Product Engineering and SaaS
A product built to serve many customers, from the first release to the next stage of growth.
Why It Matters
A product idea can win its first customers and still fail on the next step. The data model, billing and permissions were built for one client, so every new customer needs custom work.
SaaS products fail in known ways. Tenants see each other's data, a release breaks a customer's settings, or running costs rise faster than revenue. These problems are cheaper to design out than to repair.
What We Do
Multi-Tenant SaaS
One product that serves many customers with separate data, settings and access, and tests that prove it.
Composable Product Architecture
Parts with clear interfaces, so you can change, price and reuse one without rebuilding the whole product.
Product Discovery and MVP
A small release that proves a real customer will pay before you fund the full platform.
Scaling and Performance
The product stays fast as customers, data and traffic grow, and you see where the next limit will come from.
What Changes for You
Customers Stay Separate
Each customer's data, settings and access are isolated by design, and you can show that separation to a buyer.
A First Release That Proves Demand
We build the smallest product that solves a real problem for a paying customer, so you learn before you fund the full platform.
Growth Without a Rebuild
The architecture, pricing and operations can add customers and volume without a rebuild.
How the Work Runs
The work starts with one customer and one problem. Each stage asks you to decide whether the evidence supports the next one.
Shape the Product
We agree the customer, the problem and the first paid release. You decide the pricing model, the first customers to serve and what the product will not do.
Prove the Demand
We build a small working product and put it in front of real users. You decide what counts as proof, who tests it and whether to continue.
Build the Product
We add tenancy, billing, roles and the features behind the proven flow. You review each release, set the priorities and name the first customers.
Prepare to Scale
We test the product at the volume you expect and remove the first limits. You decide when it is ready for wider sale and what support each customer gets.
Team and Engagement Options
The team changes as the product moves from proof to growth. You approve the shape and size at each stage.
A Product Team
A team that owns discovery, build and operation. It stays long enough to learn from real customers.
A First-Release Team
A small team focused on the first paid release. The scope is fixed and the result is agreed before work starts.
Team Extension
Our engineers join your product team and follow your roadmap. They work in your tools and release process.
Platforms and Technologies
We build on the cloud and tools your product can grow with. AWS and Google Cloud are cloud platforms. TypeScript is a programming language, Node.js runs services, and PostgreSQL stores data. Redis keeps fast-changing data in memory, Kubernetes runs the services, Terraform manages the infrastructure, and OpenAPI describes the interfaces other systems use.
- Languages
- TypeScript
- Frameworks
- Node.js
- Databases
- PostgreSQL
- Redis
- Cloud
- Amazon Web Services
- Google Cloud
- DevOps and observability
- Kubernetes
- Terraform
- Integration
- OpenAPI
Naming a product does not mean a partnership with its vendor.
Industries
Media and Telecommunications
Consumer platforms, streaming, connected devices and ad-tech that stay fast at peak audience, with AI for content and personalisation.
Software and Technology Companies
Software companies and technology teams: multi-tenant products, platforms and the AI features and billing that keep them growing.
Questions
What founders and product leaders ask before they invest in a platform.
How does a product engagement start?
We agree the first paying customer and the problem to solve. You give us access to users and to the current product, if there is one. We return a scope for the first release and the evidence it must produce.
How long before we have something to sell?
The first release is kept small enough to prove the core value. The number of customer roles, the billing model and the integrations set the pace. We agree what the first release must show before work starts.
What makes product engineering cost more?
The number of customer roles, the billing model and the integrations set the effort. Tenancy, security and operations add work that a single-client tool does not need. We agree the first product release before you commit.
Do we own the product and its code?
Yes. You own the code, the data model and the design records. Your team can run the product, and any capable supplier can continue it.
Does each customer need a separate database?
Not always. We choose shared, separate or mixed tenancy from your security, cost and support needs. The choice is written down, with its limits and its exit route. What matters is that isolation is designed, not added later.
Tell Us What You Need to Run, Build or Secure.
Describe the service, the systems and the pressure you are under. The right team takes it from there.