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faraday-ai

Faraday AI provides data science and engineering teams with tools to build advanced customer behavior predictions using data, AI, and automation through point-and-click interfaces or APIs.

faraday-ai is business intelligence software teams evaluate for business intelligence. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API
#223 in Business Intelligence (223 tools)
Added 0 year ago
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Quick Overview

Best for: Business Intelligence

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Business Intelligence

Pricing snapshot

Free

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faraday-ai

Faraday AI is a platform designed to help data science and engineering teams create breakthrough customer experiences by leveraging data, AI, and automation. It offers a comprehensive suite of features including data ingress, identity resolution, algorithm tuning, feature engineering, validation, reporting, and real-time or batch inference. The platform supports compliance with regulations such as SOC-2 and CCPA and includes built-in bias detection and mitigation to ensure responsible AI use. Faraday is suitable for organizations looking to predict customer behaviors and deploy these predictions seamlessly across various applications.

Faraday predicts customer behavior using an API for building predictive customer experiences.

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Key Features

Data Ingress and Integrations

Connects to existing data sources including Snowflake, BigQuery, Postgres, and S3, or supports CSV uploads.

Identity Resolution

Combines data to create a unified consumer identity for accurate predictions.

Algorithm Tuning and Feature Engineering

Automates the tuning of algorithms and engineering of features to improve model performance.

Validation and Reporting

Provides automatic reporting and validation of prediction models.

Probability Calibration

Calibrates prediction scores to be useful and actionable.

Geonormalization

Normalizes geographic data for better prediction accuracy.

Explainability and Bias Detection

Includes tools for explainability and bias detection and mitigation to ensure safe machine learning.

Real-time and Batch Inference

Supports both real-time and batch prediction deployments.

Lifecycle Management

Manages the entire lifecycle of prediction models from creation to deployment.

Built-in Consumer Data

Includes 1,500 consumer attributes and built-in ML predictions for key behaviors.

Compliance

Supports SOC-2, CCPA, and other regulatory requirements.

Pricing

Free Tier Available

Faraday offers a free tier to get started with built-in demographic data and basic features.

Use Cases

Adaptive Discounting

Predicts the significance of promotions for each target to optimize discounting strategies.

Lead Prioritization

Helps engage the best leads first to maximize conversion opportunities.

Next Best Offer

Predicts what each lead or customer is likely to buy next to tailor offers.

Repeat Purchase Readiness

Identifies customers most ready to make another purchase.

Thematic Personalization

Determines the most appealing message and creative for each target.

Integrations

Snowflake

Data warehouse integration for seamless data ingestion.

BigQuery

Supports Google BigQuery for data connections.

Postgres

Database integration for importing data.

Amazon S3

Cloud storage integration for data uploads.

ActiveProspect

Integration to enhance lead acquisition.

Zapier

Plugin to connect with various third-party applications.

Benefits

Speeds up customer behavior prediction with ready-to-use data and templates.
Simplifies machine learning deployment with point-and-click or API-based workflows.
Ensures responsible AI use with built-in bias detection and compliance features.

Limitations

Pricing details beyond the free tier are not publicly available.
No explicit mention of support for non-customer behavior prediction use cases.

Frequently Asked Questions

What types of data sources does Faraday support?
Faraday supports data warehouses like Snowflake and BigQuery, databases like Postgres, cloud buckets like S3, and CSV uploads.
Can I deploy predictions in real-time?
Yes, Faraday supports both real-time and batch inference deployments.
Does Faraday help with bias detection in machine learning?
Yes, it includes built-in bias detection and mitigation tools to ensure safe and responsible AI.
Is there a free tier available?
Yes, Faraday offers a free tier that includes built-in demographic data to get started quickly.

Getting Started

  1. 1 Step 1: Connect to your existing data sources such as Snowflake, BigQuery, Postgres, or upload CSV files.
  2. 2 Step 2: Create datasets by mapping columns to recognize people and extract key events like Signup and Transaction.
  3. 3 Step 3: Create cohorts representing key groups using event and trait data.
  4. 4 Step 4: Declare your prediction objective using built-in objectives for customer behaviors.
  5. 5 Step 5: Use a Scope to prepare predictions by selecting populations and payloads.
  6. 6 Step 6: Deploy your predictions by adding targets for each deployment destination.

Support

Docs

Comprehensive documentation and API reference available on the website.

Chat

Support available via Discord community.

Email

Contact available through the website contact page.

API

Available: Yes
Documentation:

API reference and documentation are available on the Faraday website.

Rate Limits:

Not specified in the available information.

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