AI Agent

Data Collection AI Agent

Stop manually copying data from websites and documents

20 hours/week copying data manually. Zero hours with AI that extracts, validates, and structures data automatically.

Benefits

Eliminate Manual Data Entry Forever

Teams waste days copying data from websites, PDFs, emails, and spreadsheets. Manual entry introduces errors. Keeping data current is impossible. This agent collects and structures data automatically.

95%

Time saved on data entry

99%

Extraction accuracy

Real-time

Data freshness

Agentic Flows

Complete Data Collection Automation

Automated workflow: source monitoring with scheduled checks, data extraction using AI and OCR, format validation and error detection, duplicate removal and deduplication, structured output to databases or APIs.

How it works

Intelligent Data Extraction and Validation

The agent scrapes websites using intelligent parsers, extracts data from PDFs and documents with OCR, validates formats and completeness automatically, structures data for your systems and workflows.

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Integrations

Extracts from Any Source

Scrapes websites, HTML, APIs, and SaaS platforms. Parses PDFs, Word docs, Excel, CSVs, and images with OCR. Exports to Airtable, Google Sheets, PostgreSQL, MySQL, Snowflake, and REST APIs.

Implementation

Collecting Data in 3 Days

Configure your data sources and define extraction rules. Set validation requirements and output destinations. Most teams have automated data collection running within 72 hours.

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Advanced Data Extraction

Multi-Source Collection

Extracts from websites, documents, emails, and databases. Handles any format automatically.

Validation Engine

Validates data types, formats, and completeness. Flags errors for review before loading.

Automated Scheduling

Runs collection on schedules or triggers. Keeps data fresh without manual intervention.

Demo

See Data Collection in Action

Watch the agent scrape 100 competitor product pages, extract pricing, features, and descriptions, validate formats, remove duplicates, and load structured data into your database.