Vertical SaaS
Industry platforms
All-in-one platforms for a specific industry that combine website, CRM and automation — the way RE365 does for real estate.
Managed SaaS Engineering
SaaS development by the team that also runs it
One senior team takes your product from architecture to a managed, multi-tenant platform on Azure or Google Cloud: AI-native features, secure by default, shipped continuously and operated by the people who built it.
console · your-saas · production
a3f9c21 · feat: AI search in dashboard4m 12s
- Build
- Tests
- Security scan
- Deploy
Uptime · last 60 days99.98%
Region
EU · West Europe
Last backup
12 min ago · restore tested
Sound familiar?
For teams that need a product, not a project
- 01
You have a validated idea, or an internal tool that customers now want to pay for.
- 02
An agency delivered your app, then disappeared when it needed hosting, security and updates.
- 03
Your platform works, but releases are slow, risky and depend on a single developer.
- 04
You want AI in the product itself, not a chatbot bolted onto the corner of the screen.
Capabilities
Everything a SaaS needs to ship and scale
Product, platform and operations under one roof — no hand-off between the team that builds and the team that runs.
Product & UX engineering
Web apps built with Next.js, React and TypeScript, designed around the jobs your users hire the product to do.
Multi-tenant architecture
Tenant isolation, roles and permissions, usage limits and billing-ready data models from the start.
AI-native features
LLM-powered search, assistants and automation designed into the product's core workflows.
Managed cloud hosting
Infrastructure as code on Azure or Google Cloud, with autoscaling, CDN, backups and EU data residency.
Security & compliance
SSO, encryption, audit logs, least-privilege access, vulnerability patching and GDPR-ready data handling.
Continuous delivery
CI/CD, preview environments and automated tests, so improvements ship continuously instead of in risky big releases.
Use cases
What we build and run
Internal tools
From spreadsheet to platform
Spreadsheets and email chains replaced with a secure internal application the whole organization can rely on.
Data products
APIs as a product
Your data or model packaged as an API product with keys, usage tracking and documentation.
Modernization
Legacy re-platforming
An aging application moved to a modern, cloud-native stack step by step, without a risky big-bang rewrite.
Process
From first commit to managed platform
- 01
Product discovery
Users, jobs, the scope of the first release and the architecture decisions that are expensive to change later.
Deliverable: Scope & architecture record
- 02
MVP build
A production-grade first release built in short iterations and demoed to real users along the way.
Deliverable: Live MVP
- 03
Launch & harden
Load testing, security review, monitoring and backups in place before scaling up.
Deliverable: Launch readiness review
- 04
Run & evolve
Managed hosting, incident response, updates and a continuous roadmap of improvements.
Deliverable: Managed platform & roadmap
Technology
The platform stack we run in production
- Application
- Next.js & ReactTypeScriptNode.jsPayload CMS
- Data
- PostgreSQLRedisObject storage
- Cloud
- Microsoft AzureGoogle CloudDockerInfrastructure as code
- Operations
- CI/CDDS Uptime monitoringAutomated backups
What does managed SaaS engineering include?
Design, development, cloud hosting, security, backups, monitoring and continuous updates — handled by the same team. You own the product vision and roadmap; we make sure it's built well and stays online.
Azure or Google Cloud — which is better for our SaaS?
Both are excellent. We choose based on your existing contracts, the managed services you need — AI services or data residency, for example — and your team's familiarity, and keep the platform portable with containers and infrastructure as code.
Can you take over an existing SaaS product?
Yes. We start with a technical audit of the code, infrastructure and security, stabilize what's risky, then take over hosting and development through a planned handover.
How do you keep a SaaS platform secure?
Security is part of the delivery process: dependency and vulnerability scanning, least-privilege access, encryption in transit and at rest, audit logs, regular patching and tested backup restores.
How do you add AI to an existing SaaS product?
We look for the workflows where AI removes the most effort — search, drafting, data entry, classification — and build those features into the product with cost controls and quality monitoring, rather than adding a generic chatbot.
Managed SaaS Engineering
Build a SaaS you won't have to babysit
Tell us about the product and where it stands today. We'll outline the architecture, the first release and how we'd run it.