AI development and LLM testing services
We design, build and test AI features, including assistants, retrieval-augmented search and workflow automation, so they're accurate, safe and ready for real users.
Overview
Adding AI to a product is easy to demo and hard to get right. TopNotch is an AI development company that brings a tester's discipline to every LLM feature we touch. We build AI features into your product, and we measure how well they work before your customers rely on them.
Already built something? Our AI testing services include LLM evaluation, AI red teaming and ongoing regression testing, so you can upgrade models or change prompts without silently breaking what already works.
We keep a human in the loop throughout. AI output can be fluent, confident and still wrong. Automated evaluations tell us where to look, and experienced reviewers decide whether an answer is accurate, safe and right for your customers. That human judgment is what turns a promising demo into a product people can rely on.
What's included
LLM application development
Chat assistants, copilots and AI agents built into your web or mobile product, connected to your data and tools.
RAG and AI search
Retrieval-augmented generation over your documents, help center or knowledge base, with answers grounded in your own content.
AI workflow automation
Document processing, data extraction, classification and summarization that remove repetitive manual work.
LLM evaluation
Evaluation sets, scoring rubrics and automated eval pipelines that measure accuracy, hallucination rates and regressions, calibrated against expert human review.
AI red teaming
Adversarial testing for prompt injection, jailbreaks, data leakage and unsafe output, with documented findings and guardrail recommendations.
AI-assisted QA
Using AI to speed up test creation and failure triage, with human review of everything that ships.
Why teams choose us for AI development
Tested before it ships
Every AI feature we build comes with an evaluation suite and human review, so quality is measured rather than assumed.
Safety built in
We test for prompt injection, data leakage and off-topic answers from day one, not after an incident.
Model-agnostic
We work with leading commercial and open-source models and pick what fits your accuracy, cost and privacy needs.
Tools and technologies
We build with the major commercial LLM APIs and open-source models, vector databases for retrieval, and standard Python and TypeScript tooling. Evaluation pipelines run in your CI so every prompt or model change is checked automatically.
See how we reduced unsafe answers from a healthcare AI assistant before launch.
Further reading: How to test AI features: a practical QA guide for LLM-powered products
Common questions
We build LLM-powered features such as chat assistants, copilots, AI agents, retrieval-augmented (RAG) search and workflow automation, and integrate them into your web or mobile product.
We create evaluation sets of realistic and adversarial prompts, score responses against a written rubric, red-team for prompt injection and data leakage, and run automated evaluations whenever prompts or models change. Human reviewers check real outputs and make the final call on release readiness.
We work with leading commercial LLM APIs and open-source models, and recommend the option that best fits your accuracy, cost, latency and data-privacy requirements.
Yes. Many clients come to us for independent LLM evaluation and AI red teaming of features built in-house or by another vendor.
Automated evaluations are fast and repeatable, but they can't fully judge whether an answer is correct, appropriate or genuinely useful. Our reviewers examine real outputs, calibrate automated scoring against human judgment, and decide whether a release is ready. It's the most reliable way to catch the subtle errors that erode customer trust.
Tell us what you're shipping next.
Book a free 30-minute assessment. We'll look at your release process, point out the biggest risks, and tell you honestly whether we can help.