Cleanlab
Cleanlab provides an AI reliability platform that detects and remediates hallucinations, retrieval errors, and knowledge gaps in large language model outputs in real time, serving Fortune 500 enterprises deploying customer-facing and internal AI agents across financial services, healthcare, technology, and government sectors.
- Company typePrivate
- Founded2021
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Cleanlab does
Cleanlab is a San Francisco-based AI reliability company, founded in 2021 by three MIT Computer Science PhDs (Curtis Northcutt, Jonas Mueller, Anish Athalye), that builds software to detect and remediate incorrect outputs from AI agents and large language models. Its platform, branded as Cleanlab Codex, consists of two primary modules: Detect, which applies real-time trust scoring to identify hallucinations, retrieval errors, documentation gaps, policy violations, and malicious responses, and Remediate, a human-in-the-loop workflow that lets non-technical subject-matter experts correct AI behavior without engineering involvement. The proprietary Trustworthy Language Model (TLM) underpins detection by combining self-reflection, consistency checks, and probabilistic measures, with claimed benchmark superiority (AUROC 0.91 for hallucination detection; 34% precision/recall improvement over alternatives). An open-source Python package, downloaded over 1 million times, implements the founders' Confident Learning research and serves as the top-of-funnel for the enterprise product.
Cleanlab firmographics
Firmographics- Name
- Cleanlab
- Legal name
- Cleanlab Inc.
- Website
- https://cleanlab.ai
- Company type
- Private
- Founded year
- 2021
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- Cleanlab provides an AI reliability platform that detects and remediates hallucinations, retrieval errors, and knowledge gaps in large language model outputs in real time, serving Fortune 500 enterprises deploying customer-facing and internal AI agents across financial services, healthcare, technology, and government sectors.
- Ownership category
- akta.pro rank
Cleanlab industry classification
Industry- Product category
- AI Reliability Software
- NAICS
- Security Systems Services (except Locksmiths) (561621)
- SIC
- Services-Computer Programming Services (7371)
- akta.pro primary industry
- Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)
- akta.pro secondary industries
- Human Oversight, Review & Content Moderation Tooling (HDAAAMAH), Safety & Alignment Evaluation (red-teaming, harmful capability testing) (HDAAAMAL)
Keywords
Where Cleanlab is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Cleanlab business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Enterprise Software Subscriptions: Enterprise customers pay for Cleanlab Studio and Codex platform subscriptions. Pricing is quote-based with tiered plans based on usage volume and feature requirements. Multi-tenant SaaS, single-tenant SaaS, and self-managed VPC options available.
- Open-Source Platform: Free open-source package provides limited Python API access for data quality detection. Drives adoption and conversion to enterprise paid tiers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Open-source free tier with limited Python API access |
| Subscription | Annual | Enterprise tier with full platform access, dedicated support, and advanced features |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Cleanlab product offering
Product offeringCore offering
Cleanlab provides an AI reliability platform (Cleanlab Codex) that detects and remediates incorrect responses from AI agents in real time, ensuring outputs meet standards for safety, compliance, and trust. The platform combines a proprietary Trustworthy Language Model (TLM) for trust scoring with Detect (real-time hallucination, retrieval, and policy violation guardrails) and Remediate (human-in-the-loop correction by non-technical SMEs) modules, deployable as SaaS or VPC alongside an open-source Python package for data-centric AI.
Product overview
Cleanlab offers an AI reliability platform consisting of two primary modules: Detect (for real-time error detection) and Remediate (for human-in-the-loop correction), unified through the Codex analytics dashboard. The platform scores trustworthiness of LLM outputs using the proprietary Trustworthy Language Model (TLM), which provides per-field scoring for structured outputs and automated explanations. An open-source Python package enables data-centric AI for individual developers, while enterprise customers access the full platform via SaaS or VPC deployment. The product serves both customer-facing AI agents and employee-facing AI applications, with trust scores enabling escalation to human reviewers when confidence is low.
