Intelligent Data Ingestion & Simulation

AI-powered structuring and scenario tools for engineering-scale datasets.

Marklytics automates the transformation of raw engineering data into structured, analysis-ready formats. With AI-driven ingestion pipelines and simulation-ready data workflows, teams can test assumptions, run scenario analyses, and make faster product and compliance decisions—all from a single, trusted source of engineering truth.

From Raw Data to Simulation-Ready

Transform unstructured data into actionable scenarios using AI and automation.

1

AI-Driven Data Structuring

Automate messy engineering inputs

Leverage AI to classify, clean, and standardize large volumes of raw test and sensor data. Marklytics extracts metadata, aligns formats, and removes inconsistencies—creating structured datasets ready for simulation, modeling, and reporting. This eliminates manual overhead and accelerates data usability across engineering workflows.

2

Seamless Ingestion Pipelines

Connect systems and data sources

Automate data ingestion from test benches, simulation tools, PLM systems, and cloud platforms. Our platform supports diverse data types—from time-series to tabular—and integrates with engineering databases. Ingestion pipelines handle versioning, validation, and enrichment to maintain traceability and trust across the product lifecycle.

3

AI-Enabled Scenario Simulation

Model and test what-if outcomes

Run simulations using structured datasets to explore what-if scenarios across performance, emissions, or compliance outcomes. Our AI models help teams forecast design impact, evaluate risk trade-offs, and iterate on system decisions—enabling smarter choices before physical testing begins.

Why Choose Marklytics

Empowering the Future of Sustainable Mobility

Marklytics delivers next-generation platforms that simplify ESG reporting, enhance traceability, and future-proof regulatory compliance.

Our blockchain-secured systems, data-driven insights, and simulation engines empower OEMs, suppliers, and regulators to act with transparency, precision, and confidence — building a smarter, more sustainable mobility ecosystem.