Teranalytics

Teranalytics specializes in large-scale supply chain and logistics optimization using machine learning and mathematical techniques.

Software Development

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Headquarters: Newton, Ma Massachusetts, United StatesSource: RevenueBaseRetrieved October 13, 2026
Employee range: 1 to 10Source: RevenueBaseRetrieved October 13, 2026
Founded: 2016Source: RevenueBaseRetrieved October 13, 2026
Published list appearances: 2 supported appearances ↗Source: RevenueBase lists

The company at a glance

What does Teranalytics do?

Its algorithms ingest millions of constraints and provide recommendations that operations teams can implement. Applications include manufacturing optimization across multi-site, multi-source operations, production scheduling, distribution network operations, and general operations optimization.

Based on the company’s public LinkedIn information, supplied through RevenueBase.

What the business offers

Services & capabilities.

Manufacturing optimization

The company applies manufacturing optimization to multi-site, multi-source operations.

Source: LinkedIn company description · Retrieved October 13, 2026

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Company lists.

Supported appearances on published RevenueBase lists, including available memberships beyond displayed rankings.

#5OF 12

United States

Algorithmic optimization companies

Snapshot: September 18, 2026

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#17OF 25

United States

Optimization algorithm companies

Snapshot: September 19, 2026

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Positions describe ordering within each source list. See how lists are built ↗

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Teranalytics

#5 Algorithmic optimization companies

Snapshot: September 18, 2026

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Sources & data notes.

RevenueBase prepared this profile from the company’s public LinkedIn information and RevenueBase company data. These source records were retrieved on October 13, 2026. AI helped summarize these sources, with a separate automated check against the source text completed on November 4, 2026. Directory positions use company-contact counts from separate saved list snapshots dated September 18, 2026 and September 19, 2026. How the company lists are built.

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