Claude
by AnthropicIn-app copilots, search over your own content, and drafting and summarising features, built on structured outputs and evaluated before release.
Product engineering
Custom web apps and platforms
Fast, accessible web products, from MVP to platform, engineered to last.
What we deliver
We design and build custom web applications, SaaS products, portals and corporate platforms in Next.js and React, with authentication, payments, admin tools and analytics, and AI where it earns its place.
What we build
SaaS products and MVPs, customer and partner portals, internal tools and admin consoles, and content-rich corporate platforms.
The usual building blocks: authentication and roles, payments and subscriptions, dashboards, search, notifications, file handling, audit logs and integrations.
How we build
TypeScript end to end, server-rendered React for speed and search visibility, accessible components with WCAG 2.1 AA as the baseline, automated tests on the critical paths and a preview deployment for every change.
You see working software every week in a staging environment you can click through, not a slide deck.
Recent work
Greenberg Engineering's corporate platform runs on Next.js and Vercel; we built Vyakarni, an AI Hindi writing assistant, end to end for SNS Innovation Labs; and LuxeLens AI Studio, our own generative-media product, is a Next.js app on Vercel backed by Google Cloud.
Typical deliverables
- Product discovery, information architecture and UX
- Design system in Figma and code
- Full-stack application in Next.js, React and TypeScript
- Authentication, roles, payments and admin console
- Analytics, SEO and performance budgets
- CI/CD, preview environments and monitoring
- Launch, documentation and handover
Tools we typically use
- Next.js
- React
- TypeScript
- Tailwind CSS
- Postgres and Supabase
- Drizzle ORM
- Vercel
- Google Cloud
- Stripe and Razorpay
If your team already runs a different stack, we work within it. These are defaults, not requirements.
Claude and Gemini
Where Claude and Gemini fit
We build on both model families and choose per task, on evaluation results, cost and latency, inside the cloud you already use.
Gemini
by GoogleImage, video and voice features when the product calls for them: understanding uploads, generating media, real-time voice.
Together. AI goes in where it earns its place. Plenty of great web apps need none.
Phases and team
How an engagement typically runs
6–18 weeks, delivered by a small senior pod, with progress you can see as it is built. Pip tailors the working model to your team.
Discover and design
Product discovery, information architecture, UX and a design system.
Build in sprints
A full-stack build with a demo every week in a staging environment you can use.
Launch
Production release with analytics, monitoring, documentation and access in your name.
Manage and improve
Optional ongoing management: updates, fixes and new features.
Typical team
Architect, product designer, two full-stack engineers and a QA engineer
Pricing
Priced to your scope and market.
Every project is priced to its scope and market. Pip gives you a tailored range in minutes, and the final number comes in a written proposal.
Hosting, subscriptions, licences and AI usage are billed to your own accounts at cost, estimated up front.
Related work
Where we've done this
LiveOur generative product-photo and video studio · Gemini on Google Cloud
- Generative AI
- Gemini
- Google Cloud
LiveCorporate platform on Next.js · Engineering and infrastructure
- Next.js
- Corporate platform
- Engineering
In developmentAI infrastructure-intelligence product · In internal beta
- AI product
- In development
- Construction tech
LiveAI Hindi grammar and writing assistant · Built end to end for SNS Innovation Labs
- AI product
- Indian languages
- Education
FAQ
Web apps: common questions
Ask Pip if yours isn't here.
Mostly TypeScript with Next.js and React, Postgres (often through Supabase) and Vercel or Google Cloud for hosting. If your team already runs a different stack, we work within it.
Yes. You get the repository, documentation, environment setup and a walkthrough with your team. We avoid exotic dependencies so any competent React team can take over.
Yes. Product design and a design system are part of most web-app engagements. If you already have designs, we build from them.
Further reading
Articles and playbooks on web apps
Playbooks are reference architectures we propose for an industry, not past client results.
- Article · 4 min readWhen Wix Studio is the right call for a B2B website (and when it isn't)Custom code isn't always the answer. How we decide between Wix Studio and a custom build for B2B and service businesses, with examples from our own client work.
- Article · 3 min readWebsites for malls, cinemas and venues: handling event-day traffic without over-engineeringVenue sites face sharp traffic spikes around releases, launches and festive sales. Why a fast, cached front end plus specialist platforms for transactions usually beats a custom build.
- Playbook · StartupsMVP acceleration and AI-native dev workflowShip a credible MVP fast with Claude Code, then keep the pace with automated PR review, issue triage and scheduled maintenance runs, without growing headcount.
- Playbook · Real estateLead qualification and property-matching conciergeQualify portal and ad leads on web and WhatsApp, match them to live inventory, answer neighbourhood questions and book site visits, with Claude and Gemini.
- Playbook · EducationAI tutor with text and voiceA Socratic tutor grounded in your course material, with a voice mode in many languages, audio lessons and rubric-based grading that teachers review.
- Playbook · Any industryLegacy modernisation and code migrationMigrate old PHP, Java or .NET applications service by service with Claude Code: characterisation tests first, then codemods and a pull request per service behind CI gates.
Related services
All services
Mobile apps
Cross-platform iOS and Android apps that share a codebase and a backend with your web product.
- Typical timeline
- 8–20 weeks
Brand and product design
From an idea to a brand, a product and a site that look and work as one.
Case studies: Forge Five Engineering, MAXPRO AI, Greenberg Engineering
- Typical timeline
- 3–10 weeks
Cloud and DevOps on Google Cloud
Secure, observable infrastructure on Google Cloud and Vercel, with deployments that are boring in the best way.
Case studies: LuxeLens AI Studio
- Typical timeline
- 3–12 weeks
Pip · Softpiper's AI
Ask Pip
Get a tailored range in a couple of minutes
Pip is Softpiper's AI. Describe the project and it will ask a few questions, give you a tailored price range for your scope and market, and book a call with the team.