PrivateFindr

Access organizational knowledge securely with an AI-driven interface that integrates your company data without training external models on private information.

Paid knowledge querying

About PrivateFindr

PrivateFindr is a sophisticated AI-powered knowledge management solution designed to empower organizations with a secure and intuitive way to interact with their proprietary data. Acting as a centralized intelligence hub, the platform allows employees to query their company’s collective knowledge base using natural language. This eliminates the traditional hurdles of searching through siloed folders, various software tools, and disparate documents. By transforming static documentation, manuals, and historical records into an interactive resource, PrivateFindr significantly enhances organizational efficiency and reduces the time spent on manual information retrieval. The technical foundation of PrivateFindr is built on a commitment to security and transparency. Unlike many mainstream AI tools that process information through public or semi-public models, PrivateFindr ensures that an organization's data remains entirely private. The tool utilizes open-source systems to provide a transparent architecture, ensuring that sensitive information is never used to train external AI models. Deployment is highly flexible, catering to the specific security requirements of different industries; companies can choose to host the system on their own premises, within a private cloud environment, or through PrivateFindr’s own secure cloud infrastructure. This tool is ideally suited for departments that manage high volumes of information, such as customer support, legal, and software engineering. Support agents can leverage the platform to find immediate answers within product guides, leading to faster resolution times and improved customer satisfaction. Tech teams can use it to navigate complex technical documentation and project histories, which is particularly useful for onboarding new developers or managing large-scale legacy systems. Furthermore, the platform includes granular access controls, which allow administrators to define exactly who can see which datasets, ensuring that internal confidentiality is maintained across different departments. What truly sets PrivateFindr apart is its bespoke approach to AI integration. Rather than offering a one-size-fits-all product, it is presented as a custom solution tailored to the unique needs and existing workflows of a business. It is a specialized spin-off project from The Agile Monkeys, a software development firm known for its focus on high-quality engineering. This pedigree is reflected in the tool’s emphasis on data sovereignty and its focus on solving the specific privacy concerns that often prevent large institutions from adopting generative AI technology.

Pros & cons

Pros

Supports on-premises and private cloud hosting for maximum data control.
Guarantees that internal company data is never used to train external AI models.
Built on open-source systems to ensure transparency and prevent vendor lock-in.
Provides granular access controls to manage which employees see specific datasets.
Seamlessly integrates with existing organizational tools to consolidate knowledge.

Cons

Requires an application and approval process rather than offering instant signup.
No public pricing is available, necessitating a direct contact for quotes.
Currently restricted to selected companies and institutions during initial rollout.

Use cases

Customer support agents can query internal manuals and guides to provide fast, reliable answers to customer inquiries.
Software developers can interact with technical documentation to understand complex project details and codebases more efficiently.
Management teams can access historical contracts and organizational metrics to inform strategic decision-making quickly.
Operations teams can centralize information from multiple disparate software tools into a single, searchable AI knowledge base.

Features

natural language querying
custom data integration
historical data analysis
on-premises hosting
technical documentation assistant
controlled access permissions
open-source system base
private cloud hosting

Pricing

Custom

Price varies

Custom data integration
On-premise or cloud hosting
Granular access controls
Open-source transparency
No model training on your data
Direct support and implementation

FAQs

Can PrivateFindr be hosted on our own servers?

Yes, PrivateFindr offers flexible hosting options including on-premises deployment or in a cloud environment under your organization's control. This ensures that your sensitive data never leaves your managed infrastructure if required.

Is our company data used to train public AI models?

No, PrivateFindr is built with a focus on privacy and ensures that your data is not used to train external models. The system leverages open-source technology to maintain full transparency and data ownership.

How does the tool handle internal data permissions?

The platform features controlled access mechanisms that ensure only authorized personnel in your organization can access the specific data they need. This allows you to maintain strict internal security and confidentiality.

Ratings & reviews

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