HighByte is a company that provides data engineering practices for industrial data management and architecture scaling.

HighByte

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Chief Technology Officer

Aron Semle

Co-Founder and Chief Product Officer

John Harrington

Co-Founder & Chief Executive Officer

Tony Paine

Co-Founder & Chief Communications Officer

Torey Penrod-Cambra

Sales and Support

Carolyn Baron

Human Resources

Liz Withee

Finance and Administration

Sabrina Mains

Senior Manager, Marketing & Operations

Sarah Paine

Business Management

Azel James

Sr. Software Engineer

Blake Bourque

Megan Buntain

Ben Sampson

Co-Founder and Chief Communications Officer

Chief Business Officer and Co-Founder

Northeastern US Companies With Less Than $10M in Revenue (Top 10K)

East Coast Early Stage Companies

Information Technology Companies With Less Than $10M in Revenue (Top 10K)

East Coast Companies (Top 10K)

HighByte develops DataOps software to solve industrial enterprises' data architecture and integration challenges. The company's software combines real-time, transactional, and time-series data into a single payload for consuming applications, allowing manufacturers to securely collect, model, and flow valuable industrial data to and from systems without writing or maintaining code.

Standard Investments

Series A - HighByte

Maine Venture Fund

Convertible Note - HighByte

Seed Round - HighByte

Momenta

Maine Technology Institute

Debt Financing - HighByte

Grant - HighByte

Computer and Software Products and Electrical and Scientific Products

Portland

Maine

United States

North America

HighByte Announces Changes to Board of Directors

HighByte Announces Series A Raise to Accelerate Growth in Industrial DataOps Market

Portland industrial software startup HighByte raises $12M

HighByte Releases Industrial DataOps Solution with Advanced Connection and Data Governance Capabilities

HighByte Raises $12M in Series A Funding

HighByte: Industrial Software Company Raises $12 Million

A DataOps software enabling manufacturers to connect, model, condition, and flow industrial data to IT systems without coding. Deployed at the Edge, it integrates real-time, transactional, and time-series data for analytics and ML applications.

Allows data collection and publishing over open standards and native connections without custom coding. Supports dynamic requests and integration of data from various systems into complex payloads.

Enables the collection, conditioning, and passing of raw input data to instances or flows, including filtering through deadband conditions and aggregates for statistical calculations.

Features a built-in transformation engine for standardizing and normalizing data, performing calculations, and defining new values to improve data usability.

Facilitates the representation of machines, products, processes, and systems with intelligent data models, allowing for the contextualization of industrial data points.

Manages data flows between connections at any frequency or event, with capabilities for store and forward, monitoring, and third-party system integration.

United Kingdom

Europe

Malaysia

Asia

India

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