Insights

Enterprise AI Governance ModelOp is recognized by Gartner, Forrester, and IDC for end-to-end AI lifecycle management and governance and has earned multiple industry awards. This positions them as a trusted, high-end governance solution for regulated enterprises, indicating a potential opportunity to upsell governance, risk, and compliance (GRC) instruments to large banks, insurers, and healthcare organizations.

Agentic AI Focus With the launch of MADE, an agentic-powered framework, and explicit emphasis on agentic AI and vendor AI, there is a clear growth vector for integrating enterprise AI delivery capabilities. Sales can target organizations pursuing accelerated, compliant AI deployment across ML, GenAI, and autonomous components.

Strategic Partnerships Recent collaboration with Kong to bring zero-trust enforcement to the agentic enterprise highlights a security-forward value proposition. This suggests cross-sell opportunities with security vendors and IT teams seeking integrated zero-trust AI governance and deployment.

Fortune 2000 Target Positioned as an Enterprise AI Command Center for Fortune 500 and Global 2000, ModelOp demonstrates a capability to operate in highly regulated, complex environments. There is potential to expand into additional regulated verticals and regions by aligning with existing enterprise IT and AI programs.

Rapid Delivery Advantage MADE promises compressing AI delivery from months to days while ensuring policy adherence. This creates a compelling selling point for organizations with long AI project timelines or frequent governance bottlenecks, offering opportunities to replace or augment current MLOps and governance stacks.

ModelOp Tech Stack

ModelOp uses 8 technology products and services including Salesforce, Google Fonts API, Spring Boot, and more. Explore ModelOp's tech stack below.

  • Salesforce
    Customer Relationship Management
  • Google Fonts API
    Font Scripts
  • Spring Boot
    Frameworks And Libraries
  • OAuth
    Identity And Access Management
  • jQuery Mobile
    Mobile Frameworks
  • Java
    Programming Languages
  • NeoLoad
    Testing And Qa
  • Embedly
    Widgets

Media & News

ModelOp's Email Address Formats

ModelOp uses at least 1 format(s):
ModelOp Email FormatsExamplePercentage
First.Last@modelop.comJohn.Doe@modelop.com
100%

Frequently Asked Questions

What is ModelOp's phone number?

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You can contact ModelOp's main corporate office by phone at . For more prospecting data, LeadIQ has access to up-to-date and accurate contact information within our platform. Find, capture, and sync contact data to your CRM and sales tools in one click.

What is ModelOp's official website and social media links?

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ModelOp's official website is modelop.com and has social profiles on LinkedInCrunchbase.

How much revenue does ModelOp generate?

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As of August 2026, ModelOp's annual revenue is estimated to be $25M - $50M.

What is ModelOp's NAICS code?

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ModelOp's NAICS code is 5112 - Software Publishers.

How many employees does ModelOp have currently?

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As of August 2026, ModelOp has approximately 41 employees across 5 continents, including North AmericaEuropeSouth America. Key team members include Director Of Partnerships: A. R.Director, Strategic Sales: V. R.Director Of Research And Development: N. B.. Explore ModelOp's employee directory with LeadIQ.

What industry does ModelOp belong to?

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ModelOp operates in the Software Development industry.

What technology does ModelOp use?

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ModelOp's tech stack includes SalesforceGoogle Fonts APISpring BootOAuthjQuery MobileJavaNeoLoadEmbedly.

What is ModelOp's email format?

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ModelOp's email format typically follows the pattern of First.Last@modelop.com. Find more ModelOp email formats with LeadIQ.

How much funding has ModelOp raised to date?

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As of August 2026, ModelOp has raised $16M in funding. The last funding round occurred on Aug 19, 2024 for $10M.

When was ModelOp founded?

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ModelOp was founded in 2018.
ModelOp logo

ModelOp

Software DevelopmentIllinois, United States11-50 Employees

ModelOp provides an enterprise-focused platform for AI lifecycle management and governance, enabling organizations to bring GenAI, ML, and agent-based initiatives to market at scale with end-to-end control and oversight. Unlike general-purpose MLOps or compliance-centric tools, the platform is designed to orchestrate the full model lifecycle—from use-case intake and risk tiering to deployment, ongoing validation, monitoring, decommissioning, and audit reporting. It supports models developed in-house or sourced from third parties and integrates with enterprise systems, offering a single source of truth that aligns stakeholders across business, data science, legal, risk, compliance, and technology functions.
Its customers include complex and regulated institutions such as major banks, insurers, regulatory bodies, healthcare organizations, and global consumer goods companies that require structured governance and automated oversight to operationalize AI at scale. It sits within the software development landscape as a governance- and lifecycle-focused platform rather than a development-centric MLOps or generic workflow tool. Headquartered in Chicago, Illinois, the company operates as a small to mid-sized firm, and in June 2026 it announced the launch of the ModelOp AI Delivery Engine, a new agentic-powered framework aimed at speeding AI delivery while ensuring policy adherence.

Section iconCompany Overview

Phone number
NAICS Code
5112 - Software Publishers
Founded
2018
Employees
11-50

Section iconFunding & Financials

  • $16M

    ModelOp has raised a total of $16M of funding over 3 rounds. Their latest funding round was raised on Aug 19, 2024 in the amount of $10Mas a series_b.

  • $25M - $50M

    ModelOp's revenue is estimated to be in the range of $25M - $50M

Section iconFunding & Financials

  • $16M

    ModelOp has raised a total of $16M of funding over 3 rounds. Their latest funding round was raised on Aug 19, 2024 in the amount of $10Mas a series_b.

  • $25M - $50M

    ModelOp's revenue is estimated to be in the range of $25M - $50M

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