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SaaS Development services
SaaS engineering for founders and product teams: a solid multi-tenant foundation, billing and integrations, and AI features designed in from the start.

Service overview
A SaaS product lives or dies on its foundation: tenant isolation, roles and permissions, billing that matches how you charge, integrations customers expect, and an architecture that doesn't need rewriting at the first thousand customers.

We build that foundation and the product on top of it, usually in TypeScript with Next.js and Node.js, PostgreSQL and managed cloud infrastructure. AI features such as copilots, smart search, summaries and automation are designed in from the start, with evaluations and cost controls, rather than bolted on later.
We work as your product engineering team, from the first release through growth, or alongside your in-house developers.
Webguru
SaaS Development
From first release to scale, with AI features designed in.
- 01 / 04
New SaaS products
From MVP to first paying customers: core workflows, onboarding, billing and admin.
- 02 / 04
AI-native SaaS
Products where AI does the core job: agents, copilots, document and data processing.
- 03 / 04
AI features for existing SaaS
Copilots, summaries, recommendations and natural-language search added to your product.
- 04 / 04
Scaling and modernization
Performance, multi-tenancy, reliability and integrations for products that are growing.
How we build SaaS
06 —
Multi-tenant from day one
Tenant isolation, roles and permissions designed in, not retrofitted.
Billing that fits your model
Subscriptions, seats or usage-based billing with Stripe.
AI designed in
AI features scoped with evaluations and cost budgets, not bolted on.
Integrations customers expect
APIs, webhooks and connectors to the tools your customers use.
Observable and secure
Logging, monitoring, audit trails and security reviews as standard.
You own everything
Code in your repositories and infrastructure in your cloud accounts.
Capabilities
- F/01
Architecture
Multi-tenant data models, background jobs, queues and APIs that scale.
- F/02
Auth and permissions
SSO, roles, team accounts and audit logs.
- F/03
Subscription billing
Plans, trials, seats, usage metering and invoices with Stripe.
- F/04
AI features
Copilots, agents, RAG search and automation inside the product.
- F/05
Integrations
Public APIs, webhooks and connectors to CRMs, ERPs and Shopify.
- F/06
Infrastructure
CI/CD, environments, monitoring and cost-aware cloud setups.
Our SaaS development process
We ship in small, working increments with a clear roadmap.
- 01
Discovery
Users, core workflows, pricing model and the first release scope.
- 02
Architecture
Tenancy, data model, integrations and the AI components, planned together.
- 03
Build in increments
Working software every sprint, reviewed with you.
- 04
Launch
Billing, onboarding, monitoring and a release plan.
- 05
Grow
Iterate on usage data, scale the platform and add features.
Tools we use
01Product
- TypeScript
- Next.js
- React
- Node.js
02Data and billing
- PostgreSQL
- Prisma
- Redis
- Stripe
- Supabase
03AI and cloud
- OpenAI
- Anthropic Claude
- Vercel
- AWS
- Docker
Work we've shipped
- 01RiskBright: AI-assisted AML compliance SaaS, rebuilt from a Replit prototype
- 02TMS: our AI-powered team management SaaS MVP
- 03Cheggl: a video business directory with hybrid AI search
- 04Video Helden: video ordering platform with a partner widget
- 05DiaRehab: Flutter diabetes app, clinician dashboard and AI coach
We answer what matters to your business.
A SaaS product where AI does part of the core job, such as drafting, classifying, searching or taking actions, rather than an add-on feature. It needs evaluations, guardrails and cost controls as part of the architecture.
Yes. We design tenant isolation, roles and permissions, and per-tenant configuration into the data model from the first release.
Usually TypeScript with Next.js and Node.js, PostgreSQL and managed cloud infrastructure, with Stripe for billing. We adapt to an existing stack when you have one.
Yes. We can own the whole product or work alongside your developers in your repositories, tools and process.
You do. Code lives in your repositories and infrastructure runs in your cloud accounts.
It depends on the scope of the first release, the integrations and the AI features. We share an estimate after a scoping call.