The relentless pursuit of quality, speed and cost reduction.
You're here because you're navigating the same questions today's Business and Technology leaders are facing:
How do we effectively leverage AI in testing? Test AI Agents at scale?
How do we automate true end-to-end testing without script maintenance eroding value?
Can I have a single solution for all my test automation needs? Without endless frameworks stitched together and upkeep headaches?
How can we accelerate testing cycles by 30%+ without compromising quality?
What does it really take to shift from traditional Software Quality Assurance to Software Quality Engineering with tangibles?
How do we centralize, automate, and elevate daily on-demand reporting?
What KPIs truly matter for quality, speed, and cost impacts?
These aren't isolated challenges; they're systemic barriers to scaling technology with consistency, quality and optimized cost.
Independent Expertise
As one of the few truly independent specialists in the field, we've had the privilege of non-bias perspective, many years of exposure across many industries to learn what works and what does not.
Thought Leadership
Innovation is the fruit of experience, knowledge and talent visualizing beyond today's trends and sales driven noise. Thought leadership is the motion of defining what tomorrow's elevation of QE will be, and how to get you there.
We don't just improve Software Quality Engineering and Testing.
We are redefining how quality engineered evolves in the world of AI.
Featured Core Services and Products
Quality Can't Keep Up With Change Unless We Rethink It Entirely
Change is no longer episodic in technology. It's constant, compounding, and accelerating.
Yet many organizations are still trying to manage quality through models built for a slower world: siloed squads, fixed testing capacity, partial visibility into epics and features, and quality teams disconnected from broader delivery decisions.
That approach no longer scales. And more importantly, it no longer protects quality.
The reality is this: quality can't be owned by a team, a phase, or a toolset. In today's delivery environments, quality must operate as a system.
The future of Quality Engineering requires unified awareness across the entire SDLC; from strategy and architecture through build, release, and change. Quality must be embedded end-to-end, acting as the connective tissue between teams, platforms, and decisions.
This isn't just a tooling problem. It's an operating-model problem.
Enter Singularity, the next evolution of Quality Engineering
We believe the next chapter of Quality Engineering is what we call Singularity.
Singularity is a flexible, always-on communication matrix where centralized intelligence and decentralized execution coexist. It replaces static governance with continuous awareness and slow feedback loops with real-time insight.
By leveraging AI agents and system-level & business flow perspectives (such as MM360 SPF views), teams can instantly understand the impact of change across the delivery ecosystem, before risk materializes, before velocity drops, before quality erodes.
Decisions happen faster. Trade-offs become visible. Quality stops being reactive.
Singularity isn't a framework or a new process overlay. It's a unified hive-mind in action, a way of operating that's structurally designed to keep pace with constant disruption.
In a world where technology never slows down, Quality Engineering can't either.
The organizations that succeed won't be the ones that test faster or automate more scripts. They'll be the ones that engineer quality as a living system; adaptive, intelligent, and always aligned to change.
That's the future we're building toward. And it's already starting.
Pedro Asper
CEO, Miipe
Our Impact - What Success Looks Like
Real-world results delivered through our comprehensive Quality Engineering solutions.
Innovation in Quality Engineering Technology
The best Quality Engineering technology is built by those who use it every day. Decades of hands-on experience across diverse clients, projects, and tools showed us what works, what doesn't, and what was missing.
That insight led us to build Katsu, developed in close collaboration between our engineering and delivery teams. Continuously evolving to meet real-world demands, Katsu equips our teams with the most advanced capabilities to tackle any challenge.
Today, Katsu sits at the core of everything we do. Powered by AI, it elevates efficiency and effectiveness to next-generation levels.
Katsu delivers Quality Engineering in a box, from analysis and design to static testing, execution, reporting, and KPI capabilities unmatched by any single platform in the market.
Total Quality Management in the Age of AI
Total Quality Management (TQM) remains essential, but in software Quality Engineering it must evolve. We see TQM as an intelligent, end-to-end system where quality is designed, learned, and optimized continuously through the combined power of human expertise, common sense, and AI.
Quality is not an afterthought or a testing phase. It begins with intent, is shaped by data, and is enforced through disciplined engineering across the entire software lifecycle. AI accelerates this process by amplifying signal, reducing noise, and enabling earlier, smarter quality decisions.
Modern TQM demands a Hybrid Quality Engineering model; one where AI-driven automation, analytics, and insight work in harmony with human judgment to minimize data pollution, reduce variability, and prevent defects before they emerge.
For us, AI-enabled TQM means predictable quality at scale, allowing organizations to move faster, innovate with confidence, and deliver consistently superior customer experiences.