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SaaS & Product Engineering

From MVP to a product that scales, with one team that owns the outcome.

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Overview

We take products from idea to market and keep them healthy afterwards. One team covers discovery, UX, web and mobile development, AI features, releases and maintenance. We build with modern, well-supported stacks (TypeScript, React and Next.js, Astro, Node.js, Python, Flutter and React Native) and we use AI-assisted engineering to ship faster without cutting quality.

Challenges we solve

  • Roadmaps driven by opinions rather than evidence
  • MVPs that cannot grow into a real product
  • Mounting technical debt that slows every release
  • No dedicated team to maintain the product after launch

What we deliver

SaaS & Product Engineering capabilities

Product discovery and MVP

Problem validation, prototypes and a focused MVP that tests the riskiest assumptions first.

Full-stack web and mobile

Fast, accessible web apps and cross-platform mobile apps with clean APIs and automated tests.

Multi-tenant SaaS foundations

Auth, roles, billing, tenant isolation, audit logs and admin tools done right from the start.

AI features in your product

Copilots, smart search, summaries and automation added where they improve the product.

Maintenance and support

Security updates, dependency upgrades, bug fixes and performance work on a predictable monthly plan.

Process

How we work

  1. 01

    Discover

    Users, problems, metrics and a prioritised roadmap.

  2. 02

    Design

    UX flows, prototypes and the technical plan.

  3. 03

    Build

    Two-week sprints with working software in every demo.

  4. 04

    Grow

    Launch, measure, iterate and maintain.

FAQ

SaaS & Product Engineering: common questions

Can you take over an existing product?

Yes. We start with a code and architecture review, stabilise the release process and then continue development or maintenance.

How do you price product development?

Fixed-scope phases for MVPs, and a monthly team or retainer for ongoing development and maintenance.

Related

Services that work well together

Software Architecture & AI Readiness

Architecture reviews, cloud-native and event-driven design, legacy modernisation and AI readiness assessments.

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DevOps, Cloud & MLOps

CI/CD, infrastructure as code, Kubernetes, observability, FinOps and MLOps/LLMOps for teams running AI in production.

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Generative AI & LLM Development

RAG systems, AI copilots and LLM-powered product features, built on your data and shipped with evaluation and monitoring.

Learn more

Ready to talk about saas & product engineering?

Tell us about it. In a free 30-minute call we will tell you honestly what AI can do, what it costs and how fast you can see results.

Book a consultation hello@invigosol.com