Differentiator
Problem solved
Functional benefit
Products and services
- Cleanlab Platform (Codex) Enterprise AI reliability platform that detects and remediates incorrect responses from AI agents, ensuring every output meets standards for safety, compliance, and trust. Consists of Detect and Remediate modules unified through the Codex analytics dashboard. Sold as multi-tenant SaaS, single-tenant SaaS, or self-managed VPC deployment to enterprise customers.
- Cleanlab Detect Real-time detection module that automatically identifies and prevents poor responses from AI agents with guardrails for hallucinations, retrieval errors, documentation gaps, policy violations, and malicious use. Delivers trust scores to decide when to respond confidently or escalate to human agents. Sold to enterprise customers as part of the Cleanlab Platform.
- Cleanlab Remediate Human-in-the-loop workflow module that empowers non-technical SMEs to apply expert answers instantly to improve AI agents in production. Includes automatic grouping and prioritization of high-impact failures, instant answer application without retraining, and tracking of all user queries. Sold to enterprise customers as part of the Cleanlab Platform.
- TLM (Trustworthy Language Model) Real-time LLM uncertainty estimator API that scores trustworthiness of responses from any LLM using proprietary methods including self-reflection, consistency checking, and probabilistic measures. Supports structured outputs with per-field trust scores and automated explanations for low-confidence outputs. Available via Python API and enterprise deployment.
- Cleanlab Open-Source Package Free open-source Python package for data-centric AI, the most downloaded package of its kind. Implements confident learning algorithms to detect label errors, handle noisy labels, and improve ML models. Supports image, text, tabular, audio, and PDF data formats with over one million downloads.
- Customer AI Agents Solution Solution module for deploying reliable AI agents in customer-facing applications. Provides pre-qualified leads, guided applications, and issue resolution with trust scoring, policy checks, and escalation logic. Achieves 30% greater customer conversions and 66% more issues resolved by AI. Sold to enterprise customers as part of the Cleanlab Platform.
Quantifiable outcome
- 34% better precision/recall than other methods for detecting incorrect LLM responses
- +7 more outcomes
Companies that use Cleanlab
Customer profileNamed customers14 records
Segments4 records
Ideal customer profiles3 records
Cleanlab technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability9 records
Feature6 records
Cleanlab partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core.
- NVIDIA NeMo GuardrailscoreIntegration with NVIDIA NeMo Guardrails to prevent hallucinations and steer AI agents using Cleanlab's step-by-step confidence scoring. Joint technical integration documented on NVIDIA developer blog.
- LangChaincoreOrchestrate multi-step LLM chains with confidence-aware tool calls and routing. Cleanlab integrated with LangChain for AI agent orchestration reliability.
- LlamaIndexcoreInject Cleanlab's scoring into vector queries for higher-precision retrieval. Integration for RAG knowledge base reliability.
- Amazon (AWS)coreAWS integration for Cleanlab deployment. Customer of Cleanlab for AI data quality. Part of Fortune 500 customer base.
- Google CloudcoreGoogle Cloud integration for Cleanlab deployment. Customer of Cleanlab. Partner in AI ecosystem.
- Microsoft AzurecoreAzure integration for Cleanlab deployment. Enterprise cloud partnership.
- SalesforcecoreSalesforce integration for Cleanlab deployment. Customer and integration partner.
- ServiceNowcoreServiceNow integration for Cleanlab deployment. Enterprise workflow automation partnership.
- OpenAIcoreOpenAI integration for trust scoring. Cleanlab TLM uses OpenAI models for trust evaluation.
- AnthropiccoreAnthropic integration for trust scoring. Cleanlab TLM supports Anthropic models.
Scale indicators14 records
Recent moves7 records
Expansion highlights6 records
Cleanlab competitors and assessment
Company assessmentDirect peers
- LangChain (LangSmith): LangSmith provides LLM application observability, evaluation, and debugging tools that overlap with Cleanlab's detection and remediation capabilities. Cleanlab integrates with LangChain but LangSmith is a direct competitor in LLM evaluation.
- WhyLabs: AI observability and LLM safety platform that monitors production AI systems for drift, hallucinations, and quality issues. Directly comparable to Cleanlab's Detect module and serves enterprise customers deploying LLM-powered applications.
