About Pulse AI

Provides an AI-powered supply chain intelligence platform that automates workflows in spreadsheets, extracts and interprets data from unstructured documents, and enables semantic search across ERP, 3PL, and email systems. By integrating vision-language models and predictive analytics, it reduces manual tasks, improves data accuracy, and proactively identifies risks such as inconsistencies and delays.

```xml <problem> Many supply chain operations rely on manual data entry and analysis within spreadsheets, leading to inefficiencies and errors. Extracting and interpreting data from unstructured documents, such as invoices and purchase orders, is time-consuming and prone to inaccuracies. Siloed data across ERP, 3PL systems, and email further complicates risk identification and proactive decision-making. </problem> <solution> Pulse provides an AI-powered supply chain intelligence platform that automates data extraction, workflow execution, and semantic search across disparate systems. The platform leverages vision-language models to accurately parse unstructured documents and transform them into LLM-ready text. By integrating with existing spreadsheets, ERPs, and 3PL providers, Pulse enables users to execute workflows directly within their familiar tools. The platform's semantic search capabilities and AI summarization features facilitate intelligent decision-making and proactive risk detection across the entire supply chain. </solution> <features> - Autonomous spreadsheet agents that automate workflows in Excel or Google Sheets based on video demonstrations or natural language prompts. - Vision-based document processing API that accurately extracts data from unstructured layouts, including charts, graphs, and tables. - Semantic search engine that indexes data across ERP, 3PL systems, emails, and document suites, enabling users to find information instantly. - AI-powered summarization that generates Perplexity-like summaries for intelligent decision-making in procurement and planning. - Risk detection capabilities that automatically identify inconsistencies, delays, or deviations across the supply chain. - Customizable data pipelines that allow users to build retrieval-augmented generation (RAG) pipelines with custom schemas and connectors to external tools. - Enterprise-grade security features, including SOC 2 Type 2 and HIPAA compliance, zero-data retention agreements, and verified deletion processes. </features> <target_audience> The primary target audience includes supply chain professionals, procurement teams, and logistics managers seeking to automate workflows, improve data accuracy, and proactively identify risks. </target_audience> ```

What does Pulse AI do?

Where is Pulse AI located?

Pulse AI is based in San Francisco, United States.

When was Pulse AI founded?

Pulse AI was founded in 2024.

How much funding has Pulse AI raised?

Pulse AI has raised 500000.

Location

San Francisco, United States

Founded

2024

Funding

500000

Employees

4 employees

Major Investors

Y Combinator

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Pulse AI

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Executive Summary

trypulse.ai 1K+

Crunchbase

Founded 2024 – San Francisco, United States

Funding

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (<5)

No team information available.

Company Description

Problem

Many supply chain operations rely on manual data entry and analysis within spreadsheets, leading to inefficiencies and errors. Extracting and interpreting data from unstructured documents, such as invoices and purchase orders, is time-consuming and prone to inaccuracies. Siloed data across ERP, 3PL systems, and email further complicates risk identification and proactive decision-making.

Solution

Pulse provides an AI-powered supply chain intelligence platform that automates data extraction, workflow execution, and semantic search across disparate systems. The platform leverages vision-language models to accurately parse unstructured documents and transform them into LLM-ready text. By integrating with existing spreadsheets, ERPs, and 3PL providers, Pulse enables users to execute workflows directly within their familiar tools. The platform's semantic search capabilities and AI summarization features facilitate intelligent decision-making and proactive risk detection across the entire supply chain.

Features

Autonomous spreadsheet agents that automate workflows in Excel or Google Sheets based on video demonstrations or natural language prompts.

Vision-based document processing API that accurately extracts data from unstructured layouts, including charts, graphs, and tables.

Semantic search engine that indexes data across ERP, 3PL systems, emails, and document suites, enabling users to find information instantly.

AI-powered summarization that generates Perplexity-like summaries for intelligent decision-making in procurement and planning.

Risk detection capabilities that automatically identify inconsistencies, delays, or deviations across the supply chain.

Customizable data pipelines that allow users to build retrieval-augmented generation (RAG) pipelines with custom schemas and connectors to external tools.

Enterprise-grade security features, including SOC 2 Type 2 and HIPAA compliance, zero-data retention agreements, and verified deletion processes.

Target Audience

The primary target audience includes supply chain professionals, procurement teams, and logistics managers seeking to automate workflows, improve data accuracy, and proactively identify risks.