Tanla / Acclerate Growth
A quarter
in short.
From global validation and industry recognition to AI-native innovation and thought leadership, this quarter reflected how Tanla continues to build trusted digital interactions at scale.
Here's a look at the highlights that shaped the quarter.
Hover over each icon to see what defined our quarter.
GLOBAL IMPACT
Independent London Business School case study.
RECOGNITIONS
Governance, ESG and social impact recognised across leading national and global platforms.
INNOVATION CULTURE
T-Hack 2.0 drove 12 use cases and 5 patent applications.
THOUGHT LEADERSHIP
New blogs, videos, reports and research shaping conversations on digital trust and AI.
Innovation Has a New Address: Tanla Inaugurates Its Indonesia Office
Read More
London Business School has published an independent case study on how Tanla and Indosat partnered to tackle Indonesia's US$5 billion financial fraud challenge.
Authored by Professor Michael G. Jacobides, M. Dalbert Ma, and Shanni Elcock, the study chronicles the deployment of Wisely.ai across Indosat's network of more than 100 million subscribers, demonstrating how AI-powered trust infrastructure can protect consumers at national scale while delivering measurable commercial outcomes.
The case study was launched in May 2026 at Indosat's headquarters, with Dean of London Business School, Sergei Guriev, joining virtually, celebrating a partnership that demonstrates what is possible when two organisations choose to build together, placing impact before monetisation.
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Independent
London Business
School Case Study
Documenting one of the world's largest AI-led telecom trust deployments.
100M+
Subscribers
Protected
Real-time protection across SMS, Voice and OTT channels.
2Bn+
Threats
Stopped
Automatically detect and block suspicious activity with intelligent algorithms that identify common scam patterns.
Fraud
Detection
Algorithms
Automatically detect and block suspicious activity with intelligent algorithms that identify common scam patterns.
Trusted networks are becoming national infrastructure.
As digital fraud grows more sophisticated, telecom operators are evolving from connectivity providers into trust enablers - using Al, intelligence, and ecosystem collaboration to protect consumers in real time.
One challenge. Four teams. Twelve use cases. One opportunity to build.
T-Hack 2.0 brought Tanlaites together to reimagine Consent as an AI-native platform that puts users in control of their digital interactions. From bold ideas to working concepts, the hackathon embodied the mindset of an N of 1 Enterprise by building differentiated solutions through collaboration, rapid experimentation and customer-first innovation.
Innovation
Turning bold ideas into AI-native solutions.
Impact
Building solutions that solve meaningful customer challenges.
Excellence
Raising the bar with every iteration.
Ownership
Taking ideas from concept to execution.
Speed
Moving quickly from ideation to innovation.
Copyright © 2026 Tanla. All rights reserved.
Tanla / Acclerate Growth
London Business School has published an independent case study on how Tanla and Indosat partnered to tackle Indonesia's US$5 billion financial fraud challenge.
Authored by Professor Michael G. Jacobides, M. Dalbert Ma, and Shanni Elcock, the study chronicles the deployment of Wisely.ai across Indosat's network of more than 100 million subscribers, demonstrating how AI-powered trust infrastructure can protect consumers at national scale while delivering measurable commercial outcomes.
The case study was launched in May 2026 at Indosat's headquarters, with Dean of London Business School, Sergei Guriev, joining virtually, celebrating a partnership that demonstrates what is possible when two organisations choose to build together, placing impact before monetisation.
Independent
London Business
School Case Study
Documenting one of the world's largest AI-led telecom trust deployments.
100M+
Subscribers
Protected
Real-time protection across SMS, Voice and OTT channels.
2Bn+
Threats
Stopped
Automatically detect and block suspicious activity with intelligent algorithms that identify common scam patterns.
Fraud
Detection
Algorithms
Automatically detect and block suspicious activity with intelligent algorithms that identify common scam patterns.
Trusted networks are becoming national infrastructure.
As digital fraud grows more sophisticated, telecom operators are evolving from connectivity providers into trust enablers - using Al, intelligence, and ecosystem collaboration to protect consumers in real time.
