Cloud-Native Backend & MLOps for Real Estate
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Engineered for real estate teams.
Real Estate teams don't need a generic vendor — they need cloud-native backend & mlops built around how they actually operate. High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms.
Leads arrive across channels and go cold. Listings and CRM data drift apart. Coordinating buyers, sellers, and documents is a manual scramble.
- 01Architect services and the ML lifecycle around real load and SLAs.
- 02Prototype deployment and monitoring before scaling.
- 03Forge microservices, pipelines, and IaC.
- 04Harden with A/B deployment, drift monitoring, and retraining.
- Microservices (Go, Rust, Node.js, .NET)
- Serverless & container orchestration (K8s, Nomad)
- CI/CD (GitHub Actions, GitLab CI, ArgoCD)
- MLOps: deployment, A/B, monitoring, drift
- Data engineering (feature stores, ETL)
- Infrastructure as Code (Terraform, Pulumi)
- Real-time event streaming
- Event-driven architecture
What you can expect
Questions, answered straight
Listing platforms, CRM tools, and property management apps that capture every lead and automate the busywork between offer and close. We bring cloud-native backend & mlops depth to those exact systems rather than retrofitting a template.