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Most teams live in document chaos. Files scattered across Google Drive, OneDrive, Dropbox and S3 โ with no single place to find anything. Searching means remembering where you saved things. And building a knowledge base from those docs? Nearly impossible.
Embiral solves this.
Connect all your cloud storage providers in minutes. Embiral syncs your documents in real-time via webhooks and automatically extracts AI-powered metadata โ so every PDF, contract, or report becomes searchable by its actual content, not just its filename.
What you can do with Embiral: Search semantically across all your providers at once โ "find the Q3 renewal contract from Acme" actually works. Build RAG chatbots trained on your specific documents โ support bots, legal Q&A, onboarding assistants. Organize with virtual folders that span multiple providers, with auto-classification rules. Control access with granular RBAC (25+ permissions), custom roles and full audit logging. Stay private: works with OpenAI, local models, or any OpenAI-compatible API.
We built this because our team was spending 40+ minutes a day searching for documents across 4 different cloud tools. Now we don't. We hope you don't have to either.
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EmbiralEmbiral's answer:
Traditional DMSs force you to migrate your files to another platform. Embiral takes a different approach: leave your documents where they live and add an intelligence layer on top.
Embiral's answer:
Embiral is the only federated document hub that unifies Google Drive, OneDrive, SharePoint, Dropbox, S3, Azure Blob, and Google Cloud Storage under a single interface โ without forcing you to migrate a single file. Unlike traditional DMS tools that require you to abandon your existing storage, Embiral works on top of what you already have. On top of federation, it adds AI-powered metadata extraction, hybrid semantic search across all providers simultaneously, RAG chatbots trained on your own documents, and AI-generated reports exportable to PDF and PowerPoint โ all with enterprise-grade RBAC, granular permissions, and a full audit trail. Privacy-conscious teams can run it entirely with local models via Ollama.
Embiral's answer:
Mid-sized companies (20โ500 employees) that store documents across multiple cloud providers and struggle to find, organize, or extract value from them. Key personas include IT and Operations Managers dealing with fragmented storage, Legal and Compliance teams needing audit trails and access control, Knowledge Management leads building internal AI assistants, and Finance or HR departments managing large volumes of structured documents. Embiral is particularly valuable for teams already paying for 2 or more cloud storage tools with no unified layer on top.
Embiral's answer:
Embiral was born out of a recurring frustration: in modern companies, documents live everywhere โ Google Drive, OneDrive, SharePoint, S3 โ and nobody knows where anything is. Search doesn't work across providers. Metadata is inconsistent. Building an internal knowledge base on top of scattered storage is nearly impossible. We built Embiral to solve this without asking companies to change how they store files. The result is a federated layer that connects to your existing cloud infrastructure, enriches your documents with AI, and makes your organizational knowledge finally findable and usable.
Embiral's answer:
Next.js 14 (App Router), TypeScript, PostgreSQL with pgvector for semantic search, Prisma ORM, Tailwind CSS, shadcn/ui, NextAuth.js v5, and OpenAI / Ollama / custom OpenAI-compatible APIs for AI capabilities. Storage integrations use OAuth 2.0 for Google Drive, OneDrive and Dropbox, IAM/STS for AWS S3, Azure AD for Azure Blob, and Service Accounts for Google Cloud Storage.
Embiral's answer:
Embiral is currently in private beta working with a select group of early adopter companies across legal, operations, and knowledge management teams. We are not disclosing specific customer names at this stage. If you are interested in early access, visit embiral.com
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