STPI invites Tender under Two Bid Systems (Technical Bid & Commercial Bid) for Supply, Installation, Testing, Commissioning and Training of Network Devices - Routers, LAYER-3
Switches and LAYER-2 Switches at various STPI Locations as mentioned in the Annexure-A of the RFP document.
To develop Hardware Implementation of zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) Algorithm modules: Quotient Polynomial h(x) amd MSM using Pippenger Algorithm.
A zero-knowledge proof (ZKP) is a protocol in which one party (the prover) can convince another party (the verifier) that some given statement is true, without conveying to the verifier any information beyond the mere fact of that statement’s truth.
Types of Zero Knowledge Proofs:
1. Interactive Zero-Knowledge Proof (IZKP):
Require multiple rounds of communication between prover and verifier.
2. Non-Interactive Zero-Knowledge Proof (NIZKP):
NIZKPs allow the prover to generate a single proof that can be verified by anyone without further interaction. i.e., the verifier can independently check its validity using the same proof. Ex: zk-SNARKs and zk-STARK.
NIZKPs are more scalable and efficient for block chain and other decentralized applications due to their single-round communication pattern.
ZK-SNARK is abbreviated as “Zero-Knowledge Succinct Non-Interactive Argument of Knowledge.”
1. Zero-Knowledge: Prover can prove that he knows something without revealing the actual information.
2. Succinct: The proof is short and efficient, meaning it doesn’t take up much space or require much time to verify.
3. Non-Interactive: ZK-SNARKs work with a single message from the prover to the verifier.
4. Argument of Knowledge: This ensures that the prover genuinely knows the information they claim to know and isn’t bluffing or using fake data.
Generating ZK-SNARK proofs requires significant computational resources. While verification is fast, the proof generation process can be slow and resource-intensive, particularly for large or complex computations. Proof generation in zk-SNARKs consumes approximately 90% of total computation time, primarily due to two critical operations:
• Multi-scalar Multiplication (MSM): Dominates computational workload (approx. 70% of proof generation time) requiring intensive elliptic curve operations.
• Number Theoretic Transform (NTT): Creates substantial memory pressure due to large-scale polynomial computations with high-bitwidth operand.
Scope:
The scope of this project is to implement the Following modules:
1. Quotient Polynomial h(x) generation module on FPGAs, which takes the input from Trusted setup of zk-SNARKs and provides the polynomial h(x).
2. MSM module with Pippenger Algorithm.
Shall perform Performance testing and integration of these modules with C-DOT developed modules and/or third party HW/SW modules to realize the ZKP system.
Expected Outcome:
1. Quotient Polynomial generation module of Proof generation in Zk-SNARK.
2. MSM module with Pippenger Algorithm.
3. Integration with Trusted Setup and other modules of zk-SNARKs system.
Deliverables:
1. Test bench and Simulation results of the modules.
2. Test reports
Support for Technical clarification during the Integration.
Interested Startup may submit the pitch deck comprising of following:
Problem being solved
Market opportunity for product
Proposed solution/ Defining product
Value proposition
Technology details
Competition analysis
Founding Team Composition
DPIIT Registration (Mandatory)
Start-up stage status
Current ownership
Business model and innovation
C-DOT
STPI
Design and implement a high-speed, line-of-sight Light Fidelity (LiFi) communication system that is compliant with ITU-T G.9991 and G.9960 standards. The system must utilize a Laser Diode for optical data transmission and a Photo Diode for reception. The complete system should be built around Raspberry Pi (RPi) platforms, such that one RPi transmits Ethernet data via LiFi and another RPi receives it and outputs it back through Ethernet. The solution should include hardware interfacing, embedded code, and real-time data transmission capabilities.
LiFi is an emerging wireless communication technology that offers high data rates using visible or infrared light instead of traditional radio waves. ITU-T G.9991 and G.9960 standards define physical and data link layer specifications for optical wireless communications, ensuring interoperability and performance benchmarks. The need for secure, interference-free, and high-throughput short-range communication systems motivates the development of this LiFi prototype. Raspberry Pi-based implementation enables low-cost deployment, rapid prototyping, and integration with existing Ethernet-based infrastructure, making this system suitable for smart environments, IoT networks, or secure indoor communication.
The system should consist of two main units:
Transmitter Unit (RPi1-based):
· Accepts Ethernet data input.
