing model actually fit the customer journey?” get pushed back to the founder, who isn’t qualified to make them and didn’t hire the agency to make them either. The product ships. Adoption stalls. Six months later the founder is on the market for a different team.
Product engineering is different. We own the full delivery surface — not just the implementation. We weigh in on the onboarding flow because we’ve been shipping them since 2010. We pick the billing model with you because we know which ones survive year two. We instrument launch so we can actually see whether the product is working. The engineer-team-as-product-team model is the only model that gets a founder from idea to product-market fit without burning six months on the wrong build.
OUR APPROACH
The first product question isn’t “what features?’ — it’s “who is this for and what’s the wedge?” We map your target user, the wedge use case, the competitive landscape, the regulatory environment, and the business model. We push back when the spec is too large for the time budget (most are). Deliverable: written product spec, design brief, technical architecture sketch, launch metric definitions, and a fixed-price quote for the build.
UX flows and visual design (high-fidelity Figma) plus the technical architecture, in parallel because they inform each other. We pick the platform mix (web vs mobile vs both), the data model, the auth + billing approach, the third-party integrations, and the hosting strategy. Deliverable: clickable Figma prototype, architecture document, integrations plan, sprint plan for the MVP build.
Two-week sprints with end-of-sprint demos on staging using real users for testing where possible. We ship the conversion-critical flow first (sign-up, first key action), the operational backbone second, the “nice-to-have” polish third — in that order because the order matters when you’re racing to product-market fit. Launch instrumentation in from sprint one so you can see what’s working from day-one of beta.
Post-launch, the team stays on the product. Feature iterations based on user behaviour data. Performance work as load grows. New-tier or new-platform rollouts. Bug triage. The engineer-team-as-product-team model continues — you don’t have to re-onboard a new vendor every time you want to ship something. Most of our long-term clients (DiNePa 5+ years, NRB 5+ years, Upkeep.pro live) are on this model.
CAPABILITIES WE COVER
What founders usually hire six specialists for, we cover with one in-house team. The handoffs between these capabilities are where most products fail; we don’t have those handoffs.
What it does: Target user definition, wedge use case, competitive landscape, business model selection, launch metric definition. The 2–3 weeks before any code is written that decides whether the next 6 months are worth the investment.
Output: Written product spec, design brief, architecture sketch, fixed-price build quote.
What it does: High-fidelity Figma flows, design system, marketing surface design. Clickable prototype before any code is written so you can validate the flow with real users, not your imagination.
Stack: Figma for design, in-house design system for production handoff.
What it does: Web (React/Vue + Node/Laravel), native mobile (iOS Swift, Android Kotlin) or cross-platform (Flutter / React Native), back-end APIs, AI/ML where the use case justifies it — all picked per project, all delivered by the same in-house team. No handoffs between “web team” and “mobile team” because there’s one team.
Reference: hundreds of projects across web, mobile, AI, SaaS.
What it does: Automated unit, integration, and end-to-end test suites built alongside the feature (not after). Manual exploratory testing of conversion-critical flows on real devices. Pre-production load testing for systems that need to handle real traffic at launch.
Standards: Test coverage for high-stakes flows is non-negotiable. We build the suite; you inherit it.
What it does: Analytics (Mixpanel, PostHog, Amplitude), conversion tracking, A/B testing infrastructure, funnel dashboards, retention cohort tracking — instrumented before launch so you can see what’s working from day one. Launch metric definitions documented in discovery.
Output: A dashboard the founder can read without a data analyst.
What it does: The same team stays on the product post-launch. Feature iterations based on user behaviour data, performance work as load grows, new-tier rollouts, security patches, third-party SDK migrations. Most of our long-term clients are on this model.
References: DiNePa (5+ years), NRB (5+ years), Upkeep.pro (multi-year), AI Home Care SaaS (active build).
