CogniTuring Velocity · AI for QE

From User Story to Executed Test. At AI Speed.

The complete AI-powered test-automation platform — covering every phase of the lifecycle, from requirements engineering through automated script generation, API testing, and execution analytics.

Note: AI may misinterpret data; human validation ensures accuracy.

01Overview

One platform. The full test lifecycle.

CogniTuring Velocity unifies the complete test-automation lifecycle — from requirements through analytics — under a single AI-powered platform. Each module hands off directly to the next, with no tool-switching and no lost context.

10Lifecycle stages
7Platform modules
0Tool switches
1Continuous chain
02End-to-End Workflow

The natural progression of quality work.

Velocity follows the lifecycle of software quality — every stage feeds the next, from the first user story to the final analytics report.

01

Test Strategy

Define scope, risk, and coverage goals.

02

Test Plan

Plan suites, environments, and schedule.

03START HERE

User Story

Draft and refine user stories with AI assistance.

Open →
04

Test Design

Generate test designs and scenario coverage.

Open →
05

Test Data

Synthesize and manage realistic test data.

06

UI Automation

Author and run UI test automation.

Open →
07

Unit Automation

Generate unit tests from your requirements.

Open →
08

API Automation

Build and execute API test automation.

Open →
09

Non-Functional

Performance, security, and accessibility.

10

Reports & Analytics

Quality insights, ROI, and trends.

03Platform Modules

Seven modules. One continuous chain.

Each module is AI-powered and hands its output to the next — no re-keying, no tool-switching, no lost context.

M.01

RequirementsAgile PQLM

Generate structured, INVEST-compliant user stories from natural-language input.

1Generate2Refine3Evaluate4Export
  • AI-assisted story generation from natural-language input
  • Automated INVEST criteria scoring and guided refinement
  • One-click export to your project tracker, PDF, Excel, and more
M.02

DesignTest Design

Intelligent test planning — AI-guided from user story through to test cases.

1Story Import2FSD3Use Cases4Conditions5Technique6Scope7Test Cases
  • Automated Functional Specification Document generation from user stories
  • AI-guided test design technique selection and coverage scoping
  • Native project tracker integrations for story import and traceability
M.03

AutomationScript Automation

Convert test cases into executable automation scripts — without manual coding.

1Select2Configure3Convert4Edit5Generate6Execute
  • AI-powered conversion of test cases to executable scripts
  • PyTest & Selenium across web and mobile, multi-browser
  • Self-healing execution with automated failure recovery
  • Editable scripts — AI-generated steps blend with manual authoring
M.04

AutomationAPI Automation

Automate API testing from specification to execution.

1Import2Generate3Execute4Report
  • OpenAPI, Swagger, and Postman collection support
  • AI test-case generation from API specifications
  • Request and response validation with real-time execution tracking
  • Self-healing for failed API tests with run history
M.05

ExecutionTest Execution Insights

Real-time execution monitoring with AI-powered analysis and reporting.

1Setup & Execute2Monitor3Analyze & Report
  • Live execution monitoring with real-time log streaming
  • AI root-cause analysis and failure-pattern detection
  • Executive-grade reports with trend data and exportable insights
M.06

OrchestrationAgent for Adhoc

A natural-language interface that routes users to the right module based on context.

Intelligent routing
  • Multimodal input — accepts text and screenshots
  • Intelligent routing to the right module based on context
  • Guided workflows for onboarding and ad-hoc queries
M.07

IntelligenceLearning Engine

The platform learns from every run and improves future AI generations.

Continuous improvement
  • Learns continuously from usage patterns and execution outcomes
  • Captures feedback from edits as quality signals
  • Delivers progressively better AI generations the more it is used
04Non-Functional Coverage

Beyond functional tests.

Velocity extends the same AI-driven workflow into the quality dimensions that decide whether software survives production.

NF.01

Performance

Coverage
  • Load testing
  • Stress testing
  • Soak testing
  • Response-time baselines
NF.02

Security

Coverage
  • Authentication testing
  • Authorization validation
  • Input-injection scenarios
NF.03

Accessibility

Coverage
  • WCAG compliance scenarios
  • Screen-reader compatibility
  • Keyboard navigation
05Platform Benefits

Why the chain matters.

B.01

Eliminate Context Switching

Every module hands off to the next. Stories become test cases, cases become scripts, scripts produce results, results feed analytics — all in one platform.

B.02

Reduce Manual Effort

AI handles test-case generation, step conversion, script authoring, and failure analysis. QA teams focus on decision-making, not artifact creation.

B.03

Accelerate Time-to-Coverage

Go from a user story to an executable test suite in a fraction of the time compared to manual workflows.

B.04

Consistent Quality Standards

Centralized AI configuration and shared templates ensure consistency across artifacts, whoever produces them.

B.05

Continuous Improvement

The Learning Engine captures feedback from every run. The platform gets better the more it is used.

No pitch deck. Just a conversation.

From your user story to a running suite.

Book a 30-minute walkthrough. We'll run Velocity end-to-end on your actual story — design, scripts, and analytics — no slides, no scripted demo.