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ElectrifAi

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3 reviews
  • 32 profiles
  • 3 categories
Average star rating
4.3
Serving customers since
2004
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Improve Acceptance Rate - Personal Loan

0 reviews

Identify applicants likely to cancel or fade out of loan process.

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Missing Charges

0 reviews

Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing. By using the input data of medical claims from an insurance company (i.e. common medical codes HCPCS, CPT, ICD10, REV, LOC), a score of every possible charge code is generated. High scores mean the charge should be on the claim. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer.

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Penalty Pricing Strategies

0 reviews

Increase APR for certain customers to reduce risk while not affecting customer satisfaction with this sensitivity-based segmentation model.

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Collections Risk

0 reviews

End-to-End Records Management with Collabspace CONTINUUM Connect All Electronic, Physical & Email Sources for Unified Cross-Platform Visibility & Retention Forget migration and stream all your content repositories into a Data Lake for complete and compliant records management, multi-platform search and comprehensive visibility. With Collabspace, users can continue using the systems they’re familiar with while all the records management compliance and backup is automated in the background.

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ElectrifAI Recommendation Engine

0 reviews

Build a model of customer ranking score in different consumption categories and see what the response is in a certain campaign.

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Equine Gait Model

0 reviews

Evaluation of animal's health status (lameness) by gait analysis to predict disease (osteoarthritis, etc.).

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Initial Rate Plan Assignment

0 reviews

Customers are assigned plans that best meet their needs based on usage during the trial period.

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Spend Passion

0 reviews

Analyze low-utilization credit card users customer data to discover spend behavior and relationships between products or services.

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Behavior Scorecard

0 reviews

Behavior Scorecard monitors risk after onboarding.

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ElectrifAi Reviews

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Star Rating
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MS
Marta S.
03/04/2024
Validated Reviewer
Review source: G2 invite
Incentivized Review

A Look into My Stake in the Startup World

The most effervescent facet of Dilution Prevention in my investment contracts occasionally is relinquishing the apprehension I feel. Having ownership equals with the tickets being run out by subsequent funding rounds to finance the business, it means I can be focused on the success of the organization and not bother about being relieved of control.
Anish K.
AK
Anish K.
Quality analyst at DXC Technology
06/16/2023
Validated Reviewer
Review source: Organic

very gud application. excellent experience. one of the best platforms

The secured end to end encrypted function enables our day to day transactions with seamless efforts.
Verified User in Entertainment
UE
Verified User in Entertainment
04/03/2022
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Review of Application fraud

Application fraud is a very much useful application since it helps to detect where and how the fraud has taken place.

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HQ Location:
Jersey City, US

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What is ElectrifAi?

ElectrifAi LLC is a innovator in the field of practical artificial intelligence (AI) and machine learning (ML) products, focusing on helping organizations solve complex business problems and drive profitability through data analysis. Founded in 2004, ElectrifAi operates across a broad range of industries including healthcare, finance, hospitality, and public sector, offering solutions that emphasize rapid deployment and tangible results.ElectrifAi's extensive suite of pre-built machine learning models and custom solutions are designed to enhance operational efficiency, mitigate risk, and harness the power of predictive analytics. From image and pattern recognition to natural language understanding and financial forecasting, ElectrifAi employs advanced algorithms to turn raw data into actionable insights.Their expertise in deep learning and model training, alongside a commitment to ethical AI utilization, positions ElectrifAi as a respected partner in the AI community. The company's approach is to work closely with clients, adapting and integrating their technologies to fit specific business needs and environments.

Details

Year Founded
2004
Website
electrifai.net