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WhyLabs

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uuid00003qz

Namestring
WhyLabs
Legal namestring
WhyLabs, Inc.
Websiteurl
whylabs.ai
Company typeenum
Private
Founded yearint
2019
Descriptiontext

WhyLabs, Inc. was a Seattle-based AI observability company founded in 2019 that built monitoring tools for AI and machine learning applications in production. Its core commercial offering, the AI Observatory platform, provided visibility into data quality and model health, including capabilities for detecting data drift, tracking model performance, and supporting responsible AI operations. The company complemented this platform with two open-source projects: whylogs, an open standard for privacy-preserving data logging that supports tabular, relational, and time-series data, and langkit, an open source toolkit for monitoring and securing large language models while preserving privacy.

WhyLabs operated a dual go-to-market combining a product-led growth motion (a free self-serve tier for individual developers and small teams) with an enterprise sales motion for larger deployments, supported by subscription-based pricing with custom enterprise contracts. Its primary customer segment was AI/ML teams and data organizations deploying AI applications horizontally across use cases, and it built awareness through the "Robust and Responsible AI" community that drew thousands of participants. The company raised a $4 million early-stage round in September 2020 (led by Madrona) and a $10 million Series A in November 2021 (co-led by Defy Partners and Andrew Ng's AI Fund, with participation from Bezos Expeditions). WhyLabs was acquired by Apple in 2025 as part of Apple's broader AI strategy; following the acquisition, the company discontinued operations and open-sourced its complete platform stack to the community.

Short descriptiontext

WhyLabs built an AI observability platform (AI Observatory) with open-source tools whylogs and langkit to monitor data quality, model health, and LLM behavior for AI/ML teams deploying production AI systems.

Operating statusenum
Closed
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSeattle, United States
HQ citystring
Seattle
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI observability, ML monitoring, LLM security, data logging, model health
Industry3 codes
1Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies)
CodeHDAEANAEPrimaryYes
2Audit, Explainability & Accountability Tooling (traceability, reporting)
CodeHDAAAKALPrimaryNo
3AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety)
CodeHDAEANAFPrimaryNo
NAICS code1 code
  • Software Publishers513210
Product category
AI Observability Platform
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1AI Observability SaaS Platform
TypeSubscription Recurring
Description

Subscription-based SaaS model offering AI observability and monitoring services for enterprises deploying AI applications

businesswire.com
Marketing channels1 record

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Pricing details2 tiers
1Free self-serve tier
ModelFreemiumBilling cadencePay-as-you-go
Notes

Free tier available for self-serve usage enabling developers to try the platform

vcaonline.com
2Enterprise tier
ModelSubscriptionBilling cadenceAnnual
Notes

Enterprise plans with custom pricing for larger deployments

businesswire.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

WhyLabs provided an AI Control Center / AI Observatory platform that delivered security and observability for AI and GenAI applications. The SaaS platform monitored data quality, model performance, and AI application health in production, complemented by the open-source whylogs library (privacy-preserving data logging standard) and langkit library (LLM monitoring toolkit).

Differentiator
Functional benefit
Problem solved
Product overview1 text field

WhyLabs offered a unified AI Observability platform (AI Observatory) for monitoring data and model health in AI applications, complemented by two open source libraries: whylogs (open standard for privacy-preserving data logging) and langkit (LLM monitoring toolkit). The company has since discontinued operations and open-sourced the complete platform.

Product and service2 records
1AI Observatory Platform
CategoryAI Observability SaaS
Description

AI Observability SaaS platform that monitors data and model health for AI applications, providing monitoring tools for AI and data application monitoring. Targeted at AI/ML teams and data organizations deploying production AI systems.

2whylogs
Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierCoreTypeOthers
Description

Apple acquired WhyLabs in 2025 as part of its strategy to strengthen AI and platform capabilities, acquiring specialized AI monitoring and observability technology.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Datadog is a broad observability and monitoring incumbent that has added AI/ML and LLM-specific monitoring capabilities, competing with WhyLabs from a much larger platform with extensive enterprise reach.

TypeDirect peer
Description

Comet provides an ML platform covering experiment tracking, model monitoring, and production observability, serving the same ML engineering and data science teams that WhyLabs targeted.

TypeDirect peer
Description

Aporia provides ML observability with model monitoring, drift detection, and customizable guardrails, serving the same AI/ML platform teams as WhyLabs.

TypeDirect peer
Description

Helicone focuses specifically on LLM observability, providing logging, monitoring, and evaluation tooling for GenAI applications — a peer in the LLM-specific subset of WhyLabs' market.

TypeDirect peer
Description

Arize AI provides an AI observability and evaluation platform for ML and LLM applications, directly competing with WhyLabs on model monitoring, drift detection, and production AI troubleshooting for similar ML/AI engineering buyers.

