Ship AI that earns its place in the product, not the pitch deck.
We build AI into the software you actually run: features grounded in your own data, automations that remove repetitive work, and assistants that know their limits, all measured so quality is a number rather than a hope.
Trusted by city corporations, retailers and founders across the Gulf, Europe, Bangladesh and beyond.
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Algoramming is an AI and automation company that builds AI features, workflow automations, chatbots, and predictive analytics into production software for clients across the UAE, Qatar, Saudi Arabia, the US, the UK, and Australia. One expert team handles AI integration, guardrails, and evaluation, and you own the code and the data from the first commit.
Written for the people buying the product and for the people who will run it after launch.
Nearly anything looks impressive in a first demo. The value is in what happens next: real, messy inputs, edge cases, and the cost of a confident wrong answer. We build AI features on the model that fits the job, ground them in your own data through retrieval, and wrap them in guardrails so they fail safely rather than loudly. The point is a feature people come to rely on, not a screenshot for the pitch deck.
The best automation targets are repetitive and rule-based: moving data between systems, generating routine documents, triaging standard requests. We map where your team loses hours to that kind of work and automate it, keeping a person in the loop for anything that needs judgement. Every automation is logged and monitored, so it is trustworthy enough to leave running rather than one more thing someone has to check.
AI behaviour is a distribution, not a yes or no, so we treat evaluation as part of the build. An evaluation harness tracks how often the system is right, where it goes wrong, and whether a prompt or model change actually helped. That is what makes it possible to ship AI responsibly and improve it deliberately, instead of shipping a black box and hoping. We are also honest about the cases where the mature answer is to not use AI at all.
If one of these sounds like your situation, the rest of this page is written for you. If none does, send a note anyway and we will tell you whether we are the right partner.
Each specialism has its own page with outcomes, deliverables and the questions teams ask before signing.
We measure the engagement by what changed in your business, not by the number of screens shipped.
Everything lands in your repositories, your cloud and your control. No proprietary lock-in, and a walk-away clause in every contract.
Discovery is where the price gets honest. Nothing is built until you have seen the itemised plan.
We pin down the use case, the data available, and the cost of getting an answer wrong before building anything.
We design the retrieval, prompts, guardrails, and the human-in-the-loop points that match the risk.
We integrate the feature or automation into your product and stand up an evaluation harness alongside it.
We ship behind flags, watch quality, cost, and latency on real traffic, and tune before widening.
We monitor accuracy as the world drifts, retrain or re-prompt as needed, and keep the guardrails honest.
Sparrow is a serverless, peer-to-peer photo and video sharing app built by Algoramming. Your phone becomes a live host and the people you invite connect directly, so photos and videos stream device to device over encrypted WebRTC, never uploaded, never stored in the cloud.
How we built the AI-native CMS behind algoramming.com, a Next.js 16 and Supabase platform that researches, writes, illustrates and publishes long-form SEO articles to four social networks every night, with a human in control by choice.
Algonize is the cloud ERP, CRM and POS platform built in Dhaka for multi-branch retail shops, restaurants and delivery businesses. This case study shows how one real-time dashboard unifies sales, inventory, riders, loyalty and accounting across Android, iOS, macOS and the web.
“We’re happy with the DSCC Waste Management System developed by their team. It has made our daily operations, data tracking, and reporting much easier to manage. The team was professional throughout the project, and their ongoing support has been really helpful whenever we needed assistance. Overall, a great experience working with them.”
“We’ve been using their DNCC Vehicle Equipment Management System for almost a year, and it has made managing our equipment and stock records much easier. The team is professional, friendly, and always helpful whenever we need support. Overall, it’s been a really good experience working with them.”
“I've been using this CRM software for the last 2 years and it has truly transformed how we handle our operations. This software is a game-changer in terms of efficiency and functionality. A top-notch software solution that has exceeded our expectations. Really appreciate themselves. The after-service of their product is just outstanding.”
No sales layer, no junior swap-ins, no surprise invoices. This is what every client gets, in writing, before work starts.
The engineer who scopes your project reviews every line that ships. Nobody is swapped out for a junior after the kickoff.
A one-to-two-week discovery ends in an itemised plan. After that, two-week sprints, each with a recorded demo and a changelog you can forward to your board.
Source code, infrastructure, domains and secrets live in your accounts from day one. A walk-away clause is written into every contract.
Monitoring, incident response and small improvements, with a named human who answers. Urgent tickets under a maintenance contract are handled around the clock.
Every engagement starts with a short discovery that ends in a costed, itemised plan. No rate-card surprises, no minimum-month lock-in.
Discovery through launch and handover, for one agreed price and date.
Best when the brief is clear and the deadline is firm.
A rolling backlog we re-rank together, with the same experienced people every month.
Best when priorities change faster than annual planning.
Our engineers join your Slack, repos and sprint board as part of your team.
Best when your in-house engineers need expert support.
Models from the providers that fit your data residency, with retrieval, evaluation and guardrails you own and can inspect.
Something else on your mind? Email us and a lead engineer answers within one business day.
Usually not. Most valuable features come from applying strong existing models well, grounded in your data. Custom or fine-tuned models make sense in specific cases, and we will tell you plainly when yours is one of them.
We choose providers and configurations that match your privacy needs, keep sensitive data out of training where required, and can keep more of the pipeline in your own infrastructure when that matters.
Yes, and that is most of what we do. We add AI feature by feature into software that already exists, wiring into your current data and workflows, rather than rebuilding the product to bolt AI on.
We ground answers in your own data through retrieval, constrain the model with guardrails, and measure accuracy with an evaluation harness on real inputs. That cuts confident wrong answers sharply, and we are honest that it does not remove them entirely, so we keep a human in the loop where the cost of an error is high.
Build cost depends on the use case and how much data plumbing it needs. Running cost is model calls, which we keep inside a per-request budget you set. We estimate both in discovery, and we will tell you plainly when plain software is the cheaper, better answer.
An evaluation harness tracks how often the system is right, where it goes wrong, and whether a prompt or model change actually helped. Cost, latency, and safety sit on the same dashboard, so quality is a number you can watch rather than a hope.
Yes. Source, infrastructure configuration and documentation are pushed to your repositories from day one, and the cloud accounts stay in your name. If we part ways, you keep everything and nothing stops working.
A focused v1 usually takes three to six months, shipped in two-week increments you can test as they land. A clickable prototype typically exists within fourteen days of the brief.
Yes. Our team works on GMT+6, with at least six hours of daily overlap with the Gulf, Europe, the UK, the US and Australia, and demos are recorded for anyone who missed the call.
We keep watching the metrics, respond to incidents and ship small improvements under a maintenance agreement, for as long as you want us. Runbooks and monitoring are in place from day one, so nothing depends on memory.
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Reply within one business day, NDA on request, and a free 30-minute discovery call to see whether AI and automation is even the right answer.
