There is a meaningful difference between providing data and providing a decision. We would rather build the intelligence layer that converts data into an answer another application can act on directly.
What the API can return
8- Scores
- Forecasts
- Probabilities
- Classifications
- Alerts
- Rankings
- Recommendations
- Decision signals
Example applications
The same architecture supports very different commercial problems:
- Supplier risk
- Company health
- Commercial property risk
- Cyber and domain risk
- Fraud risk
- Default probability
- Insurance risk
- Logistics delay probability
- Product demand
- Inventory risk
- Customer propensity
- M&A target ranking
- Energy and solar forecasts
- Climate risk
- Litigation risk
- SEO opportunity scores
- Advertising intelligence
- Workforce demand
- Pricing recommendations
A scoring API is only as good as the reasoning behind it, so we treat data quality, model validation, explainability and monitoring as part of the deliverable.
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Build a Scoring or Prediction API?
Tell us what the API should receive, what it should return and who will be calling it. We will come back with an approach, a scope and a price.