From Assurance to Autonomous
Quality Systems.

Myridius uses EVOQ to turn quality engineering into autonomous systems where agents detect change, assess risk, optimize coverage, and execute validation under human-governed controls.

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Integrated Myridius capabilities that turn ambition into real impact

Convert QE from Services to Software

Myridius converts human-led testing into autonomous, software-driven systems with reusable engines, agents, and control points.

AGENTIC ENGINEERING

Swarm-Based QE Execution

A network of agents perceives change, assesses risk, defines validation paths, optimizes coverage, and executes testing autonomously.

AI-Native Application Support

QE Delivered Through Evoq, Governed by Design

Evoq provides the test generation engine, agent orchestration, synthetic data, and QE control tower that scales autonomous QE under human governance.

EXPLORE EVOQ
WHAT WE DO

Autonomous Quality from Code to Release.

Convert human-led testing into autonomous, software-driven quality systems delivered through Evoq.

QE Strategy & Operating Model

Redesigning QE operating models for autonomous, software-driven delivery

QE Strategy & Operating Model

We redesign the operating model, governance, and roadmap needed to move QE from human-led services to autonomous, software-driven delivery.

01

Autonomous QE Operating Model

Defining where agents execute, where humans govern, and how quality runs across the lifecycle

02

QE Transformation

Moving fragmented testing into an AI-native, scalable quality function

03

Context-Driven Test Strategy

Building domain-aware agents that use inputs, reviews, and risk signals to shape test strategy and validation priorities

04

AI-Native Release Assurance

Using AI-driven evidence, policy controls, risk scoring, and human approvals for governed releases

Agentic Test Automation

Deploying agents to generate, optimize, and execute autonomous test validation

Agentic Test Automation

We use agents to generate tests, adapt to change, optimize coverage, and execute validation autonomously across delivery.

01

Agentic Test Generation

Agents turn requirements, APIs, journeys, and code changes into usable scenarios and automation assets

02

Self-Healing Execution

Agents maintain and adapt automation as interfaces, workflows, and systems evolve

03

Validation Loops in CI/CD

Embedding agent-led validation, feedback loops, and release controls directly into delivery pipelines

04

Coverage Optimization Agents

Agents prioritize execution using change signals, historical failures, and business criticality

Agentic QE & AI Assurance

Validating AI systems using swarm-based agents for improved speed and control

Agentic QE & AI Assurance

We validate AI systems and apply autonomous, swarm-based execution where networks of agents improve speed, coverage, and control.

01

LLM & Agent Validation

Validating hallucinations, tool use, reasoning fidelity, and traceability from business intent to response

02

AI Code Verification

Verifying AI-authored code with static analysis, behavioral coverage, and policy-aligned controls

03

Swarm Orchestration

Coordinating agent planning, execution, validation, and failure handling under clear human oversight

04

RAG & Workflow Assurance

End-to-end validation of RAG pipelines, multi-agent workflows, and conversational systems for accuracy, grounding, and safety

Functional, API & Performance Testing

Autonomous quality for journeys and integrations that drive business outcomes

Functional, API & Performance Testing

We apply autonomous quality to the journeys, integrations, and performance issues that most affect customer trust and business outcomes. 

01

Journey & Regression Assurance

Agents track change across web, mobile, APIs, and core business flows to maintain regression confidence

02

API & Integration Assurance

Autonomous validation across contracts, schemas, integrations, and critical service dependencies

03

Mobile Assurance

Autonomous and human-governed validation across devices, journeys, and release cycles

04

Performance & Web Vitals

Continuous performance validation for load, responsiveness, resilience, and user experience

Test Data, Controls & Environments

Enabling autonomous validation at scale with data and environment controls

Test Data, Controls & Environments

We provide the data, environments, and control layers that autonomous quality needs to validate reliably at scale through Evoq. 

01

Synthetic Data Services

Safe, production-realistic data that expands coverage and removes provisioning bottlenecks

02

Test Data Platforms & Environments

Provisioning, refresh, and environment controls that reduce delivery delays and support autonomous execution

03

Data & Pipeline Assurance

Validation of ETL, warehouse, and data-flow accuracy across critical business processes

04

Data Governance Testing

Lineage, schema, rule, and compliance validation for regulated environments and governed AI delivery

Accessibility & Inclusive Quality

Integrating accessibility audits and autonomous automation into every release cycle

Accessibility & Inclusive Quality

Myridius embeds accessibility into autonomous quality through audits, remediation support, and automation built into every release cycle. 

