General Learning Intelligence:
AI that evolves. And belongs to you.

Building superintelligence from first principles.

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Boltzbit Research Lab

AGI 2.0: General Learning Intelligence for everyone.

Artificial General Intelligence should elevate humanity—not centralize it. A future defined by a single dominant AI risks restricting creativity and ownership.

We’re building General Learning Intelligence (GLI): AI that you own, train, and control. It learns from your data, adapts to your needs, and grows with you.

This is AGI 2.0.

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Research
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A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization

This paper presents a gradient-based framework for hyperparameter optimisation in Hamiltonian Monte Carlo, directly maximising convergence speed by optimising the expected log-target under the chain’s final state.

October 10, 2025
Research
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Quasi-Newton Methods for Markov Chain Monte Carlo

A Novel MCMC sampler makes use of quasi-Newton approximations from the optimization literature, that approximate the Hessian of the target distribution from previous samples and gradients generated by the sampler.

10/10/23
Research
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Continuous Relaxations for Discrete Hamiltonian Monte Carlo

This article discusses the recent advancements in transformation of Boltzmann machines for gradient-based Hamiltonian MonteCarlo inference.

11/1/22
Research
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Latest News
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The vendor trap: Why European AI investments aren’t owned by the companies that built them

European enterprise tech leaders who've deployed AI are building on borrowed ground. One acquisition or terms change by their model provider, and it's all gone overnight. The fix is model ownership.

4/29/26
general blog
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Under the hood: The Glimpse–Boltzbit partnership

Boltzbit and Glimpse recently announced a multi-phase AI integration. This conversation provides an overview of the collaboration, the integration approach, and its practical implications.

2/4/26
general blog
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A-TEAM INSIGHT: Glimpse Markets Partners with Boltzbit to Embed Live-learning AI into Fixed Income Workflows

The multi-phase integration focuses on augmenting human decision-making through real-time, explainable insight generation and continuous model learning, while maintaining strict data governance and buy-side control.

1/29/26
general blog
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Glimpse Markets partners with Boltzbit on multi-phase AI integration

Partnership will bring custom data visualisation agents, insights generation and predictive analytics to Glimpse’s bond data sharing platform.

1/27/26
general blog
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The Boltzbit end-of-year reading list 2025

With the year drawing to a close, we asked the team to share one book they’d recommend heading into 2026. The result is a reading list that’s thoughtful, diverse, and unmistakably Boltzbit. Here’s what made the cut.

12/15/25
general blog
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THE TRADE: What AI in in financial services will look like in 2026

In this opinion piece for The TRADE, Dr. Yichuan Zhang examines how the rise of AI is reshaping financial markets and looks ahead to 2026 and beyond.

12/11/25
general blog
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What customers say

"We’ve always been big proponents of interoperability and integrated solutions to bring true efficiency to bond primary markets. Our partnership with Boltzbit is a reflection of that strategy. Rather than rely on traditional Management Information reports, Boltzbit delivered a solution which allows us to interrogate the data via natural language queries, supported by dynamic reports."

Mark Russell
Head of Fixed Income Strategy,
TP ICAP

“We founded New Issue IQ to make the primary markets more efficient, so investors can capture opportunities they'd otherwise miss. Boltzbit's technology lets us structure deal data the moment it's announced, turning primary market chaos into something clients can actually use. This capability enhances the experience for our corporate bond clients today and positions us to transform new issue workflows across loans and other asset classes that still rely on outdated systems.”

John Tokarowski
Founder & CEO
New Issue IQ

"Quod’s vision is to provide an architecture where intelligence is modular, interoperable, and easy to adopt. Clients want flexibility, be it the ability to use Quod’s native AI tools or integrate complementary technologies like Boltzbit."

Medan Gabbay
Co-CEO
QUOD Financial

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