Upload documents. Search in plain English. Your data never leaves your AWS account.

Most vector search infrastructure has a hidden problem: your data lives somewhere else. Whether it’s Pinecone’s servers or a managed Elasticsearch cluster, your proprietary documents are outside your control.

Essofore is different. It deploys as an AMI directly into your AWS VPC. Your documents never touch our servers or anyone else’s. And unlike Elasticsearch — which charges more as your data grows because vectors must be loaded into RAM — Essofore’s cost stays flat no matter how much you index for a given EC2 instance.

Who this is for:

• Developers at healthcare, fintech, or legaltech companies who can’t send proprietary documents to a SaaS vendor
• Teams getting unexpected bills from Elasticsearch or managed vector DBs as their corpus grows
• Developers who want RAG search without becoming an ML expert — no embedding knowledge required

What makes it different:

• Data sovereignty: 100% self-hosted in your AWS account. No third party ever sees your data.
• Transparent pricing: $0.55/hour + Cost of EC2 independent of the data volume
• Zero ML expertise required: Upload PDFs, Word docs, HTML. Essofore handles chunking, embeddings, vector storage, and search automatically.
• Enterprise-grade simplicity: One AMI. One systemctl command. Ready to serve queries.

Typical use cases:

• Internal enterprise search over company knowledge bases
• RAG retrieval layer for LLM-powered applications
• HIPAA/GDPR-compliant AI search where data residency matters

Get Started on AWS.