AI orchestration & engineering studio — QA in its DNA · est. 2021
We build the AI systems that survive production.
QATestingPlus is an AI orchestration & engineering studio: AI agents, RAG pipelines, automation workflows and full-stack web & API products — built by a team that started in QA. Every release ships gated by evals, regression tests and security checks. It's tested — it's in our name. Build with us, or bring the agent you already built.
38caught before prod
~6hfind → shipped fix
Currently engaged witha live AI support chatbot·an owner vetting an agency-built site·an owner auditing a freelancer-built site·a restaurant's QR-code menu app·a clinic on an online-booking app·a no-code e-commerce shopAnonymized by request — we let the work speak.
38bugs caught before they reached production
6haverage time from find to shipped fix
0missed launches on our watch
1 day+to ship a small feature — bigger scopes scale up
Aggregate, last 7 days across active engagements
01 / The problem
The demo worked. Production didn't.
The industry is racing to embed AI agents everywhere — and in our experience, only a fraction of agent pilots ever reach production. The failures land on reliability, evals and governance. In other words: on testing.
01
Pilots die on reliability, not ideas.
The agent worked in the demo. Then real data, real users and real edge cases arrived — and nobody had defined what 'working' even means. Most pilots never recover from that.
02
Evals are the actual work.
On the engagements we run, most of the work of getting AI to production goes into evaluation, not prompting. An agent without an eval suite is an agent nobody understands.
03
Orchestration beats models.
The differentiator in 2026 isn't which model you call — it's the system around it: tools, data, guardrails, pipelines. That's engineering, and it has to be tested like engineering.
04
And the classic bugs didn't go anywhere.
Your product is still a web app and an API at the end of the day. Auth, payments, empty states and load still break — we never stopped testing those.
02 / What we build
We build agents, pipelines and products. And we prove they work.
QATestingPlus is one team running five build-and-test practices — engage us for one or hand us the whole build, and choose how far we take it: test only, or test plus the fix. Scoped to your case after a short discovery call.
01
AI agents & orchestration
Multi-agent systems, Model Context Protocol (MCP) integrations and tool-using agents wired into your data and pipelines — shipped with an eval suite gating CI: hallucination, prompt drift, safety regression.
Multi-agent orchestration & MCP integrations
Tool-using agents wired into your data & pipelines
Eval suites gating CI — hallucination, drift, safety
AnthropicOpenAIMCP
02
RAG systems
Retrieval pipelines over your documents and data — grounded answers measured with evals, not vibes, against a graded golden set.
Retrieval pipelines over your documents & data
Faithfulness measured with promptfoo, Ragas & DeepEval
Golden sets graded in CI on every change
promptfooRagasDeepEval
03
Automation & workflows
Agentic workflow automation that replaces manual ops — document intake, reporting, data syncs, back-office processes — wired into the tools you already use and monitored like production software, because it is.
Agentic workflows replacing manual, repetitive ops
Integrations across your SaaS tools, APIs and data
Tested and monitored, with humans-in-the-loop where it matters
PythonTypeScriptGitHub Actions
04
Full-stack development
Classic product engineering, end to end — React and Next.js front ends, APIs and back ends in Node, Python, Java or .NET, any database — delivered with the regression tests already written.
Front ends in React, Next.js & TypeScript
APIs & back ends in Node, FastAPI, Spring Boot & .NET — any SQL or NoSQL database
Regression tests delivered with every feature
ReactNext.jsNode.js.NET
05
Testing & QA
The practice we're named for — functional, regression, performance, security testing (auth flows, injection, access control) and AI agent evals, for systems we built or systems you brought us.
Full testing matrix — functional to performance
Security testing: auth flows, injection, access control
Agent testing & evals for AI you built elsewhere
PlaywrightOWASP ZAPpromptfoo
03 / The Plus
Anyone can build an agent. We ship ones that survive.
