We build private AI for mission-driven organizations.
VaniCloud builds AI systems that run inside our clients' own AWS accounts — backed by a decade of cloud engineering for nonprofits and small-to-medium businesses.
Background
VaniCloud is an American company that builds private AI. We deploy AI systems that run inside our clients' own cloud accounts — backed by more than a decade of cloud engineering: migrations, reliability, security, and DevOps. That foundation is why the AI work stays private, cost-efficient, and production-grade from day one.
We're a founder-led team spanning architecture, full-stack engineering, and QA in the US, with an engineering bench in India for additional capacity. A private AI system spans apps, data pipelines, security, and the model layer — we build the whole stack end to end.
Founder
VaniCloud was founded by Pras Chikte, who leads architecture and delivery on every engagement. He has spent 12+ years in the cloud as an AWS architect and site reliability engineer, following an earlier career in full-stack development, and has worked across FedRAMP, HIPAA, SOC 2, and PCI-DSS environments for startups, nonprofits, and enterprises. He holds AWS's Solutions Architect and DevOps Engineer Professional certifications, among others.
How we're staffed
Every engagement runs under US-based architecture and delivery leadership. We extend engineering and QA capacity through an India-based bench for surge capacity and extended-hours coverage.
Core skills
iOS & Android apps
Native mobile apps for iOS and Android, built and shipped end to end.
Web development
Full-stack web applications, from marketing sites to complex internal tools.
Backend development
APIs, services, and data layers in Python, Go, and Node.js.
AWS & cloud infrastructure
Solutions Architect-level AWS expertise, Terraform / OpenTofu, multi-region architecture.
Private AI on AWS
RAG pipelines on Amazon Bedrock, in-account deployment, de-identification, MCP integration.
Reliability & delivery
CI/CD, observability, disaster recovery, cost optimization, compliance-as-code.