TypeDirect peer
Description

Evidently AI provides open-source and cloud tooling for ML model monitoring, drift detection, and data quality — a directly comparable observability stack targeting similar AI engineering personas.

TypeDirect peer
Description

Fiddler AI offers an AI observability and model performance monitoring platform with explainability and responsible AI tooling — a near-direct peer targeting the same AI/ML engineering and governance buyer.

TypeDirect peer
Description

Monte Carlo is a leader in data observability with overlap into ML model reliability; comparable to WhyLabs on the data health and pipeline monitoring dimension of the AI Observability stack.

TypeDirect peer
Description

Superwise offers an AI observability platform for production ML models, covering model health, drift, and bias monitoring — closely comparable to WhyLabs' AI Observatory offering.

TypeBroad incumbent
Description

New Relic is an established observability platform expanding into AI application monitoring; it competes with WhyLabs as a broad incumbent offering AI features as part of a larger APM portfolio.

Market position
Strengths3 records

Each record includes

Headline, Details, Source

Weaknesses3 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment1 record

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability4 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature3 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors6 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

WhyLabs

AI Observability Platformwhylabs.ai

WhyLabs built an AI observability platform (AI Observatory) with open-source tools whylogs and langkit to monitor data quality, model health, and LLM behavior for AI/ML teams deploying production AI systems.

What WhyLabs does

WhyLabs, Inc. was a Seattle-based AI observability company founded in 2019 that built monitoring tools for AI and machine learning applications in production. Its core commercial offering, the AI Observatory platform, provided visibility into data quality and model health, including capabilities for detecting data drift, tracking model performance, and supporting responsible AI operations. The company complemented this platform with two open-source projects: whylogs, an open standard for privacy-preserving data logging that supports tabular, relational, and time-series data, and langkit, an open source toolkit for monitoring and securing large language models while preserving privacy.

WhyLabs operated a dual go-to-market combining a product-led growth motion (a free self-serve tier for individual developers and small teams) with an enterprise sales motion for larger deployments, supported by subscription-based pricing with custom enterprise contracts. Its primary customer segment was AI/ML teams and data organizations deploying AI applications horizontally across use cases, and it built awareness through the "Robust and Responsible AI" community that drew thousands of participants. The company raised a $4 million early-stage round in September 2020 (led by Madrona) and a $10 million Series A in November 2021 (co-led by Defy Partners and Andrew Ng's AI Fund, with participation from Bezos Expeditions). WhyLabs was acquired by Apple in 2025 as part of Apple's broader AI strategy; following the acquisition, the company discontinued operations and open-sourced its complete platform stack to the community.

WhyLabs firmographics

Firmographics
Name
WhyLabs
Legal name
WhyLabs, Inc.
Website
https://whylabs.ai
Company type
Private
Founded year
2019
Operating status
Closed
Headcount range
11–50 employees
Short description
WhyLabs built an AI observability platform (AI Observatory) with open-source tools whylogs and langkit to monitor data quality, model health, and LLM behavior for AI/ML teams deploying production AI systems.
Ownership category
akta.pro rank

WhyLabs industry classification

Industry
Product category
AI Observability Platform
NAICS
Software Publishers (513210)
akta.pro primary industry
Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE)
akta.pro secondary industries
Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

Keywords

  • AI observability
  • ML monitoring
  • LLM security
  • Data logging
  • Model health

Where WhyLabs is headquartered

Location

Headquarters

HQ city
Seattle
HQ country
United States
HQ region
North America

Offices1 record

Markets served

WhyLabs business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

  1. AI Observability SaaS Platform: Subscription-based SaaS model offering AI observability and monitoring services for enterprises deploying AI applications

Pricing tiers

ModelBillingPrice
FreemiumPay-as-you-goFree self-serve tier
SubscriptionAnnualEnterprise tier

Go-to-market motion2 records

Distribution channels2 records

Marketing channels1 record

WhyLabs product offering

Product offering

Core offering

WhyLabs provided an AI Control Center / AI Observatory platform that delivered security and observability for AI and GenAI applications. The SaaS platform monitored data quality, model performance, and AI application health in production, complemented by the open-source whylogs library (privacy-preserving data logging standard) and langkit library (LLM monitoring toolkit).

Product overview

WhyLabs offered a unified AI Observability platform (AI Observatory) for monitoring data and model health in AI applications, complemented by two open source libraries: whylogs (open standard for privacy-preserving data logging) and langkit (LLM monitoring toolkit). The company has since discontinued operations and open-sourced the complete platform.

