Bingham Intelligence | Data and Evaluation for Human Interaction Models
Performer wearing earbuds
PERFORMER{{ perfState }}
CUE SENT TO PERFORMER · 3.05 s
Look up and away, hold the pause.
YOUR AI AGENT{{ agentState }}
LABEL WRITTEN · FAIL · 3.42 s
The agent API event occurred 0.330 s after the observed pause began.
Training data and evaluation for Human Interaction Models

Teaching AI to read people.

We put AI into real conversations with performers, test how it responds, and turn those interactions into data your team can use.

SESSIONScene 07 · Pause handling
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PERFORMER
YOUR AI
For teams building Human Interaction Models, video and voice agents, AI coaches and humanoid robots.
The problem

AI that sees, hears and responds to people face to face now has a name: Human Interaction Models. They still miss the cues people catch without thinking.

A correct answer can still arrive at the wrong moment. Research benchmarks expose gaps in timing and nonverbal understanding; live studies examine how those behaviors appear in your own product.

Sources: NVIDIA VideoFDB (2026); Tavus Griffin research preview (October 2026).
People90%
Griffin Lite · TOR-Alignment73.8%
VideoFDB perception track · TOR-Alignment · October 2026
What we cover

Human interaction is more than taking turns.

Test how your AI responds when people hesitate, disagree, change their tone or expect it to stay in character. We design scenes around your product and evaluate the behaviors that matter to your users.

Timing and attentionDoes it recognize when to respond, wait, listen or make space?
Emotion and toneHow does it respond to expressed frustration, uncertainty, enthusiasm or discomfort?
Personality and roleDoes it stay in character and maintain the role the user expects?
Misunderstanding and repairCan it recognize confusion, accept a correction and get the conversation back on track?
Pushback and boundariesHow does it respond when a person disagrees, refuses or challenges it?
CollaborationCan it clarify goals, negotiate a plan and adapt as the conversation changes?
Group dynamicsHow does it handle competing speakers, shifting attention and uneven participation?
Consistency across peopleDo its responses change across accents, communication styles and participant backgrounds?
Sensitive momentsHow does it respond to distress, escalating tension or a request that needs human support?

Each study focuses on agreed scenarios, participants and behavioral criteria. Receive recorded interactions, labeled evidence and findings tied to your product.

From conversation to physical interaction.

Our longer-term work extends into how robots behave around people: when to approach, how much space to leave, when to yield and how to respond to human signals.

Scope an interaction study
Vision

The social layer for AI and robots.

Human Interaction Models bring voice, vision and behavior into real-time conversation. Our longer-term direction extends that work into how robots approach, respond and share space with people. Physical systems need their own data and validation.

NOW
Video agents

We test and train the AI faces people already interact with: support agents, interviewers, tutors and assistants.

NEXT
Robot perception

Adapt scene capture with robotics partners to study human signals from the robot’s perspective.

THEN
Real robots

Performers work in the room with your robot. Its motion data joins the same session file, ready for robot training.

LONG TERM
The standard

The behavioral test every humanoid passes before it works around people.

Robots only learn behaviors like yielding and following a gesture when a person is in the training scene.Source: HABIT dataset, 2026

How it works

Data vendors sell hours of human work. We sell instrumented interactions: the system knows exactly what the person did and when.

01Brief

The performer learns the situation and goal, plus exact lines when a scene needs them.

02Perform

They meet your live AI. The app cues the key moment at an exact time.

03Capture

Both sides and your AI's own events land on one clock.

04Score

Recording review verifies observed behavior. Labels follow agreed criteria, with retests after your next release.

Explore the product →

What we offer

Four ways to work with us, all built on live sessions between real people and your AI.

Interaction Studies

Performers test your live product on agreed scenes built around your use case.

Independent Benchmarks

Comparative studies with consistent conditions and documented criteria.

Continuous Testing

The same scenes on every build, with regressions flagged.

Interaction Data

Labeled human-to-AI sessions built around what your model gets wrong.

See solutions and pricing →
Candidate in an interview
Example

An AI interview coach

Does it wait when a candidate freezes, stop when they cut in, and stay steady when they get defensive?

We design those moments, run them with performers on the live coach, document what breaks, and retest after every update.

FREEZE = THINKING PAUSECUTTING IN = INTERRUPTION
Performer looking at camera
For performers

Get paid to perform with AI.

Remote sessions from your phone. Most scenes give you a situation and a goal, not a script. You choose what your recordings can be used for, and you're paid for every accepted session.

Consent is separate for testing, publishing and training.
Customers receive a rights record with every session.
Short, remote sessions from your phone.
Apply to perform

See where your AI misses people.

Tell us what you're building. We'll scope a study around the behaviors that matter for your release.

Book a study
Bingham Intelligence · Overview