Dixamix helps startups and businesses design, build, deploy and scale AI products, cloud-native systems and custom software — with the rigor of a senior engineering team and the velocity of a modern studio.
Most teams can build a prototype. We build systems that survive contact with real users, real data and real scale. Dixamix is the senior partner you bring in when execution actually matters.
AI, data, infrastructure and software — orchestrated by people who have shipped each of them in production.
Production-grade AI systems — from computer vision and RAG assistants to ML pipelines and model deployment.
Reliable data platforms designed for scale — streaming, batch, lakehouse and analytics, end to end.
Cloud-native platforms built for resilience, automation and continuous delivery on AWS and Kubernetes.
Web, mobile and backend systems engineered with product thinking — fast to ship, built to last.
Every decision is grounded in real implementation experience, not slideware.
We design for the day after launch — observable, resilient, maintainable.
Cross-disciplinary delivery without the integration tax of multiple vendors.
Move fast with the architectural discipline complex systems demand.
Engineers who think in user flows, not just endpoints.
A snapshot of recent engagements across computer vision, healthcare AI, business platforms and large-scale data infrastructure.
A smartphone-based platform that extracts precise biometric foot measurements from photos using YOLO models and biometric pipelines — replacing in-store scanning hardware.
A clinical scheduling and patient platform with a retrieval-augmented chatbot, vector search, and intent routing — designed for safety-critical medical workflows.
Node.js services and Odoo ERP unified into a containerized, Kubernetes-orchestrated platform on AWS — built for operational reliability and team scale.
Feature stores, EKS-based ML platforms, Kafka/Iceberg lakehouses, dbt and Airflow stacks with end-to-end observability — production data infrastructure for scale.
We pick technologies for fit, longevity and operational maturity — not novelty.
We map the problem, constraints and outcomes — aligning on what success looks like in production.
We design the system: data flows, models, infrastructure, UX, integrations and the path to scale.
Iterative delivery with rigorous engineering — tests, CI/CD, reviews, documentation, every sprint.
Cloud-native rollout, observability, performance tuning and continuous evolution after launch.
Dixamix is led by a senior engineer with hands-on experience across full-stack product, AI, MLOps and data engineering — building healthcare platforms, computer-vision systems, cloud-native infrastructure and production software for international teams.
Every engagement is led by people who can architect, build and operate the systems they recommend. No layers, no theatre, no handoffs to a junior bench.
Tell us what you're working on. We'll come back with a sharp, honest read on the fastest path to production.
