Mirakl
Vendor catalog onboarding
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
- Catalog onboarding cut from 28 days to <24 hours
- ~50% reduction in categorization errors
Teams relied on manual Excel exports. Now, AI agents unify data from 30+ payment providers to assess risk instantly.
A global risk-mitigation partner for payment platforms that processes massive volumes of merchant, transaction, and dispute data to insure payments.
Fragmented data across multiple environments forced teams to rely on manual Excel exports and labor-intensive infrastructure management. This lack of...
“Data forms the foundation of our business, and Databricks empowers us to harness its full potential. With the right architectures, workflows and AI tools, we enable our clients to manage risk more efficiently and flip risk into a growth enabler.”
Automated risk assessment and insurance platform for payment providers.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
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Teams relied on manual Excel exports. Now, AI agents unify data from 30+ payment providers to assess risk instantly.
A global risk-mitigation partner for payment platforms that processes massive volumes of merchant, transaction, and dispute data to insure payments.
Fragmented data across multiple environments forced teams to rely on manual Excel exports and labor-intensive infrastructure management. This lack of...
“Data forms the foundation of our business, and Databricks empowers us to harness its full potential. With the right architectures, workflows and AI tools, we enable our clients to manage risk more efficiently and flip risk into a growth enabler.”
Automated risk assessment and insurance platform for payment providers.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
Silos obscured borrower risk. Now, models analyze device usage patterns to approve loans and block fraud instantly.
Teams waited on data scientists for SQL. Now, an internal AI agent writes the code, saving 75% of engineers 10 hours a week.
Siloed data forced 20 minutes of research per lead. AI now uses 1,000 signals to draft personalized emails in under two minutes.
Assessing wildfire risk bottlenecked analysts for weeks. Now, geospatial AI evaluates properties to generate quotes in minutes.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
A 12-person team spent days manually compiling reports. Now, automated daily dashboards let field agents resolve claim inquiries instantly.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.