Metamaze is an Intelligent Document Processing platform that utilizes artificial intelligence and machine learning to automate the extraction, classification, and validation of both structured and unstructured data. This technology significantly reduces the time spent on data-related tasks by up to 90%, enabling finance and operations teams to enhance efficiency and operational control.
Funding
$1.7M 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
Many finance and operations teams spend excessive time on manual data-related tasks, including extracting, classifying, and validating data from various structured and unstructured sources. This reliance on manual processes leads to inefficiencies, increased operational costs, and potential errors.
Solution
Metamaze, also known as Duco, is a no-code enterprise data automation platform that empowers business users to automate the processing of structured and unstructured data across its lifecycle. The platform uses AI, machine vision, and statistical methods to automate data extraction, classification, transformation, reconciliation, validation, and exception management. By consolidating all enterprise data onto a single platform, Metamaze enables organizations to decommission expensive legacy systems, reduce manual effort, and improve operational efficiency. The cloud-based SaaS model provides continuous innovation with agile updates, training, and support included.
Target Audience
Metamaze targets finance and operations teams within enterprises seeking to automate data-intensive processes, reduce operational costs, and improve data accuracy.
Features
- No-code interface enabling business users to build automation processes without IT assistance
- AI-powered data extraction and classification from various document formats (spreadsheets, PDFs, emails, images)
- Automated data transformation, reconciliation, and validation
- Exception management workflows for handling data discrepancies
- Secure and governable deployment of GenAI, machine vision, and statistical methods
- SOC 2 and ISO 27001 certifications ensuring data confidentiality and control
- Cloud-based platform with continuous updates, training, and support