London, 03 December 2025 — Quod Financial, a leading innovator in multi-asset trading technology, today announced a new integration partnership with Boltzbit, a deeptech AI company pioneering instant-learning large language models. The collaboration expands Quod’s growing AI ecosystem. Moreover, it demonstrates how its open, modular architecture enables financial institutions to adopt advanced AI capabilities seamlessly and securely.
Quod Financial’s Unity architecture provides a flexible, normalized, real-time data and integration layer that serves as the foundation for AI-enhanced trading workflows. By incorporating Boltzbit’s intelligence layer into this environment, clients gain new ways to automate analysis, generate insights via natural-language. In addition, they benefit from more informed, data-driven decision-making while maintaining strong data governance and operational performance.
Broadening AI Capabilities Through a Collaborative Architecture
Quod Financial has long invested in AI to enhance automation, routing intelligence, and trader decision support. Unity consolidates these native capabilities into a unified data structure. Furthermore, partnerships like Boltzbit allow clients to extend this foundation with additional, complementary AI models.
The integration with Boltzbit reinforces this approach. Boltzbit’s custom large language models (LLMs) can be deployed directly within Unity’s normalized data layer. Consequently, clients gain access to advanced big data reasoning models that complement Quod’s machine-learning and automation tools.
The result is a flexible, AI-ready environment in which institutions can:
- introduce natural-language interfaces for trading and market data
- automate reporting, analytics, and pre-trade intelligence
- run private, domain-specific models securely on-premise
- accelerate innovation without needing to re-engineer existing systems
This partnership approach ensures that can adopt AI technologies that suit their needs. At the same time, they preserve full ownership of their workflows, logic, and intellectual property.
“Quod’s vision is to provide an architecture where intelligence is modular, interoperable, and easy to adopt,” said Medan Gabbay, Co-CEO of Quod Financial. “Clients want flexibility, be it the ability to use Quod’s native AI tools or integrate complementary technologies like Boltzbit.”
“Our mission is to democratize private LLMs across all verticals, starting with the financial industry. Partnering with a global technology firm like Quod Financial which has been supporting traders across regions for nearly two decades supports this ambition,” commented Ivan Mihov, CRO at Boltzbit. “By combining Boltzbit’s instant-learning technology with Quod’s open architecture, we’re bringing powerful next-generation AI into front offices. Therefore, these tools can be deployed securely and directly into revenue-generating workflows.”
Case Study: A Pre-Trade Wheel
One institutional client recently deployed the combined Quod + Boltzbit solution to transform its pre-trade wheel and go-to-market strategy process.
Historically, evaluating venue performance and execution strategy required manual effort and was performed infrequently. With the new AI-enhanced module:
- The trading team can now run weekly pre-trade TCA reviews
- AI automatically analyses venue behavior, slippage patterns, and execution quality
- Strategy deviations are flagged in real-time
- Insights feed directly back into the pre-trade wheel, supporting continuous optimization
The result is a dramatically more agile feedback loop. By pairing Quod’s normalized data architecture and native AI automation tools with Boltzbit’s big data reasoning models, the firm has improved the speed, depth, and frequency of its strategy evaluation, ultimately enhancing its ability to respond to market conditions and optimize execution outcomes.
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About Quod Financial
Quod Financial delivers advanced multi-asset trading technology through Unity – a modular, cross-asset architecture designed to interconnect the full order lifecycle. Unity provides normalized integration across all trading workflows, empowering financial institutions to automate, customize, and scale their trading infrastructure without disruption.
Built on Unity, Quod’s product suite includes high-performance OMS, EMS, Smart Order Routing (SOR), Algorithmic Trading, Internalization of Liquidity, and dynamic market connectivity — all accessible through a flexible, data-driven, and AI-enhanced platform.
For more information, visit: www.quodfinancial.com
Quod Marketing | +44 20 7997 7020 | marketing@quodfinancial.com
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About Boltzbit
Boltzbit is a deeptech AI company headquartered in London, on a mission to make General Learning Intelligence (GLI) and the power of AI accessible to all. Founded in 2020 by former Google AI researcher Dr Yichuan Zhang and former Microsoft AI researcher Dr Jinli Hu, the company builds on academic research into Boltzmann machines to develop generative models capable of instant learning that surpass the limitations of traditional pre-trained transformers.
Boltzbit’s instant-learning large language models are already in production, powering real-world applications across financial services, data and high-growth technology sectors. The company is part of the emerging AGI 2.0 movement, representing an evolution from model-centric AI (AGI 1.0) to context-centric, continuously learning intelligence. For more information, visit www.boltzbit.com.
Media contact l Sophonie Robichon l +44 7522 874 439 l sophonie@boltzbit.com