Curiosity
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About
Curiosity is an enterprise-level intelligence platform designed to centralize and search knowledge across fragmented organizational systems. It connects complex data sources—ranging from cloud storage like SharePoint and Google Drive to communication tools like Slack and legacy databases—into a unified knowledge graph. By creating this single, secure layer, the tool allows teams to find information instantly regardless of where it is stored or what format it takes, effectively acting as a brain for the organization. The setup is designed for efficiency, moving organizations from pilot to full production in a matter of weeks using out-of-the-box connectors. The platform utilizes a combination of hybrid search, vector-based semantic search, and AI-driven assistants. It features a built-in in-memory graph engine that ensures high-speed responses even when handling terabyte-scale data. Users can interact with their internal data through private AI chats, allowing them to ask questions about specific files or folders, summarize documents, or generate new content based on historical company knowledge. The system also supports automated entity recognition and learns company-specific abbreviations to improve search accuracy over time, ensuring that the AI understands the unique context of the business. It is primarily built for large-scale enterprises and technical teams such as engineering, customer support, and compliance departments. For instance, customer support teams can resolve tickets faster by surfacing proven solutions from past cases, while engineering teams can reuse existing designs and documentation to accelerate development cycles. The tool is also highly beneficial for knowledge management roles tasked with reducing information silos across global offices. Its design emphasizes speed and usability, allowing employees to save significant time per application depending on their specific workflow requirements. What distinguishes Curiosity from standard search tools is its focus on data sovereignty and high security standards. It offers on-premise or private cloud hosting options, ensuring that sensitive data never leaves the company's controlled environment. Its flexibility allows for full UI customization and the integration of various Large Language Models, including OpenAI, Mistral, or Meta, alongside proprietary models. This "Made in Germany" solution is fully GDPR compliant and provides enterprise-grade features like audit logs, permissions management, and automatic data backups.
Pros & Cons
Supports massive scale with proven performance on up to 10TB of enterprise data.
Ensures data sovereignty with local hosting options that keep data within the company environment.
Provides high-speed indexing and searching via a built-in in-memory graph engine.
Offers deep integration with legacy systems and modern cloud apps like Slack and SharePoint.
Maintains strict GDPR compliance with all data processing centered in Germany.
Advanced features like semantic vector search are restricted to Enterprise pricing tiers.
The Cloud Workspace plan is capped at 500GB of storage which may be low for large teams.
Shared prompt libraries and custom AI workflows require an Enterprise-level subscription.
Full UI customization and custom file support are not available on standard managed plans.
Use Cases
Technical support teams can quickly surface solutions across millions of documents to resolve customer cases faster.
Engineering departments can reuse existing designs and technical data to accelerate development and avoid redundant work.
Compliance officers can maintain audit-readiness by searching across all internal communication and legacy storage systems.
Knowledge managers can connect fragmented data from Slack, OneDrive, and local servers into a single, searchable brain.
IT managers can implement secure, private AI assistants that only use authorized internal data to generate answers.
Platform
Features
• custom entity recognition
• ocr and speech-to-text
• on-premises hosting options
• 50+ native app connectors
• hybrid & semantic search
• in-memory knowledge graph
• private ai chat assistant
• unified enterprise search
FAQs
How long does it take to set up Curiosity?
Organizations can typically move from the initial pilot phase to full production in a matter of weeks. The tool ships with pre-built connectors and interfaces for various enterprise systems to accelerate the integration process.
Where is my data stored and processed?
Curiosity is built for data sovereignty, allowing it to run entirely within your own environment via on-premises or private cloud hosting. It is a German-made solution that is fully GDPR compliant and encrypted both in transit and at rest.
Which AI models can be used with Curiosity?
Users can choose from several LLM options including OpenAI, Mistral, and Meta. Enterprise customers also have the ability to integrate their own custom LLMs or embedding models via API for specific business logic.
Can I search through scanned images or audio files?
Yes, the platform includes integrated Optical Character Recognition (OCR) for images and Speech-to-Text (STT) for audio and video files. This ensures that content within diverse media formats is searchable just like standard text documents.
Pricing Plans
Cloud Workspace
EUR500.00 / per month• Unlimited users
• 500GB cloud storage
• Private cloud workspace
• Standard data sources
• Standard SLA and support
• Managed managed cloud
Enterprise Workspace
Unknown Price• Starting from 50 users
• Private cloud or on-premises
• Custom data and workflows
• Custom graph and model setup
• Enterprise SLA
• Priority support
Developer
Free Plan• Up to 10 test users
• Fully-featured developer version
• Install on your machine
• Unlimited time for dev use
• Free evaluation license
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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