ML Model Performance Management,

Build trustworthy, transparent and accountable AI solutions

Maximize model performance with continuous model health monitoring

Unlock revenue with confident AI deployments

Mitigate model risk & stay compliant with bias checks

Streamline collaboration across stakeholders by sharing KPIs and business impact

Build trustworthy, transparent and accountable AI solutions

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Explainable Monitoring: Complete visibility with fast problem solving

Continuously monitor the key operational challenges in AI - data drift, outliers and model decay. Get a fast turnaround to real-time issues with explainability and model analytics to ensure business value is intact.

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An example dashboard of Fiddler's product. Fiddler's Machine Learning Model Performance Management Platform utilizes Explainable AI to provide complete visibility into ML lifecycle and accelerates problem solving.

Monitor, explain, and analyze your AI in production.

Fiddler's Explainable AI Platform unlocks the AI blackbox with continuous Monitoring and 360-degree Explainability. Get complete visibility into AI systems, understand the "why" behind AI predictions, and drive business impact with actionable insights from Explainable ML Monitoring.

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An example dashboard of Fiddler's product. Fiddler's Machine Learning Model Performance Management Platform utilizes Explainable AI to provide complete visibility into ML lifecycle and accelerates problem solving.
Fiddler is a Gartner Cool Vendor 2019

Fiddler Labs, Inc. recognized as a Cool Vendor by Gartner in the Cool Vendors in Enterprise AI Governance and Ethical Response.

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Fiddler is a Technology Pioneer, awarded by World Economic Forum

Fiddler Labs, Inc. awarded as Technology Pioneer by World Economic Forum

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Fiddler's Accelerated MLOps At A Glance

Ingest from
Any data source

Plug in into any Model Framework

Observe, monitor, explain, and analyze, in real-time.

Connect via the Fiddler API

Continuously monitor, explain, and analyze AI systems at scale. With actionable insights build trustworthy, fair, and responsible AI monitoring.

Explainable Monitoring

AI in production is different and more complex than in training. Performance fluctuations can be staggering. Continuous model monitoring and Explainable AI help:

A GIF animation of Fiddler's Monitoring features. Fiddler allows users to get alerts on drift, integrity, and outlier issues.

Find and solve data drift issues quickly to ensure end-users are well served

Understand the ‘why’ behind problems using explanations to efficiently root cause issues

Detect and address outliers and to ensure continued high-performance

Explain Black Box AI

The problem: complex AI systems are inherently black boxes with minimal insight into their operation.

The solution: Explainable AI or XAI makes these AI black boxes more like AI glass-boxes by enabling users to always understand the ‘why’ behind their decisions.

The benefit: Identify, address, and share performance gaps and biases quickly for AI validation and debugging.

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Fiddler helps you answer questions such as, "Is your data drifting?", "Is your AI fair?", and "Do you have outliers?"
A screenshot of Fiddler's product. This screen shows how a user can investigate data drift and how explainability assists in finding the root cause.

Solve Operational Challenges in AI

Given the complex operational challenges in ML, like data drift and outliers, maintaining high-performance is difficult. Continuous model monitoring and Explainable AI help:

Efficiently solve operational challenges like drift, and outliers with always-on real-time explainable ML monitoring.

Get deep model-level actionable insights to understand problem drivers using explanations and efficiently root cause issues.

Give data scientists immediate visibility into performance issues and resolve them before it results in negative business impact.

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Build Responsible AI

Responsible AI is the practice of building AI that is transparent, accountable, ethical, and reliable.

Culture of accountability: AI impacts lives, making it imperative that the system is governable and auditable through human oversight.

Ethics at the forefront: building responsibly means AI outcomes and predictions are ethical, fair, and inclusive.

Consistent monitoring: continuous real time monitoring of AI ensures precise and rapid error detection with insight into the ‘why’.

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Use Fiddler to build Responsible AI

Seamless Pluggability

Fiddler's out-of-the-box integrations are easily pluggable with existing data and Al infrastructure making it flexible to use

Plug into any model framework

python logoaws sagemaker logo
scikit learn logotensorflow logopytorch logosas

Ingest from any data source

aws amazon redshift logosinglestore logoamazon aws s3 logosalesforce logo
google bigquery logosnowflake logopostgresql logohadoop logo
An illustration of Fiddler's Explainable AI Feedback Loop. Fiddler uses explainable AI to provide useful insights throughout the lifecycle of machine learning models - train, QA, deploy, predict, monitor, and debug.

Cutting-Edge Explainable AI

Trust: Explaining a black box with another black box does not establish trust. We ensure transparency through visibility.

Production-quality: Fiddler augments top AI explainability techniques in the public domain including Shapley Values and Integrated Gradients to enhance performance.

Enterprise scale: Our solutions are built at enterprise scale and power our industry leading explainability toolset for a robust and reliable experience.

Research-focused: Fiddler's paper 'Explanation Game' introduces confidence intervals and contrastive explanations - a significant upgrade to other Shapley Values implementations.

What our customers are saying

"At Hired, our mission is to match people with a job they love, and doing that at scale requires advanced technology like AI. Fiddler helps enhance our understanding of the AI algorithms at the heart of this candidate matching process by comparing these insights and explanations with our internally developed solutions to empower our data science and curation teams"

Mehul Patel

CEO, Hired

“We use Fiddler’s Explainable AI Platform to not only operationalize our AI models, but more importantly to explain these models. Explanations make these models more understandable across our technical and business teams. Fiddler’s Platform provides in-depth insights that our technical team uses to improve our model input selection and feature engineering process. It also provides human-readable and prescriptive insights to our sales and marketing teams enabling them to more intuitively score leads and prospects to ensure customer and business success. I’m excited about Fiddler’s technology helping us advance our analytics efforts at Rubrik.”

Shibin Nambiar

Staff Data Engineer, Rubrik

Build trustworthy and explainable AI solutions with Fiddler.

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