Engineering-First Culture:
Engineering excellence is at the heart of our innovation. As a leading technology solutions company, we deliver intelligent solutions that evolve with your business needs by combining disciplined principles, modern retail technology, and speed.
The Foundation of Our Engineering-First Culture
Engineering Tomorrow’s Innovations, Today
Technology innovation isn’t an option—it’s embedded into our DNA. It drives our growth, sharpens our competitive edge, and enables us to reshape industries. As a retail technology solutions company, we take a structured approach to developing and deploying groundbreaking technology in retail industry—leveraging AI in retail, advanced automation, and Agentic AI to solve challenges, unlock opportunities, and redefine possibilities for our clients. Our AI Agents drive autonomous decision-making, adapting dynamically to complex retail scenarios and ensuring smarter, faster, and more efficient operations.
- Agile teams drive rapid, impactful innovation.
- A three-horizon roadmap ensures current focus and future readiness.
- AI, Cloud, and R&D investments power breakthroughs.
- AI Agents enhance adaptability, automation, and decision intelligence.
- Academic partnerships fuel a dynamic innovation ecosystem.
Powering Business Transformation with Cutting-Edge Retail Technology
Our retail technology solutions are not just about innovation; they deliver tangible results that drive business transformation and set new industry standards.
Transforming Operations
We integrate AI in retail to automate workflows, optimize processes, and deliver measurable efficiencies.
Ensuring Data Security
With five-pillar security frameworks, we safeguard systems, ensuring data privacy and resilience against cyber threats.
AI-Native Decisions
By leveraging computer vision, NLP, and optimization models, we empower enterprises to transform data into precise, automated decisions.
Pioneering Innovation
From deploying transformer-based deep neural networks in retail to redefining enterprise software, we lead technological evolution.
What Sets Our Technology Apart
Engineering intelligence that transforms data, automates decisions and drives scalable business growth.
Multi-Cloud
Expertise
Seamless integration across GCP, Azure, AWS, and enterprise systems like SAP and Oracle.
AI-Native Data
Processing
Automated data cleaning, transformation, and validation to ensure accuracy and consistency.
Enterprise-Grade Agentic Ecosystem
Autonomous AI agents that analyze data, generate insights, and take intelligent actions.
Retail-Specific
Data Platform
Massively parallel, highly secure retail technology infrastructure designed for intelligence.
AI-Driven Decision
Automation
Computer vision, NLP, and optimization models to power real-time, intelligent decisions.
Advanced Machine
Learning
Feature engineering, predictive modeling, and MLOps for scalable AI-native insights.
Our Technology Experts
Meet a few of the minds behind our AI-native innovations—part of a broader team of tech leaders driving real-world impact.
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Pradeep is a Lead Software Engineer at Impact Analytics, specializing in building advanced solutions that drive business efficiency. With years of experience in software development, he has played a key role in developing and optimizing high-performance applications. He holds a B.Tech in Electronics and Communication from Manipal Institute of Technology, bringing a strong technical foundation to his expertise in cutting-edge technologies.
Pradeep Nayak, Lead Software Engineer
Divya is a Project Leader at Impact Analytics, specializing in AI Research and MLOps. With expertise in computer vision, deep learning, and mobility solutions, she drives innovation in AI-powered analytics. As an IT graduate from SRM University, she has led critical AI initiatives, shaping advanced solutions. Her strong technical acumen and strategic approach ensure cutting-edge AI Advancements, helping businesses unlock smarter, data-driven decisions.
Divya G.K, Project Leader
Anshuman Patnaik is a Product Architect at Impact Analytics with 12+ years of experience in AI, software engineering, and Azure DevOps. He holds a Master's in Computer Science from IIIT Bhubaneswar. Specializing in AI-driven solutions and scalable cloud technologies, he is passionate about integrating AI into enterprise systems to drive real impact.
Anshuman Patnaik, Product Architect
Hrishikesh is a Data Science Lead at Impact Analytics specializing in AI-driven optimization. He enhances network performance, supply chain logistics, and production planning. With past roles at EY, Ramco Systems, and White Data Systems, he has driven cost-efficient models of capacity planning in FMCG, manufacturing, and logistics. An IIT Kharagpur alumnus, he excels in MIP modeling, predictive analytics, and decision science.
Hrishikesh Jainak, Data Science Lead
Raj Mohan is a Principal Software Engineer at Impact Analytics, bringing over 8 years of experience in software development. He has led engineering teams in building scalable solutions, previously working at Accenture and Infosys. Passionate about driving innovation, Raj has played a key role in optimizing AI-powered products. With expertise in cloud computing and backend development, he thrives on solving complex challenges that push the boundaries of technology.
Raj Mohan B, Principal Software Engineer
Arun Thamma is a Lead Software Engineer at Impact Analytics with expertise in full-stack development, test frameworks, and web application development. Proficient in Python, JavaScript, SQL, and statistical data analysis, he specializes in building scalable solutions using VueJS, Django-REST, and PostgreSQL. With hands-on experience in Docker and Kubernetes, Arun excels at designing and deploying robust applications while solving complex production and development challenges.
Arun Thamma, Lead Software Engineer
Pradeep Chandra Kavuri is a Lead DevOps Engineer at Impact Analytics with 6+ years of experience in CI/CD, SCM, and cloud infrastructure. Skilled in Kubernetes, OpenShift, Azure DevOps, and GCP, he excels at automating workflows, managing deployments, and building scalable systems. Pradeep is known for resolving complex challenges with precision and improving efficiency across DevOps processes.
