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DataAgent develops AI agents for investigating production incidents, connecting operational signals and system context to help engineering teams identify and address software faults.

Introduce me to DataAgent
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Founders & company facts

Sources reviewed:

Reported cumulative funding

$10,000,000 · Source

This index includes companies with publicly reported total funding up to US$150 million. This is a reported total, not valuation, the latest round size or confirmation of an open round. Funding reviewed: .

Documented founding team

No confirmed founder names are included in this profile.

Founded
Not confirmed
Reported Israeli location
Not confirmed
Team range in directory
Not confirmed
Reported business model
Not confirmed

Selected disclosed financing

Selected transactions, with dates, funding types and reported participants.

Individual financing rounds have not been documented in this profile. A reported total is shown above when available.

Company overview

Product & customers

DataAgent develops AI agents for investigating production incidents, connecting operational signals and system context to help engineering teams identify and address software faults.

Commercial potential · editorial analysis

For DataAgent, the commercial question is how production incident response supports paying customers over time. The opportunity involves making a recurring organisational workflow easier to operate and maintain. A review should distinguish trials from paid adoption and examine the support and delivery work required as usage expands.

What to validate

When assessing DataAgent, diligence should cover system permissions, auditability, integration effort, data access and ownership of decisions made with automated assistance. Prospective users should ask for evidence from settings comparable to their own, including unsuccessful cases and costs, before drawing conclusions about deployment suitability.

Product source reviewed on . Company source

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