SERVICES
Everything we build
Production AI plus the full software-development spectrum, on one engineering core. Every service below links to what it includes, proof from shipped systems, and where we deliver it.
Midalaxy builds production AI — voice agents, RAG chatbots, computer vision, recommendation engines, workflow automation and AI video — plus the software around them: custom software, web and mobile applications, APIs, data engineering, DevOps and cloud. Every service page states when that service is the wrong answer.
- Every service page states when that service is the wrong answer
- No published prices — we ask your budget and say what it buys
- You own the code and the models from the first commit
- One high-value use case first, proven against your numbers
AI Voice Agent Development
Phone and web voice agents that sound human and never sleep.
RAG Chatbot Development
Chatbots that actually know your business — grounded in your data.
AI Avatar & Digital Human Development
Lifelike digital humans that speak for your brand in real time.
Healthcare AI Development
Clinical-grade AI: imaging, workflows and reporting that clinicians trust.
AI Recommendation & Search Engines
Ranking and semantic search that turns browsing into buying.
AI-Powered SaaS Development
Full-stack SaaS platforms with AI built in — shipped to production.
AI Workflow Automation
Agentic automation that removes the busywork between your tools.
AI Video Production Systems
Agentic pipelines that turn scripts into finished video at scale.
The rest of what we build
The eight above are where we publish production numbers. These are the service lines behind them — the same engineering, described for the buyer who arrives asking for the discipline rather than the outcome.
Custom Software Development
Software shaped to how your business actually works, not to a template.
ExploreWeb Application Development
Applications that stay fast as the data grows and the team changes.
ExploreMobile App Development
iOS and Android apps that survive review, bad networks and the next OS release.
ExploreDigital Transformation Consulting
Fewer manual steps, systems that talk to each other, decisions made on current data.
ExploreAPI Development & Integration
The layer that decides whether your systems cooperate or merely coexist.
ExploreData Engineering
Pipelines that are reliable enough for people to stop keeping their own copy.
ExploreMVP Development for Startups
The smallest thing that tests the riskiest assumption — built properly.
ExploreAI Consulting
Which problems AI actually solves for you, and which it does not.
ExploreAI Governance & Compliance
Being able to show how an automated decision was made, months later.
ExploreComputer Vision Development
Models that read images reliably enough for someone to act on the output.
ExploreLLM & Foundation Model Development
Language models wired into your systems, with the failure behaviour designed.
ExploreDevOps Consulting
Deploys that are boring and incidents that are short.
ExploreCloud Migration & Infrastructure
Moving without a freeze, and without arriving at a bigger bill.
ExploreQA & Test Automation
Tests that catch real regressions and do not cry wolf.
ExploreUI/UX Design
Interfaces designed against the constraints they will actually ship into.
ExploreIoT Development
Devices, ingestion and the software that makes the data worth collecting.
ExploreLegacy System Modernisation
Replacing a system that still works, without stopping it working.
ExploreMLOps & LLMOps
Models that stay correct after the people who built them move on.
ExplorePredictive Analytics
Forecasts with error bars, and a decision attached to each one.
ExploreEcommerce Development
Storefronts that stay fast at catalogue scale and survive a campaign.
ExploreNot sure which service fits?
Tell us what you are building. We reply within one business day.
Where each service fits
| Service | Use it when | Do not use it when |
|---|---|---|
| AI voice agents | Call volume you cannot staff, or hours you cannot cover | Low volume and your team answers promptly |
| RAG chatbots | Answers must come from your own documents, with citations | A general assistant would do — then use one |
| Workflow automation | Exceptions consume the team | The process itself is broken; fix it first |
| Custom software | The workflow is genuinely specific to you | A configured SaaS product covers 80% |
| Recommendation engines | Catalogue large enough that discovery decides revenue | Under a few thousand items — heuristics compete |
Frequently asked questions
Which service do we need?
Usually fewer than expected. Start from the number you want to move rather than the technology — a scoping call establishes whether the answer is AI, a process change, or a product you should buy instead.
Do you only build AI?
No. Roughly half the work is the software around the model — APIs, data pipelines, web and mobile applications, and the operational surface that makes a system runnable. A model with no product around it is not deployable.
How much does a project cost?
We publish no prices, because the honest number depends on integration surface, accuracy bar and scale. Tell us your budget and we will say what it buys, or say plainly if it does not buy enough.
How long does a project take?
A focused system reaches production in two to three months; a platform replacing several tools runs six to twelve. We scope one high-value use case first and prove it against your numbers before expanding.