PROOF
Built end-to-end for Nepal’s central bank: 24-week build with a 6-person team, deployed to isolated intranet, live in production for 5+ years. Maker-checker workflow, bilingual English/Nepali Unicode, immutable audit logs, 70% faster case resolution, 5× operational capacity expansion. Read NRB case study →
End-to-end product for European enterprise procurement: discovery through multi-tenant SaaS architecture through 12-month production build through 5+ years of post-launch support. 99.4% uptime, sub-500ms real-time bid recalculation, 4 isolated portals, multi-language across English/German/Spanish/French. Read DiNePa case study →
Dual-sided service-booking marketplace built end-to-end: discovery through native iOS + Android + web product through ongoing OS-upgrade work. 500,000+ daily appointments booked at scale, 10,000+ professionals worldwide, 37% reported provider income growth. Read Upkeep case study →
End-to-end build for a US healthcare operator under NDA: discovery through HIPAA-architected 3-module SaaS through Flutter caregiver app with biometric EVV through 6 embedded AI capabilities. In production-ready development. Read the case study →
The common thread: same team, same engineering discipline, end-to-end ownership across four verticals as different as central banking and consumer marketplaces. The team isn’t the differentiator for one vertical — it’s the model.
TECH STACK
HOW WE ENGAGE
2–3 weeks · fixed fee
Best when you have an idea but no spec, design, or architecture. We define the wedge use case, the target user, the business model, the launch metrics. Deliverable: written product spec, clickable Figma prototype (or design brief), architecture sketch, fixed-price quote for the MVP build.
3–9 months · fixed price
Best when you’re ready to ship and need the full delivery team. Design, engineering (web/mobile/back-end), QA, deploy infrastructure, launch instrumentation — all under one engagement with one project lead. Two-week sprints, end-of-sprint demos on staging.
Monthly · time-and-materials
Best post-launch. The same team stays on the product. Feature iterations based on user data, performance work as load grows, new-tier rollouts, ongoing platform maintenance. DiNePa, NRB, and Upkeep.pro are all on this model multi-year.
Standard contracts: MSA + SOW on request. Mutual NDA before discovery. Source code, design files, and analytics dashboards all transfer to you on final payment. Source code escrow available for enterprise engagements.
QUESTIONS
A regular dev agency takes your spec and types it up. Product engineering owns the full delivery surface: product strategy, UX design, architecture, multi-platform engineering, QA, launch instrumentation, post-launch evolution. We weigh in on the decisions that determine whether your product actually works — not just whether the code compiles.
We do design in-house. UX flows, high-fidelity Figma prototypes, design systems, marketing surface design. We can also work with a designer you bring — that’s fine too. But if you don’t have one, we’ve got you covered end-to-end.
Dedicated. The engineer-team-as-product-team model is the only model that works for end-to-end ownership. The engineer you meet in discovery is the engineer who ships your code. We don’t rotate junior staff onto your project after the contract signs.
You do. We bring opinions, recommendations, and the experience of having shipped hundreds of projects — but the roadmap is yours. We’ll push back when we think you’re heading in the wrong direction (and explain why), and we’ll defer when the call is a judgement call only you can make.
Yes — it’s actually our sweet spot. Web admin + native iOS + native Android + back-end APIs + analytics dashboards under one engagement, one team, one project lead. The Adult Home Care SaaS engagement has 3 modules (Super Admin web + Agency Dashboard web + Flutter mobile) running in parallel.
2–3 weeks discovery, then 3–9 months for the MVP build, then ongoing retainer. Simple consumer SaaS with web-only: closer to 3 months. Multi-platform marketplace with payment integration, analytics dashboards, and back-end APIs: closer to 9.
Pricing: fixed-fee discovery, fixed-price MVP build, time-and-materials retainer post-launch. We quote firm numbers after a 30-minute discovery call. Product engineering engagements are typically larger than single-discipline engagements because the scope is wider — you’re paying for the full delivery surface in one team.
We’re listed on Capterra at 4.8★ across 25 verified client reviews — with verified reviewers across real estate, automotive, sports, non-profit, marketing, and auction industries. Read the reviews on Capterra →
Same team. Same discipline. Discovery, design, engineering, QA, launch, evolution — the full delivery surface under one engagement, one project lead, zero handoffs.
Founder without a CTO? +977 9851038796 — Roshan Subedi, Founder & MD · product calls reviewed directly