Actionable Credit Monitoring for Lenders and Financial Health Platforms
Most credit monitoring reports what changed. Revelar adds what to do next: it flags the tradelines most likely to hold an error, so your customers know which items deserve a closer look and your team knows which customers to reach.
From alerts to action
A score alert tells a customer their number moved. It rarely tells them why, or whether anything on the report is wrong. Before Best Egg added Revelar, its standard email campaigns were generating 1 to 2% engagement.
Revelar is built on more than 30 million dispute outcomes. For each tradeline it returns a probability that the item holds a material error. Inside a financial health or credit monitoring experience, that turns a passive report into a short list of items worth reviewing.
TrackStar offers its own credit monitoring, and Revelar also works with the credit monitoring you already provide. Revelar runs in a Docker container inside your environment and connects through an API to your digital banking, mobile and financial wellness experiences. You keep full control of the messages your customers see.
Run it on your existing portfolio too: a customer who qualified last year can look riskier today because of a reporting error.
Who it is for
Teams that run credit monitoring, financial health or member engagement programs.
Fintechs and digital lenders
Give users a specific reason to come back to your financial health tools.
Banks and credit unions
Advocate for members at scale by showing them what may be wrong on their file.
Credit bureaus
Add error intelligence to the consumer and lender products built on your data.
Financial service providers
Watch existing portfolios for files where reporting errors hide true risk.
How it works
Deploy in your environment
Revelar runs in a secure Docker container inside your environment, with no LLMs and no external API calls, so raw credit data never leaves your servers.
Score the files you monitor
Revelar returns the probability that each tradeline on a customer file holds a material error.
Show what matters
Surface the items most likely to be wrong in your own app, in your own words, with the next step your team chooses.
Measure the lift
Track engagement, dispute activation and reactivation against the baseline you have today.
Case study: Best Egg
What Best Egg saw in six months
- 160%lift in Financial Health engagement
- 62%increase in dispute activation
- 10%reactivation of dormant users
Best Egg deployed Revelar directly into its Financial Health platform after scanning 20 million historical credit reports and finding 3.4 million consumers with material credit report errors. Within six months, Financial Health engagement rose 160%, dispute activation increased 62%, and 10% of dormant users came back.
Read the Case StudyFrequently Asked Questions
What makes credit monitoring actionable?
Actionable credit monitoring tells a customer what to do, not just what changed. Revelar flags the tradelines most likely to hold a material error, which gives your customers a specific item to review.
Can Revelar run on our existing customers?
Yes. Revelar scans the credit files you already hold. Best Egg scanned more than 20 million historical credit reports in under three minutes.
What results has this produced?
After Best Egg deployed Revelar in its Financial Health platform, engagement rose 160% and dispute activation increased 62% within six months.
Do we need our own credit monitoring product?
No. TrackStar offers its own credit monitoring, and Revelar also works with the credit monitoring you already provide.
Who controls what our customers see?
You do. Revelar provides the signal, and your team decides the messages, timing and next steps in your own product.
Does our credit data leave our environment?
No. Revelar runs as a container inside your own environment, with no external API calls, so raw credit data never leaves your servers.
Ready to See What's Hidden in Your Data?
Book a discovery call and see how Revelar uncovers the opportunities already inside your existing credit files.