𝗠𝗼𝗱𝗲𝗹𝘀 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝘁𝗵𝗲 𝗰𝗼𝗻𝘁𝗲𝘅𝘁. At AWS Data & AI Day - Bangalore, we showed what happens when you close the gap. We spent a morning unpacking what modern AI workloads actually demand from the data layer and what it takes to get there. Baidyanath Bose set the stage with a practical look at what AI workloads demand today from Vector DBs and RAG pipelines to MCP Servers and why these are quickly becoming core building blocks of the modern data stack. Niranjan Ravi went deep on RDS, Aurora, ElastiCache, and Valkey, purpose-built databases for modern AI workloads, highlighting how the right caching strategies can reduce latency, improve resilience, optimize costs, and help AI agents and applications scale with confidence. Bhuvanesh R. closed with a question many engineering leaders face: How do you modernize legacy and cross-DB platforms without turning migration into a 12-month nightmare? The DBMIQ Accelerator demonstrated a more practical path to a modern data architecture. None of this would have come together without Sakshi Bholowalia, Anjali Pandey, 𝗮𝗻𝗱 𝗟𝗮𝘃𝗮𝗻𝘆𝗮 𝗖𝗵𝗮𝗻𝗱𝗿𝗮𝘀𝗲𝗸𝗮𝗿𝗮𝗻 from Amazon Web Services (AWS). Grateful for the partnership. If you were in the room and want to keep the conversation going or if you're evaluating database modernization and migration and want to see DBMIQ in action, we're here. 👉 https://zcmp.in/1Vtg sriram santhanam, Goutam Kurumella, Yogesh Lele, Biswajit Das, Bala Vignan Madanu, Vaibhav Golatkar, Ganesh Sawhney, Nikhil Sharma, Manisha Sharma, Srinivas T K, Sriram Kuravi, Arun Kumar, Bhuvanesh R., Bala Vignesh, Nirmal Prabhu, Madhusudhan Narayan, Velmurugan S, V Kiran Kumar, Balamurugan Anbumozhi, Manoj A, Dhivahar P
ShellKode
Software Development
Bangalore, Karnataka 12,452 followers
Engineering enterprise AI outcomes, from data to business impact.
About us
ShellKode is an Enterprise AI Outcome Engineering Company. We engineer and own the journey from enterprise data and AI to operational, economical, and accountable business outcomes. We work with regulated and operationally complex enterprises where AI must perform inside real business workflows, not stop at a pilot. Our domain owners translate business goals into end-to-end workflows, decision rights, controls, and measurable outcome definitions. Our AI Research Engineering teams evaluate frontier and open-source models, agent architectures, inference approaches, model performance, and AI economics. ShellKode Engineering then takes those designs from foundation to production, modernizing data, cloud, applications and databases, building Generative AI and agentic systems; integrating them into enterprise operations and governing and continuously improving them after go-live. Our engineering is future-compatible: cloud-aligned, model-flexible, open-source capable and designed to evolve as models, regulations, channels and economics change. Where appropriate, we align commercial models to accepted outcomes, so success is measured by business performance not only engineering effort, deployments or tokens consumed. We work across Banking, Insurance, Capital Markets, Retail & Consumer, Manufacturing & Logistics, and Healthcare & Life Sciences. Our portfolio includes: ShellKode Engineering: Enterprise transformation and production ownership. Sahaa: Governed, end-to-end agentic workflows for banking and insurance. LattAIce: AI economics and assurance across models and agents. Ripent: GTM intelligence and execution that turns intelligence into revenue. DataMIQ and DBMIQ: Accelerators for data and database modernization. We work across AWS, OpenAI, Anthropic, Meta, Snowflake, Databricks and open-source AI ecosystems, while remaining accountable for architecture, integration, adoption, operations and measurable outcomes. Data to Intelligence. Intelligence to Action.
