Startup profile for Fiddler AI: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Fiddler AI funding, valuation and investors

Enterprise AI model and agent evaluation, explainability and production observability platform; subject to a November 2026 CrowdStrike acquisition agreement.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series C

$30M · January 27, 2026

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$94M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

growth · Palo Alto, CA, United States

Sources: latest funding · fiddler.ai Last verified: 2026-11-05

Overview

Fiddler AI, founded in 2018 by Krishna Gade and Amit Paka in Palo Alto, builds enterprise AI model and agent observability, explainability, evaluation and governance. Its evolution from predictive model monitoring to autonomous agent tracing underpins CrowdStrike's November 3, 2026 agreement to acquire it for a media-reported ~$400M; official consideration is undisclosed and closing is anticipated in CrowdStrike's fiscal Q4 2027.

Financing includes $3M seed (2018), $10.2M Series A (2019), undisclosed Lockheed/Amazon investments (2020), $32M Series B (2021), Mozilla/Dentsu strategic backing (2023), $18.6M Series B-Prime (2024) and $30M Series C led by RPS (January 2026). The 2024 syndicate included Cisco, Samsung NEXT, Capgemini/ISAI, Dallas VC, Alpha Square and Essence.

Fiddler reported approximately $100M cumulatively, including undisclosed strategic contributions; proposed Falcon Observe does not itself guarantee runtime enforcement.

Why Fiddler AI is interesting

CrowdStrike agreed in November 2026 to acquire Fiddler for a price The Wall Street Journal reported at roughly $400M. The fit broadens AI agent security beyond runtime enforcement into evaluation, explainability and observability, but the announced acquisition was not yet closed and the buyer did not publish the consideration.

Product & use cases

Fiddler AI delivers evaluation, explainability and monitoring for production AI systems. Functionality spans conventional ML model monitoring, generative-model quality and safety evaluation, agent tracing and operational AI trust workflows. CrowdStrike intends to incorporate these capabilities into its Falcon AI security offering.

  • Evaluating LLM and AI agent outputs for quality, bias and safety before deployment
  • Tracing multi-step agent decisions and analyzing behavior in production
  • Detecting model drift, shifts in data distributions and unexpected model behavior
  • Providing evidence for AI governance and internal risk review

Key facts

  • November 3, 2026: CrowdStrike signed an acquisition agreement; WSJ reported roughly $400M price, but closing and exact consideration were unconfirmed.
  • January 27, 2026: $30M Series C led by RPS Ventures; company reported $100M cumulative funding.
  • Earlier rounds: $3M seed (2018), $10.2M Series A (2019), $32M Series B (2021), $18.6M Series B-Prime (2024).
  • Additional strategic investment announcements in 2020 and 2023 do not all disclose individual amounts.

Funding history (newest first)

Dentsu Ventures strategic investment

2023-07-07 Undisclosed

Source: Read source · group.dentsu.com

Mozilla Ventures strategic investment

2023-06-01 Undisclosed

Source: Read source · blog.mozilla.org

Amazon Alexa Fund strategic investment

2020-08-25 Undisclosed

Source: Read source · prnewswire.com

Lockheed Martin Ventures strategic investment

2020-08-12 Undisclosed

Source: Read source · prnewswire.com

Competitive landscape

Edge: Fiddler built model monitoring and explainability before the generative AI boom, giving it a lineage in ML governance. Its agent observability expansion places it against developer-first tracing systems and broader AI security platforms; depth, integration cost and verified security controls vary.

A vendor-observability market analysis should distinguish open telemetry from software-specific dashboards, the price of traces/evaluations, the size of production datasets, privacy/data residency, cross-platform instrumentation and whether safety violations are blocked or merely observed. Fiddler's CrowdStrike strategic fit rests on connecting agent evaluation and visibility to enterprise threat detection.

  • Arize AI direct

    AI and agent observability, evaluations and Phoenix instrumentation.

  • Langfuse direct

    Open-core LLM traces, prompt management and evaluation.

  • LangSmith direct

    LangChain ecosystem tracing, evaluations and agent observability.

  • Galileo direct

    LLM evaluation and observability; acquired by Cisco in 2026.

  • Braintrust direct

    Developer-focused evaluation and experiment platform.

  • WhyLabs direct

    Model monitoring and AI observability.

  • Comet Opik direct

    LLM/agent observability and evaluation.

  • Noma Security adjacent

    AI/agent security lifecycle with runtime posture and risk signals.

Industries

Market / IPO context

Editorial / static context — not a live quote.

FAQs about Fiddler AI

Practical answers founders, operators, and investors typically search for.

CrowdStrike announced an agreement to acquire Fiddler on November 3, 2026; as of November 5 closing was not confirmed. The approximately $400M price comes from media reporting.
Fiddler reported approximately $100M cumulatively following its $30M January 2026 Series C. Separately disclosed priced rounds total approximately $93.8M, excluding strategic investments with undisclosed sizes.
Fiddler focuses on model/agent evaluations, explainability, observability and AI trust monitoring. Monitoring may detect unsafe behavior but does not inherently equal preventive runtime enforcement or adversarial security testing.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.