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Grid Dynamics Holdings Inc (GDYN) delivers enterprise-grade digital transformation through cloud enablement, advanced analytics, and mission-critical engineering solutions. This news hub provides investors and technology professionals with timely updates on the company’s strategic initiatives across retail, finance, and tech sectors.
Track all official announcements including quarterly earnings, cloud partnership developments, and innovation milestones. Our curated collection ensures access to verified press releases and analysis of GDYN’s engineering projects, AWS collaborations, and industry-specific digital transformation efforts.
Discover updates on key service areas: technology consulting engagements, platform engineering breakthroughs, and DevOps optimization strategies. The repository serves as a reliable resource for monitoring the company’s progress in building secure, scalable infrastructures for global clients.
Bookmark this page for streamlined access to Grid Dynamics’ latest business developments. Check regularly for insights into how their engineering expertise continues to shape enterprise technology landscapes worldwide.
Grid Dynamics (NASDAQ:GDYN), a leader in enterprise-level digital transformation services, has scheduled its Q2 2025 earnings conference call for July 31, 2025 at 4:30 p.m. ET. The company will release its financial results via press release before the call.
Investors can access both the live video conference call and replay through the Investor Relations section of Grid Dynamics' website at griddynamics.com/investors.
Grid Dynamics Holdings (Nasdaq: GDYN), a leader in enterprise-level digital transformation services and solutions, has scheduled its first quarter 2025 financial results announcement for May 1st, 2025. The company will host a video conference call at 4:30 p.m. ET to discuss the quarterly results. The earnings press release will be published on the company's website before the call, and both the webcast and its replay will be accessible through the Investor Relations section at griddynamics.com/investors.
Grid Dynamics (Nasdaq: GDYN) has launched the IoT Control Tower, an advanced analytics platform designed for manufacturers and equipment providers. The platform enables continuous analysis of IoT data streams from production facilities and field deployments using machine learning, generative AI, and agentic AI methods.
The solution analyzes metrics from machine sensors, quality check stations, and surveillance cameras through ML models and LLM agents. AI assistants leverage corporate knowledge bases to interpret metrics, research issues, and provide guidance to manufacturing personnel.
The platform aims to:
- Reduce labor costs in manufacturing analytics
- Minimize issue response times
- Improve process efficiency
The IoT Control Tower integrates with Grid Dynamics' other smart manufacturing components, including visual process monitoring, quality control, anomaly detection, and root cause analysis, supporting the Innovation pillar of the Company's GigaCube growth strategy.
Grid Dynamics (NASDAQ: GDYN) announced key executive appointments effective April 1, 2025. Rajeev Sharma, current CTO, will become Managing Partner of APAC to drive regional expansion and strategic initiatives across Asia-Pacific. Dr. Eugene Steinberg, currently Distinguished Technical Fellow, will be promoted to Chief Technology Officer.
Under Sharma's CTO leadership since 2021, Grid Dynamics achieved over 100 AI implementations and increased partnership-driven revenue to 18% of total revenue. He was instrumental in expanding operations into India, now one of the company's top three delivery locations.
Dr. Steinberg, a founding engineer at Grid Dynamics, brings expertise in AI, machine learning, and scalable distributed systems. These appointments align with the company's GigaCube growth strategy, focusing on geo-scalability, innovation, and industry expansion.
Grid Dynamics (NASDAQ: GDYN) reported its fourth quarter and full year 2024 financial results. The company achieved Q4 revenue of $100.3 million, surpassing its October 2024 outlook of $95.0-$97.0 million and marking a 28.5% year-over-year increase. Full-year 2024 revenue reached $350.6 million, up from $312.9 million in 2023.
Key verticals included Retail (32.6% of Q4 revenue), Technology, Media, and Telecom (23.0%), and Finance (23.0%), with Finance growing 63.8% sequentially and 180.1% year-over-year. The CPG and Manufacturing vertical, contributing 11.2% of Q4 revenue, grew 14.8% sequentially and 16.4% year-over-year.
For Q4 2024, GAAP gross profit was $37.0 million (36.9% margin), Non-GAAP gross profit was $37.6 million (37.5% margin), and GAAP net income was $4.5 million ($0.05 per share). Non-GAAP net income was $10.3 million ($0.12 per share), with Non-GAAP EBITDA at $15.6 million.
Full-year 2024 saw GAAP gross profit of $127.0 million (36.2% margin) and Non-GAAP gross profit of $129.1 million (36.8% margin). GAAP net income was $4.0 million ($0.05 per share), while Non-GAAP net income was $37.2 million ($0.47 per share). Non-GAAP EBITDA reached $52.5 million.
For Q1 2025, the company expects revenues of $98.0-$100.0 million and Non-GAAP EBITDA of $12.9-$13.9 million. Full-year 2025 revenue is projected at $415.0-$435.0 million, representing 18.4%-24.1% growth.
Grid Dynamics Holdings (Nasdaq: GDYN) has launched a Visual Process Monitoring starter kit designed to streamline the development of edge video analytics solutions. The framework leverages vision-language models (VLMs) to enable rapid development of monitoring workflows for tracking moving objects and evaluating behavior patterns.
The solution aims to reduce costs and complexity in visual analytics projects by replacing traditional computer vision approaches with VLM-centric design. Applications include safety monitoring, labor productivity analysis, order packaging verification, and other use cases in manufacturing and logistics settings.
The starter kit addresses challenges in developing computer vision solutions by providing a zero-shot framework, eliminating the need for extensive training data collection and manual labeling. This technology can be applied across various scenarios including shelf space optimization in retail, workforce management in restaurants, and quality control in manufacturing operations.