Senior-only delivery
Senior engineers from day one. The people scoping your project are the people shipping it — same team, kickoff to launch.
Now serving enterprises & high-growth startupsAI + QA Engineering
AI + QA Engineering
That Powers Next-Gen Digital Products
We help enterprises and startups build scalable AI systems, automated QA pipelines, and high-performance digital products — engineered for reliability at scale.
✦AI
✓QA
☁Cloud
⚡Automation
About Qintar
Engineering-led, by design.
Qintar is a boutique engineering firm. We build AI systems, ship quality-engineered software, and run the infrastructure behind it — directly with your technical leaders. No sales hand-offs, no junior-only teams, no offshore patterns.
How we engage
- 01DiscoveryFree 30-min scoping call. We listen first, scope second.
- 02ProposalFocused brief within 48 hours. Concrete plan, no slide deck.
- 03BuildFixed-scope sprints or dedicated retainer — your call.
- 04OperateOptional 24/7 on-call coverage once you're live.
We measure ourselves by what your customers experience — page latency, agent accuracy, regression cost — not by what fits in a status report.
Outcomes over output
We measure success in production metrics — p95 latency, conversion lift, uptime, regression cost — not story points completed.
One team, full stack
From AI agents to QA pipelines, custom code to 24/7 ops — one accountable team owns the full engineering surface. No vendor sprawl, no finger-pointing.
What we do
The full engineering stack, one team.
From AI agents to QA pipelines, custom builds to 24/7 operations — Qintar covers the full engineering surface with one accountable team.
✦
AI Solutions
From prototype to production — LLM apps, agents, and automation pipelines tuned for real workloads.
- AI Agents & Automation
- RAG-based Applications
- Chatbots & LLM Integration
- Workflow Automation
- Custom Model Fine-tuning
- Vector Search & Embeddings
✓
QA & Testing
End-to-end quality engineering — from manual exploratory testing to fully automated CI/CD pipelines.
- Manual Testing
- Automation Testing (Selenium, Cypress)
- API Testing (Postman, REST Assured)
- Performance Testing (JMeter, k6)
- CI/CD QA Integration
- Test Strategy & Consulting
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Custom Development
Full-stack engineering for ambitious products — from MVP to production scale.
- Full-stack web (Next.js, React, Node)
- Mobile apps (React Native, Flutter)
- Backend & APIs (Node, Python, Go, Java)
- Database design & optimization
- Microservices & event-driven architecture
- MVP / prototype → production hardening
⬢
Blockchain Development
Production-grade smart contracts, DeFi, and Web3 integrations — audited and gas-optimized.
- Smart contracts (Solidity, Rust, Move)
- DeFi protocols & DEX integrations
- Web3 wallet auth (MetaMask, WalletConnect)
- NFT marketplaces (ERC-721 / ERC-1155)
- Multi-chain (Ethereum, Solana, Polygon, Base)
- Security audits & gas optimization
⚙
IT Support & Operations
24/7 infrastructure, monitoring, and incident response for engineering teams.
- 24/7 monitoring & alerting (Datadog, Grafana)
- Incident response (PagerDuty, OpsGenie)
- Cloud administration (AWS, GCP, Azure)
- Database administration & backups
- Security patching & compliance
- Helpdesk & end-user support
QA Capabilities — Deep Dive
Every QA discipline, one engineering partner.
From manual exploratory testing to AI agent evals, Qintar covers the full quality engineering surface — web, mobile, API, performance, security, and AI systems.
Test Automation
Resilient UI suites that scale across browsers and pipelines.
- Selenium WebDriver
- Cypress
- Playwright
- WebdriverIO
- Puppeteer
- TestCafe
- Page-Object Models
- BDD with Cucumber
- Custom framework design
API & Integration Testing
Contract-tested APIs, fuzzed inputs, deterministic CI.
- Postman / Newman
- REST Assured
- Karate DSL
- Pact contract testing
- GraphQL testing
- gRPC testing
- Schema validation
- Webhook & event testing
- Mock servers (WireMock, MSW)
Performance & Load
Load model your real traffic. Catch p95 cliffs before customers do.
- k6 (JS-native load tests)
- JMeter
- Gatling
- Locust
- LoadRunner
- Stress & spike testing
- Soak / endurance testing
- Capacity planning
- APM-correlated baselines
Mobile App Testing
Real-device coverage across iOS, Android, tablets, and wearables.