- Website
-
https://shellkode.com
External link for ShellKode
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Bangalore, Karnataka
- Type
- Privately Held
- Founded
- 2022
- Specialties
- Enterprise AI Outcome Engineering, AI Research Engineering, Agentic AI, Generative AI, AI Agent Engineering, OpenAI & Anthropic AI Engineering, Open-Source AI, AI Inference Engineering, Model Evaluation & Observability, AWS Cloud & AI Engineering, Data & AI Platforms, Data Modernization, Cloud & Application Modernization, Database Modernization, AI Governance & Economics, AI Operations, Banking & Financial Services AI, Insurance AI, Retail & Consumer AI, Manufacturing & Logistics AI, and Healthcare & Life Sciences AI
Locations
-
Primary
Get directions
Bangalore, Karnataka 560043, IN
-
Get directions
Trichy Road
Reliance Garden
Coimbatore South, Tamil Nadu, IN
-
Get directions
Kuala Lumpur, Kuala Lumpur 59200, MY
-
Get directions
San Francisco, San Francisco CA 94110, US
Employees at ShellKode
Updates
-
𝗪𝗲 𝗶𝗻𝘃𝗶𝘁𝗲𝗱 𝟭𝟱 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱'𝘀 𝘁𝗼𝗽 𝟭𝟬𝟬 𝗿𝗲𝘁𝗮𝗶𝗹 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗯𝗿𝗮𝗻𝗱𝘀 𝘁𝗼 𝗮 𝗰𝗹𝗼𝘀𝗲𝗱 𝘁𝗮𝗯𝗹𝗲 𝗮𝘁 𝗦𝗶𝗻𝗴𝗮𝗽𝗼𝗿𝗲 No stage. No slides. No recordings. One question to anchor the evening: What does AI at enterprise scale look like when your operating reality spans six regulatory regimes, four languages, and consumer behaviors that shift by city, not by country? That's the ASEAN problem. And it's why the global playbooks don't land cleanly here. The leaders around this table, CIOs, Heads of GenAI, VPs of Data & AI from brands like Adidas and others of equal weight aren't short on ambition or budget. What they're navigating is complexity that no single model or framework was designed to absorb. Multi-market governance. Localisation at the orchestration layer. Intelligence that respects jurisdictional boundaries while still moving at the speed of a unified brand. That's not a tooling problem. That's an engineering problem. And it's exactly the kind Shellkode was built to solve. We brought AWS and ClickHouse to the table not as sponsors, but as co-architects of what a regional AI operating layer looks like when you design it for reality, not for a demo environment built in one geography. The energy in the room confirmed something we've believed for a while: ASEAN doesn't need another AI framework imported from the West. It needs engineering that's native to how this region actually operates. We'll convene this table again. Let's connect! https://lnkd.in/gVRJj_2W A special thanks to Derk van Ogtrop, Santanu Chattopadhyay, Bala Vignesh for sharing invaluable insights, and to SiShuo Y., Nikhita Menon for their thoughtful participation. Thank you to Amazon Web Services (AWS) and ClickHouse partners in building, not just presenting. Samuel B. Harris, Neha Mittal, Pandurang Nayak, Shoaib Khalil, Daniel Ding, Veronica Wei, Angela Xu, Ajinkya Jahagirdar, Ghazanfar Iqbal, Mohamed Yasin, Arun Kumar, Bhuvanesh R., Bakrudeen K, Velmurugan S, Nirmal Prabhu, Madhusudhan Narayan #AgenticAI #AIinRetail #RetailTech #AWS #ClickHouse #Shellkode #Singapore #SoutheastAsia #DataStrategy #DigitalTransformation #AITransformation #ASEAN
-
-
ShellKode reposted this
