Infosys
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Infosys just trained 50,000 employees on NVIDIA AI and is expanding security operations globally—Tech Data's Destination AI and Security Services programs can accelerate your ramp in geographies or verticals where you're building new capabilities, while StreamOne can simplify multi-cloud billing for mid-market clients where Infosys acts as implementation partner.
Partner Enablement Programs
Partner Enablement Programs high
Delivering AI model deployments and agent-based automation for client projects using Infosys Topaz Fabric
Sathvik Murarishetty
Specialist Programmer · Since August 2025 (10 months)
Early-career Gen AI engineer hired from Manipal Institute of Technology (CS, 2021-2025). Previously interned at Arya.ai and DRDO. LinkedIn emphasizes TensorFlow and Generative AI expertise. Based in Pune, likely working on Infosys Topaz AI platform implementation or AI model deployment projects.
- Delivering AI model deployments and agent-based automation for client projects using Infosys Topaz Fabric
- Building technical depth in enterprise AI stack (NVIDIA, AWS, Anthropic Claude, OpenAI) to support Infosys' AI-first transformation
- Contributing to internal AI tooling and developer productivity initiatives like GitHub Copilot rollout (30,000+ developers)
- Generative AI and TensorFlow
- Enterprise AI engineering
- AI model development and deployment
Sathvik is a technical IC, not a procurement decision-maker. His Gen AI focus aligns with Infosys' AI-first push. He may influence tooling/vendor recommendations on projects but unlikely to have budget authority. Approach as technical champion who can connect to infrastructure or AI CoE leads.
1 source
Infosys today
- Industry
- IT Services & Consulting
- Size
- 300,000+ employees globally
- HQ
- Bangalore, India
- Footprint
- Global delivery centers across India, US, Europe, APAC · Pune operations center where Sathvik is based · Recent acquisitions including Optimum Healthcare IT (completed May 2026)
Global IT services and consulting company specializing in AI-first digital transformation, enterprise application services, and cloud solutions. Publicly traded on NYSE, NSE, BSE with 300,000+ employees serving clients across 50+ countries.
- Completed acquisition of Optimum Healthcare IT (May 2026) to strengthen healthcare provider capabilities with ServiceNow, AWS partnerships
- Strategic collaboration with Anthropic (Feb 2026) to integrate Claude models with Infosys Topaz for agentic AI in telecom and financial services
- Partnership expansion with ExxonMobil (Feb 2026) for AI data center immersion cooling solutions using Infosys Topaz and Cobalt
- Stock down 17-34% YTD 2026 amid AI disruption fears to traditional IT services model and margin pressure from competitive intensity
- Revenue growth guidance of only 1.5-3.5% for FY27 reflects macro headwinds and client budget constraints despite AI investments
- Legacy system modernization bottleneck: clients need faster, cheaper migration from COBOL and monolithic apps to microservices/cloud-native architectures
- AI-first transformation via Infosys Topaz platform with 50,000 employees trained on NVIDIA AI, partnerships with OpenAI, Anthropic, AWS, Google, Microsoft
- Enterprise AI services expansion targeting $300B+ opportunity across six areas: AI strategy, data, process, legacy modernization, physical AI, trust
- Cloud-native modernization through Infosys Cobalt platform with focus on hybrid cloud, multi-vendor orchestration, agent-ready ecosystems
Infosys is in active transformation mode - heavily investing in AI capabilities while facing market skepticism about traditional IT services. Recent acquisitions and partnerships signal aggressive push into AI-powered modernization services.
Positioning
Tech Data enables global SIs and service providers to accelerate partner capability development and client delivery through our vendor-agnostic Centers of Excellence, cloud marketplace aggregation, and security services augmentation. We help firms like Infosys scale emerging tech practices (AI, edge, security) faster without building everything in-house, especially in mid-market segments where you need speed and breadth.
Positioning must acknowledge Infosys is a peer (both serve channel) and a potential collaborator, not a traditional buyer. Focus on enablement and speed-to-market rather than cost savings or product access.
Pitches
Partner Enablement Programs
Infosys is training 50,000 employees on NVIDIA AI and expanding AI CoEs globally—Tech Data's Destination AI and Practice Builder programs give your delivery teams vendor-agnostic access to AI stack training (NVIDIA, AWS, Microsoft), pre-built labs, and go-to-market support in tier-2 geographies where you're scaling fast but don't have dedicated enablement resources yet.
Cloud Services & StreamOne
For mid-market clients where Infosys handles implementation but doesn't want to own cloud billing, StreamOne aggregates AWS, Azure, Microsoft 365, and ISV subscriptions with automated provisioning and billing—letting you deliver the full stack without building CSP infrastructure or managing vendor contracts individually.
