LastClass
Campus SaaS — attendance, groups, library, notes, alumni networks.
StackInfinity is a product and engineering company that designs, builds, and operates digital platforms, AI systems, and cloud infrastructure. Our experience building products of our own informs how we help organisations bring new systems to market, scale reliable software, and optimise complex technology estates.
Campus SaaS — attendance, groups, library, notes, alumni networks.
Photography platform — bookings, gear rental, portfolios, client hubs.
Local commerce — paste a link, scan a barcode, compare offers nearby.
Hybrid operating layer — workloads placed on policy, cost and data path.
Lyka exists because the fourth problem was no longer application code — it was where the work ran. Fimyd now runs on it in production.
See the products ↗Most engineering problems announce themselves as something else — a missed date, a bill, a hiring plan. Pick the one that sounds like your week.
You have a mandate, a market or a signed customer, and nothing running. The date is already set and the team you would need to hire does not exist yet.
Read the approach ↗02It works, but barelyWhat you built when you were small is now the thing holding you back. Releases are slow, incidents repeat, and nobody wants to touch the oldest service.
Read the approach ↗03It costs more than it returnsCloud spend grew faster than usage. Steady, predictable workloads are rented by the hour, and finance is asking questions engineering cannot answer.
Read the approach ↗04The pilot never shippedYou have data and an AI mandate, and a prototype that works on a laptop. Getting it to production means governance, latency and cost you have not solved.
Read the approach ↗Nobody paid us to get these right. Our own products stopped working until we did.
Role hierarchies and data isolation across institutions that share one deployment but must never share a row.
Booking, rescheduling, cancellation and settlement flows where both sides can act and neither can be left inconsistent.
Resolving a product from a pasted link, a photograph or a barcode, then ranking real offers against location and trust.
Upload, transform, store and deliver large media without paying egress twice or handing raw files to the public internet.
Model serving with bounded context and controlled concurrency, scheduled against real GPU memory rather than optimistic limits.
Deciding per workload whether it belongs on owned hardware or public cloud — on data gravity, latency and cost, not habit.
OIDC and RBAC that stay coherent across clusters and providers, so access does not fragment as the estate grows.
Artifact promotion and environment parity, so what passed in staging is what reaches production.
Every engineering problem can be solved by hiring, by a large firm, or by a small senior team. Here is when each one is genuinely the better answer.
This system is your core product for the next five years and the knowledge has to live inside the company permanently.
Your deadline arrives sooner than a senior hire does, and the first person you hire has nobody to learn the system from.
You need forty people across several workstreams, and procurement requires a name the board already recognises.
The people who won the work are not the people who arrive to do it, and every decision travels through an account layer first.
The problem is hard rather than large, and you want the person who designed it to be the person writing it.
You need to go from four engineers to forty next quarter. We cannot do that, and we will say so rather than try.
Fimyd needed infrastructure that renting by the hour could no longer justify, so we wrote the operating layer ourselves. It became the most valuable thing we had made.
The full sequence — four products, the wall we hit, and what we are honest about — is worth ten minutes if you are deciding whether to trust us.
Read the story ↗Send the actual problem — the bill, the incident, the deadline, the prototype that will not ship. You will get a reply from someone who would be working on it, not a form response.