kadeep.ai

Kadeep Technologies

Test Studios · Release-ready, on demand

Talk to a senior QA engineer. It explores your product, writes the flows, runs them on web / mobile / desktop, files the issues, and tells you whether you can ship.

The product

Kadeep Technologies builds one product: Test Studios.

It is a chat-first QA agent with its own runtimes — Playwright in the browser, virtual iOS / Android devices, and a paired desktop worker. You describe a release goal. The agent explores, authors natural-language flows, executes them, keeps evidence, and files defects.

Test management, GTW (localization QA), and Axco (accessibility) are modules in that same studio — not separate products, not separate logins.

Product map

flowchart TB
  You[You — chat a release goal]
  TS[Test Studios]

  You --> TS

  TS --> Agent[Chat agent + skills]
  TS --> TM[Test Management]
  TS --> GTW[GTW · localization]
  TS --> Axco[Axco · accessibility]

  Agent --> Web[Web · Playwright]
  Agent --> Mobile[iOS / Android · Appetize]
  Agent --> Desk[Desktop worker]

One conversation. One runtime. One system of record.

Release loop

flowchart LR
  Goal[Goal] --> Explore[Explore]
  Explore --> Flows[Author flows]
  Flows --> Run[Run]
  Run --> Spec[GTW / Axco]
  Spec --> Dash[Dashboard]
  Dash --> Signal[Go / No-Go]

How a run works

sequenceDiagram
    autonumber
    participant You
    participant Agent as Chat agent
    participant Runtime as Web / device / desktop
    participant Spec as GTW / Axco
    participant TM as Test Management

    You->>Agent: State what must be true to ship
    Agent->>Runtime: Explore and map the product
    Agent->>Agent: Author natural-language flows
    Agent->>Runtime: Execute · capture evidence
    Agent->>Spec: Locale or WCAG pass when the goal needs it
    Spec-->>Agent: Findings
    Agent->>TM: Issues · suites · readiness
    TM-->>You: Coverage, defects, go / no-go

What’s inside Test Studios

Chat agent

The lead surface. You talk; it behaves like a QA lead — smoke, regression, explore, mobile, desktop, then a numbered summary.

Natural-language flows, suites, and schedules
Live view of the browser or device; take control when needed
Governed memory (app / you / team) and a credential vault
MCP for Cursor / Claude (flows, suites, runs, issues)

Test Management

The system of record for the work the agent just did — not a second product to log into.

Flows, suites, hooks, and automations
Release readiness, gates, coverage heatmap
Defect ageing, leakage view, go / no-go
Export toward TestRail CSV / Xray JSON

GTW — localization

Locale QA from the same agent: language, RTL, layout, and formatting — on journeys and on device.

Untranslated strings and clipped labels
RTL mirroring and overlapping UI
Dates, currency, and number formats
Visual evidence per language, filed as defects

Axco — accessibility

WCAG-oriented QA on the real UI, every time you ask — not a one-off launch audit.

axe scans with impact-mapped issues
Keyboard-only journeys (focus, labels, traps)
Heading / name / contrast defects you can ship a sprint from
Mobile hierarchy review when the run is on-device

Skills the agent can run

Workspace — studio at a glance

The tester layout is three panes. Managers see the same project as a release dashboard.

flowchart LR
  subgraph Left[Left pane]
    Proj[Project]
    Skills[Skills · tests]
    Mem[Memory · vault]
  end
  subgraph Mid[Center]
    Chat[Chat / plan]
  end
  subgraph Right[Right pane]
    Live[Live runtime]
    Ev[Evidence · artifacts]
  end
  Chat --> Live
  Live --> Ev
  Proj --> Chat
  Skills --> Chat

You work on	What it is
Web	Full studio in the browser — studio.kadeep.ai
Desktop app	Same UI, plus a paired worker for native macOS / Linux apps
Mobile companion	Chat, approvals, watch-live, runs and defects — nothing executes on the phone
Virtual devices	Agent-driven iOS / Android sessions

In the studio	For
Chat · Plan · Live runtime	Explore, author, watch, take control
Tests · Suites · Schedules	Flows, grouping, nightly / interval automations
Defects · Artifacts · Requirements	Issues, proof, coverage inputs
Memory · Vault · Skills	What it remembers, secrets, playbooks
Release Readiness	Gates, heatmap, defect mix, go / no-go

Who opens Test Studios

If you…	You use it to…
Own quality on a release	Chat the goal, get flows + evidence + a go / no-go
Are a PM or BA, not a SDET	Describe journeys in language; skip Selenium
Ship web + iOS / Android	Run the same intent across surfaces and catch parity gaps
Care about new locales	Ask GTW — strings, RTL, layout — without a second tool
Need WCAG on every cut	Ask Axco — axe + keyboard — in the same run
Live in GitHub / Jira / Linear	File and sync defects where the team already works

Why this exists

The usual stack	Test Studios
Scripts only an SDET can keep alive	Chat + natural-language flows the agent runs on the live UI
TMS, l10n crawler, a11y scanner, device farm	One studio — test management, GTW, Axco, runtimes
Go / no-go is a meeting	Readiness, coverage, and evidence on the dashboard
Context lives in Slack and someone’s head	Governed memory across app, you, and team