AI Consulting Services to Ensure Higher ROI for Enterprises

AI Consulting Services Trusted by the Leading Companies

ThirdEye’s AI consulting services enable enterprises to explore potential opportunities for AI implementation in their existing operational process.   

We understand that every successful business investment relies on ROI. Therefore, we work closely with our clients in every step of their AI implementation process – robust strategy development, AI tools selection, model development, training the model, testing out the model performance, and integrating the model into the existing operational system.

Artificial Intelligence has been implemented in almost every industry to save money and time. But from the business decision makers’ point of view, it is important to understand the challenges, cost, and return they get for their investment. With our 15 years of hands-on experience, we bridge the gap between assumption and planned outcome for every AI implementation program.

There is no one-size-fits-all option in AI consultation. Every business use case is different from the others. Depending on the existing systems, business goals, and present data landscape, we customize our consultation approach. We have segregated our AI consulting services to make them relevant and effective for all the unique business goals.  

AI Strategy Development

At ThirdEye, we believe an effective AI strategy is essential for enterprises to leverage AI technologies to meet their business goals.

Our approach focuses on integrating AI into existing operations, innovation, and decision-making to support overall objectives. Through our AI consulting, we help enterprises identify and prioritize use cases, and build roadmaps to implement AI effectively to achieve their goals.

AI Technology Selection

We have expertise in building AI solutions by leveraging the latest AI technologies in deep learning, computer vision, NLP, and generative AI fields.

Our AI consultants enable enterprises to leverage advanced machine learning algorithms like SVMs, Random Forests, Gradient Boosting, RNNs, CNNs, FCNs, GANs, Autoencoders, Boltzmann Machines, Reinforcement Learning, PPOs, Transformer Networks, and Capsule Networks.

Artificial Intelligence

Proof-of-Concept or POC Development

We convert an AI idea into MVP by developing a model/demo with deep research, the right tool selection, and a compact project roadmap. Our POC development approach creates a prototype and tests the preferred AI solutions based on the present data landscape and existing infrastructure.

The goal of AI proof-of-concept (POC) development is to validate the feasibility and benefits of the tested AI solutions in achieving business objectives.

We have implemented 80+ AI Solutions

We have implemented 80+ AI solutions for small to large scale enterprises, including some Fortune 500 companies. Take some time out to browse through our top AI implementation project references.

Our Hands-On Experience in the Latest AI/ML Tools & Technologies

ThirdEye’s AI consultants are highly skilled with the latest AI and ML technologies. With our AI consulting services, we help enterprises to select and leverage the right tools and technologies based on their business goals. We aim to bring the highest ROI by cutting down the additional cost of unnecessary tools and guide in selecting cost-effective yet impactful ones.

Function of this area: This area helps us to gain initial insights into data characteristics and relationship.

Tools and technologies we recommend in this area:  

  • Data Visualization Libraries: Matplotlib, Seaborn, ggplot2, Tableau Public
  • Statistical Analysis Libraries: Pandas, SciPy, R base package
  • Interactive Notebooks: Jupyter Notebook, RStudio

Function of this area: We develop and train models to make predictions or classifications.

Tools and technologies we prefer in this area:  

  • Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch, Caret
  • Deep Learning Frameworks: TensorFlow, PyTorch, Keras
  • Statistical Modeling: Various Packages of R

Function of this area: We integrate the developed models into real-world applications to get the output.

Tools and technologies to be used in this area:   

  • Model Deployment Frameworks: TensorFlow Serving, PyTorch Serving, Flask
  • Cloud Platforms: AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform
  • Container: Docker, Kubernetes


Function of this area: In this area, we equip the decision makers with the dashboards to communicate with data insights effectively.  

Tools and technologies we recommend in this area:  

  • Data Visualization: Tableau, Power BI, QlikView, Looker
  • Data Storytelling Platforms: Tableau Public, Narrativa

Customer Success Stories

Enhancing Sales Operations for a Fabric Manufacturing Company

Establishing a fully integrated AI system capable of making informed predictions to optimize inventory and sales strategies by integrating existing data sources and external data sources.

Predictive Maintenance & Component Failure Analysis of Aircrafts

Developed a suite of predictive maintenance algorithms to analyze data from various sources to predict aircrafts' component health and optimize maintenance schedules.

Predictive Metrology for Control Systems of Glass Manufacturing

Developed an Open-Loop-System that aids factory operational personnel to control the glass coating process, improves the product quality, and reduces waste.

Are you planning to implement AI solutions into your existing systems?

Leverage our hands-on expertise in building project roadmap, selecting right AI tools, model development or building POC to test out the feasibility and effectiveness of the AI solutions.

Talk to our AI consultants and start your AI implementation journey with the experts.