Founder-led AI Quality Engineering

We test AI, and everything AI builds.

Kaycore Technologies is a founder-led AI Quality Engineering firm. We partner with startups and enterprises on two problems that traditional QA was never designed for.

AI systems that behave unpredictably.

LLMs and generative AI are probabilistic, so the same input can produce different outputs. We validate, test, and safeguard these systems for accuracy, safety, and consistency in production, not just in demos.

Software built by AI.

Websites and apps created with Claude Code, Cursor, and other AI coding tools ship quickly, but often with hidden defects. We catch those defects before launch, so you release sooner and spend less fixing problems afterwards.

Senior Engineers OnlyAI-First ApproachNo Junior Hand-offs

Corporate Intro

Kaycore Technologies in Focus

Learn about our next-generation quality engineering services and the high-impact digital healthcare products we are building.

Custom AI QA Frameworks

Testing Reimagined with Artificial Intelligence

We build custom AI QA automation frameworks into your QA lifecycle, so testing keeps pace with how fast you ship.

AI-Powered Test Generation

Automatically generate comprehensive test cases from user stories, PRD documents, and API specs using LLM workflows built for your stack.

Self-Healing Automation

Our AI frameworks are built to detect UI changes and repair broken test selectors, so your team spends less time maintaining tests and more time shipping.

Predictive Defect Analysis

Analyze historical code commits and test failures to predict where bugs are most likely to occur in upcoming releases.

Intelligent Test Selection

Run only the tests affected by code changes. Dramatically reduce CI/CD pipeline execution time without sacrificing coverage.

The Kaycore Difference

Why Choose Kaycore?

We don't just run tests. We engineer quality at scale.

AI-First Approach

AI-First Approach

We test AI, and everything AI builds, using AI to make that testing smarter, faster, and more reliable than traditional methods.

Senior Engineers Only

Senior Engineers Only

Every team member has 5+ years of experience. No juniors learning on your project. The engineer who scopes your work is the engineer who does it.

Startups & Enterprises

Startups & Enterprises

We serve both startups and enterprises. Start with a fixed-scope audit or a single engineer, and scale to a continuous quality retainer as you grow.

Domain Expertise

Domain Expertise

Deep specialization in AI startups, SaaS platforms, FinTech, and healthcare and healthtech. These are the industries where quality failures cost millions.

Embedded in Your Team

Embedded in Your Team

We join your Slack, attend your standups, and work in your timezone. We are not an outsourced vendor, but a true partner.

Outcome-Driven

Outcome-Driven

We measure success by bugs caught in staging, not test cases written. Real quality metrics, not vanity reports.

Our Process

How We Work Together

Our approach combines rigorous testing, risk-first validation, behavioural evaluation, and human-in-the-loop review. Senior engineers only: the person who scopes your work is the person who does it.

01

Discovery & Audit

We deep-dive into your product, codebase, and current QA processes to identify gaps, risks, and quick wins.

02

Strategy & Planning

Custom test strategy tailored to your tech stack, release cadence, and business-critical user flows.

03

Build & Automate

Our engineers build robust, AI-powered test frameworks integrated directly into your CI/CD pipeline.

04

Monitor & Optimize

Continuous monitoring, test maintenance, and optimization. Quality improves with every sprint.

FAQ

Frequently Asked Questions

What is AI Quality Engineering?

AI Quality Engineering (AI-QE) is the discipline of systematically validating non-deterministic AI and LLM systems for safety, factual accuracy, robustness, and drift, both before and after they reach production. Unlike traditional QA, which checks deterministic pass/fail logic, AI-QE is built to bound the uncertainty of probabilistic systems.

How is testing AI different from traditional QA?

Traditional software is deterministic: the same input always produces the same output. AI systems are probabilistic and have an effectively infinite input space, so they can hallucinate, drift over time, or fail under adversarial prompts. AI-QE relies on statistical evaluation, adversarial testing, and continuous monitoring rather than fixed assertions.

How do you test an LLM for hallucinations?

We build golden datasets and automated evaluations that measure factual accuracy and grounding (whether an answer faithfully reflects its retrieved context), run adversarial and jailbreak probes, and track output consistency and drift across model and prompt changes.

What does an AI risk audit include?

A model safety and bias assessment, failure-mode and risk mapping, an adversarial and security-exposure review, and a prioritized remediation roadmap you can act on.

Do you test websites and apps built with AI coding tools?

Yes. Websites and apps created with Claude Code, Cursor, and other AI coding tools ship quickly, but often with hidden defects. We catch those defects before launch, so you release sooner and spend less fixing problems afterwards.

Do you work with startups or enterprises?

Both. We partner with startups and enterprises, from a fixed-scope audit before launch to a continuous quality retainer.

Do you work with healthcare and other regulated AI?

Yes. Regulated and healthcare AI QA is one of our core services, and our founder is a physician. We serve AI startups, SaaS platforms, FinTech, and healthcare and healthtech companies.

Ready for a Real Partner?

Our mission: to help builders ship with certainty, not crossed fingers. Talk to our lead quality engineers about the AI you are building, or the software AI is building for you.

  • Senior engineers only
  • You keep the code and datasets
  • A lead architect reviews your request
  • Zero spam, no BDRs
Kaycore

Kaycore AI

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