The AI tool your *workflow needs.
Graders, generators, assistants, analysers — designed around your exact job to be done and shipped from prototype to production. Model-agnostic, cost-controlled, and deployed where you need it: web app, API, or Moodle plugin.
is falling behind.
The right AI integration doesn’t replace people — it multiplies what they can do. One chatbot handles 80% of student queries. One automation workflow eliminates five hours of weekly data entry. The productivity gain is immediate.
Six AI capabilities.
One experienced team.
Context-aware assistants trained on your content, documents, or knowledge base. Built on OpenAI, Claude, or open-source LLMs.
Retrieval-Augmented Generation — your AI answers strictly from your data. No hallucinations, no off-topic responses.
Bloom's objectives, quiz generators, adaptive assessments, and learning analytics layered onto Moodle or any LMS via API.
Zapier / Make / n8n workflows — lead routing, CRM sync, WhatsApp sequences, invoice generation, and report distribution.
Custom integrations with GPT-4o, Claude Sonnet/Haiku, Gemini, and Whisper. API key management, cost monitoring, and fallbacks.
Dashboards that summarise engagement data, flag at-risk learners, and surface insights that would take hours to find manually.
AI works for
every type of team.
Course chatbot that answers student questions 24/7 — trained only on the course content.
AI that auto-drafts weekly student progress reports and sends them to parents via WhatsApp.
Onboarding bot that answers policy questions, routes tickets, and logs compliance completions.
AI pipeline that turns long-form recordings into blog posts, summaries, and social snippets.
GPT-powered lead qualification bot embedded in the site — filters enquiries before they reach sales.
Automation workflows that eliminate repetitive manual tasks: data entry, email follow-ups, reporting.
We map where your team spends time on repetitive, automatable tasks. One well-chosen AI integration can save 10+ hours per week.
GPT-4o for complex reasoning, Claude for long documents, Whisper for audio — we pick the model that fits the task and your budget.
RAG pipeline, chatbot, workflow, or custom API integration — built, tested with real data, and tuned for accuracy before handover.
Deployed to your infrastructure. Full technical documentation and a walkthrough session so your team can maintain and extend it.
Common
questions.
Still have questions? Book a call — we're happy to discuss your specific use case.
What kinds of AI tools do you build?+
Graders and answer-script analysers, content and quiz generators, RAG chatbots trained on your material, document analysers, dashboards, and internal automation tools. If it involves an LLM doing a repeatable job for your team or your learners, we can scope and build it — deployed as a web app, an API, or a Moodle plugin.
How does a project actually run?+
Discovery first: we map the exact job to be done and what success looks like. Then a working prototype on your real data, so you can judge quality before committing to a full build. Then production: hardened, cost-controlled, documented, and deployed to your infrastructure. You see something working early rather than waiting months for a big reveal.
Will the tool make things up (hallucinate)?+
For anything answering from your content we use retrieval-augmented generation (RAG) — the model is constrained to your source material and says so when the answer is not there, rather than inventing one. For generative tasks like report drafting we build in human review checkpoints. Accuracy is a design goal, not an afterthought.
Which models do you use, and who pays for them?+
We are model-agnostic — Claude, GPT-4o, Gemini, Whisper, or open-source models like Llama and Mistral for on-premise needs — and pick what fits the task and budget. LLM usage is billed to your own API keys, so you keep full visibility and control of running costs. We add abuse and cost guardrails so a runaway bill is not possible.
How is our data handled?+
Your documents and data are used only to build your private tool — never to train public models. We follow data-handling best practice and can deploy entirely to your own cloud if data residency or compliance requires it.
Can you build the tool into our existing platform?+
Yes. We deploy as a standalone web app, an API your product calls, or a native Moodle plugin. If you already have a website or app, the tool can live inside it rather than being a separate thing your users have to visit.
Tell us what you’re
building.
A quick form is all it takes. We’ll review your project and reach out within 24 hours to schedule a no-obligation discovery call.