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AI · Cloud · FinOps · Healthcare

Cut Cloud Costs by 50% While Building AI Platforms Like DrGodly

AI-first systems combined with FinOps-driven cloud architecture. Built for production, not experiments.

50+ AI Systems Deployed
30–50% Cloud Cost Savings
HIPAA-ready Architecture
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AI Systems Deployed
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Cloud Workloads Optimized
0%
Max Cost Reduction
0.0%
Uptime
What we do

Four core practices, one execution team

From AI strategy and engineering to multi-cloud architecture and FinOps — delivered end to end.

AI Consulting & Development

GenAI applications, autonomous agents and ML systems shipped to production — not prototypes.

  • LLM applications & RAG
  • Agentic workflows
  • MLOps & evaluation
Learn more
Most requested

Cloud Cost Optimization & FinOps

Cut cloud spend by 30–50% with rightsizing, savings plans, K8s cost control and live dashboards.

  • Cost audits
  • K8s cost control
  • Savings plans & RIs
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Cloud Migration & Architecture

Multi-cloud architectures across AWS, Azure, GCP and Oracle — fully codified with IaC.

  • AWS · Azure · GCP · OCI
  • Infrastructure as Code
  • Zero vendor lock-in
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Databricks Consulting

Lakehouse pipelines, ML workflows and performance tuning by certified Databricks engineers.

  • Delta Lake pipelines
  • ML workflows
  • Performance + cost
Learn more
Our flagship product

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
drgodly.alpheas.ai
DrGodly Platform
DrGodly AI Platform Interface - Dark theme with gold and orange accents showing active AI processing
Active AI Processing
System Architecture
Live Data Flow
FinOps

Where your cloud budget is leaking

Most enterprises overspend by 30–45% on cloud. Here's where it happens — and what we fix.

Idle resources

Forgotten dev clusters, unused volumes and zombie load balancers.

Overprovisioned systems

Workloads sized for peak that runs 2 hours per week.

Inefficient AI workloads

GPU instances running 24/7 for batch jobs that need 2 hours.

No cost visibility

No per-team, per-feature or per-customer attribution.

Multi-cloud

Cloud-agnostic architecture, no vendor lock-in

We design and deploy on every major hyperscaler — and across them when it matters.

AWS
AWS
Azure
Azure
GCP
GCP
Oracle Cloud Infrastructure (OCI)
Oracle Cloud Infrastructure (OCI)
Why AlpheasAI

Traditional vendors vs. AlpheasAI

Strategy + build + deploy in one team
Traditional:
AlpheasAI:
Built-in FinOps from day one
Traditional:
AlpheasAI:
Production-grade AI (not POCs)
Traditional:Sometimes
AlpheasAI:
Multi-cloud, no vendor lock-in
Traditional:
AlpheasAI:
Own AI products (DrGodly)
Traditional:
AlpheasAI:
Faster delivery cycles
Traditional:3–9 months
AlpheasAI:2–6 weeks

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.