Playwright
Web automation
Recorder, spec-to-code and API codegen, an autonomous explorer and self-healing locators.
TypeScript & PythonSelf-healingMCP server
NEW Application Knowledge Hub & AI model registry Every test layer.
Every test layer.
One quality signal.
Sakhi-QI Orchestrator unites web, mobile, performance, UI/UX & accessibility and security testing with nine AI QA agents — one platform, one execution ledger and one branded report your clients can trust.
- Self-hosted with Docker
- Bring your own AI model
- Self-healing web & mobile
WORKSPACE / EVENT MANAGEMENT
LiveExecution overview
Queued04 Waiting for worker
Running02 In progress
Self-healed03 Fixes to review
Run historyCompare
Checkout regressionPlaywright · staging
PassedAndroid smoke suiteMaestro · 3 devices
RunningPeak load profileJMeter · performance
ReviewAuthorised ZAP scanOWASP Top 10 mapped
DoneQuality signal
Results Analyst: 2 failures share one root cause
Locator healedAssertion untouched
Client report readyHTML · PDF · dual logo
PlaywrightMaestroApache JMeterOWASP ZAPSemgrepSchemathesisBrowserStackFirebaseJiraTestRailZephyrConfluenceRedmineGrafanaPostgreSQLRedisDockerWCAG 2.2
5Execution enginesWeb, mobile, performance, UI/UX & a11y, security
9AI QA agentsRequirement analysis through to client reporting
55+Product modulesAcross eight workspaces and admin
8+AI providersPlus any OpenAI-compatible model you register
THE PLATFORM
Five engines and nine agents, orchestrated from one place.
Stop stitching together a separate tool for each test layer. Sakhi-QI runs them side by side on shared infrastructure — with AI doing the heavy lifting and your engineers staying in control.
Maestro · Android
Mobile automation
Paste test cases, get validated Maestro flows. Run on real devices in parallel or on BrowserStack.
Offline agentReal devices
Apache JMeter
Performance
Run load tests, edit plans in JMX Studio and ask an AI what the numbers mean.
JMX StudioGrafana
WCAG audits
UI/UX & accessibility
Authenticated crawls, design-consistency checks and a three-layer WCAG audit.
VPAT / ACR
OWASP ZAP · SAST · SCA
Security
DAST with OWASP Top 10 mapping, Semgrep static analysis, dependency and secrets scans, and capped API fuzzing — live targets only with server-enforced authorisation.
OWASP Top 10SAST & SCAAuthorised scans only
9 specialists
AI QA agents
From BRD analysis to failure triage and the client report, on the AI model you choose — every output reviewed by your engineers before it is used.
BRD → test casesFailure analysisBring your own model
AI QA AGENTS
Nine specialists for the whole testing lifecycle.
Each agent does one job well and hands its output to the next. Every result can be saved, reloaded, edited and reviewed before it goes anywhere.
- 01
BRD Analysis
Extract requirements, gaps, risks and ambiguities from BRDs and specs.
- 02
Test Plan
Test strategy plus BDD scenarios, ready to review.
- 03
Estimation
Effort estimates broken down by scope and test layer.
- 04
Manual Cases
Web, mobile and smart-watch test cases with automation feasibility.
- 05
Automation Candidates
Pick the cases worth automating first, and why.
- 06
Code Generator
Playwright scripts in TypeScript or Python, downloadable as a ZIP.
- 07
Agent Execution
Run generated scripts and vision checks on bounded workers.
- 08
Failure Analysis
Root-cause failing runs and separate defects from flaky locators.
- 09
Reports
Business-readable summaries for stakeholders and clients.
And an AI assistant wherever you work
Test Results AnalystAsk about any run in plain language. Answers come from that run's actual results.
Ask AI personasA QA expert on every page — test architect, performance, security and more.
Platform AssistantIn-app help grounded in product docs. Collects diagnostics and drafts bug reports for you to file.
Maestro expertAn offline mobile agent plus an AI expert that refines and validates flows.
Performance chatDiscuss results, run catalog scripts and query a 2,900+ document knowledge base.
QA Pilot chatQuestion your UI/UX and accessibility scan findings directly.
EVERY FEATURE
Explore the whole platform, workspace by workspace.
Eight workspaces, the same users, ledger and reports underneath. Pick one to see everything it does.
PLAN WORKSPACE
From requirement to reviewed test case
Turn BRDs, specs and existing test assets into plans, estimates and test cases, grounded in what you already know about each application.
- Upload PDF, DOCX or Markdown
- Save and reload any AI result
- Impact analysis when requirements change
Application Knowledge Hub
Governed, per-application knowledge that grounds AI answers. Permissions are checked before anything is retrieved, and credentials are redacted.
