Plumbr

Plumbr

Changing the way software is developed - and making software engineers more efficient in the process!.

HQ location
New York City, United States
Website
Launch date
Employees
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DateInvestorsAmountRound
investor

€0.0

round

N/A

Early VC
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-(83 %)
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about Plumbr
Made with AI
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Plumbr.ai, founded in 2021 and based in Brooklyn, United States, operated as a provider of a machine learning model deployment solution. The company participated in the Y Combinator accelerator program, which is known for its significant focus on AI-driven startups. Plumbr.ai secured funding from institutional investor Soma Capital.

The firm's platform was designed to help software developers discover bugs more efficiently, with the company stating it could lead to a developer productivity increase of over 30%. It provided a data observability graph and an engine that allowed users to integrate, build, and debug models using tools such as Looker, Tableau, Salesforce, and Grafana. The team behind Plumbr.ai included individuals with experience from companies like Tesla, Major League Baseball, Stripe, and Facebook. Specifically, the team was noted as being the same one behind Autopilot Maps at Tesla Motors.

The company's product mapped everything from function calls to APIs, aiming to provide a comprehensive solution for developers. It served a client base that included developers at Fortune 100, 500, and 1000 companies. According to Tracxn, Plumbr is a deadpooled company.

Keywords: Plumbr.ai, bug discovery, developer productivity, machine learning deployment, data observability, model debugging, Y Combinator, Soma Capital, software development tools, API monitoring, function call mapping, Tesla Autopilot Maps team, developer tools, bug tracking, code analysis, software engineering, application performance, devops, CI/CD, software quality

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