Google Cloud Financial Services Singapore

iBantu

Real-time Analytics

Internally, iBantu uses Google Workspace to seamlessly create, share, and update slides and documents, and discuss amendments on Google Meet as needed.

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Reported impact

Business outcome

Provides daily, real-time metrics to customers with BigQuery Looker , and AI models on Vertex AI; Accelerates decision-making by reducing the time to obtain meeting summaries from two days to near real-time through Google Workspace with Gemini; Delivers B2G projects with confidence through services such as Cloud Run Cloud Identity and Access Management , and Cloud VPN

Solution

Internally, iBantu uses Google Workspace to seamlessly create, share, and update slides and documents, and discuss amendments on Google Meet as needed. With Google Cloud, Google Workspace, and Google AI, iBantu is using an integrated cloud ecosystem combined with the blockchain to provide Islamic social finance services to customers in Southeast Asia. With Google Workspace plus Google Cloud plus Gemini, we have a three-in-one unified ecosystem powering our business. Key components include Gemini 3 Pro provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis; Vertex AI provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis; Google Workspace with Gemini provides the collaboration or conversational surface where users work with AI assistance; Google Workspace provides the collaboration or conversational surface where users work with AI assistance; BigQuery stores and.

Solution architecture

7 components · 3 layers

Compute
- Gemini 3 Pro Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
- Vertex AI Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
- Cloud Run Runs serverless or virtualized application services with elastic scale for production AI workloads.
Storage
- BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
Serving
- Google Workspace with Gemini Provides the collaboration or conversational surface where users work with AI assistance.
- Google Workspace Provides the collaboration or conversational surface where users work with AI assistance.
- Looker Provides the governed semantic layer, dashboards, and self-service analytics used by business teams.

Architecture clues

Internally, iBantu uses Google Workspace to seamlessly create, share, and update slides and documents, and discuss amendments on Google Meet as needed. The integration of Gemini into the collaboration suite means team…
On the data side, the business uses to collect, analyze, and display data about funds utilization, dispersal, and approvals. iBantu also uses AI models on to create compelling, predictive stories for clients, with…
To connect businesses with Islamic social funding, the iBantu team needs to collaborate efficiently, respond quickly to clients, and use data to refine operations and report clearly to stakeholders.
With Google Cloud, Google Workspace, and Google AI, iBantu is using an integrated cloud ecosystem combined with the blockchain to provide Islamic social finance services to customers in Southeast Asia.
iBantu chose Google Cloud to integrate data, AI, and collaboration tools with its blockchain platform—helping provide greater transparency, insights, and accountability to the communities it serves.

Evidence from the source

Accelerates decision-making by reducing the time to obtain meeting summaries from two days to near real-time through Google Workspace with Gemini

Delivers B2G projects with confidence through services such as Cloud Run Cloud Identity and Access Management , and Cloud VPN

Fintech startup iBantu is using cloud, blockchain, and AI to modernize Islamic social finance—faith-based charitable giving, endowments, and interest-free lending tools designed to promote fairness and social good. The…

Provides daily, real-time metrics to customers with BigQuery Looker , and AI models on Vertex AI

The new way to balance wealth with Islamic social finance

With Google Cloud, Google Workspace, and Google AI, iBantu is using an integrated cloud ecosystem combined with the blockchain to provide Islamic social finance services to customers in Southeast Asia.

Transparency Evidence & methodology 70/100 reference value · 75% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value70/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence75%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
6 direct source quotes retained.
Date provenance0/10
The publication date has no documented provenance.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity6/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Google Cloud
iBantu customer story

First-party
https://cloud.google.com/customers/ibantu

Source type
Vendor-published customer story
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes

Date evidence

First archived Apr 13, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
Open date source
Sitemap last modified Apr 3, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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