LACE OS

LACE OS

LACE OS is the first Agentic AI operating system designed specifically to modernize enterprise data platforms into modern data analytics platforms with AI governance.

LACE OS provides a single platform to govern and orchestrate AI agents, ensuring full control and human validation at every step. Specialized agents cover existing technologies such as SAS, Oracle, SAP BW, and Hadoop, operating within a customizable Knowledge Base aligned with your rules and standards.

Without orchestration, large-scale AI programs quickly become chaotic — agents duplicate work, generate unreliable outputs, and ignore critical business logic.

LACE OS addresses this coordination challenge, ensuring consistency, trust, and successful AI-driven transformation at scale.

The Hidden Cost of Technical Debt

Organizations with legacy data architectures spend 10–20% of budgets fixing foundations, with over half of effort going to maintenance instead of innovation.

Legacy as a Business-Scaling Blocker

Every new use case forces engineers to start from scratch—locating data, decoding logic, and rebuilding pipelines. Slow, costly, and manual.

“Your data foundation is either accelerating your business or holding it back. LACE OS gives your organization the tools to finally move forward, with AI doing the heavy lifting and your team staying in control.”
Luis Marques Luis Marques Global Head of Data
DIFFERENTIATING VALUE

Results That Matter

A Single Governance Interface One platform to govern, orchestrate, and operate all AI agents — while keeping the human at the center of every decision. No black boxes. No uncontrolled automation.

Technology-Specific Agents A family of specialized agents built for the technologies your organization actually runs — SAS, Oracle, SAP BW, Hadoop, and more — addressing both legacy source platforms and modern target architectures.

Human-in-the-Loop by Design Every agent output can be reviewed, validated, and approved by your team before it feeds downstream processes. Verified outputs are promoted directly into the Knowledge Base for other agents to build upon.

An Intelligent, Customizable Knowledge Base LACE OS maintains an extensive, modernization-ready Knowledge Base that allows agents to operate in a predictable, consistent way — aligned with your organization's specific rules, naming conventions, and architecture standards.

Full Agent Customization Prompt templates and agent behaviors can be adjusted on the fly, allowing teams to tailor the modernization approach to each client's unique context and requirements.

Model Flexibility & Data Residency Control Choose your preferred AI model and configure execution parameters according to your organization's data residency and compliance requirements.

faster on legacy code analysis vs human work
 
faster on legacy code analysis vs human work
accuracy on designing data models
 
accuracy on designing data models
time savings of extracting business logic and reference data
 
time savings of extracting business logic and reference data
of automatic data pipelines generation
 
of automatic data pipelines generation
HOW WE MODERNIZE

Our Approach

LACE OS operates across five connected stages, transforming legacy estates into modern, governed analytics platforms:
Understanding Legacy — Deep Discovery & Analysis

Understanding Legacy — Deep Discovery & Analysis

LACE agents map existing systems, repositories, and complex dependencies, creating a comprehensive knowledge base of the legacy landscape automatically.
Design Data Models — Target-State Modeling

Design Data Models — Target-State Modeling

Agents build optimized, scalable target data models based on modern standards including Data Lakehouse, Data Vault, and Star Schema architectures.
Extract Business Logic — Automated Logic Capture

Extract Business Logic — Automated Logic Capture

LACE reverse-engineers and documents the embedded rules, calculations, and flows buried inside legacy code and applications — knowledge that often exists nowhere else.
Generate Data Pipelines — Intelligent Pipeline Generation

Generate Data Pipelines — Intelligent Pipeline Generation

Agents create and deploy robust, automated ETL/ELT pipelines, enabling parallel data movement and transformation at scale.
Integrate with Frameworks — Establish with Frameworks

Integrate with Frameworks — Establish with Frameworks

The final stage implements robust data governance, ensures high data quality, and adopts automated DataOps practices for sustainable long-term operations.
Real Results & Impact

Novobanco

Novobanco needed to modernize its data and application landscape to support faster decision-making, improve operational efficiency, and enable new digital use cases. However, legacy systems,…

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