Insights

Rapid AI Delivery Ople's platform takes data to predictions in days instead of months, enabling business leaders to scale AI initiatives beyond a couple of projects per year. This capability creates sales opportunities with CIOs, heads of data science, and product teams in data-rich industries who demand fast experimentation, lower risk, and faster time-to-value.

Cost Efficient AI The Easy, Cheap and Ubiquitous promise suggests meaningful cost savings by reducing reliance on scarce data science talent and complex infrastructure. Frame value to CFOs and procurement as lower total cost of ownership and accelerated ROI through faster model deployment and execution.

Collaborative Culture Ople emphasizes open discussion, learning from mistakes, and collaboration. This makes it suitable for partnerships with system integrators, managed services providers, and consulting firms to co-create AI solutions and accelerate go-to-market with established channel partners.

Enterprise Scale With a mid-sized yet growing footprint and a focus on delivering elite quality models instantly, Ople can be positioned for mid-market to enterprise deals. Leverage AWS-based infrastructure and a strong data science team to pursue large-scale, cross-functional AI programs.

Differentiated Platform The core narrative AI to build AI and learning-to-learn positioning differentiates Ople from incumbents by promising faster, safer, end-to-end AI delivery. Use this to target early adopters and pilot programs looking to accelerate digital transformation without the typical AI ramp-up.

Ople Tech Stack

Ople uses 8 technology products and services including Amazon Web Services, Webpack, Font Awesome, and more. Explore Ople's tech stack below.

  • Amazon Web Services
    Cloud Hosting
  • Webpack
    Development
  • Font Awesome
    Font Scripts
  • Moment.js
    Javascript Libraries
  • Hammer.js
    Javascript Libraries
  • reCAPTCHA
    Security
  • Google Tag Manager
    Tag Management
  • Bootstrap
    UI Frameworks

Ople's Email Address Formats

Ople uses at least 1 format(s):
Ople Email FormatsExamplePercentage
First@ople.aiJohn@ople.ai
76%
FirstL@ople.aiJohnD@ople.ai
21%
First_Last@ople.aiJohn_Doe@ople.ai
3%

Frequently Asked Questions

Where is Ople's headquarters located?

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Ople's main headquarters is located at 411 Borel Avenue 205 San Mateo, California United States. The company has employees across 4 continents, including North AmericaAsiaAfrica.

What is Ople's stock symbol?

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Ople is a publicly traded company; the company's stock symbol is COPL.

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

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Ople's official website is ople.ai and has social profiles on LinkedInCrunchbase.

What is Ople's NAICS code?

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Ople's NAICS code is 5112 - Software Publishers.

How many employees does Ople have currently?

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As of June 2026, Ople has approximately 61 employees across 4 continents, including North AmericaAsiaAfrica. Key team members include Chief Product Officer: F. L.Asistente Ejecutivo: C. P. M. N.C Presidente: A. L.. Explore Ople's employee directory with LeadIQ.

What industry does Ople belong to?

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Ople operates in the Software Development industry.

What technology does Ople use?

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Ople's tech stack includes Amazon Web ServicesWebpackFont AwesomeMoment.jsHammer.jsreCAPTCHAGoogle Tag ManagerBootstrap.

What is Ople's email format?

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Ople's email format typically follows the pattern of First@ople.ai. Find more Ople email formats with LeadIQ.

When was Ople founded?

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Ople was founded in 2017.

Ople

Software DevelopmentCalifornia, United States51-200 Employees

Ople is a mid-sized software development company based in San Mateo, California. It provides an AI platform designed to automate and streamline data science workflows, enabling data-to-prediction cycles in days and delivering high-quality deep learning models ready for deployment. The platform aims to reduce risk and accelerate results compared with traditional, multi-month data science projects.

The product targets business leaders seeking faster, more reliable AI outcomes and data teams needing scalable, repeatable processes. Founded by Pedro Alves, Ople grew from the idea of AI that learns to learn and is supported by a diverse team of data scientists, machine learning experts, engineers, and market makers who emphasize collaboration and continual learning. The company describes its broader aim as expanding AI adoption across industries by making AI simpler and more affordable.

Section iconCompany Overview

Headquarters
411 Borel Avenue 205 San Mateo, California United States
Website
ople.ai
Stock Symbol
COPL
NAICS Code
5112 - Software Publishers
Founded
2017
Employees
51-200

Section iconFunding & Financials

  • $10M$25M

    Ople's revenue is estimated to be in the range of $10M$25M

Section iconFunding & Financials

  • $10M$25M

    Ople's revenue is estimated to be in the range of $10M$25M

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