Scaleport AI
Scaleport AI is an applied AI studio that builds custom RAG and agent based products for enterprises, from insurance cla
The Problem
Enterprises in insurance, legal, and product management sit on large volumes of unstructured documents such as medical reports, invoices, case files, and product requirements that must be manually reviewed by staff. This manual review is slow: the company's own client, an insurance CEO, describes claims processing that took significant staff time before automation. Product managers manually translate requirements into engineering tickets, and law firms spend time summarizing cases and generating documents by hand. These organizations do not have in house teams equipped to build production grade RAG pipelines or AI agents, so the work stays manual or slow.
The Solution
Scaleport AI designs and builds AI agents and RAG systems tailored to a client's documents and workflows, offered through four services: enterprise consulting, LlamaIndex integrations, automated business workflows, and AI product development. Examples on the page include an agent that predicts insurance claim costs using retrieval augmented generation compiled from thousands of historical medical reports and invoices, a JIRA-integrated SaaS assistant that turns product requirements into engineering tickets, a community search engine for an AI entrepreneur network, and a law firm AI associate that reviews PDFs, images, .docx, .xls, and scanned files to produce legal summaries and draft documents. Projects are built with stacks such as LlamaIndex, Vector Store, GPT-4, Next.js, Supabase, OpenAI, Python, and Qdrant, and the law firm product notes it was externally security audited.