THE TECHNOLOGY, IN PLAIN ENGLISH
What's behind it, without the jargon.
You don't need to know any of this to work with us. It's here if you're curious, or if your technical team wants to know how we build.
Large language modelsLLMs
The AI that reads, writes and reasons. We choose the model that gives the best result for the job and your budget.
For example: drafting email replies in your tone of voice.
Claude
OpenAI
Gemini
MistralAnswers from your documentsRAG
Before answering, the AI looks up the relevant parts of your own files, so replies are accurate, current and show their source.
For example: a Teams assistant that answers HR policy questions.
SharePoint
Notion
Supabase
PineconeConnections to your toolsMCP
A standard way for AI to use your software safely, with only the permissions you allow.
For example: the AI checks your calendar and books a meeting itself.
MCP
HubSpot
Google Calendar
SlackAI agentsAgents
AI that completes a task from start to finish, across several tools, and asks a person to approve anything important.
For example: an agent that handles a refund request end to end.
Voice agentsVoice
Phone assistants that listen, understand and reply in a natural voice, connected to your number and systems.
For example: a receptionist that books appointments 24/7.
ElevenLabs
Retell AI
Vapi
DeepgramContent pipelinesMedia
Automated steps that turn a brief into finished images, video or voiceover, in your brand style.
For example: a new product photo set every time you add stock.
Higgsfield
HeyGen
Runway
fal