Differentiator

Problem solved

Functional benefit

Products and services

  • AI Observatory Platform AI Observability SaaS platform that monitors data and model health for AI applications, providing monitoring tools for AI and data application monitoring. Targeted at AI/ML teams and data organizations deploying production AI systems.
  • whylogs

Companies that use WhyLabs

Customer profile

Segments1 record

Ideal customer profiles1 record

WhyLabs technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature3 records

WhyLabs partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • ApplecoreOthersApple acquired WhyLabs in 2025 as part of its strategy to strengthen AI and platform capabilities, acquiring specialized AI monitoring and observability technology.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

WhyLabs competitors and assessment

Company assessment

Broad incumbents

  • Datadog: Datadog is a broad observability and monitoring incumbent that has added AI/ML and LLM-specific monitoring capabilities, competing with WhyLabs from a much larger platform with extensive enterprise reach.
  • New Relic: New Relic is an established observability platform expanding into AI application monitoring; it competes with WhyLabs as a broad incumbent offering AI features as part of a larger APM portfolio.

Direct peers

  • Comet: Comet provides an ML platform covering experiment tracking, model monitoring, and production observability, serving the same ML engineering and data science teams that WhyLabs targeted.
  • Aporia: Aporia provides ML observability with model monitoring, drift detection, and customizable guardrails, serving the same AI/ML platform teams as WhyLabs.
  • Helicone: Helicone focuses specifically on LLM observability, providing logging, monitoring, and evaluation tooling for GenAI applications — a peer in the LLM-specific subset of WhyLabs' market.
  • Arize AI: Arize AI provides an AI observability and evaluation platform for ML and LLM applications, directly competing with WhyLabs on model monitoring, drift detection, and production AI troubleshooting for similar ML/AI engineering buyers.
  • Evidently AI: Evidently AI provides open-source and cloud tooling for ML model monitoring, drift detection, and data quality — a directly comparable observability stack targeting similar AI engineering personas.
  • Fiddler AI: Fiddler AI offers an AI observability and model performance monitoring platform with explainability and responsible AI tooling — a near-direct peer targeting the same AI/ML engineering and governance buyer.
  • Monte Carlo Data: Monte Carlo is a leader in data observability with overlap into ML model reliability; comparable to WhyLabs on the data health and pipeline monitoring dimension of the AI Observability stack.
  • Superwise: Superwise offers an AI observability platform for production ML models, covering model health, drift, and bias monitoring — closely comparable to WhyLabs' AI Observatory offering.

Market position

Strengths3 records

Weaknesses3 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

WhyLabs social profiles

Digital presence

WhyLabs financial estimates

Financial estimate

Revenue estimate

Valuation estimate

WhyLabs leadership team

Management profile

Number of profiles

Profiles1 record

WhyLabs funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

WhyLabs M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about WhyLabs

What does WhyLabs do?

WhyLabs provided an AI Control Center / AI Observatory platform that delivered security and observability for AI and GenAI applications. The SaaS platform monitored data quality, model performance, and AI application health in production, complemented by the open-source whylogs library (privacy-preserving data logging standard) and langkit library (LLM monitoring toolkit).

Is WhyLabs a public or private company?

WhyLabs is a private company. It is classified as corporate owned and is currently closed.

When was WhyLabs founded?

WhyLabs was founded in 2019. It employs 11 to 50 people.

Where is WhyLabs based?

WhyLabs is headquartered in Seattle, United States, in the North America region.

How does WhyLabs make money?

One revenue line is on record: AI Observability SaaS Platform.

Who are WhyLabs's main competitors?

Broad incumbents on record are Datadog and New Relic. Direct peers are Comet, Aporia, Helicone, Arize AI, Evidently AI, Fiddler AI, Monte Carlo Data and Superwise.

Does WhyLabs have an API?

No public API is recorded for WhyLabs.

What industry is WhyLabs in?

WhyLabs's product category is AI Observability Platform. Its primary akta.pro industry code is HDAEANAE, Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies), with a secondary code of HDAAAKAL, Audit, Explainability & Accountability Tooling (traceability, reporting). Its NAICS code is 513210.

