Intelligent intake
Ingest submissions, emails, and attachments and extract the key data.
AI intake and orchestration platform that processes insurance submissions, claims, and unstructured documents.
indico is an AI intake and orchestration platform for insurance carriers that processes unstructured work such as submissions, claims packets, emails, and attachments. It ingests, enriches, validates, and routes incoming documents before they reach core systems, using custom machine learning models that teams train on their own samples. Underwriting, claims, billing, and operations teams at insurers use indico to reduce manual intake and speed up triage, with options to deploy inside the enterprise firewall.
Reetha S.
RPA Developer
“Liked quick access to project data that stays current and reliable. Found that setting up and managing data in the platform is tedious and takes considerable time.”
PandiDurai A.
Executive
“Liked the versatile machine learning platform, accurate models, customization options, and strong natural language processing tools. Noted no major drawbacks and reported encountering no bugs.”
Jothika K.
RPA Developer
“Liked accurate predictions, a user-friendly interface, easy integration, and time saved on analysis. Found that output is JSON only, requires Python integration to use, and that the cost is high.”
Viveka P.
Associate
“Liked the intuitive interface, custom extraction models, reduced manual review, available integrations, and the training and support provided. Noted no major drawbacks.”
Keerthana R.
Associate
“Liked easy PDF uploads, needing only a few samples to train models, helpful courses, and a friendly interface. Found that exports to Excel and PDF formats are not available.”
Viveka P.
Developer
“Liked the automated machine learning workflows, the pre-trained models, and the training videos available to users. Found that customer support was less available than they wanted.”
Siva R.
Associate
“Liked unstructured data extraction, image recognition, and automation features that even non-technical users can operate easily. Found that the level of customer support was limited.”
Kondal J.
System Engineer
“Liked accurate document analysis and fast processing speeds. Found document uploads slow and the tool's behavior and structure difficult to understand.”
Saran Raj S.
RPA Developer
“Liked the collaboration tools and strong data management and analysis capabilities. Noted no major drawbacks and said they look forward to future updates.”
Nihilkumar T.
Assistant Manager
“Liked strong unstructured data extraction that keeps improving with more training, plus the available APIs and UiPath integration. Noted no major drawbacks.”
Melshika D.
Associate
“Liked extraction of both structured and unstructured data, the training courses, and the ability to split and monitor team tasks. Found that final reports are only available as JSON files.”
Enterprise document automation
Human-in-the-loop extraction for complex documents
Intelligent document processing
Prebuilt skills for many document types
Unstructured data AI
Enterprise platform for complex document workflows
RPA-based document processing
Pairs extraction with UiPath automation robots