Jacobi Unveils AI Suite to Securely Build Custom Investment Tech

SAN FRANCISCO, CA – February 26, 2026 – Jacobi Strategies, a global leader in investment technology, today announced the launch of its AI-Assisted Coding Resources, a new suite of tools aimed at a persistent challenge in finance: how to rapidly build custom investment applications without compromising on enterprise-grade security and governance.

The new platform enables investment teams to develop, standardize, and scale bespoke analytics and applications within a secure, private environment. It arrives as financial institutions grapple with integrating powerful generative AI tools into their workflows while navigating a complex web of regulatory oversight and data privacy concerns.

Addressing the Security and Governance Imperative

The adoption of AI in finance is fraught with challenges. Regulators like the U.S. Securities and Exchange Commission (SEC) and the UK's Financial Conduct Authority (FCA) have made it clear that while they are not creating a separate rulebook for AI, they expect firms to apply existing, stringent standards for supervision, data privacy, and risk management. This puts immense pressure on firms to ensure that any AI implementation is fully compliant and auditable.

Jacobi's offering is architected to address these concerns head-on. The AI capabilities are delivered via an Infrastructure-as-a-Service (IaaS) model where each client receives a private, containerized instance. This architecture creates a secure perimeter, ensuring that a firm’s proprietary data, models, and intellectual property remain isolated and protected. This approach is critical for compliance with data privacy regulations like GDPR and CCPA, which mandate strict controls over personal and sensitive financial information.

"A significant gap remains between individual AI adoption and enterprise-level use, which requires heightened control over standards and security," said Tony Mackenzie, Co-Founder and CEO of Jacobi, in the announcement. He noted that Jacobi’s infrastructure is designed for firms moving beyond prototyping to the delivery of robust, production-grade AI solutions.

A Guided Toolkit for Custom AI Development

At the heart of the new suite are three core components designed to guide and accelerate development. These tools allow developers to use modern AI assistants like GitHub Copilot, Cursor, and Claude Code within the secure Jacobi environment, but with guardrails that enforce quality and consistency.

• Jacobi Rules acts as a centralized guide, providing global context to ensure that any AI-generated code adheres to the firm’s specific architectural standards, development patterns, and coding conventions. This helps prevent the proliferation of inconsistent or low-quality code that can plague rapid development cycles.

• Jacobi Skills provides procedural, multi-step instructions for common but complex tasks. This can range from creating new analytical plugins to querying internal data stores and implementing sophisticated financial models, effectively acting as a playbook for developers.

• The Jacobi Model Context Protocol Server functions as a secure, open-standard bridge. It allows third-party AI tools to safely interact with Jacobi's APIs, explore data schemas, and control platform actions using natural-language prompts. This controlled interaction is crucial for preventing data leakage and ensuring that AI assistants only access authorized information.

This structured approach aims to remove the trade-off between the flexibility of in-house development and the security of enterprise-grade systems, a long-standing dilemma for investment firms.

Navigating a Competitive AI-Powered Market

Jacobi's launch enters a competitive field where major players are also racing to integrate AI. BlackRock's Aladdin platform recently introduced its own 'Aladdin Copilot' to enhance user productivity, while FactSet has also launched an MCP server solution to allow secure interaction between AI tools and its data. The emergence of these similar technologies underscores a clear industry-wide trend toward secure, context-aware AI integration.

However, Jacobi aims to differentiate itself by combining its open-architecture, API-first philosophy with its private IaaS model. This gives clients not only the tools to build but also the foundational control over their environment and intellectual property. By allowing firms to seamlessly connect Jacobi-driven tools into their broader enterprise systems, the platform promotes flexibility rather than locking clients into a single, monolithic ecosystem.

Reshaping Workflows for the Modern Investment Team

The ultimate goal of these tools is to transform the daily operations of investment professionals. For quantitative analysts, or 'quants', the platform can automate routine data processing and model generation, freeing them to act as 'AI shepherds' who design systems, validate outputs, and focus on higher-level strategic thinking. The ability to rapidly prototype and deploy complex models can significantly shorten the path from idea to implementation.

Portfolio managers stand to benefit from more dynamic and customized analytics. Instead of relying on generic, one-size-fits-all reports, they can use bespoke applications to analyze portfolios according to their unique strategies and real-time market conditions. This is further augmented by the launch of new, integrated Jacobi AI agents designed to execute complex, multi-step workflows where precision is mandatory.

As CEO Tony Mackenzie stated, "Our AI-assisted coding resources are not designed to replace investment expertise, but to empower it." This sentiment reflects a broader industry shift, where AI is increasingly viewed not as a replacement for human talent but as a powerful collaborator that can augment expertise, accelerate innovation, and unlock new sources of value in the competitive world of investment management.