BEYOND THE ORDINARY
Custom GenAI & Data Science Solutions
Get in touch with us now to embark on your path to unlocking the potential of language and data like never seen before. Together, we will work towards creating a smarter and more interconnected future.
We are a team of top custom software developers, having knowledge-rich experience in developing E-commerce Software and Healthcare software. With years of existence and skills, we have provided IT services to our clients that completely satisfy their requirements.
Why Bluebash AI?
With our extensive expertise in the AI industry, our team of seasoned professionals is equipped with the necessary skills and knowledge to assist businesses, regardless of their scale or industry, in accomplishing their objectives and attaining prosperity by harnessing the potential of AI. Whether you seek to introduce a fresh AI solution or require assistance in enhancing your current AI infrastructure, our wealth of experience ensures proficient and effective results.
State of the art GenAI solution
Free Data pipeline to create unique Dataset
Free AutoML Platform
How we Start?
In this phase, requirements are analysed goals are defined, and a detailed plan is created. This involved identifying, stakeholders, gathering requirements determining project scope, and creating a project roadmap.
Data pipeline creation
In this phase, a data pipeline is established to collect, process, and transform data for training and modern development. This involves identifying data sources, extracting and cleaning data, performing feature engineering and creating a pipeline for data and transformation.
CUSTOM AI model
In this phase, we develop and train machine learning models using prepared data. This involves selecting algorithms, fine-tuning parameters, cross-validation, and assessing performance, making models ready for predictions or improvements.
MLOps refers to the operations practices and infrastructure required to deploy, manage and maintain large language models like ChatGPT. It involves the implementation of processes for model deployment, monitoring, scaling, security and efficient utilisation of computational resource.
In this phase, the trained AI model is deployed for production use. This involves infrastructure setup, API creation, and optimizing real-time or batch processing. It also includes load management, concurrency handling, and performance monitoring.
During this phase, diverse tests are carried out to assess the AI model's performance and accuracy. This encompasses unit tests for component validation, integration tests to assess module interactions, and system tests for behavior evaluation in various scenarios.
Technologies we work with
"Innovative AI Frameworks Powering Our Solutions: Harnessing the Potential of Cutting-Edge Technologies"
Artificial Intelligence in Action: In-Depth Use Cases
Crafting Real-time Data Analytics for an E-commerce Titan
In the vast expanse of the e-commerce industry, where millions of transactions occur every day, timely data insights can be the difference between success and failure.
Building a Petabyte-Scale Search Engine for a Tech Giant
A prominent tech conglomerate recognised a demand for a scalable search engine capable of indexing and retrieving petabytes of data with minimal latency.
Automating Customer Support for a Telecom Giant
A leading telecom company faced the challenge of scaling their customer support as their user base continued to grow exponentially. Manually managing customer queries became unfeasible and costly.
Unifying Financial Data Streams
A major financial institution required holistic data analytics from varied sources.
Real-Time Fraud Detection System for Leading Financial Institution
A leading financial institution required a robust fraud detection system capable of real-time monitoring of transactions
Langchain can be used to build chatbots that can interact with users in natural language. With Langchain, you can create chatbots that can understand user intent and provide appropriate responses