SiliconValleycaliber.Withoutthezipcode.
I built Fenvolt because the gap between Silicon Valley talent and offshore execution was costing US agencies millions. We close that gap.
Why I built Fenvolt
I saw the struggle companies face when integrating AI. Traditional agencies lack deep ML knowledge, and hiring locally is too slow. I built Fenvolt to offer direct access to specialized engineering without the bloat.
Meet the Founder
Faizan Javed Ghumman
Faizan is an applied AI/ML Engineer specializing in Retrieval-Augmented Generation (RAG), LLM orchestration, Cloud Migrations, and OCR document intelligence.
With a track record of building sophisticated multi-LLM pipelines, implementing advanced vector search (Pinecone, FAISS, pgVector), and fine-tuning Vision-Language Models for complex text extraction, he bridges the gap between cutting-edge AI research and production-grade enterprise software.
He founded Fenvolt to bring this exact caliber of rigorous, research-backed engineering to US agencies and product teams.
Ship it.
We bias toward production. PRs over presentations. Working code beats perfect plans.
Own it.
Our engineers join your standups. They are accountable to your sprint goals, not just their tickets.
Secure it.
Zero-trust architecture, SOC2 compliance, and enterprise NDAs before the first line of code.
Military-grade security.
Zero data retention.
Your IP is your biggest asset. Our pods operate under strict zero-trust architecture. We train on open-weights and deploy directly to your VPC. Your data never hits a public foundation model.
Zero Data Retention
Your proprietary data is never stored on our servers longer than necessary, and never used to train models.
VPC Deployments
We deploy AI models and RAG infrastructure directly into your private cloud (AWS/GCP/Azure).
End-to-End Encryption
All data is encrypted at rest (AES-256) and in transit (TLS 1.3) with strictly managed KMS keys.
Enterprise-Grade Practices
Industry-standard secure infrastructure with Zero Data Retention.