Artificial Intelligence

AI/ML Models Deployed Across Multiple Industries
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Data Processed
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Annotations Completed Across Multiple Use Cases
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Predikly's Artificial Intelligence & Data Expertise

As per Statista, the market size for AI & ML services is expected to show an annual growth rate (CAGR 2023-2030) of 18.73%, resulting in a market volume of US$528.10bn by 2030. Generative AI, particularly in the areas of natural language processing and content creation, is expected to witness continuous advancements.

Investment in AI/ML will enable companies to gain a competitive edge through innovation & efficiency. It will help informed decision-making, automate tasks, and optimize workflows, enhancing overall productivity. Embracing these transformative technologies is not only strategic but also essential for thriving in the era of data-driven decision-making.

Don’t be left behind. Start Your AI/ML Journey.

How AI/ML solutions can help your Enterprise?

When processed and analysed with Artificial Intelligence and Machine Learning solutions, the data offers insights and trends that it would be impossible to observe manually – identifying and acting on those insights and trends is vital to keep pace with today’s data-driven environment.
Informed Decision-Making
Integrating AI/ML solutions offers a nuanced analysis of patterns within big data, revealing actionable insights. Leaders can rely on these insights for strategic planning, enhancing their agility in decision-making processes. The precision of AI-driven decisions also diminishes the risk of human error, leading to more reliable outcomes.
Enhanced Operational Efficiency
AI/ML streamlines processes by learning from data to automate and optimize operations. These technologies enable real-time monitoring of systems, leading to swift adjustments that enhance efficiency. They are pivotal in transforming raw data into operational insights that drive cost savings and performance improvements.
Predictive Analytics
With AI/ML, enterprises can move beyond traditional analytics to anticipate outcomes and behaviors. This forward-looking approach allows for preemptive action, optimizing inventory management, and financial planning, thus mitigating risks and capitalizing on future market trends.
Customer Personalization
AI/ML examines consumer data to create a customized approach to service delivery. It builds detailed customer profiles that facilitate personalized marketing strategies and product development, ultimately fostering a deeper and more personal connection with the customer base.
Competitive Intelligence
AI-powered competitive analysis tools scan the market to provide a comprehensive view of the competitive landscape. They track trends, benchmark performance against competitors, and identify opportunities for differentiation, enabling a strategic advantage.
Chatbots and Customer Support
Advanced AI chatbots offer more than just basic customer interactions; they provide personalized responses and learn from each engagement to improve future communications. This not only enhances the customer experience but also increases efficiency and resolution speed.
Employee Productivity
AI assists employees by automating monotonous tasks and delivering insights for better decision-making. This uplifts employee morale by allowing them to focus on strategic and creative tasks, thereby driving innovation and job satisfaction.
Quality Assurance
AI enhances quality assurance by providing precise, automated inspection capabilities that surpass human accuracy. It continuously refines its analysis over time, leading to a significant decrease in production errors and ensuring that quality remains a consistent priority.

 AI/ML solutions are indispensable in propelling enterprises toward innovation, efficiency, and competitiveness. They empower data-driven decision-making, streamline operations, and predict trends, which is crucial for staying relevant in a rapidly evolving business landscape.

Personalizing customer experiences boosts engagement, while competitive intelligence aids in strategic positioning. By enhancing productivity and ensuring quality, AI/ML tools foster a dynamic, responsive, and resilient enterprise environment.

In summary, AI/ML is not just an optional upgrade but a critical investment for any enterprise aiming for long-term success and sustainability.

Our Expertise

Predikly offers below AI services to implement overall AI strategy
Machine Learning

From model building to deployment, Predikly builds machine learning models to analyse complex data and derive optimal business value. Predikly's service extends beyond building ML models, encompassing the entire lifecycle from ideation to deployment. We ensure that the ML models are scalable, secure, and integrated seamlessly with existing business processes, enhancing predictive capabilities and decision-making precision.

Generative AI

Unlock new possibilities with our innovative Gen AI solutions. From test and dev engineering to knowledge database and content generation, we utilize LLMs to drive your enterprise business. Predikly's generative AI harnesses the latest advancements to create unique data and media, fostering innovation and intellectual property generation. These AI models are pivotal in developing new products, services, and content, thereby reshaping industries.

Data Engineering

From Data acquisition, data cleaning, continuous data collection to data management - We have done all of it. Our Data Engineering services help businesses get the most out of their data using advanced analytics solutions. This involves deploying sophisticated algorithms and data processing techniques to provide enterprises with a robust foundation for analytics and AI applications.