01

WCAG Audits & Compliance

Accessibility assessments, remediation priorities, and evidence for compliance programs

02

Accessibility in CI/CD

Automated checks in delivery pipelines to catch accessibility regressions early

03

Assistive Technology Testing

Validation across screen readers, keyboard use, and alternative input methods

04

Localization & Inclusive UX

Quality checks for language, locale, and inclusive user experience across markets

Services 02
Service - Native AI Delivery
Service - Journey Orchestration
Service - Human Centricity
Culture 03
HOW WE WORK

Operating Model

Myridius redesigns QE for the AI era.

Myridius shifts QE from a human-led service model to an AI-native operating model that supports autonomous execution across the engineering lifecycle.

Quality Gap Diagnosis

Locating escaped defects, cycle-time drag, and coverage gaps

Operating Model Redesign

Defining where agents execute, where humans govern, and how quality fits delivery

Lifecycle Integration

Connecting quality to change, code, data, release, and production signals

Transformation Roadmap

Moving from manual testing to autonomous quality systems

AI-Native QE

Myridius uses AI-native execution to expand coverage and cut manual effort.

Myridius brings AI-generated test cases, self-healing automation, validation loops, and agent-led triage into the delivery model.  

AI-Generated Test Cases

Built from requirements, APIs, journeys, and code change

Self-Healing Execution

Reducing maintenance as interfaces and workflows evolve

Validation Loops

Using delivery and production signals to sharpen coverage

Agent-Led Triage

Classifying failures and routing action faster

Swarm Execution

Myridius runs QE through networks of agents.

Myridius uses swarm-based execution, so QE is orchestrated by agents that perceive change, assess risk, optimize coverage, and execute testing autonomously.

Change-Aware Agents

Reading system changes and risk signals continuously

Coverage Agents

Selecting the highest-value journeys and validation paths

Execution Agents

Generating, running, and maintaining tests in pipeline

Triage Agents

Classifying failures and supporting governed release decisions

QE Delivered

Myridius delivers QE through the Evoq operating layer.

Evoq turns the autonomous QE model into reusable delivery by connecting productized accelerators, orchestration, data, and control.

Test Generation Engine

Converting intent and change into executable test assets

Agent Orchestration Layer

Coordinating planning, execution, validation, and triage

Synthetic Data Services

Scaling safe, production-like test data

QE Control Tower

Centralizing risk, coverage, evidence, and release readiness

Economic Model Shift

AI-native architecture. Built to compound in value.

By combining AI-native execution, swarm orchestration, and Evoq reuse, Myridius increases coverage and confidence while lowering costs per cycle. 

Lower Cost per Test Cycle

Through reuse, automation, and better targeting

Higher Coverage

Without corresponding headcount increase

Faster Validation

Through autonomous execution and agent-led triage

Better Release Economics

Through reusable quality software delivered through Evoq

1 / 5
INDUSTRY EXPERTISE

Autonomous QE, Tuned to Your Industry

AI-first, autonomous quality engineering
that delivers measurable business outcomes.

Banking & Financial Services
Digital Assurance · Omnichannel QA · Payments
Banking & Financial Services
  • AI-first assurance for portals, apps, and payments
  • Autonomous coverage for critical customer journeys
  • Speed and reliability driving digital customer trust
Insurance
Policy Systems · Claims · Compliance Testing
Insurance
  • AI-first testing for administration, claims, and journeys
  • Autonomous regression for high-change insurance platforms
  • Ensuring compliance assurance across digital insurance systems
Travel & Hospitality
Booking Platforms · Loyalty · Mobile QA
Travel & Hospitality
  • Autonomous assurance for high-traffic booking platforms
  • Performance validation for loyalty and digital systems
  • Protecting revenue and NPS from quality failures
Manufacturing & Logistics
ERP · Supply Chain · B2B Platform Testing
Manufacturing & Logistics
  • AI-first validation for ERP and supply chain
  • Autonomous assurance for EDI and dealer portals
  • Preventing downtime to protect operations and revenue
Retail & Consumer
Commerce · POS · Peak Load QA
Retail & Consumer
  • AI-first assurance for storefronts, POS, and inventory
  • Autonomous coverage optimized for peak sales events
  • Eliminating platform failures for critical retail operations
Healthcare & Life Sciences
Physician Experience · Patient Portals · Health Data QA
Healthcare & Life Sciences
  • AI-first assurance for portals and clinician applications
  • Validating health data platforms for maximum integrity
  • Ensuring quality for critical continuity of care
Hi-Tech & Startups
AI Verification · SaaS QE · Rapid Release
Hi-Tech & Startups
  • Autonomous verification for AI-generated code and products
  • Quality assurance for rapid-release SaaS platforms
  • Balancing release velocity with model correctness
Non-Profit & Social
Accessibility · Multilingual · Cost-Efficient QA
Non-Profit & Social
  • AI-first accessibility QA and localization testing
  • Right-sized automation for mission-driven organizations
  • Maximizing QE investment for direct beneficiary impact
Education & EdTech
LMS · Accessibility · Peak Load QA
Education & EdTech
  • AI-first assurance for LMS and learning platforms
  • Autonomous verification of student journeys and assessments
  • Supporting platform scalability for peak enrollment periods
01 / 09
WHY CHOOSE US

