The Agent Infrastructure Company

The Missing Layer in the Agent Stack: HUMAN INTELLIGENCE.

AI agents today can reason and act, but they are contextually blind. Chaorda builds the human intelligence layer—converting real-time signals into actionable behavioral insights.

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Tension

Trust

Engagement

Intent

Validated by Korea's Innovation Ecosystem

3×

Strategic Investments from CNTTECH

National Innovation Programs Awarded

Nationally

Recognized Venture

CNTTECH Strategic Investment

Three rounds of strategic investment from CNTTECH, Korea's premier accelerator, validating the technical and market thesis of Chaorda.

TIPS Program Selection

Officially selected for the TIPS Program, South Korea's flagship government-backed technology commercialization and venture acceleration initiative.

Government Innovation Programs

Supported through multiple national innovation, commercialization, and market expansion programs.

Global Expansion Support

Selected for government-supported international market development initiatives.

Pre-TIPS Recognition

Recognized for early-stage innovation and commercial potential through national startup support programs.

Commercialization Programs

Selected for and supported by Korea's most selective startup growth and commercialization acceleration initiatives.

The Bottleneck

Agents miss the human state.

Interaction quality is the final frontier. We make frustration, trust, and uncertainty legible for the agent runtime.

Agents today

Retrieve
Reason
Act

Missing layer

Frustration
Trust readiness
Preference drift

Chaorda adds

Predict state
Adapt behavior
Preserve consent

Infrastructure

Human Context Infrastructure.

Multimodal signal ingestion

Normalize consented tone, pacing, text inflection, interaction friction, and expression-derived signals into a privacy-preserving event stream.

Preference drift modeling

Detect when confidence, intent, attention, trust, or emotional state shifts during a human-agent interaction.

Adaptive runtime SDK

Expose behavior controls that let agents adjust tone, timing, escalation, and response strategy without rebuilding the application stack.

Consent architecture

Treat consent, modality controls, edge tokenization, audit trails, and deletion rights as part of the product layer.

Proof of Concept

From transaction to interaction.

The platform detects preference drift and interaction friction, enabling agents to adjust strategy before a session fails.

Standard agent

User Input

"I'm fine. Just send the result."

Default Response

"Here is the result."

Chaorda-aware agent

Pacing erratic

Corrections repeated

Confidence drop

Adaptive response strategy

"I'll keep this concise. The result is below, and I can show the assumptions or escalate to a specialist if this is time-sensitive."

Deployment

Infrastructure-grade SDK.

Integrate human state predictions into your existing agent stack with <50ms latency.

import { Chaorda } from "@chaorda/runtime";

const runtime = Chaorda.initialize({
  apiKey: process.env.CHAORDA_API_KEY,
  product: "support-agent",
  privacyMode: "edge-tokenized",
  adaptation: {
    emotionalStatePrediction: true,
    preferenceDrift: true,
    escalationThreshold: 0.74
  }
});

const policy = await runtime.predictHumanState({
  sessionId: "session_91d",
  userMessage: "I'm fine. Just send the result.",
  interactionSignals: {
    pacing: "erratic",
    textInflection: "compressed",
    correctionCount: 3
  }
});

agent.respond({ strategy: policy.responseStrategy });

Markets

High-stakes interactions.

From enterprise customer experience to digital health, Chaorda powers agents that need to understand how humans feel.

Enterprise customer experience

Help support agents detect frustration earlier, escalate at the right moment, and avoid cold transactional loops.

Digital health and adaptive coaching

Support sensitive interactions where pacing, uncertainty, encouragement, and handoff timing matter.

Interactive entertainment

Give companions and characters a runtime understanding of trust, engagement, hesitation, and session momentum.

Education and learning support

Adapt explanations when learners show confusion, overload, repeated corrections, or rising confidence.

Defensibility

The Data Flywheel.

Consented interaction data compounds across industries, creating a proprietary moat of state-prediction accuracy.

Enterprise deployments

Human-agent interaction data

Better state prediction

Adaptive runtime policies

Higher retention

More deployments

<50ms

target runtime decision latency

initial signal families

0 raw

biometric storage target

accessibility baseline