· Processes and encodes the data in compliance with ITU-T G.9991/G.9960.
· Transmits data using a Laser Diode through LiFi.
· May require custom driver circuitry and signal modulation hardware.
Receiver Unit (RPi2-based):
· Receives LiFi signal via Photo Diode.
· Decodes and processes the data.
· Outputs the recovered data via Ethernet.
· May include signal conditioning, demodulation, and synchronization logic.
Scope includes:
· Implementing physical layer modulation compatible with ITU-T G.9991 (e.g., OOK, PAM).
· Timing synchronization and error correction as per ITU-T G.9960 MAC layer.
· Design and fabrication of interface hardware (signal amplification, ADC/DAC if needed).
Developing low-level and high-level software for RPi to handle data I/O and optical signalling.
Functional Prototype:
A working LiFi system using RPi units and custom hardware to support real-time Ethernet-to-Ethernet communication over a laser-based optical link.
Hardware Designs:
Schematic and PCB design files of the interfacing board connecting the Laser Diode and Photo Diode to Raspberry Pi GPIO or SPI/I2C/UART interfaces.
Firmware and Software:
Source code running on the RPi, implementing ITU-T compliant modulation/demodulation and data handling.
Documentation:
· System architecture and design report.
· Setup and deployment instructions.
· Performance metrics (data rate, error rate, range, latency).
Demonstration:
A test scenario showing successful transmission of a file or streaming data (e.g., video, text) from RPi1 to RPi2 over the optical LiFi link.
Interested Startup may submit the pitch deck comprising of following:
Problem being solved
Market opportunity for product
Proposed solution/ Defining product
Value proposition
Technology details
Competition analysis
Founding Team Composition
DPIIT Registration (Mandatory)
Start-up stage status
Current ownership
Business model and innovation
C-DOT
STPI
To develop a secure, modular, and intelligent payload handling mechanism for drones that:
· Holds payloads during flight securely.
· Autonomously attaches/detaches the payload at precise locations.
· Allows reusability, swappable payloads, and remote control.
Unmanned Aerial Vehicles (UAVs) are increasingly used to carry and deploy payloads in hard-to-reach or high-risk areas. However, most current drone systems either drop payloads blindly or require human intervention. For critical missions, like placing communication nodes for rescue teams or deploying medical kits, precision placement and secure payload handling are essential.
A modular, autonomous payload holding and positioning system allows drones to:
Securely carry mission-critical payloads.
Navigate and evaluate the best placement spot using onboard sensors.
Align precisely.
Safely and intelligently release the payload at the optimal location.
Traditional drones lack:
Secure payload interface: Manual or fixed locking systems can't adapt to different payloads.
Environmental awareness: They can’t identify optimal placement zones in real time.
Adaptive release control: They either drop payloads at fixed GPS points or under manual control.
This system should provide modular, intelligent, and automated payload deployment, significantly enhancing operational efficiency and safety in critical scenarios.
A. Mechanical Subsystem (Payload Holding)
Attachable and Detachable Mechanism
Servo-controlled latch, electromagnetic hook, or mechanical clamp
Modular Payload Mount
Universal attachment points with guided locking rails or pins
Lightweight, Rugged Design
Carbon fiber or reinforced polymer frame
B. Autonomous Positioning Subsystem
High-Precision Navigation
RTK-GNSS + IMU Fusion for centimeter-level accuracy
Terrain/Zone Analysis
Downward-facing camera, LIDAR, or IR sensor to detect suitable surfaces
Decision-Making Algorithm
AI model selects best drop point (e.g., flat ground, signal-optimized location)
C. Control Release Subsystem
Microcontroller-Based Controller
Interfaces with flight controller (via MAVLink, UART, or I²C)
Release Trigger
Based on GPS, visual cue, terrain match, or remote command
Feedback Loop
Confirms payload lock/unlock status, logs telemetry
1. Fully Integrated Drone Payload Handling System
A functional drone system that:
Securely holds, transports, and releases a payload.
Autonomously navigates and aligns over optimal placement locations.
Reliably performs precision placement of payloads based on environmental analysis.
2. Modular Payload Mount with Smart Locking Mechanism
Mechanical or electromechanical attach/detach mechanism (e.g., servo latch, magnetic clamp, or winch).
Feedback sensors to confirm lock and release states.
Modular design supporting various payload shapes and sizes.