We built this studio on the belief the industry is now proving: building the agent is the easy half. Evals, testing and security are what get it to production — so we never ship without them. A demo you can't trust is just a bug you haven't met yet.
5 steps each. Five end the same way. Five don't.
Typical AI dev shop
QATestingPlus
01Builds the agent. Demos it impressively.
+Builds the agent — with an eval suite from day one.
02Ships when it 'looks right'.
+Ships when hallucination, drift and safety evals pass.
03Reliability is the client's problem now.
+Security testing on auth, injection, access control.
04Every prompt change is a gamble.
+Eval + regression suites gate CI on every change.
05The pilot joins the ones that never reach production.
+It ships — tested, evaluated, monitored.
How you work with us
You choose how far we take the fix.
Same rigor whether it's an agent, a RAG pipeline or a classic web app. The only difference is who ships the patch — your team, or ours.
Mode 01
Test only
For teams with engineers but not enough QA depth. We test it all — functional flows, security, and evals for agents and RAG, whether we built the system or someone else did — and hand you a prioritized, reproducible findings report.
- Severity-ranked findings with repro steps & traces
- Agent eval results: hallucination, drift & safety
- Sprint-synchronized handoff to your team
Your dev team and support ship the fixes.
Mode 02
Test + Fix — the Plus
For teams that want it closed, not queued. We find it and we deliver the patch, the regression test or eval, and the pipeline wiring.
- Everything in Test only, plus implementation
- Merged PRs with a regression test or eval for each fix
- Wired into your CI so the class of bug can't return
Our developers ship the fix.
04 / How it works
Audit. Test. Fix. Harden.
Four steps, scaled to your scope — a day for a small fix, a few weeks for a full agent or product build. We start in week one and leave you with a release process — evals included — you can trust.
01Step
Audit
Two weeks reading your codebase, your pipeline, your prompts and the last 90 days of incidents. We come back with the risks already live in production — not a slide deck.
Output
Risk map & fix backlog
02Step
Test
The suite you wish you had: exploratory passes, contract tests, load runs, agent evals and RAG faithfulness scoring. Every finding lands with a clear reproduction and severity.
Output
Prioritised findings
03Step
Fix
Our developers deliver the patches. Code review stays with your team. We keep the loop tight, the diffs small, the explanations clear.
Output
Shipped fixes & regression tests
04Step
Harden
We wire the tests and evals into your pipeline, set up the safety gates, document the runbook. You inherit a process that catches the next class of issue automatically.
Output
Release gates & handover
Turnaround: a day for a small fix, weeks for a big buildHand-over: your team owns itPricing: personalised offer
Proof
Claimed is cheap. Here's what shipped.
Anonymized by request. Real engagements, generic attribution — we show what broke and what we changed, not borrowed names or logos.
AI support chatbot · LLM behavior
The assistant regressed on every prompt change, with nothing to catch it.
no eval coveragegraded golden set on CI
Read the full story No-code e-commerce shop · checkout
Checkout silently dropped orders under a race condition no test covered.
orders lost, unnoticedrace fixed · regression test gating checkout
Read the full story Clinic booking app · scheduling
A timezone bug double-booked slots and overran the calendar.
double-booked slotscorrect across time zones · covered by tests
Read the full story Tested is the default
Every deliverable — agent, pipeline or product — arrives with the evals and regression tests that prove it works. Not as an add-on. As the definition of done.
A week-1 quick win
We start in week one and ship something useful by week two — not a discovery deck.
One team, one invoice
QA, developers and DevOps in the same channel. No vendor juggling, no hand-off tax.
Replies within one business day
From a human, with a plan. You always know where your release quality stands.
How we scope it
No price list. A real offer.
Every system is different — especially the ones with a model in the loop. We learn yours on a short discovery call, then come back with a scope and a fixed quote built around it. No generic packages, no surprise line items.
