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
0+
AI Systems Deployed
0+
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
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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
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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
  1. 1
    AI symptom consultation
    Patient chats with our AI doctor for an instant intake.
  2. 2
    AI clinical summary
    The model produces a structured handoff for the physician.
  3. 3
    Real doctor consult
    Video or voice consult with a licensed clinician.
  4. 4
    Prescription & follow-up
    EMR-stored records, e-prescriptions and follow-ups.
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
Oracle Cloud
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.