The multi-asset investment analytics platform trusted by institutions managing over $7 trillion in assets. Built by people who used to live the problem.
There are 14 open browser tabs. Three spreadsheets pulling from two data vendors that don't quite agree with each other. A risk report requested by the investment committee, due by 9am, which requires pulling numbers from four different systems and reformatting them into a template that was last updated in 2019.
By the time the manager has assembled the actual picture of the portfolio, it's 8:47am. Thirteen minutes to review, interpret, and present. This is the problem Jacobi exists to solve.
Founded in San Francisco in 2014 by three people who had actually lived this problem at scale, Jacobi builds cloud-based portfolio design, analytics, and client engagement software for institutional investors. It is not a simpler spreadsheet. It is not a dashboard with better fonts. It is infrastructure for investment decision-making, purpose-built for the organizations managing hundreds of billions or trillions in assets.
Jacobi — 44 Montgomery St, San Francisco · Global cloud infrastructure · 140+ staff across multiple offices
"We built Jacobi because we lived the problem - spending more time wrestling with data and tools than actually making investment decisions."Tony Mackenzie, Co-Founder & CEO
Institutional investment management has a peculiar paradox. The firms managing the world's largest pools of capital - pension funds, sovereign wealth funds, global asset managers - employ some of the most sophisticated quantitative minds in the world. They understand variance-covariance matrices, factor decompositions, and tail-risk scenarios. What they're bad at is getting their data into a single place before close of business.
The average large asset manager operates across dozens of asset classes, uses multiple custodians, integrates with several risk systems, and serves clients requiring bespoke reporting. The workflows connecting these systems were largely built for a world that no longer exists: siloed, on-premise, manual at the margins.
The investment decision takes minutes. The data preparation to support it takes hours. In a world where market conditions change by the minute, that gap is not a minor inconvenience - it is a structural risk.
Most software vendors in this space respond to this problem by building better reports. Jacobi's answer was to go one layer deeper: fix the data first, then make everything else - analytics, scenario testing, client reporting, model portfolio management - a natural consequence of having a unified, live data layer.
That architectural choice, more than any feature list, is what separates Jacobi from the field.
PhD in computational mathematics. Previously Chief Strategist at QIC where he managed over $45 billion in assets. Knows exactly which pain points matter because he spent years fighting them.
20+ years building financial software at firms including Misys and Betfair. Heads engineering. The technical architecture of Jacobi reflects his belief that investment technology should be open, not a black box.
Former senior roles at Commonwealth Bank of Australia. Leads revenue and growth. Named Waters Technology Woman of the Year 2025 - a recognition that says as much about her impact on the broader industry as it does about Jacobi.
The three co-founders share a background that the product itself reflects: deep domain expertise in institutional investment, real experience with enterprise software at scale, and zero patience for the way things have always been done. That combination is not as common as it sounds.
Jacobi is not one product. It is a platform with a Data Engine at the center and a suite of applications built on top of it. The important word is "open" - unlike legacy systems that require you to work within their model of the world, Jacobi allows firms to integrate their own proprietary models, custom data schemas, and existing workflows through APIs. If your investment process involves something Jacobi didn't anticipate, you can build it in.
Unifies and automates investment data with AI-ready analytics. Eliminates the manual data wrangling that consumes investment teams.
Design and optimize multi-asset portfolios with scenario analysis, risk attribution, and ex-ante and ex-post analytics.
Automate investment reporting and client-facing proposals. What used to take days now takes hours.
Stress test portfolios against custom scenarios. Model how allocations perform when things go wrong in specific ways.
End-to-end management of model portfolios at scale - with governance controls, compliance tracking, and automated workflows.
Open architecture lets firms integrate proprietary models and third-party data sources. No vendor lock-in on the investment process.
"Jacobi's open architecture means we're not locked into one vendor's model of the world - we can integrate our own IP and workflows."Client feedback — Jacobi press materials
The platform supports ex-ante analytics (what might happen) and ex-post analytics (what did happen), which means it spans the full investment lifecycle from construction to reporting. For firms managing multi-asset portfolios - which includes everything from equity allocations to private markets to infrastructure - that end-to-end coverage matters. A lot.
The clients who use Jacobi do not typically shout about their technology vendors. T. Rowe Price, LGIM, MFS, Principal, WTW, FE Investments - these are firms measured in trillions, not millions. They don't change their core analytical infrastructure for marketing reasons. They change it when the operational evidence becomes impossible to ignore.
Series A led by Queensland Investment Corporation (QIC), Sept 2022. Total investors include 8VC, WTI, Main Post Partners, CE Innovation Capital.
The partnerships reinforce the point. Jacobi integrates with Charles River - one of the most widely deployed order management systems in institutional investment. It connects with Axioma's risk models and uses Databricks as its data infrastructure backbone. These are not partnerships of convenience. They are the hallmarks of a platform that serious firms are willing to build around.
Institutional investment management is changing in three ways simultaneously: asset classes are multiplying (private markets, infrastructure, alternatives now sit alongside traditional equity and fixed income), client reporting expectations are rising (end investors want transparency on cost, risk, and ESG), and the talent willing to maintain legacy systems is retiring.
Each of these trends creates demand for exactly what Jacobi built: a cloud-native, API-first platform that can model complex multi-asset portfolios, adapt to any data schema, and generate sophisticated client-facing output without an army of analysts stitching spreadsheets together at midnight.
The competitive set - Bloomberg PORT, FactSet Analytics, Aladdin by BlackRock - are formidable, well-resourced, and deeply embedded at large institutions. Jacobi's advantage is not head-to-head feature parity. It is architectural flexibility and speed of iteration. The open-architecture approach, the willingness to integrate proprietary client models rather than replace them, and the focus on workflow automation rather than just analytics display - these are not easy to replicate quickly.
The $7 trillion AUM figure is notable not just for its scale, but for what it implies: these are clients who had options and chose Jacobi anyway.
"Jacobi's platform serves clients overseeing more than $7 trillion in assets - roughly the GDP of Germany and Japan combined."Scale in context — Jacobi research overview
The name, incidentally, is a reference. Carl Gustav Jacob Jacobi was a 19th-century mathematician celebrated for his work in elliptic functions and matrix theory. If you are building precision tooling for people who think in matrices and multi-factor models, there are worse names to carry.
On Jacobi, the risk report requested by the investment committee is not assembled from 14 browser tabs. The data is unified, the model is already built, and the scenario analysis runs automatically. By 6:45am, the manager is reviewing insights - not reformatting cells.
That sounds incremental. It is not. The cumulative cost of the old way - in delayed decisions, in errors, in analytical talent spent on plumbing - is enormous. Investment teams exist to make judgments about capital allocation, not to fight their own infrastructure. Jacobi's bet is that the firms who understand this distinction, and act on it, will have a structural advantage over those who don't.
The 9am investment committee meeting still happens. But now the portfolio manager walks in having actually thought about the portfolio - not just survived the process of preparing to discuss it.
That is a more modest claim than most enterprise software companies make. It is also, for the people who live it every day, a genuinely significant one.
Official channels, news, and product information.