Finance leveraged by Unconventional Machine Learning
Powering the next generation of SME 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.
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 SME 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
André Sequeira
Quantum Researcher
Ph.D. (c) in Quantum Computing
Hanna Back
Business and Partnerships Manager
Stay quantum
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
Supply chain finance
Microloans
Provider’s assessment
Pre-sale evaluation
