WORK
Proof, not promises
Every system below runs in production. The metrics are the ones the businesses actually measured — hover a card, or scroll on.
Systems Midalaxy has shipped, with the numbers the businesses actually measured: a voice platform sustaining 10,000+ concurrent calls at sub-500ms latency, a clinical imaging pipeline that cut reporting time 85%, and a multi-tenant SaaS with 132 API endpoints across 9 languages.
- Voice platform: 10,000+ concurrent calls, sub-500ms latency, 99.9% uptime
- Clinical imaging: Dice > 0.85, 92% classification accuracy, 85% faster reporting
- Multi-tenant SaaS: 132 API endpoints across 9 languages
- Discovery engine: sub-50ms semantic search, ranked on completed bookings
- Every figure is the number the business measured, not a projection
Voice platform sustaining 10,000+ concurrent calls
End-to-end real-time voice intelligence platform with agentic decision loops, post-call automation and Kubernetes auto-scaling.
Read the buildNHS-grade clinical AI cutting reporting time by 85%
Deep-learning CT analysis with role-based clinical workflows and automated reporting for lung nodule risk stratification.
Read the buildBooking-optimized discovery engine with sub-50ms search
Multi-phase ranking system with GRU event encoding and natural-language venue search served from a real-time vector store.
Read the buildMulti-tenant restaurant SaaS: 132 endpoints, 9 languages
Complete restaurant operating system — POS, kitchen displays, QR ordering, inventory, reservations, analytics — with an AI booking agent.
Read the buildAgentic video production across 11 pipeline types
Instruction-driven video production orchestrated by an LLM director — explainers, avatar spokespersons and localization dubs from declarative manifests.
Read the buildSiteChat & Estimate256: RAG bots and ML estimation in production
Zero-code website chatbot platform plus a domain-tuned ML estimation engine — two production systems on one modern stack.
Read the buildGetting a new brand found by AI assistants, not mistaken for another
Our own site, not a client’s. Asked to read midalaxy.com, ChatGPT described a company called Midaxo. Nothing was broken — and that was the point.
Read the buildWant results like these?
Tell us what you are building. We reply within one business day.
Frequently asked questions
Are these numbers real?
Every figure comes from a shipped project and is the number the business measured, not a projection. Where we cannot publish a client name we say what was built rather than inventing a logo.
Can you do this for us?
The honest answer depends on your integration surface and accuracy bar, which is what scoping establishes. Each case study ends with what someone in a similar position should take from it — including when their situation is different enough that it does not transfer.
What was the hardest part of these projects?
Rarely the model. Latency budgets, clinical sign-off, multi-tenancy and reconciliation were, and each case study names its own constraints because that is what a technical evaluator is actually reading for.