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Call for Technology Development Phase -3 | FY 2024-2025

1. AI-Enabled Document Formatting Software Application

We invite proposals for the development of an AI-enabled document formatting software application. This solution should streamline document formatting processes, improving efficiency and consistency. Emphasis should be placed on intuitive user interfaces, seamless integration with existing document management systems, and advanced AI algorithms for automating formatting tasks.

 2. AI-Enabled Speech and Text Inputs based Data Visualization Software Application

Proposals are sought for an AI-enabled data visualization software application capable of processing both speech and text inputs. The software should offer dynamic visualization of complex datasets, leveraging AI to interpret natural language queries and provide insightful visual representations. Integration with various data sources and compatibility with diverse output formats are essential.

 3. AI and IoT Integrated Agricultural Modules

We seek innovative proposals for AI and IoT integrated agricultural modules aimed at empowering farmers with data-driven insights. These modules should enable informed decision-making by providing real-time data on crop health, soil conditions, weather patterns, and resource utilization. Solutions should offer scalability, interoperability, and user-friendly interfaces tailored to the needs of farmers.

 4. Self-Powered Supply Water Purity Monitoring System with AI-Powered Data Analytics

We welcome proposals for the development of a self-powered supply water purity monitoring system equipped with AI-powered data analytics. This system should autonomously monitor water quality parameters in smart cities, leveraging IoT sensors for real-time data collection. Advanced AI algorithms should analyze the data to detect anomalies, predict contamination events, and optimize water treatment processes.

 5. Carbon Capture IoT Devices with AI-Powered Data Analytics for Agriculture

Proposals are invited for the creation of carbon capture IoT devices integrated with AI-powered data analytics for agriculture. These devices should monitor carbon dioxide levels in agricultural environments and employ AI algorithms to optimize carbon sequestration processes. Solutions should enhance soil fertility, mitigate climate change impacts, and improve crop yields sustainably.

 6. CybSec: Next-Gen SOC Solution

We seek proposals for a cutting-edge Next-Gen SOC solution, CybSec, integrating expert analysts, threat monitoring, and intelligence sharing with innovative AI technologies. The solution should offer agile scalability, robust service quality, and platform-based automation for Industrial IoT, ICS, and OT Security. Partnerships with Security CoEs and integration with EDR & SIEM services are encouraged.

 7. Early Fall Detection Devices

Proposals are solicited for early fall detection devices capable of identifying and alerting for help in case of falls, particularly targeting older adults and individuals with medical conditions. Solutions may include wearable devices or in-home monitoring systems utilizing sensors or cameras to detect falls and minimize false alarms while ensuring user privacy and comfort.

 8. Next-Gen Security Operation Centre Solutions

We invite proposals for Next-Gen Security Operation Centre solutions focusing on cybersecurity, AI, and ML. Solutions should be at TRL 5 or higher, offering validated technology ready for deployment in test environments and future commercial applications. Target sectors include software development corporations, start-ups, MNCs, pharma industries, and construction firms handling critical PII and patents.

Minimum and Necessary conditions:
1.   To be considered for a presentation of the technology development proposal with the evaluation committee, it is mandatory that all technology development proposals must satisfy the bare minimum requirement of TRL-4 and above.
2.    During the proposal presentation and evaluation round it is mandatory to give a live demonstration of prototype TRL4 and above to be considered for the positive evaluation. Please note that no prototype demonstration equates to a negative outcome on the review/evaluation of your proposal.
3.    The TIH will not entertain applications that do not satisfy the above criteria.
4.    Track record of the individuals in the team proposing the technology development will be given weightage.
5.    The technology development partner should be a private limited company.

-    Simply meeting the aforementioned minimum and necessary conditions does not ensure that the proposal will be selected for technology development funding.

-    TIH IIT Patna has ceased to provide grant or grant in aid. All funds allocated under this scheme will be contingent upon equity holding and revenue sharing for an embargo period of 4-5 years, with a 5-year exit clause in effect.

Communication on the status of the application will not be considered. The TIH shall communicate only with those candidates whose applications have been accepted.


Submission Guidelines: 
Interested parties are encouraged to submit comprehensive proposals addressing the outlined objectives, technological specifications, scalability, and potential societal impacts. Submissions should be sent to  no later than [13th May 2024]. For inquiries or clarifications, please contact CEO TIH.