Data Annotation

Accurately annotate your Text, Image, Audio, and Video data to improve your AI and ML models. Our data annotation experts work with the top annotation tools such as CVAT, SAM, etc. for achieving the highest level of accuracy and efficiency. We employ a rigorous quality control process that scrutinizes the annotated data for consistency and relevance, thereby refining machine learning models for superior performance.

Our Case Studies

At Predikly, we have experience of delivering AI solutions to various business use cases such as:

Stock Price Prediction for US Market

Stock Market Long Term Strategy for US Market

Automated Disease Detection for Oranges

Species Growth monitoring

Species Health monitoring

Species Behaviour monitoring

Fraud Detection


Sentiment Analysis

Natural Language Processing (NLP) and Applications

Chatbots and Virtual Assistants

Clients Speak

Alex Fleming

Project Manager, Talkout Tech

Hi Amit The UK team at TalkOut would like to thank you, and show our appreciation for the tremendous effort you made to fix blocking defects for the sprint 17 release last weekend.
You always show a huge amount of dedication and commitment, and are a real asset to our team. Many thanks,

Doyle K. Damron

CEO, Founder Confirm4Funds

“Thanks for the update and the great news! You and your team have worked very hard I know. Looking forward to polishing our project to a fine finish!”

Greg Hartigan

Pragmatik HR Ltd & Cashflowhr

“The service we receive from Predikly is fantastic – the technical competence and attention to detail are brilliant. We would not be here
without you. We feel you and the team give a higher than expected service.”

Parks Barker

Assistant Corporate Controller, CMT

“This is definitely a big step in our cash reconciliation process. We will continue to monitor the application throughout next week’s Close and into future months. Thank you both to the Predikly and the CMT IT Teams for making this possible.”

Brooke Kingston

Accounting Manager, CMT

“Thank YOU, Rutika and team! We are really excited about this go-live!”

Ralph (Joe) Joseph II

Finance & IT Manager, Fort Amanda Specialties LLC

“WOW, time for a little celebrating! 25 invoices created and posted in less than 1 hour with no errors, awesome!”

Joel Bertaud

Director of Customer Service and Logistics Strategy, Intersand

“Hello Anil, IT’s our second day in Production for Intersand’s RPA. We wanted to take a moment to thank you and your team for the great job accomplished so far. Our Bots are running well.”

Dominic L. Perrier

Business Analyst, Intersand

“That’s wonderful! Thank you so much for all your effort for this improvement. It will save a great deal of time. Can we apply the same thing for bot#6 (only packing slip & order slip) and invoice (only the invoice)?”

Chandragupta Gudena

Chief Information Officer, PBMares

“Congratulations, team! We are just getting started with adding our first digital workers to the workforce! Thank you for your patience and perseverance as we get the bots to get efficient.”

Why Choose Predikly for Your AI/ML Needs?

  1. Expertise: With years of experience in artificial intelligence software development and machine learning solutions, we have the expertise and knowledge to deliver innovative solutions that drive real business value.
  2. Customization: We understand that one size does not fit all when it comes to AI and ML solutions. That’s why we take a personalized approach to every project, ensuring that our solutions are tailored to meet your unique requirements and objectives.
  3. Scalability: Whether you’re a small startup or a large enterprise, our AI and ML solutions are designed to scale with your business. From proof-of-concept experiments to large-scale deployments, we have the scalability to support your growth and evolution.
  4. Collaboration: We believe in the power of collaboration and work closely with our clients every step of the way. From initial concept to final deployment and beyond, we collaborate with you to ensure that our solutions meet your expectations and deliver measurable results.

The Power of Artificial Intelligence and Machine Learning

Artificial intelligence (AI) and machine learning (ML) stand as pillars of innovation, transforming the very fabric of how businesses function and strategize. Through their advanced capabilities, AI and ML have ushered in a new era of data-driven decision-making and operational excellence.

Uncovering Valuable Insights: At the core of AI and ML lies the ability to sift through vast volumes of data, extracting invaluable insights that were previously hidden amidst the noise. Through sophisticated algorithms and deep learning techniques, businesses can now gain a comprehensive understanding of their operations, customers, and market dynamics.

Predicting Future Trends: Armed with historical data and predictive modeling techniques, AI and ML algorithms have the power to foresee future trends and developments. By analyzing patterns and correlations within the data, businesses can anticipate market shifts, consumer preferences, and emerging opportunities, allowing them to stay ahead of the curve in a rapidly evolving landscape.