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Live signals
ModulosAI governance tools: the 2026 enterprise buyer’s guideThis buyer's guide evaluates 22 AI governance tool vendors across five segments—policy/compliance/GRC, observability/monitoring, runtime enforcement, red-teaming, and enterprise incumbents—assessing their capabilities against the EU AI Act, ISO/IEC 42001, NIST AI RMF, and GDPR frameworks. The guide identifies cross-framework deduplication, monetary risk quantification, immutable audit trails, evidence automation, and agent governance as the critical evaluation criteria for enterprise procurement. Key market developments include WhyLabs' acquisition by Apple and Protect AI's acquisition by Palo Alto Networks, both reducing independent vendor options in the AI governance landscape.Paulserban5 Best Model Monitoring Tools to Combat AI Drift in 2026This article is a technical buyers guide reviewing five production-grade model monitoring tools for machine learning systems: Arize AI, Fiddler AI, Evidently AI, AWS SageMaker Model Monitor, and WhyLabs. The article explains the problem of AI model drift, where ML model performance degrades as real-world data distributions diverge from training data, and evaluates each tool's approach to drift detection, explainability, scalability, and integration complexity. It provides code examples, pricing considerations, and recommendations for matching tool selection to organizational infrastructure, scale requirements, and regulatory constraints.GalileoBest LLMOps Platforms for Scaling Generative AIThis article presents a comparative review of seven leading LLMOps platforms—Galileo, LangSmith, Weights & Biases, MLflow on Databricks, Arize AI, WhyLabs, and Vellum—designed to help enterprises scale generative AI applications in production environments. The platforms address critical operational challenges including hallucination detection (linked to $67 billion in business losses in 2024), token-level cost optimization, and semantic observability that traditional monitoring tools cannot provide. According to cited research, 42% of companies abandoned AI initiatives in 2024-2025, while Gartner forecasts 40% of enterprise applications will feature AI agents by 2026, driving demand for purpose-built LLM operations infrastructure.BenzingaWas Jeff Bezos-Backed WhyLabs Secretly Acquired By Apple After $10M Series A To Compete In AI Arms Race AApple has reportedly secretly completed the acquisition of WhyLabs, a Seattle-based AI startup specializing in real-time monitoring and security for generative AI applications, according to GeekWire. The deal, which has not been officially confirmed by either party, is suggested by multiple signals including a former partner listing the acquisition on LinkedIn and AI Fund updating WhyLabs' portfolio entry to indicate a 2025 acquisition. WhyLabs, which was spun out of the Allen Institute for AI in 2019, raised a $10 million Series A in 2021 at a $37 million valuation backed by Jeff Bezos's venture arm and Andrew Ng's AI Fund.SiliconANGLEWhyLabs releases open-source LangKit toolkit for monitoring large language models - SiliconANGLEWhyLabs released LangKit, an open-source toolkit for monitoring large language models for safety issues. The Seattle-based company, backed by $14 million from investors including Madrona Venture Group and Bezos Expeditions, can detect hallucinations, toxic output, and data leaks. It also tracks usability and alerts on malicious prompts.VC News DailyWhyLabs Raises $10M Series A RoundWhyLabs, a Seattle-based provider of AI and data application observability solutions, has closed a $10 million Series A funding round co-led by Defy Partners and Andrew Ng's AI Fund, with participation from Madrona Venture Group and Bezos Expeditions. The company, which was incubated at the Allen Institute for AI, helps teams monitor and improve AI applications without manual tasks. This funding round signals continued investor interest in AI infrastructure and observability tools.TechCrunchWhyLabs raises $10M Series A for its AI observability platformWhyLabs raised a $10 million Series A round co-led by Defy Partners and Andrew Ng's AI Fund, with participation from Madrona Venture Group and Bezos Expeditions. The startup's AI observability platform monitors ML model health and data pipelines, and the company plans to use the funds to expand engineering and go-to-market teams.Venture Capital Access OnlineWhyLabs Raises $10M from Andrew Ng, Defy Partners To Bring AI Observability To Every AI PractitionerWhyLabs, a Seattle-based AI observability SaaS platform, announced a $10 million Series A co-led by Defy Partners and Andrew Ng's AI Fund, with participation from Madrona Venture Group and Bezos Expeditions. The company said it will use the funds to meet demand, expand capabilities, scale operations and hire. AI Observatory is free and self-serve, with over a dozen organizations onboarded in its first week.Business Wire BlogWhyLabs Raises $10M from Andrew Ng, Defy Partners To Bring AI Observability To Every AI PractitionerWhyLabs announced the closing of a $10 million Series A funding round co-led by Defy Partners and Andrew Ng’s AI Fund, with participation from Madrona Venture Group and Bezos Expeditions. The company simultaneously launched its AI Observatory platform as a free, self-serve SaaS solution for monitoring data and model health in AI applications. This investment will support the expansion of platform capabilities and operations to meet growing demand for AI observability tools.TechCrunchWhyLabs brings more transparency to ML opsWhyLabs, a machine learning startup spun out of the Allen Institute, has emerged from stealth to focus on ML operations after model training, specifically monitoring and tracking data quality. The company announced a $4 million seed funding round from Madrona Venture Group, Bezos Expeditions, Defy Partners, and Ascend VC. Founded by former Amazon machine learning engineers Alessya Visnjic, Sam Gracie, and Andy Dang, along with Madrona principal Maria Karaivanova, WhyLabs is building observability tools including an open-source logging platform called WhyLogs.