Previous Technology Development Advertisement
Call for Technology Development Phase -2

 Applications invited for the following specific domains [ Technology Development Vertical]

1. Machine Translation Hindi and English for Judicial and legal Applications.

Details: The Machine Translation System to be based on Deep Neural Networks and should be primarily developed for English-Hindi and Hindi-English. The practice of law involves developing arguments based on the reasoning of courts in previous instances with similar circumstances. This reasoning, known as precedent, is invoked to justify a legal standpoint or discredit the opposition’s arguments. Precedent can be reinforced or dismissed by subsequent court decisions, and is therefore the fundamental point of debate in the application of the law. Consequently, it is imperative for legal practitioners to be well versed in legal precedents relevant to their area of practice, and remain up to date in their knowledge of such. The weight attributed to this information, found mainly through the study of previous cases, makes the ability to access the decisions essential. These processes are largely manual, imposing lengthy production delays on the industry. Furthermore, lawyers dedicate a significant portion of their time and energy to reading and analyzing decisions for the purposes of client representation and developing legal documents. The legal industry is marked by continuous publishing and translation cycles, large volumes of digital content and growing demand to distribute multilingual information. The capacity to administer high volumes of translation requests without delay thereby becomes imperative. India is a multilingual country with great linguistic and cultural diversities.  People speak in many different languages, and there is a growing need to make many useful information available in their own vernacular. In a large and highly populated country like India, a huge amount of legal documents are produced daily. The legal domain has continuous publishing cycles, and the growing demand for multilingual information access requires these documents to be translated into a language that the end user understands most. In that respect, the burden of granting access to these information falls on the government which must manage a continuous cycle of document translation needs. A certified translation of a legal judgment takes several months to complete.

Necessary & Essential  Requirements R&D Team:

 The research team must consist of

- A demonstrated track record of AI, ML, NLP.

- The commercial partner to be identified by TIH PET members

- The R&D team must support atleast 1 PhD student

Project Duration: 2 Years

2. AI  and IoT driven Chemical Data Analytics

Details: The project's objective is to design-

The AI and IoT Driven Software-Hardware System for Pharma 4.0 is a cutting-edge project aimed at revolutionizing pharmaceutical manufacturing through the integration of advanced artificial intelligence (AI) algorithms and Internet of Things (IoT) technologies. This project leverages the principles of Industry 4.0 to create a highly efficient, agile, and responsive pharmaceutical production environment.

Key objectives

  1. AI-Powered Predictive Maintenance

  2. Smart Manufacturing Execution System (MES)

  3. IoT-enabled Supply Chain Management

  4. Quality Control and Assurance

  5. Data Analytics and Decision Support

Necessary & Essential  Requirements R&D Team:

 The research team must consist of

- A demonstrated track record of Software integration

- A demonstrated track record of IoT hardware design expertise.

- Initial Prototype must be demonstrated during the evaluation rounds.


- TIH will provide necessary technical expertise and provide for the consultancy fee for the expert.

Necessary & Essential  Requirements Commercial Partner:

- A demonstrated track record of Hardware and IoT Development for the industries viz.- Automotive, FPGA cluster test kits, Embedded PCB Design.

- Team members must demonstrate track record of software development and Marketing expertise.

- The Software team must demonstrate the history of working with international clientele. 

Project Duration: 1.5 Years

3. Contactless Sensing for Recognizing Activities of Disabled and Elderly

Details: The aging of the world population is becoming increasingly significant. Smart environments have emerged as a prominent research domain, particularly in the realm of providing healthcare and assistive services. These environments utilize diverse sensors, actuators, and computational elements to aid inhabitants in various situations and assist them with daily activities. The objective of this project is to develop a non-contact sensor-based system for recognizing the activities of daily living (ADL) among elderly and disabled individuals during home isolation. The focus is on delivering an unobtrusive solution that eliminates the need for human intervention or wearable sensors. The project objectives are as follows: 
●    To build low-cost, energy-efficient, and plug-and-play sensor nodes for recognizing the activities of daily living. 
●    To employ deep learning-based techniques for recognizing the specific ADL being performed by the user and  identifies the location where ADL is performed. 
●    To design low-power wide area networks for energy-efficient communication, ensuring that ADL information is transferred to caregivers promptly.

Necessary & Essential  Requirements R&D Team:
The research team must consist of - 
●    A demonstrated track record in Smart Sensing, encompassing expertise in sensors, AI/ML, and communication technologies. 
●    Principal Investigator (PI)/Co-PI should possess industry experience and a proven track record of delivering work to industries. 
●    The commercial partner will be identified by TIH who has a proven track record in the hardware and software design.


Project Duration: 2 Years

All applications must be emailed to 

Last Date For Receiving Applications: 5th December 2023

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