Questions around AI are changing every day. As enterprises move deeper into AI, AI economics is taking centre stage. ShellKode and OpenAI I are partnering to help enterprises answer a critical question: How can every dollar spent on AI drive measurable business value? During my recent visit to the U.S, I had the opportunity to spend time with Nitin Bawankule and Neelesh Sadawarte. Much of our discussion was around what it actually takes for enterprises to move from access to frontier intelligence to meaningful adoption within an economically sustainable operating model. Frontier intelligence is not the finish line. It needs to connect with enterprise data, applications and business processes. It has to operate within security and governance requirements. Most importantly, enterprises need to know whether it is creating an outcome worth the cost. That is where I see ShellKode playing a pivotal role. 🧠 OpenAI brings the intelligence. ⚙️ ShellKode brings the enterprise context, integration and production execution. 📊 LattAIce helps measure and improve the cost, quality and resilience of those AI outcomes. The question we keep coming back to internally is simple: How do we deliver the best possible customer outcomes in the most economically responsible way? Thank you Nitin Bawankule and Neelesh Sadawarte, for the deep insights that are helping us shape our approach for the future. Neha Yadav Yashas Abbimutt Jagadeesh Sidharth Sharma Raghav Gandotra Vivekdeep Gupta Bhuvanesh R.huvanesh R. Bala Vignesh Abdul Waheed #OpenAI #ShellKode #EnterpriseAI #AIEconomics #AIOutcomes #tokenEconomics
-
-
𝗙𝗿𝗲𝗲𝗱𝗼𝗺 𝘁𝗼 𝗶𝗺𝗮𝗴𝗶𝗻𝗲. 𝗙𝗿𝗲𝗲𝗱𝗼𝗺 𝘁𝗼 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗲. 𝗙𝗿𝗲𝗲𝗱𝗼𝗺 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱. Celebrating the spirit of freedom, unity, and the remarkable journey of our nation. Wishing everyone a proud and joyful Independence Day from Team Shellkode! #IndependenceDay #80YearsOfIndependence #India #JaiHind #ShellKode
-
-
𝗗𝗡𝗕𝘀 𝗮𝗻𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗿𝗲𝘁𝗮𝗶𝗹𝗲𝗿𝘀 𝗮𝗿𝗲 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝘁𝘄𝗼 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀. Retail is moving toward an agentic future but not from the same starting point. For digital native businesses, the question is no longer Can we build agents? It is, Can we operate them economically at scale? Model routing. Token and inference costs. Performance, quality and governance. Cost per business outcome. This is the problem space LattAIce is designed to address. For enterprise and omnichannel retailers, the challenge is different. Agents are entering production, but intelligence often remains concentrated within a few teams and use cases. The next unlock is agentic democratisation bringing governed intelligence into merchandising, supply chain, store operations, finance, customer service and every business workflow. That requires more than another copilot. It requires trusted data, enterprise context, orchestration, integration, guardrails, and accountability. We engineer the system around the intelligence, not just the intelligence itself. That was the thinking behind the Future Operating System for Retail showcased at the ShellKode booth at 𝗔𝗪𝗦 𝗥𝗲𝘁𝗮𝗶𝗹 𝗥𝗼𝗼𝗺 𝟮𝟬𝟮𝟲. A memorable conversation with Anatindra Roy of Landmark Group reinforced what enterprise-scale agentification will truly require. Thank you to Amazon Web Services (AWS) and the AWS Retail team for bringing the industry together. The future will not belong to those deploying the most agents but to those making intelligence pervasive, dependable and economically sustainable. Let's connect: https://lnkd.in/gGRzjdpz Rajeev Singh, Satinder Singh, Jasjeet Singh, Praveen Sridhar, Biswajit Das, prashant chaturvedi, sriram santhanam, Yogesh Lele, Milind Pande, Neha Sobti, Ankit Kumar Gupta, Harsh Chawla, Hari Raghavan, B.A. Naveen, Gaurav Rohatgi, Nikhil Sharma, Goutam Kurumella, Srinivas T K, Sriram Kuravi Arun Kumar Bhuvanesh R. Bala Vignesh Rishabh Prakash Abdul Waheed Bakrudeen K Nirmal Prabhu Madhusudhan Narayan Velmurugan S V Kiran Kumar Manoj A #TheRetailRoom #AgenticAI #LattAIce #Sahaa #AWS #Shellkode #RetailInnovation #AIEconomics
