CogniTuring Velocity · AI for QE

From User Story to Executed Test. At AI Speed.

The complete AI-powered test automation platform, seven modules that cover the entire lifecycle, from writing a requirement to running a suite, in one continuous chain. No tool switching. No re-keying. No context lost between steps.

AI outputs accelerate quality engineering; human review remains part of the sign-off.

01The Platform

Seven modules. One continuous chain.

CogniTuring Velocity connects every stage of the test automation lifecycle under a single AI-powered workflow. Each module hands its outputs, stories, test cases, scripts, results, to the next. Nothing is re-entered. Nothing is reformatted. The chain runs as far as you need it to.

Generate
Agile PQLM
Write a requirement in plain language. Get a structured, acceptance-criteria-complete story, scored against quality criteria before it moves forward.
Design
Test Design
Every story becomes a complete test set, positive cases, negative cases, and edge cases, automatically, with no analyst required between steps.
Script
Script Automation
Test cases become runnable automation scripts. An AI agent browses your actual application, discovers every UI element, scores its confidence, and validates locators before a single line of script is written.
Connect
API Automation
Import your API specification and get a complete test suite, endpoints, payloads, assertions, and edge-case coverage, generated and ready to execute.
Run
Execution Insights
Every run is monitored in real time. Failures are grouped, root causes surfaced, and the results fed back through the chain, so the next run already knows what went wrong.
Route
Agent for Adhoc
Describe what you need in plain language. The agent understands the intent and routes you to the right module, no navigation, no context switching, no wasted time.
Learn
Learning Engine
Every run teaches the platform. Outputs get progressively more accurate across stories, test designs, scripts, and results, the more it runs on your codebase, the sharper it gets.
Module 07 feeds every run back into Module 01, the chain learns and improves itself.
  1. Agile PQLM, Plain-language requirements become structured, acceptance-criteria-complete stories, scored before they move forward.
  2. Test Design, Every story becomes a complete set of positive, negative, and edge test cases, automatically.
  3. Script Automation, Test cases become runnable scripts, with every UI element discovered and validated before the first line is written.
  4. API Automation, Import a specification and get a full suite of endpoints, payloads, and assertions, ready to execute.
  5. Execution Insights, Every run is monitored, failures grouped and root-caused, and results fed back through the chain.
  6. Agent for Adhoc, Describe what you need in plain language and the agent routes you to the right module.
  7. Learning Engine, Every run teaches the platform, improving outputs across stories, designs, scripts, and results.
7Platform modules
0Tool switches
1Continuous chain
02Platform Differentiators

Built as a platform. Not a collection of tools.

Most QA tooling solves one phase well and leaves the joins to you. Velocity is designed differently, the chain itself is the product. Three things make it work that way.

D.01

One shared context, end to end

Every artifact produced by one module, the story, the test cases, the script, is the same artifact the next module reads. Nothing is summarized, re-entered, or lost in handoff. When a requirement changes, the downstream modules know.

D.02

AI that understands your live application

The automation layer doesn't generate scripts from test-step text alone. It runs an AI agent against your actual running application to discover UI elements, assess confidence, retrieve proven alternatives, and validate every locator before writing the first line of code. Scripts that work on day one, not after three rounds of debugging.

D.03

A system that gets better the more you use it

Every execution cycle, what passed, what failed, what recovered, is captured and analyzed. That analysis feeds back through the whole chain, improving generation quality across stories, test designs, and scripts over time. The platform accumulates knowledge about your product.

03Platform Benefits

Why the chain matters.

B.01

Coverage in a fraction of the time

Go from a user story to an executable test suite without the manual steps that normally sit between them. The chain compresses what used to take days into a single connected workflow.

B.02

Your team focuses on decisions, not artifact production

The platform handles generation, conversion, script authoring, and failure analysis. QA engineers focus on what needs judgment, coverage strategy, edge-case review, sign-off, not on producing the artifacts that support it.

B.03

Consistent quality across every output

Shared AI configuration and a connected chain mean every story, test case, and script is produced to the same standard, regardless of who triggered the run, which project it came from, or how large the team is.

See it work on your stack.

From your user story to a running suite.

Book a 30-minute walkthrough. We'll run Velocity end-to-end on your actual requirement, story, test cases, scripts, and results, no slides, no scripted demo.