Security Services
With your new Global Security Operations Center in Australia and expanding cybersecurity footprint, Tech Data's security professional services (assessments, implementation support, technical staff augmentation) can extend your delivery capacity in regions or verticals where you're ramping security practices but don't have fully staffed local teams yet.
Conversation arc
“Sathvik, I know Infosys is pushing hard on AI-first transformation—the Anthropic and OpenAI partnerships, training 50,000 people on NVIDIA tech. We work with a lot of global SIs who are scaling new practices fast, and I wanted to explore whether Tech Data's enablement programs could help accelerate some of what you're building, especially in geographies or capability areas where speed matters.”
“As you're ramping AI delivery teams or expanding security operations in new regions, what's slowing you down? Is it access to vendor training, technical resources for mid-market clients, or orchestrating multi-vendor cloud stacks at scale? Where do you feel you're building capability slower than the market is moving?”
“Two areas where we're seeing SIs get value: First, our Destination AI program gives your delivery teams hands-on access to NVIDIA, AWS, and Microsoft AI stacks with pre-built labs and certifications—faster than building your own CoE from scratch. Second, StreamOne can simplify multi-cloud SaaS provisioning and billing for mid-market clients where you're the implementation partner but don't want to own the commerce layer. Both let you scale delivery without adding headcount or infrastructure.”
“You're right that Infosys has deep vendor relationships—NVIDIA, AWS, OpenAI—and your own platforms like Topaz and Cobalt. Where Tech Data fits is not replacing those, but accelerating capability in tier-2 geographies or emerging tech areas where you don't have dedicated resources yet. Think of us as a force multiplier for the long tail of your practice development—vendor-agnostic training, security services augmentation, cloud billing automation—so your core teams can focus on strategic accounts and platform innovation.”
“This makes sense as a deeper conversation with your AI Center of Excellence or partner enablement team. Can you connect me with whoever owns practice development for emerging tech—AI, security, edge—so we can explore a pilot in one geography or vertical where you're scaling fast? I'll send over a one-pager on Destination AI and StreamOne so you have context for the intro.”
Ask these
- Q1Where are you ramping AI delivery capacity fastest right now—specific geographies, verticals, or client segments—and what's the biggest bottleneck: skills, vendor access, or deployment speed? I ask because Infosys just trained 50,000 on NVIDIA AI, and understanding where that training needs to translate into billable delivery helps us see if Tech Data's AI enablement programs can accelerate your time-to-revenue in those markets.
- Q2For mid-market clients where Infosys is the implementation partner but not the cloud reseller, how are you handling multi-vendor SaaS provisioning and billing today—especially for AWS, Azure, and ISV solutions? We're seeing SIs struggle with the commerce layer when they don't want to become a CSP, and StreamOne's aggregation model might simplify that without you having to build billing infrastructure.
Feasibility
Infosys is a service provider and SI, not a traditional reseller/VAR. Fit is strongest where Tech Data enables Infosys' delivery model (training, cloud aggregation, security services augmentation) rather than traditional product distribution. Partner Enablement and Cloud Services have clearest value prop.
FAQs
We have direct partnerships with all major vendors—NVIDIA, AWS, Microsoft, SAP—and our own platforms like Topaz and Cobalt. Why would we need a distributor or aggregator when we go direct to the source?
Absolutely—your strategic vendor relationships are core to what makes Infosys a leader, and we're not proposing to replace those. Where Tech Data adds value is in the long tail: tier-2 geographies where you're scaling new practices, mid-market clients where you need multi-vendor aggregation without building billing infrastructure, or emerging tech areas (AI, edge, security) where your core teams are focused on strategic accounts and you need vendor-agnostic enablement to accelerate the ramp. Think of us as a force multiplier for practice development and market coverage, not a replacement for your hyperscaler or ISV partnerships. We work with SIs like Atos and DXC in exactly this model—complementing their direct relationships with speed and breadth where it matters.
What they appear to run
- Massive GitHub Copilot rollout to 30,000+ developers indicates enterprise-wide developer tooling standardization and AI productivity push
- Anthropic and OpenAI partnerships (Feb-Apr 2026) signal need for agentic AI and LLM integration beyond in-house Topaz platform
- ExxonMobil immersion cooling partnership suggests aggressive AI infrastructure scaling for data center compute demands
Infosys is a systems integrator and service provider, not a direct IT buyer in the traditional sense. They build on hyperscaler infrastructure and partner with major vendors to deliver client solutions. Any Tech Data engagement would be around enabling their delivery model, not replacing internal IT.