BRD analysis
Pull requirements, risks, gaps and open questions out of business documents.
Test plan & BDD
A test strategy and Gherkin scenarios generated together from the same source.
Effort estimation
Defensible estimates broken down by scope, layer and complexity.
Manual test cases
Web, mobile or smart-watch cases with automation-feasibility scoring for each one.
Update existing cases
When a requirement changes, see which cases are affected and get the proposed updates.
Automation candidates
Rank cases by automation value so the backlog starts with the best return.
AI generation pipeline
BRD → scenarios → test cases → script as one reviewable pipeline, published only when you approve it.
AUTOMATION STUDIO · PLAYWRIGHT
An enterprise Playwright framework, AI-assisted
Record, generate, explore and run Playwright suites with page objects, self-healing locators and reports for engineers and clients.
- TypeScript or Python output
- Multi-project frameworks
- HTML & PDF reports per run
Recorder codegen
Record a journey and get clean TypeScript or Python, downloadable as a ZIP.
AI spec-to-code
Plain-language page specs become page objects and tests built from the live DOM.
API codegen
Generate API test suites alongside your UI coverage.
Rich-media aware
Carousels, 360° viewers, hotspots and video are detected and covered by deterministic tests.
Self-healing locators
Broken selectors are repaired at run time and recorded for review. Assertions are never rewritten.
AI agent mode
A multi-agent pipeline that plans, writes, runs and corrects tests from natural language.
Autonomous explorer
Crawls your app, discovers pages and flows, and produces an exploration report.
MCP server
Expose the framework to AI assistants through the Model Context Protocol.
Run history
Every run with its saved logs, HTML report and PDF, plus one-click re-runs.
Data-driven depth
Typed UI components plus database, API and Excel-driven testing in one framework.
MOBILE AUTOMATION · MAESTRO
Paste test cases. Get flows that actually run.
An offline mobile agent converts your test cases into Maestro flows, an AI expert refines them, and Maestro's own parser validates every one before it runs.
- Works offline — no cloud call needed
- Android devices over USB or Wi-Fi
- Parallel devices and BrowserStack
Test case → Maestro
Markdown tables, Gherkin, numbered steps or plain lines, converted by an offline ML agent.
AI Maestro expert
Refines flows, then validates them with Maestro and repairs parser errors automatically.
Connected mode
Reads the live device screen so flows target real element IDs, not guesses.
Review & apply fixes
Findings come with one-click Apply, individually or all at once.
Test library
Projects, suites and tags like a code framework. Run all, run by tag, or export as a ZIP.
Real devices in parallel
USB or Wi-Fi adb, per-device locking and multi-device batches with one combined report.
BrowserStack
Run the same flows on cloud devices when you need more coverage.
Three app sources
Use a pre-installed app, upload an APK, or pull a build from Firebase App Distribution.
Self-healing
Offline or AI healing for locators only, with an Apply-to-library step for each fix.
Run reports
HTML and PDF reports with step-level evidence and failure screenshots.
PERFORMANCE ENGINEERING · JMETER
A performance engineer's full workbench
Design, run and analyse JMeter load tests from one place, with an AI that knows performance engineering and a knowledge base to back it up.
- Catalog runs use zero LLM tokens
- 2,900+ indexed knowledge documents
- Oracle, MongoDB & Redis connections
AI performance chat
Discuss results and trigger catalog scripts by command.
Executions
Asynchronous JMeter runs, tracked in the shared execution ledger.
Script catalog
Organise JMX scripts into groups and run them on demand.
JMX Studio
Edit test plans as a visual tree and run them straight from the editor.
JMX analyser
Review existing plans for problems before they cost you a test window.
AI JMeter suite
Generate JMX plans and performance test cases from requirements.
Analysis & reports
HTML reports, performance analysis and Grafana panels.
App training & API tester
Teach the platform your APIs and test them interactively.
Test data & DB connections
Generate realistic test data and connect to Oracle, MongoDB and Redis.
Knowledge base
Search thousands of indexed performance-engineering documents.
UI/UX TESTING
Design consistency and WCAG, audited in depth
Crawl real, authenticated applications for design drift and accessibility issues, then hand auditors the evidence they need.
- Cookie or token-based login
- Never clicks delete, pay or sign out
- VPAT / ACR-ready output
Authenticated crawling
A guided login captures the session cookie or access token, so scans reach the pages behind sign-in.
Click-navigation discovery
Finds SPA pages behind buttons, filtered by a safety blocklist for destructive actions.
Design consistency
Spot drift in colour, typography and spacing across every page.
