THE PROBLEM
Despite Huge AI Advancements…
![](https://perceiver.ai/content/uploads/step-01.png)
It still gives us suboptimal guidance every day in every industry.
![](https://perceiver.ai/content/uploads/step-02.png)
Leading AI products are a black box which is not acceptable for applications where you must understand the “thought process” such as portfolio management, route planning, and healthcare.
![](https://perceiver.ai/content/uploads/step-03.png)
The world is ruled by algorithms and current ML requires humans to discover and test models which introduces their biases, blind spots, and slow pace compared to a machine.
![](https://perceiver.ai/content/uploads/step-04.png)
AI has reproducibility issues where outcomes are not consistently replicated or understood.
![](https://perceiver.ai/content/uploads/step-01.png)
It still gives us suboptimal guidance every day in every industry.
![](https://perceiver.ai/content/uploads/step-02.png)
Leading AI products are a black box which is not acceptable for applications where you must understand the “thought process” such as portfolio management, route planning, and healthcare.
![](https://perceiver.ai/content/uploads/step-03.png)
The world is ruled by algorithms and current ML requires humans to discover and test models which introduces their biases, blind spots, and slow pace compared to a machine.
![](https://perceiver.ai/content/uploads/step-04.png)
AI has reproducibility issues where outcomes are not consistently replicated or understood.
Machine Learning Based Optimizer
Enter Perceiver AI™
![](https://perceiver.ai/content/uploads/machine-learning-step-01.jpg)
Generates algorithms and predictive models as the result of optimizing against a training dataset.
![](https://perceiver.ai/content/uploads/machine-learning-step-02.jpg)
Output is immediately inspectable and usable.
![](https://perceiver.ai/content/uploads/machine-learning-step-03.jpg)
Can use an existing algorithm as the starting point.
![](https://perceiver.ai/content/uploads/machine-learning-step-04.jpg)
Has produced superior performance across very different domains.
Works Out of the Box
- Requires minimal human intervention. Eliminates the need to pre-analyze how the data behaves.
- Uses a novel form of genetic programming.
- Makes no assumptions. It only uses observed data patterns to determine the optimal model.
Scalable and has a multitude of applications
- Built for large datasets using distributed programming principles.
- Not limited to pre-existing models.
Perceiver creates complex models using intelligent cross-dataset relationship analysis.
How We Work With Customers
Strategic Discussion to Decide on Best POC
- Video collaboration with SMEs
- Agree on fitness function (what we are solving for)
- Agree on success criteria
Onboard to Platform for First Problem Domain
- Mutual understanding of existing process and pain points
- Agree on test dataset (can be anonymized)
- Perceiver AI develops initial model
- Collaborative iteration until success criteria are met
Onboard Additional Problem Domains
- Repeat step 02 for each additional problem domain
Support, Maintenance, and Professional Services
- Technical Support
- Automatic Updates
- Consulting Services to maximize your ROI
Strategic Discussion to Decide on Best POC
- Video collaboration with SMEs
- Agree on fitness function (what we are solving for)
- Agree on success criteria
Onboard to Platform for First Problem Domain
- Mutual understanding of existing process and pain points
- Agree on test dataset (can be anonymized)
- Perceiver AI develops initial model
- Collaborative iteration until success criteria are met
Onboard Additional Problem Domains
- Repeat step 02 for each additional problem domain
Support, Maintenance, and Professional Services
- Technical Support
- Automatic Updates
- Consulting Services to maximize your ROI
The Levels of Improvement Perceiver Achieves are Groundbreaking
30%
Incremental Fuel Savings
For commercial flights using fuel tankering
2,235 tons
Carbon Emissions Reduction
For a single business aviation fleet per year