AI Production Infrastructure
The secure production engine for multi-asset managers – converting proprietary investment tools from AI prototype to production-grade, governed workflows.
AI helps solve the prototyping problem: but not the production problem
Investment teams are building genuinely powerful workflows faster than at any point in the industry’s history. The signal is real, the methodology is sound, and the prototype works. The obstacle that follows is where most AI initiatives stall.
Moving a proprietary workflow from a development environment into institutional production requires full auditability, multi-user access, regulatory defensibility, and a governed data layer. In investment management these are not procedural formalities. They are the conditions under which any AI capability moves beyond a proof of concept and into a workflow the firm can rely on, explain, and defend.
AI Production Infrastructure
Jacobi’s Enterprise-grade production infrastructure is the engine to securely host, run and manage proprietary tools and applications.
The Jacobi AI Production Infrastructure provides the governed, scalable, auditable environment that converts AI-assisted investment workflows from experimental to institutional.
Private deployments give each firm a dedicated environment. Environment management handles version control, rollback, and access governance. API governance provides the audit trail that compliance requires. Data storage is structured around Jacobi’s investment entity model not a generic schema you re-map every time a workflow changes.
You focus on investment strategy. Jacobi manages the operational layer. When your team builds on the AI Workbench, the path to production is already built. When Forward Deployed Engineers embed for a build sprint, this is the environment they deploy into.
Features & Capabilities
Key features of Jacobi’s AI Production Infrastructure
Private Deployments
Cloud-based, secure private deployments, with jurisdiction and hosting flexibility. Your data, your models, your environment – not shared with others.
API Governance
Structured API layer with authentication, no rate limiting, and complete call logging. Every input and output is recorded and attributable.
Investment Entity Data Model (Ontology)
Data storage structured around Jacobi’s investment-specific entity model. No re-mapping to generic schemas when your data model changes.
Environment Management
Development, staging, and production environments with full version control. Roll back any workflow to any prior state in one action.
Full Audit Trail
End-to-end audit trail for every calculation and workflow execution. Meets the documentation requirements of institutional compliance and regulatory review.
Scalable Compute
Infrastructure scales with your usage and is constantly monitored for performance. No delays when a new workflow moves from the Workbench to production.
Case Study
From prototype to production in 11 weeks
A global multi-asset investment manager had built a proprietary Asset and Liability Modeling tool for their public and private assets liquidity management. It ran on a quant’s laptop. It couldn’t be shared, audited, or connected to the live portfolio construction process.
Using Jacobi’s Production Infrastructure alongside the AI Workbench and with the support of Jacobi’s Forward Deployed Engineering, the model moved to production in 11 weeks with a full audit trail, multi-user access, and direct integration to the live portfolio construction workflow. Estimated cost versus a custom in-house build: 60% lower.
Our Clients Include
