Artificial Intelligence

“The first is to establish that something is possible; then probability will occur” By now already we are very beyond our first step and with these years of experience we are with the confidence that nothing is impossible. By now we have our own AI-based projects.

This is the time when we will help you the extracted area to which AI will bring the benefits, and answers to all of your business problems. Machine Learning systems process and analyze enormous amounts of data without explicit programming.
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Our Experience

Spera Labs experts have a massive experience with self-taught software for healthcare, plantation, fintech, Aviation, Information and Enterprise management and also on other industries. We write machine learning algorithms in python and R and also with novel other technology is using by us in innovative products.

By now we have done our experiments on a different kind of field and have implemented AI technology in a successful way.
We have been occupied,

  • Automated customer interactions
  • Fraud detection
  • Intelligent Cybersecurity
  • Breaking through business insights
  • Automated home air conditioning
  • AI assistants
  • AI robotics
  • Real-time data science
  • Self taught analytical tools
  • Greenhouse auto plantation houses
  • Neural network and deep learning
  • Automated lighting systems

What we do?

We provide and drive secure, trusted personalities for conversational interfaces like chatbots, virtual assistances, avatars, and robotic applications. In other words, we design and build products that are capable of understanding and responding to human dialogue.

Machine Learning
Machine learning is one of the most common types of artificial intelligence in development for business purposes today. Machine learning is primarily used to process large amounts of data quickly. These types of artificial intelligence are algorithms that appear to "learn" over time, getting better at what they do the more often they do it. Feed a machine learning algorithm more data and its modeling should improve. Machine learning is useful for putting vast troves of data – increasingly captured by connected devices and the internet of things – into a digestible context for humans.
Deep Learning
Deep learning is an even more specific version of machine learning that relies on neural networks to engage in nonlinear reasoning. Deep learning is critical to performing more advanced functions, such as fraud detection. It can do this by analyzing a wide range of factors at once. For example, for self-driving cars to work, several factors must be identified, analyzed and responded to at once. Deep learning algorithms are used to help self-driving cars contextualize information picked up by their sensors, like the distance of other objects, the speed at which they are moving and a prediction of where they will be in 5-10 seconds. All this information is calculated side by side to help a self-driving car make decisions like when to change lanes.
Image Processing
Set of computational techniques for analyzing, enhancing, compressing, and reconstructing images. Its main components are importing, in which an image is captured through scanning or digital photography; analysis and manipulation of the image, accomplished using various specialized software applications; and output (e.g., to a printer or monitor). Image processing has extensive applications in many areas, including astronomy, medicine, industrial robotics, and remote sensing by satellites.

Services we offer

Product Analytics
Analysis of existing data source, cleaning data source, identifying algorithms or develop algorithms, build and fine-tune models based on training data.
Identity Verification
Integrate fac-based verification into your application with a simple to use API and enable integrate face-based user verification into your applications with a simple-to-use API and enable, identity verification for an application like employee badge scanning, banking or credit applications and security.
Document Indexing
Instantly and accurately extract text and data from virtually any document without the need for any manual effort or custom code. Create smart search indexes, build automated approved workflows, and better maintain with document archival rules.
Use machine learning to discover how times series and other variables like product features and store locations affect other t generate forecasts such as product demand, resource needs, financial performances that are very much of accurate than traditional methods.
“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial“

Why AI to your business organization?

Artificial intelligence (AI) is not new. It has been around for decades. However, due to greater processing speeds and access to vast amounts of rich data, AI is beginning to take root in our everyday lives.

A practical grounding in AI and its business applications equipping you with the knowledge and confidence you need to transform your organization into an innovative, efficient and sustainable of your future business.

The ability to lead informed, strategic decision-making and augment business performance by integrating key AI management and leadership insights int the way your organization operates.

It also outlines the business benefits of artificial intelligence and gives examples of common AI systems in use today. Finally, it highlights some of the risks and limitations of artificial intelligence in business.

Wanna improve your business with AI?