Shieldbase is an AI operating system that automates knowledge retrieval and workflow management across various enterprise systems while ensuring data privacy through automatic redaction of sensitive information. By centralizing AI capabilities, it enables organizations to leverage their own data for diverse applications without the complexity of developing AI infrastructure from scratch.
Funding
$50K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises often struggle with fragmented data silos and the complexity of deploying and managing multiple AI tools for various use cases. This leads to inefficiencies in knowledge retrieval, workflow automation, and data privacy management, hindering the widespread adoption of AI across the organization.
Solution
Shieldbase provides an AI operating system that centralizes AI capabilities and automates knowledge retrieval and workflow management across diverse enterprise systems. The platform integrates with existing apps, databases, and large language models (LLMs) to provide a unified access point for company data. It enables users to quickly search for information, generate insights, and automate tasks across functions, while also ensuring data privacy through automated redaction of sensitive information. By consolidating AI infrastructure, Shieldbase simplifies AI operations and allows organizations to leverage their data for a wide range of applications without the need for extensive in-house AI development.
Target Audience
Shieldbase targets enterprises seeking to streamline AI adoption, improve knowledge management, automate workflows, and enhance data privacy across various departments, including human capital, knowledge management, customer support, sales, marketing, product, IT, legal, and finance.
Features
- Native integrations with various enterprise systems, including databases, applications, and LLMs, for centralized data access.
- Multimodal AI processing capabilities for structured and unstructured data, including text, videos, audios, images, and code in multiple languages.
- Access to a variety of AI models (LLM, SLM, deep learning, supervised and unsupervised ML) for diverse automation tasks.
- AI Commands feature for one-click execution of tedious and repetitive tasks such as data cleaning, sentiment analysis, and report personalization.
- Automated data redaction and synthetic data replacement to protect sensitive and confidential information.
- AI governance tools for enforcing AI policies, monitoring AI usage, and ensuring compliance.