CASE / A8 — Behavioural AI Platform — Demo
Gigaflop Techlab · AI Engineering Practice
Rev. 2026.05 · Demo Build

Six channels.
One meeting. Every signal.

NEXUS analyses pre-recorded meetings and calls across voice, language, facial expression, body posture, eye gaze, and conversation dynamics simultaneously — delivering a structured behavioural report with timestamps in 15–20 minutes.

6 Channels analysed simultaneously 5 AI Agents coordinated pipeline 97+ Rules behavioural detection 15–20 min per 30-min recording
Demo Build — A8 · Multi-Channel Behavioural AI · 2-second precision windows · Cross-session memory
Section01
— The gap no existing tool closes

Transcription isn't analysis.

Four blind spots
current tools ignore ↘

Every week, organisations record thousands of meetings, sales calls, and interviews. The recordings exist — but extracting value is slow and incomplete. Current tools transcribe what was said. They ignore everything the camera shows.

Gap 01

Transcripts miss non-verbal signals

A transcript tells you what was said. It tells you nothing about the hesitation before the answer, the vocal stress spike, or the body that pulled back when pricing came up.

Gap 02

Single-channel tools give incomplete pictures

Even the best sentiment tools work on text alone. Real human communication is cross-channel — the words, the voice, the face, and the body rarely all say the same thing at once.

Gap 03

Manual review doesn't scale

A trained analyst could spot everything NEXUS detects — but watching every recording at 1× speed is not a business process. NEXUS processes a 30-minute recording in 15–20 minutes.

Gap 04

No memory across sessions

Tools that process one recording at a time cannot show you that the same client is disengaging more in each successive meeting — a pattern only visible across sessions, not within them.

Section02
— What NEXUS reads simultaneously

Six channels. Analysed in parallel.

2-second precision
across all streams ↘
NEXUS multi-channel analysis platform
NEXUS — platform overview showing multi-channel analysis across participants
CH · 01

Voice Analysis

Vocal stress, pitch patterns, speaking speed, energy levels, tone changes, filler words, and pauses. Each speaker's personal baseline is established from their own voice — deviations from self, not arbitrary standards.

CH · 02

Language Analysis

Sentiment, persuasion patterns, objections, commitments, decisions, and key terms. Identifies what was promised, what was challenged, and how language patterns shifted across the session.

CH · 03

Facial Expression

Frame-by-frame video processing with three separate analysis layers running in parallel: micro-expression recognition, body posture tracking, and gaze pattern analysis.

CH · 04

Body Language

Posture shifts, hand movements, and physical engagement indicators. Participants are tracked across the full session even when they change position or briefly leave the camera view.

CH · 05

Eye Contact + Gaze

Gaze direction, eye contact duration, and attention patterns. Identifies where participants are looking during key moments — toward camera, away, or downward — and what that signals at each timestamp.

CH · 06

Conversation Dynamics

Talk ratios, interruption counts, turn-taking latencies, topic dominance, and balance. Maps the power and engagement dynamics between all participants across the full session.

Section03
— Five specialised agents, one unified report

How a recording becomes a report.

Upload to report
15–20 minutes ↘
NEXUS pipeline analysis results
NEXUS — cross-channel analysis results with per-participant behavioural findings
  • 01
    Agent 01 · Voice

    Voice Analysis Agent

    Processes the audio track in 2-second windows. Measures vocal stress, pitch variance, speaking speed, energy levels, filler word frequency, and pause patterns. Establishes a personal baseline for each speaker in the first two minutes so all deviations are measured against that speaker's own normal.

  • 02
    Agent 02 · Language

    Language Analysis Agent

    Works from the full transcript. Tracks sentiment trajectories, persuasion techniques, objection language, commitment statements, and explicit decisions. Identifies how language patterns evolve from the opening to the close of the session.

  • 03
    Agent 03 · Visual

    Visual Analysis Agent

    Processes the video stream frame by frame with three sub-layers running in parallel: facial expression recognition, body posture analysis, and gaze tracking. Maintains speaker identity across position changes and camera re-entries throughout the session.

  • 04
    Agent 04 · Conversation

    Conversation Dynamics Agent

    Maps interaction patterns between all speakers: talk ratios, interruption counts, response latencies, and topic dominance. Identifies whether rapport or tension characterises the session and flags the moments where the dynamic shifted.

  • 05
    Agent 05 · Fusion

    Fusion + Reporting Agent

    Brings all four streams together and looks for cross-channel disagreements — the verbal agreement paired with visual withdrawal, the calm voice contradicted by elevated facial stress. Generates the final structured report tailored to the selected meeting type: sales call, job interview, or recurring client meeting.

