AKASA

HQ
South San Francisco
Total Offices: 3
110 Total Employees
48 Product + Tech Employees
Year Founded: 2019

Articles about AKASA

Featured Articles

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Sam Daley Sam Daley
Published on June 03, 2026

AI in Healthcare: Uses, Examples and Benefits

From faster diagnoses to robot-assisted surgeries, the adoption of AI in healthcare is advancing medical treatment and patient experiences.

Alyssa Schroer Alyssa Schroer
Updated on July 20, 2026

82 Artificial Intelligence (AI) Companies to Know

Take a look at the artificial intelligence companies working to make change across a wide range industries.

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Sam Daley Sam Daley
Updated on July 13, 2026

47 Top San Francisco Bay Area AI Companies to Know

These companies are using artificial intelligence to innovate across a wide range of industries.

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All Articles

Olivia McClure Olivia McClure
Updated on April 22, 2026

Companies Investing in Cutting-Edge Tech and Big Ideas

Learn how Braze, Altana, Playground and other fast-growing companies stay ahead of emerging tech trends while scaling fast.

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Taylor Rose Taylor Rose
Updated on March 05, 2026

Top NYC Companies Innovating in 2026

Engineering and product leaders at The Farmer’s Dog, Akasa, Grow Therapy, Maybern, Bilt and Fora share how AI and human-centered design shape innovation and day-to-day work at their companies

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Olivia McClure Olivia McClure
Updated on April 20, 2026

Engineers Share The Projects They’re Most Excited to Tackle in 2026

Learn how engineers at Celonis, Clear Street, Cleo and elsewhere are preparing to tackle high-impact projects in the year ahead.

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Olivia McClure Olivia McClure
Updated on November 19, 2025

Working Smarter, Not Harder: How AI is Empowering These Engineers

Learn how AI has helped engineering teams at Dynatrace, Capco, Lowe’s and elsewhere drive high-impact innovation.

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Ana Gore Ana Gore
Updated on May 21, 2026

33 Companies Hiring Machine Learning Engineers

Companies that hire machine learning engineers help various industries boom.

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Ana Gore Ana Gore
Updated on July 08, 2026

27 Companies Hiring AI and Machine Learning Engineers in NYC

These companies are making NYC a powerhouse for AI innovation.

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Taylor Rose Taylor Rose
Updated on June 30, 2026

35 Companies Hiring Software Engineers in San Francisco

Discover the top companies hiring software engineers in San Francisco.

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Margo Steines Margo Steines
Updated on July 13, 2026

95 Companies Hiring AI Engineers

These companies are looking for AI engineers who can help them leverage the swiftly evolving technology across a wide range of applications.

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Brooke Becher Brooke Becher
Updated on June 30, 2026

59 Top Engineering Companies to Know

These companies continue to outperform the competition while facing disruptive tech trends head on.

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Alyssa Schroer Alyssa Schroer
Updated on July 21, 2026

68 Artificial Intelligence Tools for Business to Know

These companies use AI to enhance business processes, from automating customer support to beefing up cybersecurity.

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Recently posted jobs

16 Hours AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Manage and automate security operations across SaaS and endpoints: deploy and tune PHI DLP, run AI-powered email security, configure MDR/EDR, harden Okta and Google Workspace, lead incident response, automate compliance evidence collection, maintain runbooks, and build automation and reporting to improve security posture.
YesterdaySaved
Remote
United States
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.
4 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Own end-to-end QA and product operations for one or more product areas: design and maintain regression suites, triage support issues, define go/no-go release criteria, monitor support metrics, and route high-impact incidents to PMs and engineers.