Three-layer WCAG audit
Automated rules, interactive keyboard, widget, form and alt-text checks, and guided manual review.
VPAT / ACR reports
Accessibility conformance output ready for procurement conversations.
QA Pilot chat
Ask questions about scan findings in plain language.
Scan history
Downloadable HTML reports per scan, with live Stop from Event Management.
SECURITY TESTING
Real scanners, with AI on top — never instead
Industry-standard tools produce the findings. AI prioritises and explains them, and writes the artefacts your security reviews need.
- Live-target scans require authorisation
- Authorisation enforced on the server
- API fuzzing capped by design
OWASP ZAP console
Proxy interception, passive and active scans, authenticated scans and OpenAPI import-and-scan.
OWASP Top 10 mapping
Every DAST finding mapped to the category your auditors expect.
Static analysis
Semgrep with security-audit, secrets and OWASP Top 10 rule sets.
Dependency audit
Known-vulnerability checks against the OSV database.
Secrets scanning
Catches cloud keys, tokens, private keys and connection strings in code.
API fuzzing
Schemathesis-driven fuzzing from your OpenAPI spec, with a hard cap on generated requests.
Header & TLS scan
Live checks of security headers, cookies and certificate details.
CI/CD pipeline generation
Generate pipeline configuration to run ZAP in your builds.
AI security workbench
Threat models, OWASP-mapped security test cases, secure code review, triage and pentest report drafts.
INTELLIGENCE
Every run explained, compared and reported
Investigate failures, spot trends and deliver reports your clients can read — across every engine, in one place.
- One report template for every engine
- Your logo and your client's
- Grounded answers about real results
Failure analysis
AI root-cause analysis that separates real defects from flaky locators.
Test Results Analyst
Plain-language Q&A on any run, with an offline fallback when no model is available.
Insights & trends
Flakiness, failure clustering and cost anomalies surfaced across runs.
Run compare
Compare run against run, or test case against test case, to spot regressions.
Event management
A live view of every queued and running job across engines, with a real Stop.
Background jobs
Long runs keep going while you navigate. A notification tells you when they finish.
Branded client reports
HTML and PDF with step evidence and screenshots, archived per run.
Ask AI & assistant
Page-aware QA experts and a docs-grounded assistant that can draft bug reports.
SETTINGS & ADMINISTRATION
Enterprise controls, built in from day one
Decide who sees what, which AI models each client may use, and what every AI call cost — without bolting on extra tools.
- Permissions enforced on the server
- Fail-closed AI model policy
- Every AI call audited
Roles & users
A custom role builder with per-page permissions, enforced on every request.
Clients & projects
Client and project masters that drive suite names and dual-logo reports.
AI model registry
Register any OpenAI-compatible model and set each client's allowed models and default.
Unified AI config
One provider picker for every engine. Changes apply without a restart.
Prompt engine
View, edit and reset every AI prompt template. Reset always restores the original.
Token usage & audit
Every AI call recorded by user, model and engine, with token costs.
Integrations
Jira, TestRail, Zephyr, Redmine and Confluence, with retrieval over your documents.
Workers & environments
Tune worker concurrency, test-run environments, upload limits and branding.
HOW IT WORKSFrom requirement
From requirement
to client-ready report.
Keep the thread from a requirement to a test, a run, a failure and its fix — without losing context between tools.
- 01Bring your requirements
Upload BRDs, specs and existing test cases, or pull them from Jira, TestRail, Zephyr, Redmine or Confluence.
- 02Generate with AI agents
Analyse, plan and estimate, then produce manual cases, Playwright scripts and Maestro flows for your engineers to review.
- 03Execute across engines
Dispatch web, mobile, performance, UI/UX and security runs to bounded workers. Every run lands in one ledger.
- 04Analyse, heal and report
Investigate failures with AI, apply reviewed self-healing fixes and publish branded reports.
ORCHESTRATION FLOW
5 engines onlineOne execution ledger
AI agents & control planeAnalyse · plan · generate · dispatch
WebPlaywright
MobileMaestro · Android
PerformanceJMeter
UI/UX & a11yWCAG audits
SecurityOWASP ZAP
WorkersBounded queues
Evidence & reportsRun history · compare · branded HTML/PDF
AI WITH GUARDRAILS
Built so you can trust what the AI does.
Automation that quietly hides a bug is worse than no automation. These rules are enforced by the platform, not left to good intentions.
Healing fixes locators, never verdicts
A failed assertion is treated as a probable defect. AI fixes that change or remove an assertion are rejected.
Authorised security testing only
Every scan against a live target needs an authorisation confirmation that the server enforces, not just a checkbox.
