Infosys
Written by the Bee, read it before you send it
KPIMore first meetings turn into real deals, on less preparation time
Your April 2026 Harness partnership and Anthropic collaboration signal aggressive AI delivery scaling - we help infrastructure and cloud teams like Sathvik's access the compute, storage, and cloud tooling to turn AI pilots into production without vendor fragmentation.
Advanced Solutions
Advanced Solutions high
Building technical credibility in generative AI and TensorFlow within Infosys projects
Sathvik Murarishetty
Specialist Programmer · 11 months (Aug 2025 - Present)
Recent CS graduate from Manipal Institute of Technology (2021-2025) with Gen AI focus, previous internships at Arya.ai and DRDO, now in early-career engineering role at Infosys
- Building technical credibility in generative AI and TensorFlow within Infosys projects
- Accessing AI/ML infrastructure and tooling to support Topaz/Cobalt development work
- Learning enterprise-scale software delivery and cloud deployment practices
- Generative AI engineering
- TensorFlow development
- Enterprise AI implementation
Early-career engineer focused on Gen AI implementation - likely working on Topaz platform development or client AI projects.
1 source
Infosys today
- Industry
- IT Services & Consulting
- Size
- 330,000+ employees
- HQ
- Bangalore, India
- Footprint
- Global presence in 63 countries · Over 330,000 employees · Manages 45 million sq ft across 150 buildings globally
Global IT services and consulting company specializing in AI-first digital transformation, cloud migration, and enterprise application modernization for clients across 63 countries
- Announced strategic collaboration with Harness (April 2026) to integrate Topaz AI and Cobalt cloud with Harness Software Delivery Platform
- Partnered with Anthropic (Feb 2026) to combine Claude AI models with Infosys Topaz for enterprise AI workflows
- Expanded partnership with ExxonMobil (Feb 2026) for AI-optimized data center cooling using immersion technology
- Managing hybrid and multi-cloud deployment complexity as clients accelerate AI adoption
- Scaling AI delivery infrastructure to meet $300B+ AI services market opportunity
- Translating AI proof-of-concepts into production-ready, governed, auditable enterprise systems
- AI-first transformation via Infosys Topaz (agentic AI platform) and Cobalt (cloud foundation)
- Enterprise AI infrastructure at scale - positioning as platform provider vs systems integrator
- Deep ecosystem partnerships with NVIDIA, AWS, Microsoft, Google Cloud, SAP for best-of-breed AI delivery
Infosys is aggressively repositioning from systems integrator to AI platform provider, with major 2026 partnerships focused on enterprise AI operationalization.
Positioning
Tech Data enables infrastructure and cloud partners like Infosys to accelerate AI platform delivery at global scale. We aggregate best-of-breed vendors (Dell, NVIDIA, Adobe) that align with your Topaz/Cobalt ecosystem and provide cloud marketplace automation so your teams can provision multi-vendor stacks faster for banking, manufacturing, and enterprise clients.
Position around speed-to-production for AI infrastructure and reducing multi-cloud complexity.
Pitches
Advanced Solutions
You're scaling AI infrastructure for Topaz delivery (ExxonMobil data center partnership, NVIDIA acceleration) - we give you single-source access to Dell enterprise servers, NVIDIA GPU compute, hybrid cloud platforms, and cybersecurity gear so your infrastructure teams can provision client environments in days, not procurement cycles.
Cloud Services & StreamOne
Your Cobalt platform manages multi-cloud deployments for hundreds of clients, but provisioning AWS, Azure, GCP, and SaaS subscriptions manually creates deployment inconsistency - StreamOne automates multi-vendor cloud provisioning and billing so your teams deliver the 'consistent hybrid deployment' promised in your Harness collaboration.
Partner Enablement Programs
You're training 300k+ employees on AI platforms for Topaz delivery - our Destination AI and Practice Builder programs co-deliver vendor-led enablement (NVIDIA, Dell, Adobe) to accelerate technical readiness for your Centers of Excellence and client-facing engineers like Sathvik's team.
Conversation arc
“Sathvik, I saw your Harness and Anthropic announcements this spring - you're clearly moving fast on enterprise AI delivery. I work with infrastructure and cloud teams at service providers who are scaling AI platforms like Topaz, and I wanted to share how we're helping them provision hybrid infrastructure and cloud services faster. Does that resonate with what you're working on?”
“Walk me through how your teams today get access to GPU compute, storage, or multi-cloud subscriptions when a new Topaz client engagement kicks off. Where do you hit friction - is it procurement lead time, vendor coordination, or provisioning consistency across AWS and Azure?”
“Here's where we help teams like yours: our Advanced Solutions portfolio gives you one-stop access to Dell enterprise infrastructure, NVIDIA AI compute, and hybrid cloud gear your Cobalt practice needs, and our StreamOne cloud marketplace automates multi-vendor cloud provisioning and billing so you can spin up AWS, Azure, and SaaS subscriptions for clients without manual vendor coordination. That maps directly to your Harness integration goal of consistent hybrid deployment.”
“I hear you - you've got vendor relationships in place. The value isn't replacing them; it's speed and flexibility for net-new AI workloads where you don't want to renegotiate terms or wait on procurement cycles. We work with service providers who use us as the fast-path option for project-based infrastructure and cloud subscriptions, especially when clients have tight go-live timelines.”
“Let's set up a 30-minute technical session with your infrastructure or cloud procurement team to walk through a specific Topaz client scenario - say a banking AI deployment - and show exactly how we'd streamline the vendor and subscription stack. Who on your side owns infrastructure vendor strategy or cloud marketplace tooling?”
Ask these
- Q1When you onboard a new Topaz AI client - like the recent banking engagements you've announced - how long does it typically take to provision the underlying infrastructure (GPU servers, storage, hybrid cloud) and multi-cloud subscriptions (AWS, Azure, SAP)? Where do delays usually come from: vendor negotiations, internal procurement, or technical integration?
- Q2Your Harness collaboration targets consistent deployment across hybrid and multi-cloud environments - are your delivery teams today using a single cloud marketplace or provisioning tool to manage subscriptions across AWS, Azure, and GCP, or is it fragmented by vendor? What would change if you could automate that through one platform?
Feasibility
Strongest fit is infrastructure and cloud enablement to support Infosys's AI-first transformation and multi-cloud client delivery model.
FAQs
We already have direct relationships with Dell, NVIDIA, Microsoft, and AWS - why would we add a distributor layer?
You're right to leverage those relationships for strategic deals. Where we add value is speed and flexibility for project-based, client-specific infrastructure needs - especially net-new AI workloads where you don't want to extend existing MSAs or wait on procurement. Service providers use us as the fast-path option: you get vendor diversity (we carry 100+ vendors beyond your core partners), financing flexibility, and StreamOne's multi-cloud automation without renegotiating enterprise agreements. Think of us as the variable-speed layer for Topaz client engagements that don't fit your standard vendor templates.
What they appear to run
- Heavy Azure OpenAI and Copilot Studio integration for AI agent development
- Multi-cloud strategy (AWS, Azure, GCP) requiring consistent hybrid deployment
- NVIDIA partnership for AI compute infrastructure and GPU acceleration
Infosys operates multi-vendor hybrid infrastructure for client delivery, with heavy Microsoft and AWS cloud presence for AI workloads.