Startup profile · funding coverage
NeuBird AI funding, valuation and investors
AI operations and SRE platform with Hawkeye for diagnosing enterprise infrastructure issues using existing telemetry.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Seed
$22M led by Mayfield · April 29, 2024
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$22M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
seed · United States
Overview
NeuBird AI develops Hawkeye, an AI ITOps/SRE assistant aimed at diagnosing complex enterprise application and infrastructure faults. Co-founder Goutham Rao announced a $22M seed round led by Mayfield in April 2024 to develop AI-native operational assistance. The platform ingests or queries operational context across environments and returns diagnosis and remediation guidance.
Customers should verify which telemetry remains in their own systems, permissions to act, and time-to-diagnosis under real incidents. No subsequent financing is stated here without independently verified primary disclosure.
Why NeuBird AI is interesting
NeuBird's $22M seed and early emphasis on operational data integrations show alternative AI SRE architectures that rely on existing signal stores instead of replacing observability platforms.
Product & use cases
Hawkeye AI ITOps engineer for monitoring, incident diagnosis, root-cause investigation and response suggestions.
- Diagnose production faults across telemetry platforms
- Explain changes linked to enterprise incidents
- Accelerate SRE investigation without replacing the monitoring stack
Funding history (newest first)
Seed
2024-04-29 $22M led by MayfieldSource: Read source · neubird.ai
Investors in our directory
Funds linked from NeuBird AI's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Dedicated focus on operational investigation from existing enterprise signals, with a relatively early disclosed funding stage.
The closest alternatives differ by whether they investigate existing telemetry, orchestrate incidents, evaluate AI agent behavior, or prevent adversarial exploitation. Selection should be based on representative task-level tests, deployment permissions, data control and total ownership cost.
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Traversal direct
Causal reasoning AI SRE
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Resolve AI direct
AI for production
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Causely direct
Causal AI root-cause analysis
Industries
Market / IPO context
Editorial / static context — not a live quote.
FAQs about NeuBird AI
Practical answers founders, operators, and investors typically search for.
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