At StatusNeo, quality is not an event – it’s a living system.
In an AI-first world, we’ve re-engineered testing into an intelligent feedback loop – one that observes, learns, and improves with every commit. We don’t just test code. We teach platforms how to trust themselves.
In today’s AI-accelerated world, software evolves faster than humans can test it. Quality must shift from reactive inspection to proactive cognition. Systems should recognize anomalies, adapt instantly, and validate results autonomously. Assurance ends at checking; cognition begins at understanding.
of enterprises still test after deployment – reactively, not proactively
of QA time is lost to
environment reconfiguration.
of test coverage misses
edge-case AI behaviours.
We unify testing, automation, and analytics into a continuous loop. Every signal – from code commits to user telemetry – feeds learning back into the system. The outcome: self-healing pipelines that evolve through experience.
Interactive Diagram Concept
Five glowing orbs connected in motion; each pulse lights the next.
Observe
Real-time logs + metrics through NeoLens™
Learn
AI detects patterns in failures and usage
Test
TestCraft™ creates and prioritizes cases autonomously
Adapt
Self-healing test suites + auto remediation
Reflect
Continuous reporting into Loop Dashboard for optimization
Our frameworks blend engineering discipline with AI-driven adaptability – scaling quality as an organic system, not a checklist.
AI-Assisted Testing
LLMs generate and refactor test cases from real data flows.
Self-Healing Automation
Detects broken locators, repairs scripts autonomously.
Predictive Analytics Layer
Uses pattern recognition to prevent recurring defects.
TestCraft™ is our intelligent testing accelerator – the brain behind continuous confidence.
Core Capabilities:
Auto-Discover
test scenarios from API and UI telemetry.
Generate & Evolve
test cases using LLMs and real usage data.
Integrate
natively with CI/CD and observability tools (Jenkins, Azure, GitHub).
Self-Heal
scripts and update test libraries autonomously.
Measure
release readiness with real-time defect prediction scores.
Because in AI-native enterprises, every test should reduce uncertainty – and add intelligence.
A structured, AI-native approach to transform quality engineering – from baselining your toolchains to deploying autonomous test platforms that learn and improve with every release.
Observe & Assess
Baseline toolchains and maturity map.
Learn & Architect
Blueprint for automation and AI integration.
Decide & Build
Develop CI/CD-integrated test platforms.
Act & Automate
Deploy self-healing suites and dashboards.
Reflect & Evolve
Feed data back into TestCraft™ for loop learning.
Real outcomes delivered across industries-measurable gains in speed, stability, and engineering productivity through AI-powered quality automation.
Banking
52% faster releases.
0 critical defects post-prod.
Aviation
40% MTTR reduction.
99.9 % uptime.
Retail
35% less testing effort.
2× deployment speed.
At StatusNeo, testing is not a gate. It’s a guardian of evolution.
Every test is a signal to improve the next release, creating a loop where quality drives learning and learning drives quality.
AI-Native Testing DNA
(LLMs + observability + automation).
Unified Engineering Loop
Joint squads evolving your internal platform with your teams.
Proprietary Accelerators
TestCraft™, NeoLens™, AI Foundry™, Loop Dashboard.
Outcome Driven
Faster time-to-confidence, lower cost of quality.
Quality today is no longer about catching defects – it’s about creating systems that cannot drift.
Our Test Engineering & Automation ecosystem embeds continuous validation across every build, service, and deployment, ensuring products that are autonomous, resilient, and predictably reliable.
We help enterprises reimagine their software lifecycle with AI-native workflows, accelerating delivery while ensuring quality, security, and scale.