Enterprise AI products, the Matrix OS foundation and forward-deployed engineers: MatrixLabs takes AI from data and agents to reliable production.
01# matrix os · production system02apiVersion: matrix.os/v103kind: ProductionSystem04context:05 source: matrixcore06 permissions: inherit # from source system07agents:08 - matrixagents/retrieval09 - matrixagents/reasoning10 - matrixagents/human-review11guardrails:12 evals: matrixguard/scenario-suite13 audit: full-trace14runtime:15 target: air-gapped16 observability: matrixops
Model capability is no longer the bottleneck. The gap sits in the second half — turning a working prototype into a production system the business depends on daily, one that can be audited and operated.
A translation layer is missing between business language and model capability. What a pilot demonstrates is often not what the business actually relies on each day.
Data sits across dozens of systems. Permission inheritance, lineage and compliance requirements stall most teams at the integration stage.
Evaluation, guardrails, monitoring and iteration are a standing engineering responsibility, not a one-off delivery.
In finance, healthcare and critical infrastructure, what blocks AI from reaching production is rarely model quality — it is that the data is not allowed to leave the perimeter. Matrix OS starts from the opposite premise: the model travels to the data, not the data to the model.
VPC or fully offline deployment — models and data can run entirely inside your perimeter.
Encrypted in transit and at rest, with keys managed by you (BYOK).
Field-level permissions inherited from source systems; every access is traceable.
Every inference and every tool call leaves a record, supporting internal and external audits.
You do not need to understand every product first. Choose the goal closest to yours and we will guide you to the right product, solution, or delivery path.
Unify data, models, access, and operations into a reusable foundation for multiple AI use cases.
Explore Matrix OS →START / AGENTS02Orchestrate reasoning, tool calls, and human review into versioned, auditable business workflows.
Explore agent products →START / SOLUTIONS03Start with proven use cases in financial services, manufacturing, healthcare, and more, using product stacks to deliver measurable outcomes.
Browse solutions →START / DELIVERY04Forward deployed engineers embed in your business and own selection, integration, evaluation, launch, and transfer.
Explore FDE delivery →Understand the shared foundation across enterprise data, agent orchestration, governance, and operations—then explore industry products and developer tools in the product center.
The same foundational products form different production solutions based on the business process, data boundary, and risk requirements.
MatrixCore parses the data room, MatrixAgents orchestrates clause extraction and review, MatrixGuard runs evals and audit, and the FDE pod completes integration with existing systems.
MatrixConnect integrates MES and imaging equipment, MatrixCore captures process knowledge, MatrixAgents orchestrates defect handling, and MatrixOps monitors production operations.
Forward deployed engineers are not outside advisers. They are the delivery layer that shares responsibility for the outcome with the customer.
Define the use case, business value, data feasibility, and success metrics.
FDEs join the customer team to understand processes, systems, and how work actually happens.
Select MatrixLabs products and build the business capabilities the use case requires.
Complete evaluation, system integration, safety guardrails, and production deployment.
Transfer code, documentation, evaluation sets, and the operating playbook.
Tell us about your most important business scenario — and see a prototype running on real data within two weeks.