Technology Expertise

We use best-in-class tools, state-of-the-art technologies and modern approaches to scale up your business

AI/ML & Advanced Analytics


Apache Spark


R Programming




Amazon Sagemaker

Data Engineering

Microsoft Azure


Amazon Web Services

Google Cloud


Apache Hadoop


Apache Cassandra


Microsoft Access



BI & Visualization

Kibana Color Lockup



Power BI


Amazon QuickSight




Use Cases for AI and Machine Learning

Interactive Chatbots

Get your AI-enabled specialized text or voice-driven conversational bots built and integrated into your digital entities. Interactive chatbots can handle tasks like customer support, human resource and more. Wherever you want human-like engaging conversational to happen, deploy such chatbots. They reduce the operation cost without affecting the quality of that particular operation.

Recommendation Engine

Artificial Intelligence and Machine Learning are nowadays heavily being used in e-commerce sector. With the help of these technologies, it becomes easy to build Recommendation Engines, which gives personalized suggestions to customers, increases sales and improves User Experience. These engines render purchase suggestions or advise for the next step as per the previous actions of a buyer.

Process Automation

To automate repetitive and tedious tasks perfectly, Process Automation is utilized. It involves automation of repetitive and trivial tasks. The purpose is to optimize resources, cost and time which are dedicated to performing a certain operation. Process Automation solutions and services help you better streamline the workflow of your business processes. It significantly increases the execution speed of operation.

Voice-based AI

Voice-based Personal Artificially Intelligent Assistants, like Siri, Cortana, Alexa, Google Assistant, etc. are famous for their interactive communications. Seeing their success, businesses have started deploying their own personalized voice-based assistants to help their customers and keep them engaged. From booking tickets to giving traffic details, it can be made specialized at anything you want.

Inventory Optimization

Powerful Data-driven Forecasting systems are an efficient means of streamlining production and optimizing inventories. AI & ML helps businesses figure out sales and probable consumption of products so that inventory management, demand forecasting and supply chains can be handled better. It improves businesses’ performance by letting them prepare better a business strategy and act accordingly.

Image Processing

Artificial Intelligence is heavily used in processing visual data in bulk. Tasks, such as measuring images’ size, recognizing a particular object in a set of images, scaling images, identifying a pattern in an image, diagnosis of a medical X-ray, image enhancement, adding annotation, filtering or more, can be done speedily using AI. These tasks would have consumed a lot of human hours otherwise.

Sentimental Analysis

Sentimental Analysis helps them in understanding the speech/text data and deducing what it means. Tech and business pioneers are using it to analyze sentiments and intent of their customers. They gather emails, social media queries, customer forms, etc. to derive important conclusions from that data. The process also helps in faster classification of queries, and therefore, better quality of service.

Object Recognition

Object recognition is used to recognize particular objects from images and extract useful information for further use. It requires extensive use of AI, ML and Neural networks. Object recognition has found its applications in many critical areas, such as, smart search engines, identification of text in images, detecting of medical anomalies, recognizing humans, recognizing particular things, and more.

Clinical AI

AI has proved itself an important aid for the medical sector. With it, some areas of patient diagnosis can be automated to a great extent. From figuring out the nature of patient’s complaint to extracting helpful medical data using medical history & available documents, Clinical AI can do a lot in this field. It speeds up the treatment process and improves the quality of medical services.

AI-based Web Scrapping

Web scraping is the process of extracting bulk information from unstructured data, available on the web, and classifying it to do something productive. Using Artificial Intelligence, this process can be automated and performed very swiftly. Not only will it save your time and effort, but AI-based web scrapping will also prove a very cost-effective idea for the businesses which need to scrap web data frequently.

AI/ML Services for your Business

AI and ML are especially useful for those businesses which want to accelerate their growth rate and become/stay industry leaders. At Bacancy Technology, we help you in doing so. Our ML developer have logical and integral approach to solve problem and make effective use of existing algorithm. Our advanced knowledge and understanding of business implementation have helped us in becoming the best AI ML Company. Check out a few cases where our services, passion and expertise could benefit you.


Analyze business data to make data-driven decisions & organize information efficiently.


Satisfy your customers or potent clients with instant, precise, satisfying & engaging replies.


Run marketing campaigns smartly - To acquire customers, increase sales and achieve goals.


Optimize sales processes, forecast sales, automate sales activities and increase revenue.


Streamline processes & supply chains, manage inventories and speed up operations.


Detect and prevent frauds, make better financial decisions about business and investment.

HR Management

Improve the onboarding process, automate HR tasks and manage projects efficiently.


Integrate intelligent authentication and security aids to prevent intrusions or avoid risks.

Frequently Asked Questions

Is 15 days risk-free trial period completely free?

Yes, It’s completely free. We allow this free time period to evaluate the code quality, communication, on-time delivery, Agile software development process, and more of the hired trial resource. If you get satisfactory work, then you can continue with the engagement, and if not, then you can right-away cancel it.

