Mona
Mona is an AI/ML performance monitoring platform, founded in 2018 in Atlanta, that helps data and engineering teams detect and resolve underperformance in production machine learning systems at technology companies.
- Company typePrivate
- Founded2025
- HeadquartersAtlanta, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Mona does
Mona is a private software company that operates a performance monitoring and observability platform for production AI/ML systems. Founded in 2018 and headquartered in Atlanta, Georgia, the company builds tooling that enables data scientists and engineering teams to detect, diagnose, and resolve model underperformance issues in deployed machine learning environments. Its platform addresses a horizontal use case across technology companies operating production AI systems, focusing on visibility into model behavior, drift, and operational reliability post-deployment.
The company's product architecture centers on integrating with ML pipelines to surface actionable signals when models underperform, though specific technical components, integration mechanisms, and supported model frameworks are not disclosed in available sources. Mona employs between 11 and 50 people and operates as a for-profit private company. Its go-to-market and revenue mechanics are not publicly disclosed; pricing is not listed and no customer logos, contract structures, or ARR figures are available.
Mona's capital history includes early-stage support from Google for Startups in 2018 and a $6.95M funding round in August 2021 led by participation from Matias Ventures, Osage Venture Partners, and TELUS Global Ventures. The company's website (monalabs.io) is currently under construction, limiting access to product detail and marketing materials. No subsequent funding rounds, acquisitions, partnerships, or leadership changes have been disclosed in the input data.
Mona firmographics
Firmographics- Name
- Mona
- Legal name
- Mona Labs
- Website
- https://monalabs.io
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Mona is an AI/ML performance monitoring platform, founded in 2018 in Atlanta, that helps data and engineering teams detect and resolve underperformance in production machine learning systems at technology companies.
- Ownership category
- akta.pro rank
Mona industry classification
Industry- Product category
- AI Observability
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
- akta.pro secondary industries
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Evaluation, Benchmarking & Observability (Evals, Monitoring, Tracing) (HDAAACAH)
Keywords
Where Mona is headquartered
LocationHeadquarters
- HQ city
- Atlanta
- HQ country
- United States
- HQ region
- North America
Markets served
Mona business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Mona product offering
Product offeringCore offering
Mona provides a performance monitoring platform for production AI systems. The platform enables data and engineering teams to detect, investigate, and resolve model underperformance issues across deployed AI/ML models.
Product overview
Mona Labs operates a website (monalabs.io) that is currently under construction with no publicly accessible product or service information available in the source material.
Differentiator
Problem solved
Functional benefit
Products and services
- Mona AI Monitoring Platform
Companies that use Mona
Customer profileSegments1 record
Ideal customer profiles1 record
Mona technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Mona partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Korea Innovation FoundationcoreThe Korea Innovation Foundation selected Mona for its 2025 Global Technology Commercialization Support Program in North America. The program supports the company in applying its advanced energy, AI/IoT, and bio health technologies in local facilities and projects to facilitate on-site commercialization.
Recent moves3 records
Mona competitors and assessment
Company assessmentDirect peers
- Arize AI: Direct competitor in AI observability and LLM evaluation/tracing, offering drift detection, embedding analysis, and production monitoring for ML and LLM systems — the same core use cases Mona targets.
- WhyLabs: Direct peer providing an AI observability platform focused on data quality, model monitoring, and performance guardrails for production ML/LLM workloads.
- Fiddler AI: Direct competitor offering model performance management, explainability, and AI monitoring for enterprise ML and LLM applications in production.
Emerging players
- LangSmith (LangChain): LLM-focused observability and evaluation platform tightly integrated with LangChain; overlaps with Mona's debugging/tracing use case for production LLM applications.
- Helicone: Open-source LLM observability platform offering logging, tracing, and evaluation for production LLM apps — partial overlap with Mona's model underperformance monitoring.
- Galileo: LLM evaluation and observability platform offering tracing, evaluation, and guardrails for production generative AI applications — direct overlap with Mona's core use case.
Broad incumbents
- Datadog: Large-scale observability platform that has launched Datadog LLM Observability and Watchdog AI features, competing with Mona by bundling AI monitoring into a broader infra monitoring suite.
- New Relic: Enterprise APM and observability incumbent that has added AI monitoring capabilities, providing bundled competition to standalone AI observability vendors like Mona.
- Splunk (Cisco): Enterprise observability and log analytics platform, now part of Cisco, with expanding AI/ML monitoring capabilities that overlap Mona's production AI monitoring value proposition.
- Dynatrace: Enterprise observability and AIOps platform with AI-powered monitoring and analytics, increasingly bundling capabilities that overlap with Mona's model performance monitoring.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks4 records
Key highlights4 records
Customer concentration
Mona social profiles
Digital presenceMona financial estimates
Financial estimateRevenue estimate
Valuation estimate
Mona leadership team
Management profileNumber of profiles
Profiles3 records
Mona funding detail
Funding detailFunding overview
Funding rounds2 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Mona 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 Mona
What does Mona do?
Mona provides a performance monitoring platform for production AI systems. The platform enables data and engineering teams to detect, investigate, and resolve model underperformance issues across deployed AI/ML models.
When was Mona founded?
Mona was founded in 2025. It employs 11 to 50 people.
Where is Mona based?
Mona is headquartered in Atlanta, United States, in the North America region.
Who are Mona's main competitors?
Direct peers on record are Arize AI, WhyLabs and Fiddler AI. Emerging players are LangSmith (LangChain), Helicone and Galileo. Broad incumbents are Datadog, New Relic, Splunk (Cisco) and Dynatrace.
Does Mona have an API?
No public API is recorded for Mona.
What industry is Mona in?
Mona's product category is AI Observability. Its primary akta.pro industry code is HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety), with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 54151 and its SIC code is 7372.