-
-
𝗖𝗹𝗮𝗶𝗺 𝗱𝗲𝗻𝗶𝗮𝗹𝘀 𝗮𝗻𝗱 𝗯𝗶𝗹𝗹𝗶𝗻𝗴 𝗱𝗲𝗹𝗮𝘆𝘀 𝗰𝗼𝘀𝘁 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗮𝗻𝗻𝘂𝗮𝗹𝗹𝘆. 𝗠𝗮𝗻𝘂𝗮𝗹 𝗰𝗼𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗿𝘂𝗹𝗲-𝗯𝗮𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 𝗰𝗮𝗻'𝘁 𝘀𝗰𝗮𝗹𝗲 𝘄𝗶𝘁𝗵 𝘂𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗻𝗼𝘁𝗲𝘀, 𝘃𝗼𝗹𝘂𝗺𝗲 𝘀𝗽𝗶𝗸𝗲𝘀, 𝗮𝗻𝗱 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗻𝘂𝗮𝗻𝗰𝗲. GeBBS Healthcare Solutions, processing millions of charts for 100+ organizations, designed an AI-driven pipeline powered by Amazon Bedrock on Amazon Web Services (AWS). Shellkode enabled its production implementation. 𝗞𝗲𝘆 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: • Automated ingestion • GenAI clinical understanding: Extracts diagnoses, procedures, and context from physician notes • Semantic ICD-10/CPT mapping (not keywords) • Human-in-the-loop for complex cases ensuring compliance and accuracy 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: • 50,000 charts processed daily • 5–6x faster per chart • Up to 20,000 charts fully automated daily • Backlogs eliminated, revenue realization improved Scalable GenAI for real RCM operations, no pilots needed. 𝗙𝘂𝗹𝗹 𝗰𝗮𝘀𝗲 𝘀𝘁𝘂𝗱𝘆: https://lnkd.in/gJmsVKjv Anil Reddy, Tarun Agarwal, Sameer Walke, Subhodeep Dutta, Amit Anshu, Ankit Kumar Gupta, Anchal Sardana (she, her), N. Shankar Ganesh, Ganesh Sawhney, Vaibhav Golatkar, Srinivas T K Arun Kumar, Bhuvanesh R., Bala Vignesh, Bakrudeen K, Velmurugan S, Nirmal Prabhu, Madhusudhan Narayan Arun S. #HealthcareAI #RCM #GenAI #AmazonBedrock #MedicalCoding #Shellkode #AWS
-
-
𝗠𝗮𝗹𝗮𝘆𝘀𝗶𝗮 𝗙𝗶𝗻𝘁𝗲𝗰𝗵 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗦𝘂𝗺𝗺𝗶𝘁 𝗯𝗿𝗼𝘂𝗴𝗵𝘁 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿 𝘁𝗵𝗲 𝘀𝗵𝗮𝗿𝗽𝗲𝘀𝘁 𝗺𝗶𝗻𝗱𝘀 𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗦𝗼𝘂𝘁𝗵𝗲𝗮𝘀𝘁 𝗔𝘀𝗶𝗮'𝘀 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗳𝘂𝘁𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗦𝗵𝗲𝗹𝗹𝗸𝗼𝗱𝗲 𝘄𝗮𝘀 𝗿𝗶𝗴𝗵𝘁 𝗶𝗻 𝘁𝗵𝗲 𝘁𝗵𝗶𝗰𝗸 𝗼𝗳 𝗶𝘁. Not just as a sponsor. On the stage. 🎤 Mohamed Yasin, our Business Head for ASEAN, spoke on Adaptive Intelligence: Reinventing Customer Engagement Across the BFSI Spectrum agentic AI grounded in real deployments, not demos. The booth was where it got interesting. The room was senior CXOs from banking and financial services across the region. And the conversations didn't stay surface level for long. What caught them off guard wasn't the AI story. It was how deep the BFSI knowledge went compliance architecture, domain-specific workflows, the nuances that only come from actually building for regulated institutions. That's the part that shifted the conversation. The network grew. A few of those conversations are already moving forward. The FSI market in Southeast Asia is past the "should we do this" phase. The question now is who's actually built for it. If we crossed paths, good to meet you. If we didn't, let's change that. 𝗟𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸 →https://lnkd.in/gMzqRsJJ Samuel B. Harris, Neha Mittal, Pandurang Nayak, Shoaib Khalil, Daniel Ding, Veronica Wei, Angela Xu, Ajinkya Jahagirdar, Ghazanfar Iqbal, Rohan Kumar, Trisha Heah, Swapnil Tiwari, Assam Memon, Arun Kumar, Bhuvanesh R., Bala Vignesh, Bakrudeen K, Velmurugan S, Nirmal Prabhu, Madhusudhan Narayan #FintechRevolutionSummit #Shellkode #AgenticAI #FSI #DigitalBanking #AWS #BFSInnovation #EmbeddedFinance #MalaysiaFintechSummit
-
-
