Cloudsquid provides an AI agent designed to automate end-to-end workflows for finance and operations teams by interacting with ERPs, portals, emails, and spreadsheets. The platform executes tasks based on natural language instructions, delivering auditable and explainable results with cited sources. This enables teams to increase output and consistency across reconciliations, cleanups, and audits without requiring extensive IT configuration.
Funding
$1M 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.
HHFounders
Product
Problem
Many organizations struggle to efficiently extract and transform unstructured data trapped in documents like PDFs, images, and spreadsheets. Manual data extraction is time-consuming, error-prone, and hinders the ability to integrate document data into downstream systems for analysis and automation.
Solution
Cloudsquid provides an AI-powered platform that automates the extraction, transformation, and loading (ETL) of unstructured data from various document formats. The platform enables data and operations teams to build real-time pipelines that convert raw data into structured formats like SQL, CSV, or JSON. Users can leverage AI prompts, a visual workflow builder, and a Python/SQL workbench to create custom extraction and validation logic. Cloudsquid facilitates the integration of cleaned and structured data into downstream systems through pre-built connectors, webhooks, and CSV exports.
Target Audience
Cloudsquid targets finance, operations, and data teams within organizations that need to automate document workflows and extract insights from unstructured data.
Features
- AI-powered agents for automated data extraction from PDFs, images, and other text files with over 99% accuracy
- Visual workflow builder for designing custom data pipelines without code
- Support for complex documents with hundreds of pages and nested tables
- Data transformation capabilities, including validation logic and data enrichment using Python and SQL
- Pre-built connectors and webhooks for seamless integration with downstream systems and applications
- Role-based access control, data encryption in transit and at rest, and EU-based infrastructure
- ISO 27001 compliance (Q1/25), GDPR compliance, and SOC2 readiness