Cognitivo offers an AI software and services platform that accelerates responsible AI adoption for businesses. Their low-code AI FACTORY platform and marketplace of pre-built models enable non-technical users to build AI applications, while integrated trust and cyber tools ensure data privacy and security.
Funding
$250K 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
Businesses face challenges in scaling AI adoption due to the technical expertise required for development and the inherent risks associated with data management. This often leads to underutilized investments in big data solutions and a gap between AI potential and realized business benefits.
Solution
Cognitivo provides an AI software and services platform designed to accelerate responsible AI adoption. Their AI FACTORY platform offers a low-code environment for building AI-powered applications, democratizing AI development for non-technical users. The platform integrates a marketplace of pre-built machine learning models and robust trust and cyber tools for responsible AI implementation. Cognitivo also offers specialized services in data strategy, including data architecture, engineering, and unified data risk management, ensuring data privacy and security.
Target Audience
The primary customers are businesses seeking to scale AI adoption, particularly those in the banking and government sectors, and organizations requiring robust data risk management and privacy solutions.
Features
- AI FACTORY: A low-code workflow platform enabling non-technical users to build AI-powered applications.
- Model Marketplace: Access to a curated selection of pre-built machine learning models and algorithms.
- Identity Verification & KYC: Deep learning models for automated classification, extraction, and secure storage of ID document information.
- Roadside Asset Detection: Computer vision and ML techniques for object detection and classification of street signs.
- Invoice and Payslip Processing: AI-driven automation for document analysis and data extraction.
- ML-based Credit Risk Algorithm: Pre-built models for assessing creditworthiness.
- Unified Data Risk Management: A methodology for managing data privacy, information security, and data use.
- R4 Re-identification Risk Assessment Tool: A tool for assessing and mitigating re-identification risks in datasets.
- On-premise or private cloud deployment options ensuring data privacy and compute within the organization's infrastructure.