How much funding has Semantic Machines raised?

Semantic Machines has raised $12.4M in total funding, most recently a Series B round.

Who are Semantic Machines's investors?

Semantic Machines's investors include Microsoft, Bain Capital Ventures, General Catalyst, Sound Ventures.

When was Semantic Machines founded?

Semantic Machines was founded in 2014.

Where is Semantic Machines headquartered?

Semantic Machines is headquartered in Berkeley, California, United States.

What industry is Semantic Machines in?

Semantic Machines operates in Artificial Intelligence.

How many employees does Semantic Machines have?

Semantic Machines has 11-50 employees.

Semantic Machines

Acquired

Berkeley, United States · Founded 2014 · $12.4M raised

Artificial Intelligence

Headquarters: Berkeley, California
Employees: 11–50
Founded: 2014
Business Model: B2B

Total Funding: $12.4M
Last Round: $12.4M Series BDec 2015
Rounds: 1

About

Semantic Machines was a Berkeley-based conversational AI company founded in 2014 that tackled one of the hardest problems in natural language interfaces: making AI-powered chatbots and virtual assistants sound genuinely human by introducing memory and context across conversations. Rather than building consumer products, the company focused on enterprise customers and platform integrations. Microsoft acquired Semantic Machines in May 2018 to establish a conversational AI center of excellence in Berkeley and accelerate its work on products such as Cortana, Azure Bot Service, and Microsoft Cognitive Services. The company no longer operates independently.

Summary

Semantic Machines is an Artificial Intelligence company based in Berkeley, United States, founded in 2014. It has raised $12.4M in total across 1 round, most recently a $12.4M Series B round in Dec 2015. Investors include Microsoft, Bain Capital Ventures and General Catalyst.