Exploration and Feasibility Study
In Niyata, we provide AI driven technology consulting and solutions to empower the business. Discover new opportunities and develop a sustainable data driven culture with us, to gain valuable business insights and optimize the production pipeline with ease and efficiency.
Exploration and Feasibility Study
Solution Prototyping
Integrating ML Pipeline for continuous delivery and production deployment
Maintenance and Improvisation
We build AI Infrastructures based on the customer specific needs.
Managing Infrastructure with data-intensive AI workloads with low-latency, high data security and efficient costs have been very challenging. Niyata provides the solution from these and helps business to create and maintain infrastructure within weeks to months.
Data Audit from our expert team.
Data Transformation and Cloud Delivery Pipeline.
Cloud Transformation and Minimal ML Architecture Design.
Achieving Infra-based Operational Efficiency
Deploying a Full Phase Architecture with auto scaling.
Support and Guidance.
In this platform you can receive, store, process, visualize, analyze and gain insights from your data, that can be transformed into reports with no code Infrastructure.
The nature of the platform is dynamic and pre-built with all features and AI plug and play Libraries
Upload your Data
Manipulate your data for Processing
Select the ML Model for Training
Initiate the ML Pipeline
View results in personalized dashboard
Automate reports and Insights via Restful Services
We provide ML Test Automation tool developed for automating the testing in industrial process using image processing and deep learning ml algorithms. This tool is designed to be flexible to adopt for multiple environments.
This improved testing automation tool helps in reducing manual effort, increasing test coverage, and improving test accuracy.
Unit Testing: Testing individual components or modules of the control system in isolation.
Regressive Testing: Running a suite of tests to verify that changes to the control system do not introduce new bugs or cause existing ones.
Predictive Maintenance: Predict when maintenance or replacement of components may be required by dynamic system behavior testing of components.
Our NLP based AI algorithm, able to scrap relevant content from multiple sources and create a data lake to analyze the sentiment over the content without bias, to deliver the overall responses for a product or a service
This tool used by Service providers, Product OEMS to get the overall response of the product or service throughout the world. This intuitive sentiment report helps to create better designs and decisions for the enterprise.
Input the product name or service name
Our Web scraper engine, will search for the product or service and extract the information, comments and queries from all websites, then update in our data lake
Our sentiment engine, will classify the contents and their emotions.
The report will be generated, that provides the statistical count on each classification and graph on sentiments of each classification of content.
This is the video surveillance to the next step towards AI, Our Algorithm can process the CCTV feeds to understand the regular patterns and detect anomaly that are intuitive to human, then alert the management immediately.
The algorithm can fetch events, detect objects with specifications and able to ask questions that, our AI Algorithm can answer by processing the video.
Integrate your surveillance network to our On-Premises Inference Engine.
Auto-Pilot Mode can analyze the feed live and send the alerts, if any abnormal or threating activities captured, to your phone and email.
You can chat with the system and extract specific piece of information from the video. This is done by advanced AI Video analytics engine and NLP Engine.
Transparency: The AI algorithms and decision-making processes we build, will be transparent and explainable, allowing users to understand how decisions are being made.
Fairness and Bias Detection: The AI platform that are built will be designed and tested to detect and prevent discrimination and bias in decision-making processes.
Data Privacy: We work to deliver platforms that implement strong data privacy measures to protect user information and prevent unauthorized access or misuse.
Security: We are building MLOPS infra that supports robust security measures to prevent hacking, tampering, and other security threats.
Regulation and Compliance: Platforms we are building for customers will comply with relevant laws and regulations, such as data protection laws, to ensure that it is being used ethically and responsibly.
Auto Verification: We perform Independent internal audits and evaluations that helps to build trust by demonstrating that the AI platform is operating as intended and meeting its performance and quality standards.
