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Company	Zitara Technologies
Short Description	Developer of deep learning, and time fleet management solutions to improve lithium battery safety and longevity for enterprise customers
Status	Private
Year Founded	2019
Industry Group	transportation & logistics
Sector	fleet management
TRL Range	4-6
Country	United States
Nbr Employees	1-10
Revenue Range	Pre-revenue
Total Equity Capital Raised	$30.9M
Last Stage Capital Raised	Series A round of $17M 2024
Investors	NextView Ventures, Google, Energy Impact Partners, Trucks Venture Capital, Collaborative Fund, Climate Capital, Salesforce Ventures, Emerson Ventures, Chevron Technology Ventures

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Zitara Technologies

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Short description

Developer of deep learning, and time fleet management solutions to improve lithium battery safety and longevity for enterprise customers

Founded in 2019

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Company type Private Public ()

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Industry Group transportation & logistics

Sector fleet management

TRL Range 4-6

TRL 1	Basic research
TRL 2	Technology formulation
TRL 3	Applied research
TRL 4	Small scale prototype
TRL 5	Large scale prototype
TRL 6	Prototype system
TRL 7	Demonstration system
TRL 8	First of a kind commercial system
TRL 9	Full commercial application

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Headquarters San Francisco, CA San Francisco, United States

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Updated by at on 03/28/2025

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Shyam Srinivasan

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4 financing events

12 investors

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Date	Investors	Type	Amount
	Can't find an investor? Add an investor Valuation Description 400/400 characters left Related press release or article about this deal Cancel Save
12/05/2024	Salesforce Ventures Salesforce Ventures , Emerson Ventures Emerson Ventures , Chevron Technology Ventures Chevron Technology Ventures , Energy Impact Partners Energy Impact Partners , Climate Capital Climate Capital (5) Post-money valuation of The funding will be used to deepen relationships and business development efforts with customers, strengthen partnerships with battery manufacturers and system integrators, and expand engineering capabilities to accelerate product development, and enhance AI and machine learning capabilities for more advanced battery optimization (source)	Series A	$17,000,000	Delete

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Developer of deep learning, and time fleet management solutions to improve lithium battery safety and longevity for enterprise customers

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