AuraForge is an early-stage, self-funded startup based in India. We build the layer between operational data and applied AI — reliable, secure, and cloud-native from day one.
Our team has spent years building analytics and LLM systems for high-volume data environments — call centers, transaction platforms, and internal data portals. The pattern was always the same: the data held the answer, but getting to it meant an analyst, a nightly export, and a dashboard nobody trusted.
AuraForge packages that hard-won experience into a product any team can adopt. Ask a question, get a grounded answer with the query that produced it. No stitched-together tools, no waiting on a ticket.
We build on AWS to deliver scalable inference, storage, and analytics without the operational overhead. Amazon Bedrock powers managed model access; RDS and S3 hold data; EKS orchestrates the pipelines; Lambda drives event-based automation.
This lets a small team run production-grade infrastructure reliably, and lets every customer deployment stay inside a security boundary they control. AWS credits directly extend our runway to build and harden the platform through its earliest stage.
Every answer carries its source. If we can't ground it in your data, we say so rather than guess.
Read-only by default, deployed inside boundaries you own. Data access is a privilege the product earns, not assumes.
Cost, latency, and quality of every model call are visible. No black boxes running in production.