MIGRATIONS.ML produces credit risk analytics for U.S. corporate bonds

About MIGRATIONS.ML

Migrations.ml helps asset managers increase their returns and avoid losses in the bond market. Using machine learning, it enables researchers, traders and portfolio managers to analyze more bonds, make decisions faster and get more precise analytics. We’re in use at two financial institutions and looking to add more early adopters to use the product and actively participate in its development.

Location: Toronto

Year Founded: 2019

Vertical: Capital markets / Decentralized Finance / Crowdfinance

Employees: 1 – 10

Website: migrations.ml

Social Media:

Problem

The credit analysis process is highly data-dependent, manual and subjective. Meanwhile the global bond market has a capitalization of over $100 Trillion, with over 20,000 new issuances each year, making analysis and evaluation difficult to scale.

With persistent low interest rates, investors’ search for higher returns can lead to increased risk-taking or settling for lower returns and losing competitiveness. Over 50% of investment grade bonds are rated BBB, one step from junk bond status. It is imperative that asset managers have timely and accurate data to manage their portfolios.

  • Startup Pre-revenue 100% 100%
  • Startup Post-revenue $1 – $2M 0% 0%
  • Scaleup $2M – $10M 0% 0%
  • Scaleup $10M+ 0% 0%

Core Benefits

Migrations.ml is a cloud-based service that uses machine learning to generate dynamic predictive credit risk analytics of debt – Uses models developed by a world-renowned credit risk academic.

  • Creates a time series of creditworthiness and relative value indicators at the individual bond level.
  • Results are easy to access and incorporate into existing workflows.
  • Immediately available for use – no system integration required.

Ideal Customers

Businesses (B2B)

Milestones

  • February 2019: founder leaves RBC, starts full-time
  • March 2019: coding begins
  • June 2019: MVP completed
  • September 2019: graphing, API and Excel Add-in completed
  • December 2019: transparency of model output, custom portfolios added
  • January 2020: accepted into Fintech Sandbox

Problem

The credit analysis process is highly data-dependent, manual and subjective. Meanwhile the global bond market has a capitalization of over $100 Trillion, with over 20,000 new issuances each year, making analysis and evaluation difficult to scale.

With persistent low interest rates, investors’ search for higher returns can lead to increased risk-taking or settling for lower returns and losing competitiveness. Over 50% of investment grade bonds are rated BBB, one step from junk bond status. It is imperative that asset managers have timely and accurate data to manage their portfolios.

Core Benefits

Migrations.ml is a cloud-based service that uses machine learning to generate dynamic predictive credit risk analytics of debt – Uses models developed by a world-renowned credit risk academic.

  • Creates a time series of creditworthiness and relative value indicators at the individual bond level.
  • Results are easy to access and incorporate into existing workflows.
  • Immediately available for use – no system integration required.

Ideal Customers

Businesses (B2B)

Milestones

  • February 2019: founder leaves RBC, starts full-time
  • March 2019: coding begins
  • June 2019: MVP completed
  • September 2019: graphing, API and Excel Add-in completed
  • December 2019: transparency of model output, custom portfolios added
  • January 2020: accepted into Fintech Sandbox
  • Startup Pre-revenue 100% 100%
  • Startup Post-revenue $1 – $2M 0% 0%
  • Scaleup $2M – $10M 0% 0%
  • Scaleup $10M+ 0% 0%

UPDATE: FFCON20 RESCHEDULED TO JULY 8-9 DUE TO CORONAVIRUS