An honest read on a system, before you bet on it.
We give you an honest, evidence-based read on a system's architecture and code, whether you are about to scale it, inherit it, or invest in it, with risks named plainly.
Trusted by city corporations, retailers and founders across the Gulf, Europe, Bangladesh and beyond.
Verified on
Algoramming performs technical due diligence and architecture review for founders, teams, and investors across the UAE, Qatar, Saudi Arabia, the US, the UK, and Australia. We assess a system's architecture, code quality, scalability, and risk, and deliver a clear, evidence-based report you can act on or hand to an investor.
Written for the people buying the product and for the people who will run it after launch.
It is easy to form an opinion about a codebase in an afternoon and be wrong. We assess systematically: architecture and boundaries, code quality and test coverage, how it behaves under load, where the security and single-point-of-failure risks sit, and how maintainable it will be as the team changes. The output is grounded in what we actually found, with examples, so the conclusions hold up whether they are good news or bad.
A due-diligence report is only useful if it maps to a decision. We tailor it to yours, whether you are deciding to scale, to acquire, to invest, or to take over a system someone else built. Risks are ranked by severity and by the effort to fix, so you can tell the difference between a dealbreaker and a Tuesday afternoon, and the remediation plan tells you what to do first if you proceed.
Success is measured in shipped value you can use, in two-week increments.
Everything lands in your repositories, your cloud and your control.
The first release is scoped to the smallest version that proves its worth. Everything after that is a measured increment.
We audit the team, the code, the cloud bills, and the roadmap, then write down what we found.
We propose a 90-day plan with the unglamorous, high-leverage moves no one had time to make.
We embed in standups, code reviews, and architecture decisions, pushing tempo and quality together.
We co-own the next big release with your team: process, instrumentation, and incident readiness.
We stay on retainer for the calls that compound: hiring, vendor reviews, and quarterly planning.
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.
Well-supported tools your future hires already know, chosen for the years of maintenance after launch.
Something else on your mind? Email us and a lead engineer answers within one business day.
Typically one to three weeks depending on the size of the system and the depth you need. Investor timelines can be accommodated when they are tight.
Read access to the code and a few conversations with the team give the most accurate result. We can work with less, and we will be clear about what that limits.
If you want. The report stands on its own, and we can also carry out the remediation, either leading it or supporting your team.
An assessment of architecture and code quality, how the system behaves under load, security and single-point-of-failure risks, and how maintainable it is. Findings are backed by examples and ranked by severity and effort, with a prioritised remediation plan so a board or investor can act on it.
Typically one to three weeks, depending on the size of the system and the depth you need. When a deal timeline is tight, we can accelerate a focused review that concentrates on the risks most likely to affect the decision.
An architecture review looks inward, at how a system is built and how to improve it for your own team. Due diligence looks outward, judging the system and its risks for a decision such as investing, acquiring, or scaling. The analysis overlaps; the audience and the framing differ.
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.
On scope. A one-to-two-week discovery produces an itemised estimate for a defined first release, so you see the full cost before committing to the build.
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.
Learn how to engineer an AI native CMS architecture with real-time vector indexing, event-driven pipelines, and autonomous MCP content workflows.
Learn how pairing Next.js 16 Cache Components, PPR, and vector databases like pgvector and Qdrant powers fast, scalable AI native content management systems.
Learn how to build an AI Native CMS in 2026. Explore how to integrate vector databases like pgvector, build automated embedding pipelines, and connect headless Next.js frontends.
Reply within one business day, NDA on request, and a free 30-minute discovery call before anything is priced.