- Appium
- Espresso (Android native)
- XCUITest (iOS native)
- Detox (React Native)
- Maestro flows
- Real-device labs (BrowserStack, Sauce Labs)
- iOS + Android compatibility
- Battery / memory profiling
- App store release QA
Security Testing
OWASP-aligned testing baked into your CI, not bolted on at audit time.
- OWASP Top 10 coverage
- SAST (CodeQL, Semgrep)
- DAST (OWASP ZAP, Burp Suite)
- Dependency scanning (Snyk, Dependabot)
- Secrets scanning
- Authentication / authz tests
- Penetration testing (with partners)
- Threat modeling
- Compliance (SOC2, HIPAA, PCI)
Manual & Exploratory
Smart humans finding what automation misses.
- Exploratory testing
- Session-based test management
- User acceptance (UAT) coordination
- Smoke & sanity testing
- Regression test suites
- Usability testing
- Edge-case discovery
- Charter-driven testing
- Bug triage & severity calibration
Specialized Testing
Edges that break the most: visuals, accessibility, browsers, locales.
- Visual regression (Percy, Applitools, Chromatic)
- Accessibility (WCAG 2.2, Axe, Pa11y)
- Cross-browser (BrowserStack, Sauce Labs)
- Cross-device responsive QA
- Localization / i18n testing
- Email rendering testing
- PDF / document QA
- Database & ETL testing
- Chaos engineering & resilience
AI / ML / LLM Testing
Our wedge — QA for non-deterministic systems and AI products.
- LLM output evaluation (RAGAS, DeepEval)
- RAG accuracy & groundedness
- Agent behavior & tool-use testing
- Prompt regression suites
- Hallucination detection
- Bias & safety testing
- Model drift monitoring
- Cost & latency benchmarks
- Production-time guardrail testing
CI/CD & DevOps QA
Tests that run on every commit, parallelized, and never flaky.
- GitHub Actions
- GitLab CI
- Jenkins
- CircleCI / Buildkite
- Parallelized test runners
- Flaky-test quarantine
- Test impact analysis
- Allure / Reportportal dashboards
- Containerized test environments
Strategy & Consulting
Beyond tools: we help you build a QA culture that ships fast without breaking production.
Talk to a senior engineer- QA strategy & test plan design
- Automation framework architecture
- Tool selection & POCs
- QA team org design & hiring rubrics
- Coaching for engineering teams
- QA audit & maturity assessment
- Test data management strategy
- Shift-left & shift-right adoption
- ROI modeling for QA investments
Why QINTAR
Built for teams that can't afford to ship broken software.
Six reasons enterprises and high-growth teams pick us over traditional agencies.
🧠
AI + QA hybrid expertise
Few teams combine deep QA discipline with production-grade AI engineering. We do both — natively.
🛡️
Enterprise-grade delivery
SOC2-minded processes, code reviews, observability, and rollback strategies baked into every shipment.
🔄
Agile + DevOps aligned
We plug into your sprint cadence, your CI/CD, and your engineering culture — not the other way around.
⚡
Fast turnaround
Tightly scoped sprints. Working software in weeks, not quarters. Continuous demos and feedback loops.
💎
Cost-efficient model
Senior engineering talent at the right blend of cost and quality — no junior-only delivery teams.
📈
Outcome-driven
We measure success in production metrics — reliability, latency, conversion — not story points completed.
Engagement scenarios
The outcomes we engineer for.
Representative examples of the problems we solve and the results we target — illustrative of our approach. Figures show the kind of improvement these engagements are designed to deliver.
Automate document processing with a RAG agent
We build domain-specific retrieval pipelines and tool-using agents that collapse multi-step manual review workflows into a single automated pass.
Avg. handling time
~12 min→ ~1.5 min
Manual touches / doc
6→ <1
Stand up automated test coverage fast
We roll out end-to-end Cypress + API suites wired into CI with parallel runners and flaky-test quarantine — turning slow manual regression into minutes.
Automated coverage
low→ 90%+
Regression cycle
days→ minutes
Cut API latency under peak load
Performance engagements combine load modeling (k6), profiling, query tuning, and caching to hold latency steady when traffic spikes.
API p95 latency
high→ halved
Peak throughput
baseline→ 3×+
Illustrative target outcomes based on common engagement types — not specific client results.
Let's talk
Start your project with a free 30-minute consultation.
Tell us about your AI or QA challenge. A senior engineer — not a sales rep — will reply with a focused next-step plan.