Removing friction between people, systems and data.
Agile Labs designs, builds, integrates and modernises business software for organisations operating at scale.
Agile Labs is a Singapore enterprise software engineering company. We design, build and secure enterprise software and AI systems. For more than a decade, we have built important software, including systems operating at national scale and in air-gapped environments.
We also assess whether software and AI systems are safe and ready to run. Software is easier to build than ever. Making sure it is safe to run is just as important.
Security is part of how we build from the start. We design for data protection, secure access and sound architecture throughout development. Whether we build the software or assess a system built by someone else, the goal is the same: software that is safe and ready to run.
Agile Labs is a Singapore software engineering company. Since 2016 we have built, taken over, secured and maintained software and AI systems.
Explore Engineering →We assess software and AI systems for security, risk and readiness for production, across systems built internally, externally or with AI.
Our engineers inside your team, on your systems and your process.
Explore Team Extension →Give your organisation one secure place to use AI, with control over models, data and access.
Explore AI Workspace →Software other people depend on: platforms that run an operation worldwide, systems taken over from vendors who stopped delivering, and AI products tested before they met an enterprise review.
Sustainability techecoSPIRITSAfter a year without a usable product, Agile Labs took over the build and delivered CircularOne: partners, hardware, IoT devices and operational data.Runs the operation worldwide, and the same team extends it today.Read case study →
AI softwarePavureA private AI workspace assessed for enterprise readiness, with the controls its findings called for built and verified.Controls built, re-tested and evidenced for enterprise review.Read case study →
Consumer healthUltHealthAn AI health application tested for what it could be made to do, with every confirmed attack closed and held closed by a regression test.Findings verified, and held closed by regression tests.Read case study →
What we are learning from building, securing and running software and AI systems. Thirty pieces so far, written by the engineers who do the work.

Perspectives · AI
The two figures everyone quotes do not survive being traced. What the underlying studies do establish is where the failure sits: problem definition, data, deployment infrastructure, ownership and measurement.
AI systems
AI SECURITY
A test that ends at the model’s reply has established nothing. It ends at the action the system took.
AI SECURITY
AI SECURITY
Running it
OPERATIONS
Routing is the least valuable thing it does. Identity, budgets, evidence and an off switch are the reasons to build one.
OPERATIONS
OPERATIONS
OPERATIONS
OPERATIONS
Engineering
SOFTWARE ENGINEERING
A randomised trial found experienced developers 19% slower with AI tools, while believing they were 20% faster.
SECURITY
SOFTWARE ENGINEERING
SOFTWARE ENGINEERING
Build better software, with zero surprises