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
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
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.
A surge in sign-ups overwhelmed manual background checks. AI now automates risk analysis, clearing the onboarding bottleneck.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
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
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Data silos across 300+ products made navigating fiscal regulations slow. A unified AI assistant now securely answers complex user queries.
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.
A surge in sign-ups overwhelmed manual background checks. AI now automates risk analysis, clearing the onboarding bottleneck.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.