Fail-closed model policy
If a client isn't allowed a model, the call is blocked — never silently routed somewhere else.
Permission-checked knowledge
The Knowledge Hub checks application, client and sensitivity permissions before it retrieves anything.
Every AI call on record
Who called which model, from which engine, and how many tokens it used.
Offline where it matters
The mobile agent, flow generator and results analyst keep working without an external model.
INTEGRATIONS & MODELS
Works with the tools your teams already use.
Industry-standard engines under the hood, connectors to your test-management and issue-tracking stack, and the AI model of your choice.
AI PROVIDERSClaudeGeminiAzure OpenAIGroqCerebrasOpenRouterOllamaAny OpenAI-compatible API
PlaywrightWeb automation engine
MaestroMobile automation engine
Apache JMeterPerformance testing
OWASP ZAPDynamic security scanning
BrowserStackCloud mobile devices
Firebase App DistributionMobile build source
JiraIssues & requirements
TestRail & ZephyrTest management
RedmineIssue tracking & bug filing
ConfluenceRequirements & documentation
Semgrep · pip-audit · SchemathesisSAST, SCA & API fuzzing
GrafanaPerformance dashboards
Need a connector that isn't listed? Tell us during your demo.
DEPLOYMENT
Your infrastructure. Your data.
Sakhi-QI runs self-hosted, so test data, credentials and reports stay inside your network. Engines run as separate containers with bounded workers, so a heavy load test never slows down the rest of the platform.
Self-hosted with Docker
The whole platform comes up with one Compose command, on your infrastructure.
PostgreSQL + pgvector
One database for users, runs, results and vector search.
Redis-backed workers
Bounded queues and concurrency limits per engine, so heavy runs never starve the app.
One execution ledger
Every job from every engine moves through the same tracked lifecycle.
PLANS
Start with one engine. Scale to all five.
Plans are tailored to your team size, the engines you need and how you deploy. Talk to us for a quote.
Pilot
Prove the value on one application with a guided rollout.
- Guided onboarding
- Engines for your pilot scope
- AI agents with your own model keys
- Branded reports from day one
Team
For QA teams running multiple test layers across projects.
- All five execution engines
- All nine AI agents & assistants
- Run history, compare & branded reports
- Custom roles & per-client AI models
Enterprise
For organisations with security, deployment and governance requirements.
- Self-hosted Docker deployment
- Application Knowledge Hub
- AI model registry & audit trail
- Integration & security review
Feature availability per plan is confirmed in your proposal.
FAQ
Questions teams ask first.
Anything else? Drop us a message on WhatsApp, Instagram or Facebook — we'll answer it against your own stack.
Do we have to use all five engines?
No. Most teams start with one or two engines in a pilot and switch on more as they go. Engines share the same users, ledger and reports, so adding one later doesn't mean a new tool to learn.
Which AI models does it work with?
Claude, Gemini, Azure OpenAI, Groq, Cerebras, OpenRouter and Ollama out of the box, plus any OpenAI-compatible endpoint you register. You choose the models, and administrators can restrict which ones each client may use.
Can it run without sending data to an AI provider?
Yes, for key workflows. The mobile test-case converter, the deterministic flow generator and the results analyst's fallback run offline. You can also point the platform at a local model through Ollama.
Will self-healing hide real bugs?
No. Self-healing only repairs locators. A failed assertion is treated as a probable defect, and any AI fix that changes or removes an assertion is rejected. Fixes are recorded for your team to review.
Which mobile platforms are supported?
Android, on real devices over USB or Wi-Fi, in parallel, or on BrowserStack cloud devices. Apps can be pre-installed, uploaded as an APK or pulled from Firebase App Distribution.
How is it deployed?
Self-hosted with Docker on your own infrastructure, with PostgreSQL, Redis and the engines as containers. We talk through sizing and security requirements during your demo.
LET'S TALK QUALITY
One message away from smarter testing.
Skip the forms. Slide into our chats, tell us what you test today, and we'll show you the engines that matter on scenarios close to your own.
- Live walkthrough, your scenarios
- Fit check for your stack & integrations
- Pilot and pricing, no strings attached
FASTEST REPLYPing us. Get a demo slot.Say hi, tell us what you test, and we'll line up a live walkthrough on your terms.WhatsApp · +91 91507 91572Start the chat BEHIND THE BUILDSee quality in motion.Feature drops, quick product reels and a look at what's shipping next.Instagram · @SakhiQIFollow along COMMUNITYJoin the quality crew.Updates, release news and conversations with teams who test smarter.Facebook · /SakhiQIJoin the page
No forms. No waiting lists. Just a message away.