Behavioral Intelligence Platform

See What Others Miss

NEXI turns voice, video and behavior into structured signals, so you can read what the numbers leave out.

How we work

We start from your problem, not our feature list.

The engine is the same in every vertical. What changes is the decision you point it at, and we build that part with you.

01

We start with the decision

We map the decision you are trying to improve: who makes it, and what they cannot see today. If behavior is not the gap, we will say so.

Your problem first
02

We connect to where the conversations already are

Meetings, archives, uploads or a live stream, through the systems your teams already run. Our cloud or your own infrastructure.

Cloud or on-premise
03

We tune the signals to your problem

The same attributes matter differently to a hiring panel and an earnings call. We set which signals count and what is worth flagging.

Configured per use case
04

We deliver into your workflow, then keep going

Signals land in your dashboard, your own tools, or straight through the API. Then we keep tuning with your team against what really happened.

Built with you, not for you

A good part of what NEXI does today started with a customer describing a problem we had not built for yet. The signal layer stays general, and the part that solves your problem gets built with you.

Use cases

One intelligence layer. Many verticals.

Wherever a decision depends on reading people, the same engine applies.

Finance & Markets

  • Earnings calls at portfolio scale
  • Management conviction and guidance clarity
  • KYC and client onboarding interviews
See it running

Education & Training

  • Instructor effectiveness and coaching
  • Student engagement and attention
  • Early signals for learners falling behind
See it running

Venture Capital

  • Pitch and partner meeting analysis
  • Founder consistency across follow-ups
  • Evasion and hesitation flags in diligence
See it running

Workforce & Hiring

  • Structured interview scoring
  • Consistency between interviewers
  • Leadership assessment and coaching

Healthcare & Therapy

  • Therapy and consultation review
  • Patient engagement and adherence
  • Clinician communication quality

Legal & Compliance

  • Fraud and internal investigations
  • Compliance and regulatory interviews
  • Deposition review with timestamps

Research & Advertising

  • Focus groups and concept testing
  • Creative and message reaction
  • Stated preference versus reaction

Customer & Sales

  • Escalation and churn risk
  • Sales calls and deal-risk signals
  • Coaching for frontline teams

Public Sector & Politics

  • Debate and public statement analysis
  • Security screening and vetting
  • Polling and citizen panels

Social Services

  • Family and caseworker interviews
  • Early-intervention risk flags
  • Consistent case documentation

Working on something that is not on this list? Tell us about it.

Same engine, different questions

Same ingestion, same signal layer. Only the questions change.

Introduction to Computer Science
Prof. Johnson24 students
47:23
LIVE
87%
Engagement
92%
Attention
78%
Participation
85%
Comprehension
Engagement · Last 7 Sessions
M
T
W
T
F
S
S
Emotion Analysis
Engaged
65%
Neutral
22%
Confused
8%
Distracted
5%
Student Attention Map24 students
92
88
76
95
82
71
89
94
85
78
91
87
68
93
86
90
83
72
96
88
79
91
85
87
Voice AI Tone
82%

Enthusiastic

V: +1.2A: +0.8
Teacher Evaluation
Planning3.6/4
Delivery3.8/4
Professional3.4/4
Session Timeline
HighNormalDropLow

3 students below threshold

Seats 4, 8, 13

Comprehension drop at 32:15

Topic: Recursion

Classroom Intelligence

Real-time classroom insights that drive outcomes

Engagement, attention patterns and early warning signals from every classroom, without instructors changing how they teach.

  • Computer vision gaze & attention tracking
  • ML-powered behavior pattern analysis
  • Live engagement dashboards
  • Individual student progress profiles
Read the case study
Market Analysis

Read the market before it moves

Earnings calls and investor days at portfolio scale. Red flags, guidance clarity and tone, on top of the financial data you already have.

  • Automated transcript & filing parsing
  • Multi-severity red flag detection
  • Forward guidance clarity scoring
  • Revenue, margin & cash flow analysis
Read the case study
Deal Intelligence

See how founders answer, not just what they pitch

Where conviction holds, where a story shifts between sessions, and which questions a founder keeps steering away from.

  • Pitch and partner meeting analysis
  • Founder baseline across follow-up calls
  • Evasion and hesitation flags in diligence
  • Investor Q&A with speaker attribution
Read the case study