Section04
— The outputs you receive after processing

A report that shows you what happened.

Five output
components ↘
Output 01 · Interactive Video Player

Watch the recording. See what we saw.

The original video plays with a live sidebar showing behavioural indicators at each moment. Indicators appear and disappear as the video plays. A timeline bar marks key events so you can scan the full session visually and jump to any moment instantly — no more watching 60 minutes to find the three moments that matter.

NEXUS interactive video player with behavioural sidebar
Interactive video player — live behavioural indicators with timeline event markers
NEXUS narrative report with cross-channel insights
Narrative report — cross-channel insights, participant profiles, and priority recommendations
Output 02 · Narrative Report

Cross-channel insights in plain language.

A written analysis that prioritises what matters most. Key facts and commitments are listed first. Each participant gets a synthesised behavioural profile combining all six channels. Cross-channel insights describe exactly where verbal and non-verbal signals disagreed — with the timestamp to prove it. Recommendations close the report, each with a reason and a priority level.

NEXUS speaker profiles and searchable transcript
Speaker behavioural profiles — engagement levels, stress patterns, and notable moments per participant
OUT · 03

Speaker Profiles

Every participant receives a behavioural profile card summarising their engagement level, stress patterns, and notable moments — described in plain language, not numbers or charts. Built from all six channels, not just what they said.

OUT · 04

Searchable Transcript

Full transcript with speaker labels, timestamps, and sentiment indicators. Search by keyword or filter by speaker. Click any segment to jump to that exact point in the interactive video player.

OUT · 05

Cross-Session Intelligence

Participants are recognised across recordings. If the same person appears in multiple meetings, their behavioural observations accumulate over time — enabling trend analysis and longitudinal comparison that single-recording tools cannot provide.

OUT · 06

Recommendations + Actions

Each report closes with specific follow-up actions, each with a reason and a priority level. Grounded in exactly what was detected at exactly which moment — not generic advice based on keyword counts.

Section05
— Four use cases with measurable impact

Built for teams that need the full picture.

Sales · CS
HR · Leadership ↘
Use Case 01 · Sales & Revenue

Sales & Revenue Teams

Understand how prospects actually react to pricing, demos, and value propositions. Identify the moments where verbal agreement masked visual hesitation — the unspoken objections transcript-only tools miss entirely. Get coaching insights grounded in observed behaviour so reps know exactly what to improve in their next call.

Use Case 02 · Client Success

Client Success & Account Management

Track relationship health across recurring meetings by monitoring engagement trends and sentiment shifts over time. Detect early warning signs of disengagement before they surface as churn — a client who nods less, responds slower, or shows less enthusiasm across consecutive meetings tells a story the transcript alone will not.

Use Case 03 · HR & Recruiting

HR & Recruiting

Assess candidate behaviour across interview questions with structured feedback that goes beyond interviewer recall. Compare how candidates respond under different types of pressure. Support fairer evaluation with consistent, objective observations for every candidate — reducing the influence of first impressions and interviewer bias.

Use Case 04 · Leadership

Meeting Productivity & Leadership

Measure real engagement in long meetings rather than assuming presence equals participation. Identify exactly when and why participants disengage. Surface decisions and action items with owners and timestamps. Flag when meetings run longer than necessary because one or two voices dominate while others withdraw.

001 / Analysis Channels
6
Voice · Language · Facial Expression · Body Posture · Eye Gaze · Conversation Dynamics
002 / AI Agents
5
Voice, language, video, conversation, and cross-channel fusion — coordinated pipeline
003 / Behavioural Rules
97+
Across facial expression, posture, gaze, conversation dynamics, and content-type analysis
004 / Processing Time
15–20 min
Upload to completed report for a typical 30-minute recording
005 / Precision Window
2 sec
Every observation computed in 2-second windows — precise timestamps for every finding
006 / Session Memory
Participants recognised across recordings — behavioural trend analysis over time
Section07
— Build this for your team
AI Engineering
· END ↘

Ready to see what your meetings
actually contain?

This is a demo build. We can scope a production version for your sales team, HR function, or client success operation — let's talk through what the data would look like for your specific use case.

Book a 30-min discovery call → hello@gigafloptechlab.com
Note: Production deployments are scoped per client — meeting type taxonomy, CRM integrations, custom report formats. The 6-channel architecture is the foundation. Everything else is configurable.