01 / Step
Start with your technical reality
Slow releases, database bottlenecks, missing monitoring, fragile deployments — we have seen it all. We know where to look, and we do not need months to figure it out.
AI-Native Technical Partner
Your external engineering layer.
Algorana embeds into your company to modernize systems, own infrastructure, accelerate delivery, and bring AI-native engineering into daily execution.
EU-based (Cyprus)AI-native engineeringlong-term partnerships
Engineering ownership without building an in-house team.
We're the engineering team for companies that run on technology but don't want to build and manage a large one in-house. You keep the business and the strategy. We take the technical execution — modernization, infrastructure, AI integration, delivery — and the responsibility for how it turns out. One team, embedded in your workflow, accountable for outcomes rather than hours. No recruiting, no turnover, no managing developers: you get a working result and a single monthly cost.
Powered by AI
AI agents are part of our engineering team.
We use agents across engineering, QA, monitoring, research, automation, and delivery, so clients get faster execution, modern tooling, and systems that evolve with the market.
Faster delivery
Agents remove routine work from the critical path.
Higher reliability
Monitoring, review, and QA loops run continuously.
New tech adoption
We test emerging tools and bring the useful ones into your business.
Algorana
AI Layer
Code
QA
Infra
Monitoring
Research
Automation
Why this is real, not hype
Monthly AI training for every engineer.
Hands-on, on real tasks — new tools, new models, every month. Continuous education is a standing company process, not a one-off.
We research constantly.
New models, agents and tooling appear every week. We test them on production work and adopt only what performs — so you get today's best practice, not last year's.
Backed from the EU.
Based in Cyprus, we work to EU standards and receive European support and subsidies aimed at growing both the team and our AI capability.
Embedded
We work inside your workflow, not beside it.
Outcome-owned
We take responsibility for technical results, not logged hours.
Long-term
We stay close to the system after delivery and keep it improving.
Process
How we work
02 / Step
Audit and diagnose
We review your infrastructure, codebase, and delivery pipeline — and give you an honest picture of what is slowing you down, what is at risk, and what should be fixed first.
03 / Step
Build and integrate
Our team handles full implementation using modern AI-augmented development practices. We embed into your existing workflow, with no heavy coordination required from your side.
04 / Step
Stay for the long term
We stay after delivery and keep improving your systems as the business grows. We usually start with a 3-month trial. Your code and access remain yours.
01 / Step
Start with your technical reality
Slow releases, database bottlenecks, missing monitoring, fragile deployments — we have seen it all. We know where to look, and we do not need months to figure it out.
02 / Step
Audit and diagnose
We review your infrastructure, codebase, and delivery pipeline — and give you an honest picture of what is slowing you down, what is at risk, and what should be fixed first.
03 / Step
Build and integrate
Our team handles full implementation using modern AI-augmented development practices. We embed into your existing workflow, with no heavy coordination required from your side.
04 / Step
Stay for the long term
We stay after delivery and keep improving your systems as the business grows. We usually start with a 3-month trial. Your code and access remain yours.
Stack
A modern stack, applied where it actually makes sense.
We're stack-agnostic within reason — here's what we reach for most, grouped by where it fits.
Frontend
Backend
Data & Storage
AI / ML
Infra & Ops
Frontend
Backend
Data & Storage
AI / ML
Infra & Ops
What we do
Services
Legacy Modernization
We replace outdated systems with modern, AI-ready architecture, migrating without downtime or losing what already works.
e.g. An e-commerce platform on a 10-year-old monolith migrates to a modern stack — without stopping sales for a single day.
AI Integration & Automation
We embed AI into your technical workflows, automating routine operations, accelerating delivery cycles, and unlocking capabilities your team did not have before.
e.g. A retail operations team replaces 3 hours of daily manual reporting with an automated pipeline that runs itself.
Infrastructure & Performance
We rebuild and optimize your infrastructure for reliability, speed, and scale, so it stops limiting your growth.
e.g. A platform that crashed under peak load gets rebuilt to handle 100× the traffic — reliably.
Monitoring & Incident Response
We set up the systems and processes that give you full visibility into production — and catch problems before your customers do.
e.g. A business that found out about outages from angry customers now catches issues in 1–5 minutes — automatically.
Full-Cycle Development
From architecture to deployment, we design, build, and ship complete technical solutions at the speed AI-augmented teams make possible.
e.g. A company with a product idea and no technical team ships a production-ready platform in 8 weeks.
Dedicated Technical Partnership
We become your embedded engineering team, integrated into your workflow, aligned with your goals, and available for the long term.
e.g. A growing logistics company gets a senior engineering team embedded into their workflow — without hiring a single full-time engineer.
Results
Case studies
Four production stories: scaling, long-term technical management, full-cycle product development, and incident response.
FAQ
Questions
When technology matters to your operations but you do not want — or do not need — a large internal engineering team. Slow releases, aging infrastructure, no monitoring, and growing technical debt are the problems we solve. Business strategy is yours. Technical execution is ours.
Engagement
Ready to talk?
Most clients come to us with a specific technical pain: a legacy system that is becoming a liability, infrastructure that cannot handle growth, slow deployments, or no visibility into what is happening in production. If any of that sounds familiar, let’s talk. No pitch, just an honest conversation about your situation.