A 500-component architecture slowed developers. A unified data layer runs AI document checks, freeing human brokers for complex advising.
An Australian fintech platform managing a home loan book of more than AU$107 billion across a national network of 1,350 brokers and 215 retail stores.
A post-merger data infrastructure bloated to over 500 deployable components across mixed databases forced developers to spend time tuning systems...
“It is like having an expert watching over your home loan 24x7.”
Fintech platform for home loan comparisons and mortgage broking services.
Multi-cloud developer data platform for building and scaling applications.
Lendi Group's Home loan assistant is part of this use case:
Related implementations across industries and use cases
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Siloed systems turned routine compliance checks into hours of manual work. Now, AI agents execute these workflows in seconds.
Scattered across legacy systems, mid-market banks bore big-bank regulations. Constantinople runs the platform so banks run the business.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
A 500-component architecture slowed developers. A unified data layer runs AI document checks, freeing human brokers for complex advising.
An Australian fintech platform managing a home loan book of more than AU$107 billion across a national network of 1,350 brokers and 215 retail stores.
A post-merger data infrastructure bloated to over 500 deployable components across mixed databases forced developers to spend time tuning systems...
“It is like having an expert watching over your home loan 24x7.”
Fintech platform for home loan comparisons and mortgage broking services.
Multi-cloud developer data platform for building and scaling applications.
Lendi Group's Home loan assistant is part of this use case:
Related implementations across industries and use cases
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Rising volume buried agents in manual tasks. AI now fields routine chats and writes summaries, cutting wrap-up time in half.
Siloed systems turned routine compliance checks into hours of manual work. Now, AI agents execute these workflows in seconds.
Scattered across legacy systems, mid-market banks bore big-bank regulations. Constantinople runs the platform so banks run the business.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.