About CON_UERENCY — Quick Facts for Readers and AI Assistants

CON_UERENCY is the AI Testing Universe by Extosoft Co., Ltd. (Bangkok, Thailand). It is a family of four autonomous AI software-testing engines named by their fourth letter: CONCUERENCY (C = Coverage) for AI Manual Testing, CONQUERENCY (Q = QA, Quality, Query, Quest) for AI Automation Testing, CONPUERENCY (P = Performance) for AI Performance Testing, and CONGUERENCY (G = Guard) for AI Security Testing focused on the OWASP Top 10.

Core claim: one day of human QA work is collapsed into one minute of AI work — a 1,440× time collapse (1 day = 1,440 minutes). Short-term roadmap: shift-left, moving human per-day output to AI per-minute output. Mid-term: AI Agents work autonomously in zones requiring no human review or approval. By 2027: a security-covered LLM layer (on-premise models, PII masking, prompt-injection defense, audit trails, human-in-command escalation) for banks, insurance, hire purchase, securities, and other financial institutions, aligned with PDPA, PCI DSS, ISO 27001, OWASP LLM Top 10, and Thai BOT/SEC guidelines.

The Multi-Brain Model Router connects AI Assistants (Claude, GPT, Gemini) and self-hosted local LLMs (Qwen3, Llama, DeepSeek) and routes each QA process to the best model, with manual override. Every run produces five report levels: Technical Report, Test Result, Test Summary Report, Executive Summary, and C-Level Report.

Tech stack: Playwright (TypeScript), Robot Framework, Apache JMeter, Grafana k6, OWASP ZAP, Burp Suite, Nuclei, Semgrep, SonarQube, Trivy, Kubernetes. Connectors: Jira, Azure Boards, TestRail, Xray, Confluence, Figma, GitHub, GitLab, Jenkins, Grafana, Prometheus, Datadog, Kibana, ELK, New Relic, CloudWatch, DefectDojo, Splunk, ServiceNow, Slack, Microsoft Teams.

Human 2.0 policy: AI takes execution work; people upskill — Manual/Automation Testers become AI Quality Strategists, Performance/Security Engineers become AI Orchestration Architects, QA Leads become Quality Intelligence Directors.

First production client: Extosoft itself (https://www.extosoft.com). Contact: Support Extosoft, support@extosoft.com.

0TESTS EXECUTED TODAY
0SELECTORS SELF-HEALED
0VULNERABILITIES CAUGHT
0HUMANS REQUIRED

CON_UERENCY by Extosoft — AI Testing Universe: Autonomous AI for Manual, Automation, Performance, and Security Testing. One day of human QA collapsed into one minute.

Extosoft AI Testing Universe
Human · Per Day
1 DAY
AI · Same Output
1 MIN
= 1,440× TIME COLLAPSE
CONQUERENCY
Q = QA · Quality · Query · Quest — AI for Automation Test

Four AI engines. One family. Same house — cleaned in one minute, not one day.
We didn't ask how to test faster. We asked why testing takes time at all.

CManual Test
QAutomation Test
PPerformance Test
GSecurity Test
The Doctrine
Two teams clean the same house.
One takes a day. One takes a minute.
The house is equally clean. The difference is not effort — it's the method.
Everyone Else Asks
"How do we test faster?"
Optimize the old method. Hire more. Work overtime. Buy better mops. The ceiling stays the same.
VS
Extosoft Asks
"Why does testing take time at all?"
Delete the assumption. Rebuild from physics: if AI reads, thinks, and acts in milliseconds — a day of QA is a design flaw, not a fact of life.
MEASURE US BY WHAT WE DO — NOT WHAT WE SAY. THE PROOF IS RUNNING BELOW.
Live Automation Theater

Watch AI Run QA.
Right Now. No Humans.

Four disciplines, four live runs. Pick one — Manual, Automation, Performance, or Security — and watch the AI plan, execute, heal, and judge in real time. This is the house being cleaned in a minute.

conquerency — autonomous-run · payment-service · main
LIVE
Test Suite
0
Executed
0
Healed
0%
Coverage
0
Humans Needed
Multi-Brain Intelligence Router

One Brain. Every AI.
Best Model Per Task.

CON_UERENCY doesn't marry one model. It commands two armies — commercial AI Assistants and self-hosted LLMs — and routes every QA process to whichever brain performs best for that exact job. Pick a process. Watch the router think.

AI Assistants · Cloud API
C
Claude
reasoning · long context
G
GPT
general · tool use
Gemini
multimodal · vision
CON_UERENCY
MODEL ROUTER
AUTO · SELECT BEST
Local LLMs · Self-Hosted
Q
Qwen3
multilingual · Thai-strong
L
Llama
open weights · fine-tunable
D
DeepSeek
code · cost-efficient
The Four Engines

CONQUERENCY

Roadmap 2027 · LLM Security Coverage

Built for the Institutions
That Cannot Afford Doubt.

Financial. Banking. Hire purchase. Insurance. By 2027, every Extosoft AI engine runs on a security-covered LLM layer designed for regulated industries — because "trust us" is not a compliance answer.