In the Agentic AI Era, Quality Runs as a System

Enterprises choose Myridius for their most complex autonomous delivery and assurance cycles.

01

Outcome Assurance, Built AI-First

Myridius uses an AI-first QE model to protect business outcomes with faster validation, better coverage, and stronger release confidence.

02

Agents Execute. Humans Govern

AI recommends and executes across the lifecycle; humans govern policy, exceptions, and release decisions.

03

Agentic QE is a Different Discipline

AI-generated tests, self-healing execution, validation loops, and agent-led triage require a different QE discipline.

04

Evoq Connects the Model

Evoq connects test generation, synthetic data, compliance agents, orchestration, and a QE control tower in one operating layer.

05

Better Economics by Design

Lower cost per cycle, more coverage without matching headcount growth, and stronger release confidence.

06

Domain-Led Assurance, Delivered AI-First

Myridius combines domain expertise with AI-first quality engineering to apply the right controls, coverage, and assurance model for each business context.

CLIENT IMPACT
Fraud & Financial Crime

Real-time fraud intelligence at scale

For a 3rd Largest US Credit Card Brand

Event-driven, ML-powered fraud detection platform processing 4,000+ transactions per second for one of America's largest credit card issuers.

The Challenge

A top-3 US credit card brand needed to combat increasingly sophisticated fraud at scale while migrating 50TB of legacy data without disrupting live transaction processing for 40M+ active cardholders.

Outcomes
  • $10M+ annual fraud losses eliminated
  • 42% faster case resolution
  • >90% alert accuracy
  • Real-time Kafka streaming and ML-based scoring on AWS
AIOps & Observability

AIOps-driven infrastructure excellence for global event operations

For a Global Leader in Live Entertainment & Ticketing

Comprehensive AIOps-powered monitoring framework on AWS serving millions of fans across 40+ countries.

The Challenge

A global live entertainment company managing tens of thousands of events annually struggled with CMDB performance bottlenecks and limited monitoring capabilities on AWS, risking disruption to mission-critical operations.

Outcomes
  • 99.95% system uptime achieved
  • 50% reduction in MTTR
  • AI-driven alert correlation across DataDog, BigPanda, and CloudWatch
  • Proactive threshold monitoring across global infrastructure
Digital Guest Experience

Seamless luxury at every touchpoint

For an Ultra-Luxury Cruise Line

Advanced self-service portals and custom applications connecting every stage of the guest journey with complex third-party integrations.

The Challenge

An ultra-luxury cruise line needed to digitally enable the entire guest journey with self-service portals and complex integrations across shoreside and shipboard systems, while maintaining exacting luxury brand standards.

Outcomes
  • New digital revenue streams unlocked — excursions, dining, spa
  • Seamless connected experience from pre-voyage to onboard
  • Unified digital platform across all guest touchpoints
  • Complex third-party integrations delivered at luxury-grade standard
Manufacturing & Industrial

Modernizing enterprise infrastructure through cloud integration

For an International Chemical Waste Recycling Technology Leader

Cloud infrastructure and legacy modernization enabling real-time operational visibility and revenue validation for distributed recycling operations.

The Challenge

Outdated technology stack, zero field visibility, and inability to validate solvent recovery for revenue recognition.

Outcomes
  • 500,000+ hourly data records processed
  • Accurate revenue validation via real-time monitoring
  • Full field visibility across distributed operations
  • Critical technical debt eliminated with future-proof architecture
LET'S TALK

Lower Cost. Broader Coverage. Faster Releases with Confidence.

Start with an AI-native QE assessment to identify where autonomous execution can reduce cost per cycle, expand coverage, and improve release confidence.

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