Carpenter AI offers an enterprise‑grade platform that unifies data from ERP, CRM, SaaS and file systems into a single data lake, delivering real‑time BI dashboards and automated workflows to eliminate manual entry and reporting inconsistencies.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle with fragmented data across ERP, CRM, SaaS, and file systems, leading to duplicated effort, manual data entry, and inconsistent reporting. Unstructured documents such as PDFs, images, and emails further increase processing overhead and error rates, limiting operational efficiency and decision‑making speed.
Solution
Carpenter AI provides an enterprise‑grade platform that consolidates data from disparate sources into a unified data lake, creating a single source of truth accessible via comprehensive BI dashboards and automated workflows. The solution leverages Databricks, OpenAI, LangChain, Azure, and AWS to ensure scalability, reliability, and secure cloud deployment. Intelligent document processing extracts and classifies data from unstructured files, with human‑in‑the‑loop validation to maintain accuracy at scale. Built‑in automation capabilities and governance frameworks enable organizations to establish an Automation Center of Excellence, reducing manual effort and accelerating business processes. End‑to‑end product and application development services add secure APIs, UX/UI design systems, and performance SLAs to support enterprise‑level deployments.
Target Audience
Target customers are large enterprises seeking to unify data, automate workflows, and process high volumes of unstructured documents, particularly in industries that rely heavily on ERP and CRM systems.
Features
- Pre‑built connectors for ERP, CRM, SaaS, databases, and file systems to ingest data into a unified data lake
- Executive‑grade 360° BI dashboards with real‑time analytics and process automation triggers
- Scalable intelligent document processing that extracts, classifies, and validates data from PDFs, images, and emails
- Human‑in‑the‑loop review workflow to ensure high accuracy for unstructured data extraction
- Automation Center of Excellence framework with governance, best practices, and reusable automation templates
- End‑to‑end web and mobile application development with secure APIs, design system integration, and enterprise‑level SLAs
- Deployment on Databricks, Azure, and AWS leveraging OpenAI and LangChain for advanced AI capabilities