Every service is built, put live and run for you on a monthly plan. Search, or filter by sector and category.
For businesses whose AI needs to write or classify in their own way. We build a repeatable process that turns your example data into a custom-trained model, tested against held-back examples before each new version goes live.
We build an inline layer that detects and redacts names, emails, card numbers, health identifiers, and custom entities before text reaches any model or log. Redactions are reversible via a secure vault when authorized, so downstream systems still work.
We distill a large model's behavior into a small, cheap one that runs at a fraction of the cost while keeping most of the quality on your task. We generate teacher outputs, train the student, and prove the quality gap is acceptable.
We build a harness that programmatically searches and optimizes prompts against your eval set, treating prompt engineering as a measurable optimization problem. It converges on prompts that outperform hand-written ones.
For teams that need to grade AI output at scale. We build an AI judge that scores answers on your rubric and check it against human ratings so you can trust its scores.
We ingest your knowledge base and connect it to a voice assistant on your phone/IVR line that answers callers with grounded responses read aloud. Answers stay within your documented content and hand off to an agent when unsure.
Automatically detects and bleeps/masks personal data, card numbers and health identifiers in both audio and transcripts before storage or sharing. Produces a redaction log proving what was removed and when.
For operations teams whose questions depend on data that changes by the minute, like open tickets, order status or machine readings. We build an assistant that is refreshed continuously from your live event stream, so its answers are current.
For contact centres and phone service providers whose calls suffer from echo, drops and choppy audio. The system scores the quality of every live call, fixes what it can automatically and alerts your team about the rest.
For teams running AI agents that take actions for customers. We record every step your agents take, then replay those real runs against any change before it ships so you see exactly what broke.
For companies whose AI assistant answers from their documents but often gets it wrong. We find out whether it is fetching the wrong documents or misreading the right ones, fix the search, and rebuild your index.
For businesses whose AI agent reads emails, pages or tickets and can take actions. We attack it like a real intruder would, show every trick that worked, fix each hole and keep testing on every release.
For products where users keep asking similar questions. We store good AI answers and reuse them when a new question means the same thing, so you stop paying again for answers you already have.
For companies with lots of AI usage logs and a task general models keep getting wrong. We turn your past requests and your team's corrections into a training set, train your own tuned model and prove whether it beats the standard one.
For companies with AI features and a support inbox full of past mistakes. We turn closed tickets and your team's corrections into tests your AI must pass, run them on every change and report what fails.