QuantumStreet AI
QuantumStreet AI sells AI driven investment strategies and research to asset allocators, investment managers and banks. Clients either license its AI enhanced indexes and portfolios or add its forecasts to their own process.
Through Indices and Custom Portfolios, it designs indexes and portfolios that clients build products on. The QuantumEdge platform lays forecasts, signals and plain language explanations, each with a confidence score, over a client's own research, and is also available through APIs and SDKs.
QuantumStreet AI states more than $8 billion in client designed indexes and portfolios. It runs on IBM watsonx as an IBM partner, and IBM describes it as the institutional division of EquBot. It is based in San Francisco.
Capability Axes
Capability grades
15 of 15 axes rated · 5 graded A or B
Deep learning models weighing hundreds of signals across about 50,000 securities generate its index and portfolio methodologies themselves. With the models being the methodology, nothing would survive their removal.
Models reweight signals continuously and the platform automates strategy design and testing, putting model output where a methodology is created. An approval gate or methodology sign off before a machine designed strategy becomes a live index is not described, though published index rules are fixed once live.
Each one and three month forecast carries a measurable confidence score and each data source a trust score, and clients can backtest a tailored index before launch. A July 2026 release states that 98 percent of its index strategy assets beat their benchmarks in the first half of 2026 and the remaining 2 percent matched them. The figure is weighted by assets, names no benchmark and does not say whether any strategy was closed or left out, so it cannot be checked strategy by strategy.
More than $8 billion is stated as deployed across client indexes and portfolios, against more than 5 billion in IBM's April 2024 case study, so any citation needs its date. Large financial institutions are said to trust it, with none named.
Where a group entity invests with related models in the same markets, separation from the signals and indices licensees receive matters, and none is described. Sequencing of known index rebalances and walling off of client portfolio data are also left open.
Market, fundamental and news data carry little personal information, but a client building portfolios on the platform passes its holdings and intended positioning through the vendor. The privacy policy covers the website and newsletter, and client portfolio data handling, segregation and retention are not addressed.
Fiduciary grade explainability is described where security controls would be, and no attestation, certification or trust center is published. IBM's infrastructure assurance belongs to the platform provider, not the vendor.
IBM's April 2024 case study calls QuantumStreet the institutional division of EquBot, while QuantumStreet's own site mentions neither EquBot nor any registration. Which entity signs an index license, and how performance presentation and benchmark rules are met, is not stated.
Thematic indices rely on generative AI to decide which companies belong to a theme, steering institutional capital toward some issuers and away from others. Governance of that taxonomy, review of disputed inclusions and issuer recourse are unpublished.
A published index methodology is fixed and checkable, which lets a client challenge a result. Restatement or correction for a miscalculated index is not committed to, and any fiduciary duty in the group attaches to an adviser relationship rather than an index license.
Underneath sits IBM watsonx, and IBM's case study records Watson Discovery and Watson Studio in use before the move to watsonx.ai. Market, news and alternative data suppliers, half the chain for a signal product, are unnamed.
Programmatic interfaces, client libraries and SDKs deliver forecasts behind an access request, with documentation kept private. Order management, portfolio management and index calculation systems are not named as connections.
Software as a service supported in the United States is how IBM's partner directory lists delivery, and the company's own pages give no hosting provider, region or residency commitment. A European or Asian institution feeding in its own portfolio data has no stated location for it.
Licensing fee basis, platform subscription price and API rates are unpublished, with access by demo or request. Index fees are conventionally struck on linked assets, which makes the basis of charge the question that sets total cost.
Asset allocators, investment managers and banks are addressed through two consumption models: a licensed or custom index built with the team, or forecasts and signals overlaid on a client's own process. Material behind each segment is partial.
Compared With
Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.
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The index publishes no overall score or ranking. See what we assess and the methodology.
Pricing
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