SOLVE THE BIGGEST ENGINEERING CHALLENGES

Understand. Optimize. Trust your AI.

Understand. Optimize. Trust your AI.

Understand. Optimize. Trust your AI.

«The bottleneck in AI is no longer computing power, but trust.»  -  McKinsey, 2025

WE DELIVER EXPLAINABILITY & TRUST

We analyse and understand your simulations, use UQ to optimize your project, and build trust in your AI.”

We analyse and understand your simulations, use UQ to optimize your project, and build trust in your AI.”

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Co-founder & AI Strategy Lead

BENEFITS

Why Choose Us?

Why Choose Us?

Everything you need to understand, optimize, and trust

Uncertainty Quantification

Auditable decisions & measures of confidence across all uses of AI

Uncertainty Quantification

Auditable decisions & measures of confidence across all uses of AI

Uncertainty Quantification

Auditable decisions & measures of confidence across all uses of AI

Insights Dashboards

For human-in-the-loop governance, measurability & traceability

Insights Dashboards

For human-in-the-loop governance, measurability & traceability

Insights Dashboards

For human-in-the-loop governance, measurability & traceability

Traceability & Verification

Causal explainability & failure analysis for transparency & compliance

Traceability & Verification

Causal explainability & failure analysis for transparency & compliance

Traceability & Verification

Causal explainability & failure analysis for transparency & compliance

SOLUTIONS

Your Trust Platform, for Engineering, Finance & Enterprise AI

Your Trust Platform, for Engineering, Finance & Enterprise AI

Everything you need to accelerate safe & responsible use of intelligence in regulated and mission-critical environnements.

cloud / SaaS

bayesian calibration

surrogate model

quantification

Build Trusted AI workflows

We help you streamline internal operations by automating manual workflows

cloud / SaaS

bayesian calibration

surrogate model

quantification

Build Trusted AI workflows

We help you streamline internal operations by automating manual workflows

cloud / SaaS

bayesian calibration

surrogate model

quantification

Build Trusted AI workflows

We help you streamline internal operations by automating manual workflows

Automated Workflows

Boost efficiency across teams with smart automation Build intelligent workflows that automate multi-step processes across tools and platforms

Automated Workflows

Boost efficiency across teams with smart automation Build intelligent workflows that automate multi-step processes across tools and platforms

Automated Workflows

Boost efficiency across teams with smart automation Build intelligent workflows that automate multi-step processes across tools and platforms

Research anything...

Research

Engineering Simulation in Defense

Autonomous Drone Swarm AI-control

Windturbine predictive maintenance

Real-Time Intelligence

Make smarter decisions with trustable data insights and certifiable results

Research anything...

Research

Engineering Simulation in Defense

Autonomous Drone Swarm AI-control

Windturbine predictive maintenance

Real-Time Intelligence

Make smarter decisions with trustable data insights and certifiable results

Research anything...

Research

Engineering Simulation in Defense

Autonomous Drone Swarm AI-control

Windturbine predictive maintenance

Real-Time Intelligence

Make smarter decisions with trustable data insights and certifiable results

Code

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class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Custom UQ for AI Agents

We develop custom UQ for AI agents and apps that integrate seamlessly with your workflow

Code

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2

3

4

5

class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Custom UQ for AI Agents

We develop custom UQ for AI agents and apps that integrate seamlessly with your workflow

Code

1

2

3

4

5

class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Custom UQ for AI Agents

We develop custom UQ for AI agents and apps that integrate seamlessly with your workflow

UQ for AI Strategy Consulting

Get our guidance to implement UQ for AI solutions that deliver trust and explainability

UQ for AI Strategy Consulting

Get our guidance to implement UQ for AI solutions that deliver trust and explainability

UQ for AI Strategy Consulting

Get our guidance to implement UQ for AI solutions that deliver trust and explainability

TECHNOLOGY

Our Solution Apps Framework

Our Solution Apps Framework

Everything you need to understand, optimize, and entrust, all in one place.

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Simulation Sensitivity Analysis

Identify most influential design parameters: Immediate clarity on what matters, eliminates blind trial-and-error.

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Vision Uncertainty Quantifier

Quantifies how certain or uncertain a vision model is for each prediction (classification, detection, segmentation).

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Financial Risk Analyzer

Provides systematic, automated model validation with uncertainty quantification, streamlining the model risk management process required by SR 11-7 and similar regulations.

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Surrogate Model Builder

Build fast digital twins of complex engineering assets, with true-to-physics accuracy.

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Confidence & Uncertainty Visualizer

A visual analytics app that reveals AI model confidence and uncertainty for more trustworthy decisions.

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Design of Experiment

Plan simulation or lab campaigns efficiently: maximize learning per experiment, save time & cost.

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Simulation Sensitivity Analysis

Identify most influential design parameters: Immediate clarity on what matters, eliminates blind trial-and-error.

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Vision Uncertainty Quantifier

Quantifies how certain or uncertain a vision model is for each prediction (classification, detection, segmentation).

Card Image
Logo

Financial Risk Analyzer

Provides systematic, automated model validation with uncertainty quantification, streamlining the model risk management process required by SR 11-7 and similar regulations.

Card Image
Logo

Surrogate Model Builder

Build fast digital twins of complex engineering assets, with true-to-physics accuracy.

Card Image
Logo

Simulation Sensitivity Analysis

Identify most influential design parameters: Immediate clarity on what matters, eliminates blind trial-and-error.

Card Image
Logo

Vision Uncertainty Quantifier

Quantifies how certain or uncertain a vision model is for each prediction (classification, detection, segmentation).

