Three kinds of thing we build.

An internal tool is judged on how fast someone can do the thing they opened it to do. We design around the three or four tasks that make up ninety percent of the usage, and make those immediate — everything else can be one level deeper.

Customer-facing portals get the same treatment from the other side: self-service that genuinely deflects support tickets rather than generating them.

• Operational dashboards
• Customer and partner portals
• Bulk actions and workflows
• Saved views and filters

Every company has a spreadsheet doing a job it was never meant to do — quoting, scheduling, stock, approvals. It works until two people edit it at once, or the person who built it leaves.

We move that logic into something with validation, history and permissions, without losing the flexibility that made the spreadsheet work in the first place. That last part is where most replacements fail.

• Process and approval flows
• Data validation and history
• Role-based permissions
• Migration from existing sheets

Every SaaS needs the same foundations: tenant isolation, authentication, subscription billing, plan limits, an admin view for your support team. Getting them wrong is expensive to unpick once you have paying customers.

We build these once, correctly, so you can spend your engineering budget on the part of the product that is actually yours.

• Multi-tenant architecture
• Subscription billing and plans
• Auth, SSO and invitations
• Admin and support tooling

Search that finds the product, a checkout that does not ask twice, and payment and shipping that behave the same on a phone as on a desktop. Catalogue structure and stock logic get designed up front, because they are painful to change once orders are flowing.

• Custom and platform builds
• Payment and shipping
• Inventory sync
• Checkout optimisation

A platform that cannot reach your CRM, your finance system or your warehouse is another island. We build the integrations in, and expose a documented API so the next system can connect without another project.

• Third-party integrations
• Public and partner APIs
• Webhooks and event streams
• Data import and export

Performance is designed in, not tuned on afterwards. We build against real budgets and load-test against realistic data volumes, because most platforms break on the size of the dataset long before the number of users.

• Performance budgets
• Query and index tuning
• Caching strategy
• Load testing