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Mona

Full company profile

uuid00022jk

Namestring
Mona
Legal namestring
Mona Labs
Websiteurl
monalabs.io
Company typeenum
Private
Founded yearint
2025
Descriptiontext

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.

Short descriptiontext

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.

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

Serves global market

Keyword5 values
AI model monitoring, MLOps platform, production AI observability, model performance analytics, AI monitoring software
Industry3 codes
1AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety)
CodeHDAEANAFPrimaryYes
2Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem)
CodeHDAEANACPrimaryNo
3Evaluation, Benchmarking & Observability (Evals, Monitoring, Tracing)
CodeHDAAACAHPrimaryNo
NAICS code1 code
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Services-Prepackaged Software7372
Product category
AI Observability
Social media profiles2 records
Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

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.

Product and service1 record
1Mona AI Monitoring Platform
CategoryAI Observability / MLOps
Partnership1 partner
1Korea Innovation Foundation
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

The 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 move3 records

Each record includes

Date, Type, Title, Description, Source

Peers10 records
1Arize AI
TypeDirect peer
Description

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.

2WhyLabs
TypeDirect peer
Description

Direct peer providing an AI observability platform focused on data quality, model monitoring, and performance guardrails for production ML/LLM workloads.

3Fiddler AI
TypeDirect peer
Description

Direct competitor offering model performance management, explainability, and AI monitoring for enterprise ML and LLM applications in production.

4LangSmith (LangChain)
TypeEmerging player
Description

LLM-focused observability and evaluation platform tightly integrated with LangChain; overlaps with Mona's debugging/tracing use case for production LLM applications.

5Helicone
TypeEmerging player
Description

Open-source LLM observability platform offering logging, tracing, and evaluation for production LLM apps — partial overlap with Mona's model underperformance monitoring.

6Datadog
TypeBroad incumbent
Description

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.

7New Relic
TypeBroad incumbent
Description

Enterprise APM and observability incumbent that has added AI monitoring capabilities, providing bundled competition to standalone AI observability vendors like Mona.

8Splunk (Cisco)
TypeBroad incumbent
Description

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.

9Dynatrace
TypeBroad incumbent
Description

Enterprise observability and AIOps platform with AI-powered monitoring and analytics, increasingly bundling capabilities that overlap with Mona's model performance monitoring.

10Galileo
TypeEmerging player
Description

LLM evaluation and observability platform offering tracing, evaluation, and guardrails for production generative AI applications — direct overlap with Mona's core use case.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Key risks4 records

Each record includes

Headline, Details, Source

Key highlights4 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 maturity
App detail

Has app

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

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

Investors4 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 →

Mona

AI Observabilitymonalabs.io

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.

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

  • AI model monitoring
  • MLOps platform
  • Production AI observability
  • Model performance analytics
  • AI monitoring software

Where Mona is headquartered

Location

Headquarters

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 offering

Core 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 profile

Segments1 record

Ideal customer profiles1 record

Mona technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Mona partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • Korea Innovation FoundationcoreStrategic or Co-development Partner · 1 January 2025The 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 assessment

Direct 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 presence

Mona financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Mona leadership team

Management profile

Number of profiles

Profiles3 records

Mona funding detail

Funding detail

Funding 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 investment

M&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.

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Live signals
MorningstarLiam Mona Expands Mona Power Nationwide, Driving Growth in Solar and EV InfrastructureLiam Mona, President and Managing Partner of Mona Power, has announced the company's expansion to operate nationwide, offering residential and commercial solar systems and EV charging solutions across the United States. The company emphasizes a results-driven approach focused on training, customer experience, and innovation in the renewable energy space. Mona Power is positioning itself as a leader in solar and EV infrastructure while helping homeowners and businesses transition to sustainable power.PR NewswireMona Introduces Free, Self-Service Monitoring for GPT ApplicationsMona, an AI monitoring platform with offices in Tel Aviv and Atlanta, launched a free, self-service monitoring solution for GPT-based applications that provides visibility into costs, performance, and quality metrics. Hyro.ai, a conversational AI company serving healthcare systems, is cited as an early adopter using Mona to track token usage, API performance, and LLM response quality across its user-facing and backend systems. The solution allows teams to wrap OpenAI API calls with two lines of code to receive early alerts on anomalous usage, privacy concerns, and low-quality prompts.PR NewswireMona Introduces New Automated Exploratory Data Analysis ToolMona, an intelligent monitoring platform headquartered in Tel Aviv with an office in Atlanta, has launched a new automated exploratory data analysis tool designed to identify root causes of anomalies in multivariate datasets. The tool automates the traditionally manual and time-consuming process of segment analysis, allowing users to simply upload a CSV file and automatically surface outlier segments. The product is being offered free of charge to make it accessible to organizations of all sizes and verticals.PR NewswireThe Israeli Ministry of Defense Selects Mona's Enterprise Monitoring Solution to Gain Complete Visibility into Their AI / ML SystemsThe Israeli Ministry of Defense has selected Mona's intelligent monitoring solution to enhance visibility and trustworthiness within its AI and machine learning systems. This partnership enables the MoD to proactively detect anomalous behaviors in large datasets, thereby optimizing operational processes and mitigating risks associated with model underperformance.