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AI Consulting

Data and AI solutions — for you.

OpenCV.ai offers to develop custom-built data AI solutions that cover all aspects, from data collection to integration to predictive analytics models that automate data-driven decision-making.

Data augmentation and synthesis

Access high-quality training data and reduce reliance on its collection and preparation to build more accurate machine learning models faster.
Using deep learning models, our team will improve model prediction accuracy and prevent data privacy problems to help you reduce data collection costs and improve the quality of decision-making.

Exploratory data analysis

Leverage the power of exploratory data analysis to unveil the inherent stories and nuances within datasets and learn how to best manipulate your available data sources.
With its help, you can discern hidden patterns and identify obvious errors in the data that might otherwise skew the results or lead to incorrect conclusions.
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Data science services

OpenCV.ai data science engineers help solve the toughest data challenges to refine operational intelligence, enhance product quality, and increase business efficiency.
Our data science team can create a machine learning model, train complex deep neural networks, or apply a computer vision algorithm to achieve a well-defined data science goal with guaranteed ROI.
opencv.ai in numbers
Get a peek at some of our stats to see what OpenCV.ai looks like.
Here are some stats on the work of our team throughout the years.
60 Countries where our solutions are used
6 Fortune500 Clients
80+ Successfully Executed Computer Vision Solutions
50+ Professionals in-house
50+ Professionals in-house60 Countries where our solutions are used80+ Successfully Executed Computer Vision Solutions6 Fortune500 Clients
Our Process

How we approach an AI data project.

Leverage our team's expertise at any stage of your data innovation journey with AI. We are here to support you in your entire transformation process.
01
Addressing business requirements
  • Evaluate business requirements and current performance metrics
  • Pinpoint objectives and potential challenges
  • Understand the opportunities and pitfalls of implementing AI & ML
02
Planning
  • Set assumptions and outline key project goals
  • Prioritize the needs based on their value for the business, the complexity and technical risks
  • Agree on the project's time and budget scope
03
Crafting analytical algorithms
  • Select data science methodologies
  • Build and train models using prepared data
  • Deliver a model that can validate your idea
04
Deployment & support
  • Integrate the model into your operation seamlessly
  • Continually evaluate algorithm performance to fine-tune and adapt as necessary for sustained success
Our case studies

Success stories.

Hundreds completed projects and counting.
We’ve been helping our clients find the optimal AI solution for more than 7 years. The history of our thriving collaborations has many strong cases to show - check them below.
AI in Tennis
ai in construction
ai in retail
Portfolio
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our approach

What makes OpenCV.ai to stand out?

OpenCV.ai takes such an approach, enabling organizations to leverage their data assets with confidence while ensuring integrity and compliance throughout the process.
Personalized approach
When incorporating data science solutions, there are multiple challenges a company may face. At OpenCV.ai, we help solve these issues by prioritizing a tailored approach and starting with an analysis of your unique situation before recommending a course of action.
Expert assistance
With years of experience, we deliver outstanding data science services that companies truly require. From consulting on data strategy to building complex algorithms, our team keeps its focus on catering to our client’s needs and building solutions that boost business growth.
Security and compliance
OpenCV.ai follows all the required security and privacy standards to leave our clients worried about the quality of services they receive. GDPR, CCPA, CalOPPA, and other protocols – we are compliant with them to guarantee your sensitive data privacy and eliminate leakages.
Result-oriented approach
We are committed to getting things done by any means to achieve the results we have agreed on with you at the project's outset. By setting clear goals, measuring progress towards those objectives, and doing our utmost, we reach the outcome you desire.
Get in touch
Our data experts for your next project.
Ready to take this step in your data and AI transformation? Unlock the hidden potential of raw, unstructured data and transform it into actionable insights with OpenCV.ai.
AI in warehouse 2
Tech stack we use

Technologies we leverage.

Utilize your data to start the AI and IoT development of your product that will handle the power of the latest and best-proven technologies.

Tools

Pytorch
TensorFlow
OpenCV
CUDA/cuDNN
Core ML
TensorRT
CVAT
JAX
ONNX
OpenVINO
Deepstream SDK
TFLite

Hardware

ARM
RISC V
Jetson
NVIDIA GPU
Raspberry Pi
Intel / AMD CPU
Intel Myriad X

Questions?
Answers.

What are AI data services?

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It encompasses a suite of offerings that leverage AI technologies to handle, analyze, and derive insights from vast amounts of data. Such data modernization services involve using AI algorithms to enhance the decisions made within businesses, data management, and how it is processed.

What is an example of an AI service?

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An example of an AI service is personalized recommendation systems used by platforms like Netflix or Amazon. These systems analyze user data to suggest content tailored to individual preferences. Another great example of data science and AI solutions is dynamic pricing algorithms used by
e-commerce platforms. These algorithms utilize AI to adjust product prices based on real-time market demand, competitor pricing, and consumer behavior.

How does AI organize data?

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AI organizes data by employing techniques like ML algorithms to categorize, structure, and make sense of large datasets. Through data clustering & classification, AI can efficiently organize and extract valuable insights from complex data sources.

What is generative AI?

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Generative AI is a branch of artificial intelligence focused on creating new content autonomously, like images, text, and music, based on patterns and data it has learned. It enables machines to generate original outputs by understanding and mimicking existing data. It is often used for tasks such as image synthesis, text generation, text analysis, or content creation.

What is AI data analytics?

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AI data platform for analytics analyzes datasets, discovers patterns, and extracts meaningful insights. By combining AI capabilities with advanced analytics tools, organizations can gain valuable information to support decision-making and improve performance.

How much do AI solutions cost?

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The cost of AI solutions varies based on different factors. These often include project scope and complexity, customization, chosen technology, and project completion urgency. To get a rough estimate of your future project, contact us below.

How much does R&D AI cost?

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The final cost of an AI research and development (R&D) project can vary significantly depending on the scale and scope of the project, the expertise required, and the resources put into use. Data sources, the state of data, and final objectives determine the cost as well.

Insights and updates.

October 4, 2024

Artificial intelligence and computer vision in education

How smart machines make learning easier and cheating harder
September 27, 2024

Robotics and agriculture

Let's explore how AI for agriculture improving the lives of animals, plants, and humans alike
September 11, 2024

Computer vision and artificial intelligence in smart cities

Let's talk about how cities are getting smarter, greener, safer, more dynamic — right now
August 26, 2024

Computer vision and artificial intelligence in manufacturing

A few examples of how modern technology makes it possible to produce things faster, cheaper — and more environmentally friendly
August 1, 2024

Computer vision and AI for security

Smart machines don't just heal, work in warehouses and stores — they also help make our world a safer place. Let us tell you how!
July 24, 2024

AI, AR and VR — in Retail

AR (Augmented Reality) and VR (Virtual Reality) are often associated with gaming. However, these technologies hold significant potential in warehouse management.