- Fiddler AI: ML model monitoring, explainability, and AI governance platform. Comparable to Cleanlab's trust scoring and responsible AI positioning, particularly for regulated industries requiring model accountability and audit trails.
- Patronus AI: AI evaluation and safety platform focused on LLM testing, hallucination detection, and production monitoring. Directly competes with Cleanlab in providing trust scoring, automated evaluation, and guardrails for enterprise LLM applications.
- Galileo: Provides LLM evaluation, observability, and guardrail tooling for AI applications in production. Competes head-to-head with Cleanlab in hallucination detection, trust scoring, and RAG reliability for enterprise AI deployments.
- Arize AI: Provides AI observability and LLM evaluation/tracing for production AI applications. Directly competes with Cleanlab in AI agent monitoring, hallucination detection, and trust scoring, with overlapping integration partnerships with LangChain and LlamaIndex.
Broad incumbents
- Weights & Biases: ML experiment tracking, model monitoring, and AI platform serving enterprise ML teams. Adjacent competitor with overlapping capabilities in ML observability and model evaluation that increasingly intersect with Cleanlab's reliability positioning.
- Datadog: Large-scale observability platform that has expanded into LLM monitoring and AI workload monitoring with Datadog LLM Observability. Competes broadly with Cleanlab in production AI monitoring for enterprise customers.
Emerging players
- Giskard: Open-source AI testing and evaluation platform focused on LLM quality, bias detection, and RAG system reliability. Emerging competitor in the same AI quality and safety space as Cleanlab with strong open-source community presence.
- Confident AI (DeepEval): Open-source LLM evaluation framework with hallucination, bias, and reliability metrics. Emerging competitor addressing similar use cases as Cleanlab TLM, particularly for developers building RAG and AI agent applications.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Cleanlab social profiles
Digital presenceCleanlab compliance and trust
Trust signalCompliance2 records
Cleanlab financial estimates
Financial estimateRevenue estimate
Valuation estimate
Cleanlab leadership team
Management profileNumber of profiles
Profiles7 records
Cleanlab funding detail
Funding detailFunding overview
Funding rounds2 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Cleanlab M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Cleanlab
What does Cleanlab do?
Cleanlab provides an AI reliability platform (Cleanlab Codex) that detects and remediates incorrect responses from AI agents in real time, ensuring outputs meet standards for safety, compliance, and trust. The platform combines a proprietary Trustworthy Language Model (TLM) for trust scoring with Detect (real-time hallucination, retrieval, and policy violation guardrails) and Remediate (human-in-the-loop correction by non-technical SMEs) modules, deployable as SaaS or VPC alongside an open-source Python package for data-centric AI.
Is Cleanlab a public or private company?
Cleanlab is a private company. It is classified as corporate owned and is currently acquired.
When was Cleanlab founded?
Cleanlab was founded in 2021. It employs 11 to 50 people.
Where is Cleanlab based?
Cleanlab is headquartered in San Francisco, United States, in the North America region.
How does Cleanlab make money?
Two revenue lines are on record. Enterprise Software Subscriptions are the primary driver. The others are open-Source Platform.
Who are Cleanlab's main competitors?
Direct peers on record are LangChain (LangSmith), WhyLabs, Fiddler AI, Patronus AI, Galileo and Arize AI. Broad incumbents are Weights & Biases and Datadog. Emerging players are Giskard and Confident AI (DeepEval).
Does Cleanlab have an API?
Yes. Cleanlab provides a Python API for implementing trust scores and data quality checks. The TLM (Trustworthy Language Model) API enables real-time scoring of LLM outputs for trustworthiness, with support for structured outputs and per-field scoring. Documentation available at help.cleanlab.ai/tlm with tutorials for integration into existing pipelines. Developer documentation is at help.cleanlab.ai/tlm.
What industry is Cleanlab in?
Cleanlab's product category is AI Reliability Software. Its primary akta.pro industry code is HDAEANAG, Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII), with a secondary code of HDAAAMAH, Human Oversight, Review & Content Moderation Tooling. Its NAICS code is 561621 and its SIC code is 7371.