Audit sprint
Fixed scopeone-off
A focused read of your codebase, pipeline, prompts and the last 90 days of incidents.
- Risk map of issues already in production
- Eval & coverage gaps for any AI features
- Clear recommendation: where to start
Test only
Personalisedby engagement
Full testing rigor — functional, security and agent evals. We find it and report it, your team ships the fix.
- Functional, regression, exploratory & API testing
- Agent evals: hallucination, drift, safety
- Severity-ranked findings with repro & traces
Test + Fix — the Plus
Personalisedby engagement
We find it and we ship the fix — merged PRs, regression tests and evals, pipeline gates.
- Everything in Test only, plus implementation
- Fixes delivered as reviewed pull requests
- Regression tests & evals wired into your CI
Every engagement starts with a free discovery call — and an NDA first, if you want one, before you share anything. You'll get a written scope and a fixed price, usually within one business day. Pick the depth that fits; scale up or down as you go.
FAQ
The questions you'd ask on the call.
Can you test or evaluate an AI agent we already built?
Yes — that's one of the most common ways teams start with us. Whoever built it and whatever framework it runs on, we build the eval suite around it: hallucination, prompt drift and safety regression scored against a graded golden set, plus security checks on auth and tool access. You get the evals wired into your CI so every future change is gated — and if you want the failures fixed, we ship those too.
What is your AI orchestration stack?
We build multi-agent systems and MCP integrations on OpenAI, Anthropic and Azure AI, in TypeScript and Python. Evaluation runs on promptfoo, Ragas, DeepEval and LangSmith — wired into CI so evals gate every release. For RAG we build retrieval pipelines over your documents and data, scored for faithfulness against a graded golden set. If your stack differs, tell us in the form and we'll be straight with you about fit.
We built our app with AI, a no-code tool, or a cheap freelancer — can you help?
That's exactly who we're built for. Apps generated by AI or assembled fast tend to work in the demo and break on the edges — auth, payments, empty states, data that doesn't fit the happy path. We make that app production-ready: we test it hard, then either hand you a fix list or ship the fixes ourselves. No judgment about how it was built.
Can you do test-only, without touching our code?
Yes. In Test-only mode we run the full suite — functional, security and AI evals — and hand your team a prioritized, reproducible findings report: severity, repro steps and traces. Your developers and support ship the fixes. Choose Test + Fix when you'd rather we close them.
Do you work with our stack?
Almost certainly. We build and test React & Next.js front ends; Node, Python (FastAPI, Django), Java/Spring Boot and .NET back ends; and any database, SQL or NoSQL — PostgreSQL, MySQL, MongoDB, Redis. We automate with Playwright, Selenium and Cypress, load-test with k6 and JMeter, and build and evaluate AI agents and RAG pipelines on OpenAI, Anthropic and Azure AI with promptfoo, Ragas and DeepEval. If something's unusual, tell us in the form and we'll be straight with you about fit.
How fast do you start, and how fast is a fix?
We start in week one and aim to ship a meaningful fix by week two. Across active engagements the average time from finding a bug to a shipped fix is about six hours.
How much does it cost?
We don't publish a price list, because a generated MVP and a public-facing platform are not the same job. We start with a short, free discovery call to understand your system, then send a written scope and a fixed quote — usually within one business day. You decide how deep to go from there.
Who owns the code, the tests and the evals?
You do, outright. Every test suite, eval set, script and fix is yours to keep and extend — no per-seat tooling tax, no lock-in. We hand over the runbook and walk your team through it.
Can you test AI and LLM features?
Yes — it's the core of the studio. Evaluation suites for LLM features, agents and RAG, plus hallucination, safety and prompt-regression checks scored against a graded golden set — for features we built or ones you bring us.
Get a free audit
Ship the next release without holding your breath.
Tell us what you're building — or what's breaking. We reply within one business day with a concrete plan, not a sales deck.
Or, the direct route
contact@qatestingplus.com