3. Autonomous Positioning and Site Selection Capability
Onboard sensors (camera, LiDAR, RTK-GPS, IMU) for environment perception.
AI or rule-based logic for terrain analysis and optimal location selection.
Ability to avoid obstacles and adjust in real time based on local features (e.g., flatness, line-of-sight, proximity to target).
4. Real-Time Control and Feedback Loop
Payload controller that:
Interfaces with flight controller and sensors.
Executes release commands.
Sends real-time feedback (locked/unlocked, success/failure).
Telemetry/logging of payload deployment (timestamp, GPS, altitude, placement status).
5. Mission Automation and Repeatability
Drone can autonomously:
Identify target zone.
Execute drop.
Log status and return for the next payload.
Supports multi-drone coordination or swarm-based deployment scenarios.
6. Demonstration Scenario / Prototype Test
Live field test or simulation showcasing:
Autonomous flight to a GPS-defined zone.
Visual or terrain-based landing site selection.
Payload release onto a predefined surface (e.g., rooftop or marked area).
Confirmation of successful drop with onboard camera or sensor.
7. Documentation and Performance Metrics
System block diagrams, control flow, and mechanical design documentation.
Evaluation of performance under:
Varying terrain and weather.
Different payload weights.
GPS-available vs GPS-denied environments.
Key metrics:
Payload placement accuracy (cm-level)
Release success rate (%)
System latency (ms)
Mission success/failure cases
8. Scalable Framework for Other Applications
The developed system can be extended to:
Sensor deployment in remote monitoring (e.g., forest, volcano, radiation zone).
Delivery of relief items (medical, food, tools).
Temporary installation of telecom relays or surveillance equipment.
Tactical deployment in defense or border patrol operations.
Interested Startup may submit the pitch deck comprising of following:
Problem being solved
Market opportunity for product
Proposed solution/ Defining product
Value proposition
Technology details
Competition analysis
Founding Team Composition
DPIIT Registration (Mandatory)
Start-up stage status
Current ownership
Business model and innovation
C-DOT
STPI
FinBlue PitchFest 2025 – Applications Now Open!
Are you building the next big thing in FinTech? This is your moment to scale up with India's premier FinTech startup accelerator — FinBlue.
FinBlue is a national initiative by STPI, developed in partnership with MeitY-Government of India, ELCOT- Government of Tamil Nadu, Academic institutions like IIT Madras and Private Industry collaborations like Intellect Design Arena Ltd., BNY Mellon, TransUnion CIBIL, etc, providing a full-spectrum support system for FinTech startups through infrastructure, funding access, mentorship and technology enablement.
The Finblue program has been designed to foster innovation, improve financial access and enable the development of impactful FinTech solutions that align with India’s Digital India and Financial Inclusion missions solving real-world problems.
Eligibility Criteria
1. The start-up must be incorporated as a Private Limited Company (as defined in the Companies Act, 2013).
2. The date of registration/incorporation must not be beyond 10 years and fit the legal definition of an Indian startup with 51% ownership by Indian Citizen.
3. Individual Academicians, Researchers, Educators, Entrepreneurs, partnership firms, LLPs may also participate, however, if they are selected then they will have to register as private limited company in a stipulated time (preferably within 3 months) DPITT Registration
4. Start-up should have an annual turnover not exceeding Rs. 100 crore for any of the financial years since its incorporation.
5. Entity should not have been formed by splitting up or reconstructing an already existing business or subsidiary of foreign entity
6. Entity working towards innovation, development or improvement of products, processes or services or if it is a scalable business model with high potential of employment generation or wealth creation
💡 We’re inviting FinTech startups (Early to Growth Stage) working on:
Digital Lending Payments
RegTech, InsurTech, WealthTech
Embedded Finance, AI/ML for BFSI
Blockchain, Compliance Tech, Open Banking
Cross-Border Payments
💰 Seed Funding Support upto Rs. 25 lakhs Financial Assistance Grant upto Rs.2.5 lakhs.
🔐 Access to Secure Sandbox Environment
💺 Plug Play Infrastructure with co-working seats
🤝 Direct Connects with VCs, Angels BFSI Leaders
🧠 Mentorship from Domain Experts Policy Advisors
📈 Pitch Opportunities and GTM Strategy Support
🏛️ Ecosystem Backing from STPI, MeitY Tamil Nadu Govt
📩 For queries: finblue[at]stpi[dot]in
Join 60+ FinTech startups already supported by FinBlue with over ₹2500 Cr in combined valuation.
