• Home
  • About
  • Our Services
    • AI Applied
    • AI Accelerate
  • Key Industries
    • Finance and Banking
    • Healthcare
    • Manufacturing
    • Retail
    • Product Design and Development
    • Smart City and Infrastructure
  • Resources
    • Case Studies
    • Ebook: How to Bring AI to Your Organization
    • Free Guide: Discussion Questions for AI Readiness
    • New Research: 50 AI Examples from the Fortune 500
  • Projects
    • Unredactor
    • Using Bigquery to Debunk Coronavirus Myths
  • Coronavirus + AI
    • Apply for Manceps' Covid-19 AI Initiative
    • Using BigQuery to Debunk Coronavirus Myths
  • Careers
    • Current Openings
    • Get Google Cloud Artchitect Certified
  • Blog
  • Contact us
Manceps

Introducing
AI Accelerate

Let’s face it, bringing your own AI team in-house can be complex, inflexible, and expensive. By leaving the AI model development to us, you can ensure that you bring AI to your organization with ease. AI Accelerate makes artificial intelligence affordable and accessible.
SPEAK TO SALES
GET OUR DATASHEET

Key Benefits

3073-2.jpg

Launch Within a Few Weeks

AI Accelerate is designed for those who have a specific AI solution in mind and just need the right team to build it out. Our elite team of AI professionals can get your model developed in just a matter of weeks.
3076-3.jpg

Create a Powerful AI Use Case For Your Organization

This initial model can serve as an illuminating proof-of-concept for your whole organization, making it easier to convince stakeholders to realize the value of AI and make the investment.
3080-6-15883490061985.jpg

Ensure Your Project is Built By the Right Specialists

AI has a wide range of specialties. Some AI developers have spent their careers on natural language processing, while others have worked on video analytics or actionable insights. Without a keen understanding of this quickly-evolving field, organizations risk high churn while they identify the most qualified talent.
3165-7.jpg

Avoid Bringing an Expensive AI Team In-House

Rather than making a large investment in highly paid AI talent, we bring the right experts to your organization at a fraction of the cost.

“There’s little doubt that Artificial Intelligence has impressive capabilities. But staffing up an AI team in-house is not always feasible nor affordable. This is exactly how we can help."

— Al Kari, CEO of Manceps


Timeline and Scope

1-2 Weeks

Algorithm Selection

After capturing your requirements, our team will research, benchmark, and select the best algorithm for your application.
1-2 Weeks

Feature Engineering

Manceps will identify the most relevant inputs (features) from which to derive the insights you want your model to produce. These multi-dimensional data points can come from within your company and, if necessary, augmented with publicly available datasets.
1-2 Weeks

Model Development

Finally, we will train, fine-tune and validate a model that puts your data to work and achieves required accuracy metrics.

Get Started.

OUR LATEST RESOURCES
OUR LATEST ARTICLES

DevFest West Coast 2020

Watch videos of some of the world's top AI experts discuss everything from Tensorflow Extended to Kubernetes to AutoML to Coral.

Video: Machine Learning Engineering with Tensorflow Extended

In this talk, Hannes is providing insights into Machine Learning Engineering with TensorFlow Extended (TFX). He introduces how TFX for machine learning pipeline tasks and how to orchestrate entire ML pipelines with TFX. The audience learns how to run ML production pipelines with Kubeflow Pipelines, and therefore, free the data scientist's time from maintaining production machine learning models.

Video: How to Build a Reproducible ML Pipeline

Solving a data science problem usually requires multiple steps. These steps can include extracting and transforming data, training a model, and deploying the model into production. In this session, we'll discuss how to specify those steps with Python into an ML pipeline. We'll show how to create a Kubeflow Pipeline, a component of the Kubeflow open-source project. The audience will learn about how to integrate TensorFlow Extended components into the pipeline, and how to deploy the pipeline to the hosted Cloud AI Pipelines environment on Google Cloud. The key takeaway is how to improve reuse and reproducibility of the machine learning process.

LOAD MORE

OUR HEADQUARTERS
Headquartered in the heart of Portland, Oregon, our satellite offices span North America, Europe, the Middle East, and Africa.

(503) 922-1164

Our address is
US Custom House
220 NW 8th Ave
Portland, OR 97209

Copyright © 2019 Manceps