What we fix

The whole testing pyramid. One standard.

Ten years of automating anything that ships: traditional UI to agentic AI, functional to load, pixel to pipeline. Different stacks fail differently. The rigor never changes: tests that can fail, automated gates, visible results.

/01

Web UI, legacy to modern

Selenium-era suites, Angular and Protractor apps, modern single-page apps: modernized to Playwright with deterministic waits, honest assertions and cross-browser runs that finish in minutes, not hours.

PlaywrightSeleniumAngularCross-browser
/02

API & microservices

Service-layer automation with REST Assured and Playwright API. Contract checks between services, so integration bugs surface where they're cheap to fix, before the UI ever loads.

REST AssuredMicroservicesContract checks
/03

Data, ETL & database

Multi-day manual data checks become YAML-driven frameworks on Spark or Databricks: per-table contracts, medallion-layer checks and deep SQL reconciliation, with millions of rows validated on every run.

PySparkDatabricksAdvanced SQL
/04

Salesforce Lightning

The platform most teams give up on automating. Locator healing, semantic validation in CI, and generator patterns that survive seasonal platform releases untouched.

LightningExperience CloudSelf-healing
/05

Performance & load

Load and stress campaigns sized to reality. We modeled 250%+ enrollment surges for federal exchange systems and root-caused API latency and timeout failures before launch day, not after.

JMeterLoadRunnerSurge modeling
/06

Accessibility & Section 508

Section 508 and WCAG scanning wired into the same release gates as functional tests. Compliance becomes a continuous signal on every merge, not an annual audit scramble.

Section 508WCAG 2.1 AACI-gated
/07

AI systems & agents

Chatbots, copilots and agentic systems facing real users. Accuracy, hallucination, bias, security and safety, each measured with its own tool and gated per release. More on AI quality →

DeepEvalgarakPyRITMLflow 3

The system we leave behind

Humans, framework and AI, each doing the job it's best at.

AI speeds up writing, migrating and triaging tests. It never decides what counts as verified: your gates do. That line is the difference between speed and slop.

Author

Your team + AI copilot

  • AI drafts tests and migrations
  • Humans own the assertions
  • Patterns, not one-offs
Verify

Framework & gates

  • UI, API, data and AI checks
  • Semantic validation in CI
  • Merge blocked on failure
Triage

AI debug agent

  • Root cause from traces
  • Ranked fix suggestions
  • Locator healing, zero edits
See

Live visibility

  • Dashboards for every role
  • Coverage and risk trends
  • "Safe to ship?" answered
FeedbackEvery failure makes the suite smarter, not longerloop

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