How It Works

From governed knowledge to real-time, multi-channel AI experiences.

Runtime loop
Knowledge ops
AI flows & pipelines
Platform
Trust

Runtime loop

A predictable interaction cycle that stays fast, grounded, and consistently on brand.

Detect Listen Retrieve Decide Generate Speak Animate Act Escalate Learn

Signal path for every interaction. Each stage is observable and governed.

Detect & greet

Channel-aware entry that tailors the first response to the moment.

Proactive triggers for kiosk, web, and call center
Language detection plus greeting templates
Configurable prompts and entry rules in the platform

Listen & understand

Streaming speech and text intake with optional vision.

Real-time transcription for fast routing
Web Speech and telephony audio input
Context capture for downstream retrieval

Emotion recognition from voice, video, and text

Sense emotion & respond

Real-time emotional cues help the assistant stay empathetic, calm, and on-brand.

Emotion recognition from voice, video, and text in real time
Stabilized emotion state with confidence scoring (avoids "jittery" reactions)
Drives tone, pacing, escalation triggers, and avatar facial expressions

Interrupt & recover

True barge-in with playback cancel and late chunk suppression.

Stop playback immediately on new intent
Cancel active run and ignore late audio
Resume in context without re-asking

Retrieve & ground

Hybrid retrieval keeps answers anchored to approved knowledge.

Vector and keyword search with reranking
Multilingual embeddings for consistent coverage
Source-aware responses for safer answers

HoloBrain

Realtime agent orcestrator

Channel-specific rules and tool gating
Multi-agent quick response while tools run
Escalation policies when confidence is low
Smart data managment from api's and vector databases
Realtime agent, flow and tool caling

3D avatars & facial animation

HDRP + advanced face rig for production-grade 3D avatars for live dialogue.

Audio-driven, language-independent lip sync
60+ blend shapes with emotion and eye motion
Photoreal materials for skin, eyes, and hair

Act & guide

On-screen actions and workflows move the task forward.

UI cards, forms, and webviews triggered by flows
Tool execution with status updates
Unified behavior across pipelines

Escalate & learn

Human handoff with full context and analytics feedback.

Transcript and metadata passed to operators
Outcome logging for continuous improvement
Per-client reporting and health checks

Knowledge ops

From raw content to optimized, governed knowledge that shortens time to value and boosts answer quality.

FastAPI intake

Unified knowledge intake

One gateway for every format, so onboarding is faster and governance stays tight.

Q and A, PDFs, HTML, and media in a single schema
Auto-validation and dedupe to keep the corpus clean
Agent and channel tags for brand-safe routing

PDF input

OCR result

OCR pipeline

OCR to structured knowledge

Scanned PDFs become searchable, cited knowledge so nothing stays trapped in images.

Detect and pull PDFs from sitemaps or folders
OCR to clean Markdown with headings and tables
Source URLs and timestamps for auditability

Q and A generation

Q and A at scale

Generate consistent, on-brand answers in hours instead of weeks.

LLM-assisted Q and A from document chunks
Coverage for common questions and edge cases
Reviewable JSON output for rapid QA

Synthetic data

Synthetic data enrichment

Fill gaps and stress-test the assistant before real customers do.

Simulate long-tail intents and rare scenarios
Balance training data across topics
Boost routing accuracy and fallback confidence

LLM optimization

LLM knowledge optimization

Transform raw content into concise, reliable knowledge that models can trust.

Normalize terminology and remove duplicates
Summaries, keywords, and topic anchors for retrieval
Tone alignment per client and channel

Retrieval tuning

Retrieval optimization

Higher precision, lower latency, and fewer hallucinations at scale.

Hybrid search tuning with reranking
Multilingual embeddings aligned across sources
Relevance metrics to tune and prove ROI

Automatic knowledge agents generation output

Agent generation

Automatic agent generation

Specialist agents built from your knowledge for faster, safer handoffs.

Cluster domain knowledge into dedicated agents
Auto-built prompts, keywords, and handoff rules
Scale to new business units without rework

AI flows & pipelines

A single real-time pipeline from capture to handoff powers kiosk, web, voice, 3D, and robotics.

Capture and validation

Turn voice or UI events into a clean, governed request in real time.

Streaming STT for kiosk, web, and SIP
Language detection plus session metadata (channel, locale, device)
Optional presence signals for greeting and input checks

Configurable via: realtime-v1 user_turn inputHints (modality, locale) + variables node (session metadata)

Knowledge ingestion & DataAPI retrieval

Keep answers grounded in approved content and live data sources.

Ingest docs, FAQs, and media into vector indexes with agent tags
Retrieve context with embeddings and structured search, then rank and inject only the best snippets
DataAPI tools add live sources with schema-validated calls and domain prompt injection

Configurable via: document loaders/splitters, vector store + embedding + record manager config, DataAPI tool registry (DataApiCallable) + APIPrompt.md

Orchestrator (policy-aware)

Decide what happens next under guardrails.

Build the response envelope with persona, policies, channel rules, and summaries
Route to the best model or provider for latency vs quality
Choose answer, tool call, Flowise flow, or specialist agent

Configurable via: realtime-v1 agent node (system_prompt, policies, guardrails, memory, variableRefs)

AgentFlow and tool selection

When work needs steps, move from chat to structured execution.

Flow selection uses titles, descriptions, and required schemas
Tool registry and allowlists restrict actions
Specialist agents handle deep data collection while the main AI stays in control

Configurable via: agent.tools (name/kind/config/safety) + Flowise flow JSON + exec schemas

Execution and integrations

Turn decisions into outcomes across systems and on-screen experiences.

Call APIs and connectors (CRM, booking, internal systems)
Trigger runtime commands like panels, QR, forms, or media capture
Log actions per turn for audit and replay

Configurable via: action schemas + tool credentials (headers, keys)

Streaming delivery and handoff

Respond immediately, stream naturally, and escalate without losing context.

Partial response streaming for low-latency feedback
TTS streaming with interruption and per-turn voice locking
Channel adapters for kiosk, web, render streaming, robotics, and SIP with human handoff context

Configurable via: agent voice/persona hints + TTS settings + realtime-v1 export