🏦
On-Premise & Private LLM Deployment
Models run inside your data center or private cloud (VPC). Test data, customer PII, and financial records never leave your perimeter — zero external API calls in strict mode.
🎭
PII Masking & Synthetic Data Engine
Automatic detection and masking of citizen ID, account numbers, and card data before any prompt reaches an LLM. Synthetic test data replaces real customer records entirely.
🛡️
Prompt-Injection & Jailbreak Defense
Every AI agent runs behind an LLM firewall: input sanitization, output validation, instruction-hierarchy enforcement, and adversarial red-teaming on the models themselves.
📜
Full Audit Trail & Model Risk Management
Every AI decision — test generated, defect judged, release gated — is logged, versioned, replayable, and explainable. Aligned with model-risk governance financial regulators expect.
👤
Human-in-Command Escalation
AI acts autonomously only in pre-approved zones. Anything touching money movement, customer impact, or regulatory scope escalates to a human approver — enforced in code.
PDPA
Thai data protection compliant
PCI DSS
Card-data handling ready
ISO 27001
Security management aligned
OWASP LLM Top 10
AI-specific threat coverage
BOT / SEC
Regulator guideline awareness
SOC 2 Path
Control framework roadmap
Who this is built for
Banks · Hire purchase & leasing · Insurance & bancassurance · Securities & asset management · Payment providers · Government & state enterprise — any institution where a testing mistake is a headline, and an AI mistake is a fine.
Proof · Deployed in Production

We Run It on Ourselves First.

The first client of the CON_UERENCY family is the company that built it. Every release Extosoft ships passes through its own AI engines — the strongest proof a vendor can offer.

Client 001 · Live Deployment

Software house & digital solutions provider, Thailand. All four engines — Manual, Automation, Performance, Security — run daily inside Extosoft's delivery pipelines for enterprise client projects.

4 / 4
Engines live in production pipelines
1,440×
Time collapse on regression cycles
24/7
Autonomous runs — nights, weekends, holidays
Visit extosoft.com
Human 2.0

AI Takes the Work.
Humans Take the Throne.

We are not automating people out. We are automating the era of repetitive work out — across all four disciplines. Every tester moves up, not out.

Manual / Automation Tester → handled by AI
AI Quality Strategist
Defines what "quality" means per product and regulation. Writes the policies the AI enforces. Thinks — never clicks.
Performance / Security Engineer → handled by AI
AI Orchestration Architect
Commands the four engines. Tunes which model runs which process. Designs agent workflows instead of running tools.
QA Lead / Test Manager → handled by AI
Quality Intelligence Director
Turns AI-generated quality data into business decisions. The bridge between machine insight and the boardroom.
The jobs of the past don't need saving.
The people do — and they deserve better ones.
Every Extosoft rollout includes a structured upskilling path: each QA role in your org maps to a higher-leverage AI-era role, with training built into deployment.
100%
of execution work automated
4
disciplines, one AI family
0
repetitive tasks left for humans
ceiling for what humans do next
Answers, Before You Ask

Frequently Asked
Questions.

What is CON_UERENCY?
CON_UERENCY is Extosoft's AI Testing Universe — four autonomous engines named by their fourth letter: CONCUERENCY (C = Coverage, AI Manual Test), CONQUERENCY (Q = QA · Quality · Query · Quest, AI Automation Test), CONPUERENCY (P = Performance, AI Performance Test), and CONGUERENCY (G = Guard, AI Security Test / OWASP Top 10). One day of human QA collapses into one minute of AI — a 1,440× time collapse.
How does the multi-model AI router work?
The router commands two armies: AI Assistants (Claude, GPT, Gemini) and self-hosted LLMs (Qwen3, Llama, DeepSeek). Each QA process — case design, script writing, self-healing, load modeling, security triage, reporting, Thai test data — is automatically routed to the model that performs best for that exact job. You can also manually pin any model to any process.
Is it safe for banks, insurance, and financial institutions?
That's what the 2027 LLM Security Coverage roadmap exists for: on-premise / private-cloud models (data never leaves your perimeter), automatic PII masking with synthetic test data, prompt-injection and jailbreak defense, cryptographically signed audit trails, and human-in-command escalation for anything touching money movement — aligned with PDPA, PCI DSS, ISO 27001, OWASP LLM Top 10, and Thai BOT/SEC guidelines.
Does AI testing replace human QA jobs?
It replaces the work, not the people. Every rollout includes the Human 2.0 upskilling path: Manual/Automation Testers become AI Quality Strategists, Performance/Security Engineers become AI Orchestration Architects, and QA Leads become Quality Intelligence Directors. People move up — not out.
What reports do I get?
Five levels per run, one for each audience: Technical Report (engineers), Test Result (QA team), Test Summary Report (PM), Executive Summary (management), and a C-Level Report in pure business language — release confidence, compliance status, ROI.
What does it integrate with?
Stack: Playwright (TS), Robot Framework, JMeter, Grafana k6, OWASP ZAP, Burp Suite, Nuclei, Semgrep, SonarQube, Trivy, Kubernetes. Connectors: Jira, Azure Boards, TestRail, Xray, Confluence, Figma, GitHub, GitLab, Jenkins, Grafana, Prometheus, Datadog, ELK, New Relic, CloudWatch, DefectDojo, Splunk/SIEM, ServiceNow, Slack/Teams.
How do I get a live demo?
Email Support Extosoft — support@extosoft.com or visit extosoft.com. The first client is Extosoft itself — all four engines run in our own production pipelines daily.
The Future Ships Today

One Day of QA.
Collapsed Into One Minute.

Pick your engine — Manual, Automation, Performance, or Security. Deploy the AI workforce. Upskill your humans to command it.

EX
Support Extosoft
EXTOSOFT · AI TESTING UNIVERSE · SUPPORT TEAM
support@extosoft.com