AI and ML are not only limited to prediction and classification. Following are a few other use cases where it can be used and implemented:

  • Image Processing (Correct image quality, Image Analysis, Image Synthesizing, Image Captioning)
  • Text Generation (For Q&A, Chatbot Response, Text Summarization)
  • Video Processing (Identifying actions and humans present in the video, Video summarization)

The success of AI and ML model is based on data. For Deep Learning operations, approx 1500 units of the data point, including images, documents, and reviews are required for specific AI-based training/ testing and validations.

Any data which can be converted as well as represented into numerical representation can be worked used for AI and ML. Here is the list of such types of data:

  • Tabular data
  • Text
  • Image
  • Video
  • Graphs
  • Unavailability of a large number of training samples
  • Labelling of Data - As deep learning and conventional machine learning algorithms are supervised, i.e., they need data and their label to capture the semantics of work to be done. It is a manual process and eats up much time than actually building models. It also adds biases in data as humans are prone to error when it comes to accurately annotate data, e.g. Annotating car parts for detecting damage. Model build with such data generally doesn't converse with reasonable accuracy.
  • Adopting Generality - Ml/DL algorithms are not able to produce the same results when deployed to different scenarios than the scenario used while training. So, to make it work in a different situation, retraining model is required
  • Unable to explain what is going on inside the model and hence challenging to debug. However, various analytical tools can help with this.

A RestAPI based URL can be generated and integrated into the application, which will call underneath ML implementation by passing the required parameters.

Implementing AI and ML Solutions comprises two phases:

Phase:1 Building model, training model, testing model and hyper tuning

Phase:2 Deployment model in a production environment

For Phase-1, we need to set cloud base cluster of servers with GPU/TPU to enable machine (Although you can set one machine). It'll take time for training in case of an image, text-based data processing with one machine. To reduce the training time, it's advisable to use a cluster of servers for distributed service. following factors need to calculate in the training phase

  • Costing for the numbers of devices for the training phase – Hourly base
  • Network I/O
  • Costing for the numbers of devices for the prediction phase

AI and ML generated the likelihood of something as output instead of exact output. For, I.e. It is difficult to tell which team will win the EPL league. However, based on past data and other contextual data, the model can predict that so and so the team will have a 95% chance of winning.

Well, we have incredibly talented and seasoned AI and ML developers who have in-depth knowledge and extensive experience in building the next-generation solution with desired features and seamless performance. AI and ML developers at Bacancy Technology have an average experience of 4+ years. Hire experienced AI and ML developers from us for top-grade AI and ML development services to achieve desired business results.

For sure, AI and ML developers you hire from us will dedicatedly work on your project as your employees only. You will have the total access and complete control on them through your convenient communication platform.

Definitely yes. We will. Hire AI and ML Developers from us to work according to your time zone (EST/PST/CST/MST), deadline and milestone. To know more get in touch with us at [email protected] or skype "Bacancy."

Our AI and ML developers do! Be assured; our AI and ML developers and designers are well-versed with developing search engine friendly websites keeping all the SEO aspects into consideration that includes, Server-side rendering, interactive and emerging UI and UX trends, utilizing schema mark-ups for rich snippets, creating crawlable site structures along with URLs to make your website more SEO-friendly.

At Bacancy Technology, we provide three types of hiring engagement models.

Dedicated Developer :-

Monthly basis -160 Hours a Month. 8 hours a day, 5 days a week

Hourly Basis: -

Hours/ Month- We use time tracking tools like time doctor, hub stuff for time tracking

Time and Material Base-

You can share your requirements with our team. Our team will evaluate your requirements and then get back to you with the detailed estimation of your project along with time and cost as well as the roadmap of the project.

At Bacancy Technology, we use industry-standard project management tools like Jira, Trello, Pivotal Tracker, Asana, etc. Where you will be able to track the productivity of hired AI and ML developers and monitor the daily progress of your project. You can create the task, assign the work and follow the development progress.

Yes, You will have 100% ownership of your AI and ML project. It includes NDA, copyright, source code, intellectual property rights, etc.

Yes, we have. Interestingly, our skilled and experienced developers have worked upon many projects and ensured smooth transition & efficient processes for our many clients. Get in touch with our expert at [email protected] OR Skype us at Bacancy to know more about the services we provide & how many projects we completed till now.

Here is a simple procedure we follow once you start your project with us:

  • Understand your existing project requirements & work done by the other service provider.
  • Provide a Full Stack developer or a team with the same skill set you require in your project
  • Provide progress report & manage daily Stand-up calls with our Project Managers regarding the work.
  • Last but not least, we will give our best to make your expectation for a smooth transition possible.

First of all, this will never happen. Client satisfaction is our highest priority. Either Party to this agreement may terminate the contract, with or without cause, by providing at least 14 days (2) weeks written notice to the other Party. Upon termination of this agreement, the Bacancy Technology shall deliver a termination invoice for work completed to date, which shall be paid by the client (in 3 business days). The Termination invoice shall specify all unpaid work and the remaining amount of the work done till the termination date. On termination, all work completed to time shall be delivered to the client in a usable electronic format.

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