What

Prosights is an AI platform for extracting and organizing unstructured data into usable, structured formats at scale. It is positioned around data extraction workflows where teams need to convert source materials into firm-standard outputs with auditability.

The product appears to serve finance professionals, data scientists, accountants, insurers, and real estate teams, with especially strong positioning in finance-oriented environments. Its core workflow centers on taking unstructured inputs, extracting either all data points or selected fields, and delivering standardized outputs through JSON, Excel, or third-party databases and systems.

Features

1x1 extraction — Extracts all data points from unstructured inputs and outputs them into JSON, Excel, or third-party databases for broad downstream use.
Organized extraction — Pulls specific data points and places them into firm-specific templates, which is useful for standardized internal workflows and reporting.
API-based access — Provides JSON and REST APIs, including Pandas dataframe support, to help technical teams embed extraction into internal tools and data pipelines.
Workflow integration options — Supports custom ERP and CRM integrations and includes a native Excel plugin with SSO support for easier use in existing business processes.
Audit-ready output — Includes audit trails with source links and images, which helps teams review extracted data and trace outputs back to original documents.
Operational visibility — Offers real-time dashboards and reporting to monitor usage and workflow performance.

Helpful Tips

Validate extraction performance on your own document types — The site highlights strong extraction for tables and charts, but buyers should still test accuracy across their specific files, layouts, and edge cases.
Map output templates before rollout — Products like this deliver the most value when firms define their target schemas, templates, and field-level rules early.
Assess deployment and security fit — Prosights mentions multi-tenant and single-tenant VPC deployment options, so enterprise teams should compare these against internal architecture requirements.
Plan for both technical and business users — The mix of APIs and Excel-based access suggests the platform can support multiple user groups, but governance over who edits templates and reviews outputs will matter.
Use audit trails as part of review workflows — When introducing AI extraction into finance or operations processes, source-linked review steps can reduce adoption friction and improve trust.