Let’s shape the future of financial innovation, together.
Evaluation (Initial Shortlisting) by Selection/Evaluation Committee (Expert Panel)
Pitching before an Expert Panel
8–10 min pitch + Q A per startup
Evaluation in real time
Criteria/Metrics
Product/R D Innovation
Years since establishment
Team size/strength
PoC/IPR readiness
Founding team quality
Problem-solution fit
Execution capability, GTM, Traction, Revenue
Closure Pre-Finalization (End August)
Internal checks document compliance
Final shortlist for Pitching before Advisory Board
Advisory Board - PMG Pitching Day
PMG Meeting Schedule (tentative - before 10th Sept 2025)
Final Pitch to FinBlue Advisory Board / PMG
8–10 min pitch + Q A per startup
Evaluation in real time
The IndiaAI Mission, under the aegis of the Ministry of Electronics and Information Technology (MeitY), is proud to announce the Cancer AI & Technology Challenge (CATCH) - a joint innovation grant program in partnership with the National Cancer Grid (NCG).
CATCH aims to fast-track the validation and deployment of AI solutions across the cancer care continuum in India. Through this unique public-health-tech partnership, the program seeks to unlock real-world impact by enabling AI-powered screening, diagnostics, treatment decision support, patient engagement, and hospital operations optimization across the NCG hospital network.
The Cancer AI & Technology Challenge (CATCH) is a competitive grant program that invites joint applications from healthcare technology innovators and clinical institutions to pilot and validate AI-based solutions addressing priority use cases in oncology.
Selected proposals will receive milestone-based pilot funding up to ₹50 lakhs, mentorship support, access to clinical validation sites, and the opportunity to scale across the NCG network and IndiaAI-supported public channels.
Date: June 11, 2025
STPI celebrates 34 years of driving India’s digital growth with 67 centres, 24 startup CoEs, and ₹10 lakh crore in IT exports. Empowering startups and decentralising tech innovation, STPI anchors inclusive growth and a digitally empowered future.
Software Technology Parks of India (STPI) marked its 34th Foundation Day, celebrating a legacy of driving India’s digital transformation and software export growth since its inception in 1991.
From its humble beginnings with three centres, STPI now operates 67 centres nationwide—59 of which are in Tier-II and Tier-III cities—playing a crucial role in decentralising the IT industry and promoting inclusive development.
Beyond exports, STPI has emerged as a powerhouse for startup incubation through 24 Centres of Entrepreneurship (CoEs), five Tier-3 data centres, and initiatives like the Next Generation Incubation Scheme (NGIS), BPO Promotion Scheme, and SAYUJ – a startup community network.
The organisation has also enabled the creation of over 2,205 products and facilitated 1,086 IPR filings. STPI’s 17 lakh sq. ft. of workspaces—featuring plug & play offices, labs, and shared amenities—support innovation and tech-driven enterprises nationwide.
From boosting IT/ITeS exports to empowering startups and fostering digital inclusion, STPI continues to anchor India’s innovation journey with a firm commitment to equitable growth and a digitally empowered future.
Speaking on the occasion, Arvind Kumar, director general, STPI, said: “Today is a proud moment for STPI. STPI started its journey with three centres, and at that time, the IT industry was at a nascent stage. Now, STPI has 67 centres across the country and these centres have played a vital role in transforming the IT industry. In 2024-25, the exports done by STPI registered units have reached to more than Rs 10 lakh crores. Aligned with the mandate of the Government of India, STPI is working for the dispersal of the IT industry to Tier-II & Tier-III cities of the country for inclusive growth. Also, STPI is nurturing the tech startup ecosystem across India through its 24 Centres of Entrepreneurship (CoEs) and NGIS and supported more than 1400 startups. Startups empowered through the STPI ecosystem have raised funds of Rs. 574 crores from investors so far.
Employment Notice No. 2(1)/I/STPI-HQ/2024-2025 dated 16/11/2024
Click Here for the screening status for the post of Senior Administrative Officer (A-VII)
Online applications are invited from the eligible candidates for the following positions:
The employment will be purely on a contractual basis & location of posting will be STPI-HQ, New Delhi.
Refer to the advertisement for more details.