Card Image
Logo

Financial Risk Analyzer

Provides systematic, automated model validation with uncertainty quantification, streamlining the model risk management process required by SR 11-7 and similar regulations.

USE CASES

Success Stories to Inspire

Success Stories to Inspire

Discover how QUINSIM buils trust in many domains

Quantitative Finance in volatility-driven markets

ntegrating QUINSIM into our risk analysis framework reduced our model uncertainty by 40%, giving us a measurable edge in volatility-driven markets.

0

%

uncertainty reduction

0

%

increase in confidence

Materials Compliance in A&D

With QUINSIM’s Bayesian calibration and surrogate modeling, our materials team reduced physical prototyping by 30%, while maintaining full compliance with ESA standards.

0

%

less physical prototyping

0

%

compliance to ESA standards

Autonomous Industrial Robots

Using QUINSIM, we identified uncertainty-driven failure modes in our AI navigation models that no black-box validation could detect.

0

%

reduction in field-test costs

0

%

faster regulatory approval

"V&V activities are necessary to ensure digital twins meet intended purpose, with UQ producing performance measures for credibility assessment."

Quantitative Finance in volatility-driven markets

ntegrating QUINSIM into our risk analysis framework reduced our model uncertainty by 40%, giving us a measurable edge in volatility-driven markets.

0

%

uncertainty reduction

0

%

increase in confidence

Materials Compliance in A&D

With QUINSIM’s Bayesian calibration and surrogate modeling, our materials team reduced physical prototyping by 30%, while maintaining full compliance with ESA standards.

0

%

less physical prototyping

0

%

compliance to ESA standards

Autonomous Industrial Robots

Using QUINSIM, we identified uncertainty-driven failure modes in our AI navigation models that no black-box validation could detect.

0

%

reduction in field-test costs

0

%

faster regulatory approval

"V&V activities are necessary to ensure digital twins meet intended purpose, with UQ producing performance measures for credibility assessment."

Quantitative Finance in volatility-driven markets

ntegrating QUINSIM into our risk analysis framework reduced our model uncertainty by 40%, giving us a measurable edge in volatility-driven markets.

0

%

uncertainty reduction

0

%

increase in confidence

Materials Compliance in A&D

With QUINSIM’s Bayesian calibration and surrogate modeling, our materials team reduced physical prototyping by 30%, while maintaining full compliance with ESA standards.

0

%

less physical prototyping

0

%

compliance to ESA standards

Autonomous Industrial Robots

Using QUINSIM, we identified uncertainty-driven failure modes in our AI navigation models that no black-box validation could detect.

0

%

reduction in field-test costs

0

%

faster regulatory approval

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

How is QUINSIM different from traditional AI tools?

Unlike black-box AI, QUINSIM quantifies uncertainty, explains model decisions, and integrates physics-based reasoning for verifiable results.

Can QUINSIM connect with my simulation tools?

Yes — QUINSIM supports integration with C++, Python, ROOT, and other common simulation environments.

Who uses QUINSIM?

Engineers, data scientists, and decision-makers in industries like aerospace, energy, finance, and automotive safety use QUINSIM to validate and optimize AI-driven systems.

Why does explainability matter?

Explainability ensures that AI decisions can be trusted, certified, and defended — a crucial factor for safety, compliance, and business confidence.

How does QUINSIM help with compliance and building trust?

QUINSIM automatically documents decision logic, quantifies uncertainty, and provides full model traceability—ensuring compliance with industry and AI governance standards while establishing verifiable trust in every prediction.

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

How is QUINSIM different from traditional AI tools?

Unlike black-box AI, QUINSIM quantifies uncertainty, explains model decisions, and integrates physics-based reasoning for verifiable results.

Can QUINSIM connect with my simulation tools?

Yes — QUINSIM supports integration with C++, Python, ROOT, and other common simulation environments.

Who uses QUINSIM?

Engineers, data scientists, and decision-makers in industries like aerospace, energy, finance, and automotive safety use QUINSIM to validate and optimize AI-driven systems.

Why does explainability matter?

Explainability ensures that AI decisions can be trusted, certified, and defended — a crucial factor for safety, compliance, and business confidence.

How does QUINSIM help with compliance and building trust?

QUINSIM automatically documents decision logic, quantifies uncertainty, and provides full model traceability—ensuring compliance with industry and AI governance standards while establishing verifiable trust in every prediction.

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

How is QUINSIM different from traditional AI tools?

Can QUINSIM connect with my simulation tools?

Who uses QUINSIM?

Why does explainability matter?

How does QUINSIM help with compliance and building trust?

COMPARISON

Why Choose Us Over Others

Why Choose Us Over Others

See how we compare against others in performance, growth

See how we compare against others in performance, growth

Every AI decision transparent and traceable.

Quantifies confidence and risk for every model output.

Fuses simulation physics with data-driven intelligence.

Automatically generates documentation aligned with safety and AI governance standards.

Seamlessly serves engineering, finance, and explainable AI applications.

Others

Deliver black-box predictions with little to no interpretability.

Provide static results without uncertainty awareness.

Rely solely on statistical models that ignore real-world physics.

Require manual compliance validation and lack auditability or certification.

Are siloed, offering domain-specific tools that can’t scale or cross industries.

Reach out anytime

Ready to Build Trust in AI? Let’s Build it Together

Schedule a Call and Begin Building Trust in your AI

contact@quinsim.com

Reach out anytime

Ready to Build Trust in AI? Let’s Build it Together

Schedule a Call and Begin Building Trust in your AI

contact@quinsim.com

Reach out anytime

Ready to Build Trust in AI? Let’s Build it Together

Schedule a Call and Begin Building Trust in your AI

contact@quinsim.com