Official MVP Demo Live

From Weeks to Hours.
The AI Onboarding Layer
for Fleet Digital Twins.

Transform messy, heterogeneous client fleet data into structured, import-ready assets. Automate schema mapping, validate data quality, and scale LogTech deployments with zero manual friction.

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Wayval Onboarding AI

Platform Architecture

The 6-Step AI Onboarding Workflow

Designed specifically for platforms like Aleet (Aseem/Route2), Wayval replaces manual data engineering with a strictly ordered, intelligent pipeline.

1

Raw Data Ingestion

The workflow begins with securely uploading messy, fragmented fleet data. Wayval's Data Processing Layer effortlessly handles heterogeneous formats (CSV, Excel, JSON exports from ERPs or telematics) without requiring manual pre-formatting.

Raw Data Ingestion
2

Quality Validation & Auto-Fix

The system automatically parses the dataset and generates a clear Data Quality Report. It instantly distinguishes critical errors from minor warnings, while the AI Auto-Fix feature normalizes formats and resolves basic inconsistencies on the fly.

Quality Validation Report
3

Interactive AI Onboarding Agent

Embracing a strict Human-in-the-Loop approach, our intelligent chat agent steps in when data is missing or ambiguous. It asks targeted follow-up questions to clarify business rules, default values, and exceptions before mapping.

Interactive AI Agent
4

Semantic AI Mapping Preview

Powered by domain-specific LLMs, the system natively understands logistics entities. It automatically proposes field mappings to the target Aleet schema, displaying clear Confidence Scores to allow transparent user validation.

Semantic Mapping UI
5

Live Integration & Configuration

Upon approval, Wayval compiles a Versioned Client Configuration blueprint containing all mapping logic. The structured data is then automatically synced and uploaded directly into the Aleet digital twin systems (Aseem).

Live System Integration
6

Import-Ready Output

The final output is an error-free, standardized dataset fully aligned with your digital twin pipeline. The stored configuration blueprint ensures future data imports from the same client are rapid, repeatable, and completely auditable.

Import-Ready Output

The Wayval Unfair Advantage

Why generic data preparation tools fail in complex logistics environments.

End-to-End Semantic Intelligence

Unlike generic tools that lack semantic understanding, Wayval natively understands logistics data to accurately standardize formats regardless of source naming conventions.

Human-in-the-Loop Reliability

We prioritize explainability and full control over AI-assisted decisions. The Interactive Agent ensures that no critical business rule is assumed incorrectly.

Versioned Configuration Engine

We create a reusable configuration for every client, guaranteeing consistent and fully auditable data imports moving forward without repeated manual effort.

Dramatically Reduced Time-to-Value

Solve the critical "Data Onboarding Bottleneck" by reducing digital twin deployment time from days or weeks to mere hours, significantly lowering operational costs.

Stop wasting engineering hours
on manual schema mapping.

Experience the Wayval Onboarding AI workflow for yourself.

Launch Interactive MVP