BeyontApplied AI Lab
Intelligence, in context.

Beyond words.
Better outcomes.

We research how understanding context beyond words improves conversational outcomes. Starting with sales and customer service.

Explore our thesis
01 / Our thesis

The same words.
A different conversation.

Words carry meaning. The situation changes what to do with it. We explore how AI can use both to choose a more helpful next step.

Imagine someone says
“Sure, go ahead.”

A rushed reply. A meeting in two minutes, shared with the agent. Very little room for a long conversation.

A more context-aware next step

“I can give you the short version now, or we can find a better time.”

Respect the momentOffer a choice before asking for more attention.

Illustrative scenarios, not live model outputs. Context is a signal to check, not an assumption to treat as fact.

02 / Research directions

Understand the context.
Improve the outcome.

Our research starts where the transcript ends. We investigate which signals add value, when they matter, and how to put them to work.

01

How it is said

Explore how tone, pauses, emphasis and conversational rhythm help clarify intent and guide a response.

Prosody · Turn-taking · Hesitation
02

What surrounds it

Study how time, activity and environment affect the kind of interaction that is useful in a particular moment.

Timing · Activity · Environment
03

Room to engage

Investigate how attention, competing demands and willingness to continue can guide the pace and depth of a conversation.

Availability · Distraction · Engagement
03 / Our starting point

Two conversation types.
One measurable question.

Does incorporating context improve the outcome? We want to answer that question first in sales and customer service, where the next conversational decision can make a meaningful difference.

Sales conversations

Find the right moment to move forward.

Explore how timing, attention and vocal cues help an agent decide when to ask, explain, suggest a next step or offer to reconnect.

Measure: qualified conversion · Agreed next steps · Customer experience
Customer service

Make resolution easier.

Explore how signs of urgency, distraction or frustration can help an agent adjust its pace, clarify a need or offer a human handover.

Measure: resolution rate · Customer effort · Satisfaction

These are our initial research priorities and evaluation goals, not claims of demonstrated performance.

04 / Applied, by design

A hypothesis is a starting point.
The outcome is the test.

We start with sales and customer service, testing whether adding context leads to measurable improvements in real conversations.

01 / Identify

Find the meaningful signal.

Start with situations where additional context could change the best next action.

02 / Build

Connect context to action.

Prototype how an agent should clarify, adapt, wait or hand over when the situation calls for it.

03 / Evaluate

Measure the difference.

Compare the same agent with and without additional context. Measure conversion and agreed next steps in sales; resolution and customer effort in service.

Context should be relevant, permissioned and open to correction. Its value is measured by better outcomes for customers and businesses.
Beyont / Applied AI Lab

Better context.
Measurably better outcomes.

Our ambition is to turn a richer understanding of context into better conversational decisions—and demonstrate the difference in sales and customer service.

Explore our research directions