Embedded AI & Cloud Systems Engineering
Our engineers embed directly into your teams as operating members. We architect and ship production-grade AI systems, multi-cloud infrastructure, and FinOps optimization in 2–6 weeks, not quarters.
Embedded Systems Engineering Vectors
Our engineers operate as embedded systems architects across AI, cloud infrastructure, data platforms, and FinOps optimization.
Embedded AI Systems Engineering
Production-grade GenAI applications, autonomous agents and ML systems deployed directly into client infrastructure. No prototypes, no handoffs.
- LLM applications & RAG systems
- Agentic workflows & autonomous agents
- MLOps infrastructure & evaluation frameworks
FinOps Architecture & Optimization
Cloud cost reduction through embedded cost-optimization engineering. 30–50% savings via rightsizing, architectural redesign, and real-time visibility.
- Cost optimization architecture
- Real-time cost attribution
- K8s & workload optimization
Multi-Cloud Infrastructure Engineering
Cloud-agnostic architecture and migrations across AWS, Azure, GCP, and OCI. Fully Infrastructure-as-Code with zero vendor lock-in.
- Multi-cloud architecture design
- Infrastructure-as-Code (IaC)
- Zero vendor lock-in deployment
Data Platform & Lakehouse Engineering
Lakehouse architecture, data pipeline engineering and ML platform optimization. Embedded execution from design through production.
- Delta Lake & data pipelines
- ML platform engineering
- Performance optimization & cost efficiency
Meet DrGodly — AI-Powered Telemedicine Platform
AI doctor + real doctor in one seamless experience. Built on the same AI and cloud infrastructure we deploy for our enterprise clients.
- AI symptom checker
- Doctor consultations
- EMR records
- AI clinical summaries
- Secure platform
- HIPAA-ready
Where your cloud budget is leaking
Most enterprises overspend by 30–45% on cloud. Here's where it happens — and what we fix.
Forgotten dev clusters, unused volumes and zombie load balancers.
Workloads sized for peak that runs 2 hours per week.
GPU instances running 24/7 for batch jobs that need 2 hours.
No per-team, per-feature or per-customer attribution.
Cloud-agnostic architecture, no vendor lock-in
We design and deploy on every major hyperscaler — and across them when it matters.
Forward Deployed vs. Traditional Consulting
Ready to build scalable AI platforms
and reduce cloud costs?
Talk to an engineer in 24 hours. Walk away with a roadmap — whether or not you work with us.