Finance leveraged by Unconventional Machine Learning

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Powering the next generation of lending services with unconventional computing

Achieve better performance for your risk assessments by modeling with a different perspective.

Our core product

Q S A A S

Systemic Quantum Score (SQS)

Supercharge your current score model with finance-proven Machine Learning techniques and Quantum computing capacity.

Enhance your SME client credit scoring team with Quantum and Neuromorphic Machine learning capabilities.

Achieve accuracy and secure more lending deals by visualizing a refined mapping of their credit potential.

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The gap that SQS cover

This margin in *AUC means a critical benefit in terms of default losses reduction.

*AUC measures from 0 to 1 a model's ability to distinguish classes (higher is better). For credit scoring, it's key for identifying likely defaulters, reducing financial risks.

Seamless in house integration for financial services

Loans

Corporate credit cards

Factoring

Confirming

Our roadmap is clear about incorporating unconventional computing

We have a clear path towards the transition from simulated to specific-purpose hardware.

Partners / Affiliates

Highly technical and experienced team

THE BEST COMBINED EXPERIENCE

18 years of experience in finance

We developed successfully more than 15 underwriting systems in 7 different countries.

Our team has 20 years experience in QML and Machine Learning.

Selected in the top 7 pitches in the Q2B 2023 conference in Silicon Valley.

Approved as use case speakers in the Q2B 2024 conference in Paris and evaluated by the stakeholders as “a powerful presentation”.

Nominated for an award in the SME Banking Conference in Vienna 2024 (to be executed in November this year).

Our CEO was recognized for three consecutive years as Quantum Computing Linkedin Top Voice.

Evaluated from ScaleX Invest with an A+ of company growth reliability.

Recognized in multiple scenarios

Quantum-simulated machine learning

Neuromorphic-inspired machine learning

Integrate quantum-inspired techniques

Integrate quantum-inspired techniques

Quantum-simulated machine learning enhancement

Neuromorphic-inspired machine learning algorithm set expansion

Implementing utility using superconducting quantum hardware

First tests on neuromorphic chips

Emulate novel quantum algorithms for machine learning

Emulation of neuromorphic approaches on specific-purpose chips

Switch to quantum hardware hybrid workloads in a production level

Staging test on machine learning with neuromorphic hardware

2024

2025

2026

CLASSICAL HARDWARE

UNCONVENTIONAL HARDWARE

CLASSICAL HARDWARE

UNCONVENTIONAL HARDWARE

Our roadmap is clear about incorporating unconventional computing

We have a clear path towards the transition from simulated to specific-purpose hardware.

Partners / Affiliates

A team deeply committed to research

Javier Mancilla

Co-founder and CEO
Ph.D. in Quantum Computing

alt.bank, fintonic, greensill, rauva

Tomás Tagliani

Co-founder and General Manager
MBA

intuition machines, alt.bank, hsbc, gocap, mercado libre

Iraitz Montalbán

Co-founder and CTO
Ph.D.(c) in Quantum Machine Learning

iberdrola, sdg group (alten), panda security, tecnalia

Christophe Pere

Quantum Researcher
Ph.D. in Astrophysics

Theodore Bouloumis

Quantum Researcher
Ph.D. in Applied Physics

Andrés Silva

Senior Partnership Advisor
MBA and DEA

Stay quantum
Get in touch

Selected in the top 7 pitches in the Q2B 2023 conference in Silicon Valley.

Approved as use case speakers in the Q2B 2024 conference in Paris and evaluated by the stakeholders as “a powerful presentation”.

Nominated for an award in the SME Banking Conference in Vienna 2024 (to be executed in November this year).

Our CEO was recognized for three consecutive years as Quantum Computing Linkedin Top Voice.

Evaluated from ScaleX Invest with an A+ of company growth reliability.

Recognized in multiple scenarios

*Our CEO, Javier Mancilla, presenting a use case with the SQS solution at Q2B Paris 2024 conference.

*Our CEO, Javier Mancilla, presenting a use case with the SQS solution at Q2B Paris 2024 conference.

Stay quantum
Get in touch

Supply chain finance

Microloans

Provider’s assessment

Pre-sale evaluation

Eva Andres Nuñez

Quantum Researcher
Ph.D. in Quantum Computing and AI