H
HachiAI
Agentic

eXperience

Where humans and agents collaborate. Multi-modal interfaces that adapt to intent.

Input Requirement
eXperience
eXchange
eXecution
eXact
Integrations
Executed Work

Interaction is the bottleneck.

Legacy systems force humans to speak the machine's language. eXperience flips the script.

Using grounding and multi-modal intent classification, we provide a unified surface where complex requests become executable actions.

Fast

Sub-second responses

Secure

Enterprise-grade

Adaptive

Auto-adjusting

Private

Your data stays yours

Core Component

AIMX

Prompt → Execution → Audit trail in one platform

Autonomous operation, human verification

Watch how AIMX handles a typical unstructured data request, transforming it into structured action with complete transparency.

aimx-runtime — zsh
➜ ~ apex agent start --workflow "invoice_processing"
[INFO] Initializing AIMX Kernel v2.1...
[SUCCESS] Connected to Data Source: Gmail API (readonly)
[THOUGHT] User requested invoice extraction. Found 3 unread emails with attachments.
[ACTION] ocr.extract(attachment_id="af32...")
[SUCCESS] Extracted Total: $4,200.00 | Vendor: Acme Corp
[HITL REQUIRED] Confidence score (0.88) below threshold (0.95). Routing to Human Supervisor Dashboard...
[APPROVED] User ID 402 approved action.
[ACTION] erp.create_bill(vendor="Acme", amount=4200)
[INFO] Workflow completed in 3.4s. Audit log #99231 saved.
📥

1. Ingest

Connect to data sources

🧠

2. Reason

Plan execution path

3. Act

Execute via tools

4. Verify

Human-in-the-loop

📋

5. Audit

Full compliance log

AIMX Architecture

The Challenge

  • Traditional RPA breaks when interfaces change.
  • Pure GenAI hallucinations lead to errors.
  • Most systems need users to speak their language.

Our Approach

  • AIMX provides a governed environment where AI can reason about changes, act using secure tools, and be fully audited.
  • Automate complex back-office operations with hybrid RPA + Agentic AI designed for enterprise scale.

What You See

  • Watch autonomous operation with human verification
  • See the 5-step execution flow (Ingest → Reason → Act → Verify → Audit)
  • Configure agents with simple dropdowns
  • Full audit logs for compliance

Impact

Bridge between rigid RPA and flexible Agentic AI
Enterprise-grade governance and auditability
MCP-native with RBAC and self-host capable

Core Capabilities

Intent Grounding

Verifies every human request against system constraints before execution.

Adaptive UI

Dynamically generates the best interface for the current task at hand.

Multimodal Support

Agents process text, documents, images, and voice inputs seamlessly.

Ready to upgrade your interface?