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗲𝗿𝗮 𝘄𝗶𝘁𝗵 𝗔𝗽𝗮𝗰𝗵𝗲 𝗜𝗰𝗲𝗯𝗲𝗿𝗴 - 𝗪𝗿𝗮𝗽𝗽𝗲𝗱 𝗶𝗻 𝗔𝘂𝘀𝘁𝗶𝗻 🤝 A room full of data & AI leaders asking how far agentic AI can go on Iceberg. We co-hosted this stop with Amazon Web Services (AWS), and the energy in the room was unmistakable. Manasa Kallakuri, Head of Data Practice at ShellKode, took the stage to share how ShellKode has been architecting and delivering open data platforms for customers in production, turning strategy into measurable outcomes. One thread she kept coming back to: AI-powered search, and how it's turning the data platform itself into something people can simply talk to. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: → 58% of enterprises already run critical analytics on Iceberg → 40–60% lower costs, up to 3x faster queries → No vendor lock-in, one format, any engine → Metadata becomes the intelligence layer AI agents need to reason, not just retrieve → AI-powered search turns that same metadata into instant, plain-English answers no SQL, no waiting on a data team But the best part? 𝗧𝗵𝗲 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 Hearing firsthand about the data challenges teams are navigating fragmented pipelines, ungoverned lakes, AI initiatives stalled by data readiness and working through practical approaches to analytics and AI right there in the room. The real value was in the ideas exchanged before, during, and after: what's working, what's not, and where to go next. Special mentions to Sam Raj Anand for making this happen, and huge thanks to the AWS team Sean Mathieson, Martha Dumler Pritish Mhatre ☁, Biswajit Das, Kuldeep Singh Sundar Sankaranarayanan, Stephanie Shyu, Linda O'Connor, Francis Jayakumar, Phon Hansana, Sagar Kolli Brendan Lim, Rohit Vashishtha, Jen Dunham, CFE, Carlos Gallegos Washim Nawaz Saunak Chandra Jae Hwan Hyun Jeff Koller Vitor Freitas Henry Axelrod Ankit Kumar Gupta, Arun Kumar Bhuvanesh R. #AWS #ApacheIceberg #AgenticAI #DataMIQ #Shellkode #DataStrategy #EnterpriseAI #data #datalake
-
-
🚀 𝗪𝗲𝗹𝗰𝗼𝗺𝗶𝗻𝗴 𝗔𝗯𝗱𝘂𝗹 𝗪𝗮𝗵𝗲𝗲𝗱 𝘁𝗼 𝗦𝗵𝗲𝗹𝗹𝗞𝗼𝗱𝗲! We’re excited to welcome Abdul Waheed as our Principal Solutions Architect. With 21+ years of experience in enterprise architecture and deep expertise in Financial Services, Data Modernization, and Agentic AI, Abdul joins ShellKode after a distinguished journey at Amazon Web Services (AWS), where he partnered with leading enterprises to accelerate their cloud and AI transformation initiatives. At ShellKode, we believe that building category defining AI solutions starts with building an exceptional engineering and architecture team. Bringing in leaders like Abdul strengthens our ability to help customers solve complex enterprise challenges with confidence, speed, and measurable business outcomes. His experience will play a key role in advancing our capabilities across: ☑️ Enterprise AI & Agentic AI ☑️ Data & AI Platforms ☑️ Enterprise Solution Architecture ☑️ Financial Services Innovation As we continue to invest in world-class talent, our commitment remains unchanged: helping customers adopt AI responsibly, modernize faster, and unlock real business value. We're thrilled to have you on this journey, Abdul. Welcome to the ShellKode family! 🙌 Arun Kumar Bhuvanesh R. Bala Vignesh Nirmal Prabhu Bakrudeen K Manasa Kallakuri Madhusudhan Narayan Velmurugan S V Kiran Kumar #Welcome #ShellKode #Leadership #SolutionsArchitecture #EnterpriseAI #AgenticAI #DataAI #CloudTransformation #AWS #FinancialServices #Innovation #EngineeringExcellence #AI
-
-
𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲'𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜. 𝗪𝗲 𝗯𝘂𝗶𝗹𝘁 𝗼𝗻𝗲 𝗮𝗻𝗱 𝗺𝗮𝗱𝗲 𝗶𝘁 𝗵𝗼𝘀𝘁 𝗮 𝗽𝗼𝗱𝗰𝗮𝘀𝘁. DEKODE Podcast Episode 1 explores the conversations that rarely make it beyond the boardroom. Meet KORA, our AI podcast host, leading real conversations with enterprise leaders. 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝗙𝘂𝗹𝗹 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗡𝗼𝘄! https://lnkd.in/gWN-Ru6H