Product engineering
Web and mobile apps, from the first version to the one that has to handle real scale. Clean code your own team can pick up later.
Friadd is a product studio for software, cloud, AI and security. We build products that stay fast as they grow, and we keep them running after launch.
Most products need four kinds of engineering at once. We cover all four, with one team that plans them together.
Web and mobile apps, from the first version to the one that has to handle real scale. Clean code your own team can pick up later.
Infrastructure that grows when you do and costs less when you don’t. Automated releases, so shipping on a Friday stops being brave.
AI features that do one job well inside your product, tested on your real data, with a plan for when the model is wrong.
Security built in from day one: access, secrets, data and audits handled before they turn into problems.
When clients thank us, it is almost always for one of three things. So we build every product around them.
We size infrastructure to the traffic you actually have, choose services that fit the budget and cut waste across the stack, so growth does not mean a bigger bill every month.
Fast for your users and fast to ship. Products are built to the response time target from the first release, and work lands in small weekly pieces.
Access, secrets and data are planned in from day one and checked every day after, not patched in before an audit.
We like the hard ones.
Real-time systems, heavy data, tricky integrations, tight budgets. The harder the problem, the more interested we get. More than 10 engineers, fully remote, working with clients around the world.
Pick the one that sounds most like your week. We’ll show you how we’d approach it.
Pick a problem to see the system we would build around it.
Your app slows down when traffic spikes.
We find the real bottleneck first, then add caching at the edge, split the heavy work into queues and scale the parts that need it. Your users see the same speed on a quiet Tuesday and on launch day.
Edge
Services
Data
Operations
You have a prototype and need a real product.
We keep what works, rebuild what won’t survive real users, and set up the testing, monitoring and release process a product needs. You keep moving while the foundation gets solid.
Edge
Services
Data
Operations
Your cloud bill keeps growing.
We map where the money goes, right-size the servers, switch off what nobody uses and move steady workloads to cheaper options. You pay for the traffic you have, not the traffic you fear.
Edge
Services
Data
Operations
Every release feels risky.
We add automated tests, preview environments and releases you can roll back in one step. Shipping becomes small and boring, which is exactly what you want.
Edge
Services
Data
Operations
You want AI that actually helps users.
We pick one task where AI clearly saves time, build it on your own data, measure whether it works and keep a human fallback. No chatbot added just to say you have one.
Edge
Services
Data
Operations
You’re not sure how secure you are.
We review access, secrets, dependencies and data handling, fix the urgent gaps first, then build checks into your daily workflow so they stay fixed.
Edge
Services
Data
Operations
Pick one of these and you’ll get a rough sketch of the system behind it.
Your sketch will appear here.
We look at your users, your numbers and your code, then write a short plan you can say no to.
Flows and screens are tried with real people early, while changes are still cheap.
Work arrives every week, with tests and reviews, so nothing big lands as a surprise.
Automated releases, preview environments and one-step rollback make launch day an ordinary day.
Monitoring from the first release shows where to scale next, so speed and costs stay where they should.
That means doing more than the brief when it matters: recommending, warning, guiding. If we see a problem coming, you hear about it from us first, whether or not it was in the scope.
A client came to us with a site built on a paid template. Then the template vanished from its marketplace, along with any support or updates. Rather than keep patching something nobody maintained, we rebuilt it from scratch on a foundation they own.
For an on-demand marketplace with live tracking, we cut costs across the stack: maps, routing and real-time location sharing. When legal questions and launch-day issues came up, we stayed in the room and helped the client through them too.
We start with your users, your numbers and your code, not with a pitch. You get a short written plan you can say no to.
Work arrives in pieces you can try every week, so nothing big lands as a surprise.
Speed, uptime and errors are tracked from the first release, so decisions are based on real data rather than guesses.
When it’s done, your team gets the code, the docs and the know-how. If you’d rather we keep running it, we’re still around.
Every part is built so it can run as many copies as the traffic needs, from the first release.
We look for the root of a problem before we patch it, so the same bug doesn’t come back next month.
Least-privilege access, encrypted data and managed secrets are part of the first plan, not the last checklist.
Logs, metrics and alerts ship with the feature, so problems show up on a dashboard before they show up in a support email.
We cannot name clients, but we can describe the kinds of systems we have shipped and keep running.
Customers book a service and follow the provider live on a map, ride-hailing style, with matching, dispatch and real-time location updates.Consistent matching under load.
End-to-end encrypted chat plus voice and video calls, built so only the people in a conversation can read or hear it.Private by design.
Notifications sent at high volume, with retries, provider failover and delivery tracking, so messages still arrive when a provider fails.Reliable message delivery.
Logs and metrics from many services gathered into one place, so teams can find the cause of slowdowns and failures quickly.Faster issue diagnosis.
Ingestion and processing that scales out to absorb bursts of traffic, with backpressure, safe retries and recovery when part of the system fails.Steady throughput under burst load.
Event streams from many sources merged into one live picture, with windowing, aggregation and handling for events that arrive late.Live analytics on a state that stays current.
Workflows that move and reshape large datasets, built with Pentaho and Pandas and checked for both speed and correctness.Processing time that holds as data grows.
Current certifications held across the team, backed by hands-on experience across AWS, Azure and Google Cloud.
We’re not tied to one stack. We pick whatever fits the problem and the team that will own it, across web, mobile, backend, data, cloud and AI.
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A few we use often
A few lines are enough: what the product does, what’s getting in the way, and when you need it.
Prefer email? Write to info@friadd.com