We help teams design and deliver trustworthy software and AI systems—built for reliability, change, and production reality.
K11 Software Solutions is a technology consultancy specializing in software development, AI development, and AI-powered test automation. We partner with engineering teams to modernize delivery, strengthen quality engineering, and bring AI initiatives to production with discipline—not hype.
Our work spans end-to-end execution: architecture and implementation, test strategy and automation, evaluation and assurance, and scalable CI/CD workflows. The goal is consistent outcomes—systems that are testable by design, resilient under change, and auditable in production.
Deliver production-ready software, automation, and AI systems that improve outcomes, reduce operational risk, and raise the engineering quality bar—through clear architecture, measurable validation, and reliable delivery practices.
We prioritize correctness, maintainability, and clarity—so systems stay stable as they evolve.
We build for observability, deterministic testing, and fast feedback loops across the stack.
We apply evaluation, assurance, and red teaming so AI behavior is measurable and auditable in production.
We design CI/CD workflows and automation strategies that scale with teams, traffic, and complexity.

K11 Software Solutions is founder-led and engineering-driven. Leadership is hands-on in architecture, delivery, and quality—ensuring every engagement reflects the same standards we teach: deterministic automation where possible, rigorous evaluation for AI behavior, and documentation that makes systems auditable and maintainable.
We partner closely with client stakeholders—from engineering managers to architects and SDETs—to align on measurable outcomes, delivery milestones, and operating practices that endure beyond the initial build.
If you want deeper technical guidance, implementation support, or an assurance-first approach to AI and automation, we can help.
Building resilient software and AI systems with engineering discipline, measurable validation, and scalable delivery.