Automating Repetitive Tasks: One of the most impactful benefits of AI and ML is their ability to automate mundane and repetitive tasks, freeing up valuable time and resources for more strategic endeavors. From data entry and processing to inventory management and customer service, AI-powered automation streamlines workflows reduces errors, and enhances overall productivity.

Personalizing Customer Experiences: In today’s hyper-connected world, delivering personalized experiences has become a cornerstone of customer engagement and loyalty. AI and ML enable businesses to analyze vast amounts of customer data in real time, allowing them to tailor products, services, and marketing messages to individual preferences and behaviors. This level of personalization not only drives customer satisfaction but also fosters long-term relationships and brand loyalty.

Enhancing Operational Efficiency: By optimizing processes, minimizing waste, and maximizing resource utilization, AI and ML contribute to significant improvements in operational efficiency. Whether it’s optimizing supply chain logistics, improving production workflows, or enhancing inventory management, AI-powered solutions streamline operations and drive cost savings across the board.

Driving Revenue Growth: Ultimately, the impact of AI and ML extends beyond operational efficiency to directly influence revenue growth and profitability. By leveraging data-driven insights, predictive analytics, and personalized experiences, businesses can unlock new revenue streams, identify untapped market opportunities, and drive incremental sales, positioning themselves for sustainable growth and success.

Common Examples Of AI And ML Implementations Across Various Industries:

Virtual Assistants and Chatbots:
Virtual assistants and chatbots are widely used in customer service, providing instant support and assistance to users. These AI-powered systems leverage natural language processing (NLP) and machine learning algorithms to understand and respond to user queries, improving customer satisfaction and reducing operational costs.

Recommendation Systems:
Recommendation systems are prevalent in e-commerce platforms, streaming services, and social media networks. These systems analyze user behavior and preferences to recommend products, movies, music, or content tailored to individual tastes. By leveraging collaborative filtering and content-based filtering algorithms, recommendation systems enhance user engagement and drive sales.

Fraud Detection:
AI and ML algorithms are employed in fraud detection systems to identify suspicious activities and prevent fraudulent transactions. These systems analyze patterns and anomalies in transaction data to flag potentially fraudulent behavior, helping financial institutions, e-commerce platforms, and insurance companies mitigate risks and protect against fraudulent activities.

Predictive Maintenance:
In industries such as manufacturing, transportation, and energy, predictive maintenance systems utilize AI and ML algorithms to forecast equipment failures and schedule maintenance proactively. By analyzing sensor data, historical maintenance records, and environmental factors, these systems predict when machinery or equipment is likely to malfunction, reducing downtime and optimizing maintenance costs.

Image Recognition and Computer Vision:
Image recognition and computer vision technologies are employed in various applications, including facial recognition, object detection, and autonomous vehicles. These AI-powered systems analyze visual data from images or videos to identify objects, recognize patterns, and make intelligent decisions. In retail, for example, image recognition systems can automate inventory management and enhance in-store experiences.

Healthcare Diagnostics:
AI and ML algorithms are revolutionizing healthcare diagnostics by enabling the analysis of medical imaging data, such as X-rays, MRI scans, and CT scans. These systems assist healthcare professionals in diagnosing diseases, identifying abnormalities, and recommending treatment options. By leveraging deep learning techniques, medical imaging AI solutions improve diagnostic accuracy and patient outcomes.

Personalized Marketing:
AI-powered marketing automation platforms utilize machine learning algorithms to deliver personalized marketing campaigns tailored to individual preferences and behaviors. By analyzing customer data, including browsing history, purchase patterns, and demographic information, these systems can segment audiences and deliver targeted messages, increasing conversion rates and ROI.

Autonomous Vehicles:
Autonomous vehicles rely on AI and ML technologies to perceive their surroundings, navigate through environments, and make real-time decisions. These vehicles use sensors, cameras, and lidar systems to collect data, which is processed by AI algorithms to detect obstacles, interpret traffic signs, and plan optimal routes. Autonomous vehicles have the potential to revolutionize transportation by improving safety, reducing accidents, and optimizing traffic flow.

Natural Language Processing (NLP):
NLP technologies enable machines to understand, interpret, and generate human language. These systems are used in various applications, including language translation, sentiment analysis, and text summarization. NLP-powered applications enhance communication, enable language understanding, and facilitate interactions between humans and machines.

Financial Trading and Investment:

AI and ML algorithms are employed in financial trading and investment to analyze market trends, predict stock prices, and optimize investment portfolios. These systems leverage historical market data, news sentiment analysis, and other relevant factors to make data-driven investment decisions. AI-powered trading algorithms can identify profitable trading opportunities and execute trades with speed and accuracy.