An AI-for-AML startup a day keeps the FOMO away.
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Rebric manages anti-money laundering machine learning models for financial institutions that want to reduce false positives and avoid fines for AML compliance.
Rebric provides a managed infrastructure platform so financial institutions can get machine learning and AI systems to detect money laundering without having to bring on additional operations and data science staff.

What's Innovative About Their Solution?

Rebric helps enterprise clients make sure their machine learning models are always available, performant, and accurate in their predictions. We do this by combining training data, a machine learning model, and specialized supporting infrastructure elements into a package we call a Pattern that we are able to monitor and update continuously. We make these Patterns available to our customers through an API and charge a per transaction fee to access them. 
Current competitors do not provide support to monitor, manage, and implement a production ready machine learning model that can be used on a daily basis. SageMaker and Databricks are implementations of specific processes that provide pre-optimized models. Domino Data Labs and Onecloud provide a more flexible platform, but require operational staff from the client company to support and implement. Our competitors require a data scientist on staff or someone serving in that role to handle initial setup and continued operation of the system.

📍 Location

Denver, CO

⚙️ Product Stage


🏭 Industries


🤑 Fundraising Status

Actively raising

💸 Total Funding
To Date


🙌 Founder Demographics


Big Wins

Pilot through a channel partner gets us access to Finastra and a 3 million dollar a year revenue stream if we can deliver. DaVita is currently a customer, but more towards the demonstration of our ability to deliver scalable automated infrastructure as they are not using the Rebric Patterns platform, and instead we custom built a set of infrastructure for them. We are working towards moving them off the custom implementation and onto our platform.

Download the deck

Contact the Founder:

Chris Oltyan

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