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QAonTOP
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[ Blockchain & AI testing services ]

AI and blockchain testing that checks every answer, every guardrail and every transaction.

QA engineers for generative AI products, AI agents and decentralised apps. We judge model output, push against guardrails and test on-chain flows, so your product is accurate, safe and trusted from the first release.

  • ISTQBcertified QA engineers
  • UpworkTop Rated Plus
  • 100%Job Success Score
  • 5.0 Clutch20 verified reviews
  • 1,100+test cases on an enterprise generative AI platform

[ Industry challenges ]

What a bug costs in AI and blockchain

The failures AI and Web3 teams bring to us most often. In both, “it worked in the demo” is not the same as “it works for users”.

01

Answers that are confident and wrong

Hallucinated facts, missing sources and made-up figures look just as polished as correct answers. Users only find out when it matters.

02

Guardrails that give way under pressure

Prompt injection, jailbreaks and clever rewording get past filters that pass every polite test.

03

Data leaking through the model

Personal data, other customers’ documents or system prompts surfacing in responses is a privacy incident.

04

Agents that fail quietly mid-workflow

A wrong tool call at step three can still look like success at step five, with nobody noticing until later.

05

Irreversible on-chain mistakes

A smart-contract edge case, a wrong wallet network or a replayed transaction can’t be rolled back.

06

Costs and latency that climb at scale

Token usage, model latency and chain congestion grow with users, and so do slow screens and bills.

[ What we test ]

Testing mapped to how AI and Web3 products fail

Each practice targets a layer of your product, from the model to the chain, and links to the full service.

Most critical

AI result validation

Answers graded against evaluation sets for accuracy, grounding, tone and refusals, so “correct” means something even when the wording changes every time.

[ Test scenarios ]

The checklist behind every release

Pick an area to see the scenarios we run, and the client platform where they matter most.

[ Compliance & standards ]

Tested against the frameworks your product answers to

Enterprise buyers ask about AI risk, data handling and security before they sign. We test the controls and hand over evidence your team can use.

OWASP Top 10 for LLMs

Prompt injection, insecure output handling, data leakage, excessive agency and the other risks AI products face.

NIST AI RMF · EU AI Act · ISO 42001

Transparency, human oversight, logging and risk controls tested against the frameworks your customers ask about. We test; we don’t certify.

SOC 2 · ISO 27001 · GDPR

Access control, audit trails, data residency and deletion requests, with evidence your auditors can use.

Smart-contract security

Reentrancy, access control, overflow and oracle risks checked in your test plan, alongside your external audit, not instead of it.

[ Platforms, models & tools ]

The stack we test AI and Web3 products on

If your model, chain or framework isn’t here, we’ll say plainly where we need ramp-up time.

Products

On client projects
Enterprise AI gatewaysCopilots & chatbotsRAG & knowledge searchAI agentsAI website buildersProcurement & GovTech AIDecentralised apps

Models & chains

What we test against
OpenAIAnthropic ClaudeGoogle GeminiOpen-source & fine-tuned LLMsVector databasesEthereum & EVM chainsSolanaWallets: MetaMask, Phantom

Automation & evaluation

Our engineers’ stack
PlaywrightPostQodePostmanJavaScriptLLM-as-judge rubricsGitHubJira

Performance & security

Our engineers’ stack
JMeterk6OWASP ZAPBurp Suiteaxe DevToolsHardhat & Foundry

[ Case studies & results ]

Four AI products, from enterprise gateway to website builder

An enterprise generative AI platform, a knowledge-search assistant, government AI agents and an AI website builder.

Enterprise generative AI · AI gateway

Invenci AI

1,100+test cases across platform, gateway and client solutions
500+prompts in use-case evaluation sets
150+adversarial prompts run against gateway guardrails
~60%shorter regression window before each release

The challenge

Chatbots, copilots, RAG pipelines and an AI Gateway share platform components, so one change to a prompt template or retrieval step can ripple into several customer deployments. Answers change wording on every run, and governance rules have to hold when users push against them.

Our approach

  • A risk map per client solution and the shared components beneath it
  • Evaluation sets graded for accuracy, grounding, tone and refusals
  • Adversarial prompts against PII masking, blocked topics and role-based access
  • Multi-step AI workflows checked at every step
  • Playwright and PostQode regression across web, mobile web and PWA
Read the Invenci AI case study
Enterprise knowledge AI

Korra

An AI assistant that finds answers across a company’s documents and tools. Every answer has to come from the right source, and only from sources the user is allowed to see.

What we test

  • Answer accuracy and cited sources
  • Permission-aware retrieval
  • Document ingestion and connectors
  • Refusals when the answer isn’t known
Visit korra.ai
GovTech AI agents

Binoloop

AI agents for public-sector procurement, permitting and compliance. Evaluations and approvals have to be accurate, fair and auditable.

What we test

  • Proposal and document assessment output
  • Consistency and bias across submissions
  • Audit trails and approvals
  • Secure document handling
Visit binoloop.com
AI website builder

Stunning

Websites generated from a short brief. The AI has to produce pages that look right, work on every device and publish without broken links or layouts.

What we test

  • Generated pages against the brief
  • Edits and regenerations
  • Responsive layouts and browsers
  • Publishing, domains and forms
Visit stunning.so

[ How we work ]

Five steps, starting with a free pilot

The same process on a one-week pilot or a multi-year engagement. Only the scope changes.

  1. 01Day 1–2DiscoveryWe use your product, then walk the models, prompts, contracts, integrations and recent incidents with your team.
  2. 02Week 1Test strategyA risk map ranked by user and business impact, the scenario checklist and the first evaluation sets for your use cases.
  3. 03Every sprintExecutionManual, evaluation, automation, security and load testing on every build, inside your tracker.
  4. 04Daily & weeklyReportingDaily progress in your tracker, a weekly report, and severity-ranked findings with steps, screenshots and video.
  5. 05OngoingContinuous supportRegression and evaluation runs on every model, prompt or contract change, and the team scaled around big launches.

[ Why QAonTOP ]

Why AI and Web3 teams pick us, and stay

AI domain, from live products

An enterprise AI gateway, knowledge search, government AI agents and an AI website builder tested for real teams.

Certified, in-house engineers

ISTQB-certified QA engineers employed by QAonTOP, not freelancers passed between projects.

We judge answers, not strings

Rubric-based evaluation for accuracy, grounding and policy, built for output that changes on every run.

We try to break the guardrails

Adversarial prompts and abuse cases written by testers who think like attackers.

Your data and models stay private

NDA signed before access, synthetic or masked data by default, and every test asset stays yours.

[ Social proof ]

Team really stepped up our testing with AI-driven automation. QAonTOP has improved product quality, and earned more clients. They feel less like a vendor and more like a true growth partner.
Lior M., CEOQAonTOP client Verified client
AI clients Invenci AIKorraBinoloopStunning

[ Free checklist ]

AI & Web3 release readiness checklist

Not ready to talk yet? Take the checks we run before a model upgrade, a new AI feature or a contract deployment, with what a pass looks like for each one.

  1. AccuracyAnswers match the evaluation set
  2. GroundingEvery claim has a source
  3. GuardrailsAdversarial prompts are refused
  4. PrivacyNo data leaks across users
  5. AgentsEach step checked, not just the end
  6. On-chainContracts and wallets behave

Send me the checklist

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The checklist is on its way. When you want a second pair of eyes before a release, book a free assessment.

[ FAQ ]

Questions AI and Web3 teams ask us first

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[ Contact us ]

Get a free test assessment of your platform

✓ Free one-week POC✓ NDA before access✓ A QA lead replies the same day

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