Enterprises operating at hyperscale face a new reality: intelligence alone is no longer a differentiator—performance is. HyperCore is the GPU-native operating layer for the autonomous enterprise.

Key Benefits

GPU-Native

Performance

NVIDIA full stack.

Cycle Speed

40-60%

Lower dev cycles.

Latency

Ultra-Low

TensorRT optimized.

Reliability

Industrial

Production uptime.

Efficiency

Optimized

Lower compute spend.

Agivant's Advantage

Built on NVIDIA’s stack to transform fragmented AI initiatives into a cohesive core.

1

Build

Accelerated deployment through Agivant’s POD-based execution model.

2

Deploy

Production-grade speed and reliability on NVIDIA’s computing stack.

3

Run

Efficient, high-performance intelligence core for hyperscale agents.

Industry Evolution

Reframing AI as foundational operating infrastructure for machine-speed execution.

Infrastructure Design Principles

Built on NVIDIA’s stack to transform fragmented AI initiatives into a cohesive core.

1

Latency

Designed out

No tuning later.

2

Real-Time

Execution

In-flight reasoning.

3

Optimization

NVIDIA-Native

CUDA first.

4

Governance

Outcomes

Human monitored.

Agile POD-Based Delivery Model

Structuring Teams for High-Performance AI Acceleration

Agivant organizes work into scalable, skill-combination PODs—small, cross-functional autonomous teams (6–12 people) operating on Agile principles. This model enables fast iteration, rapid prototyping in the HRP Lab, and reliable production delivery for enterprise AI systems.

Automation CoE
Development PODs
Sustenance PODs

Automation
CoE

Primary Mandate

“Enterprise standards, reusable frameworks, and governance.”

Provides standards, reusable frameworks, and governance across the enterprise. Focuses on Agentic AI agents, RPA + AI hybrids, and scalable automation patterns.

Key Roles

  • Agentic AI frameworks and guardrails
  • RPA + AI hybrid architectures
  • Event-driven AI (Kafka, API orchestration)
  • DevOps pipelines with GPU support (CI/CD, NVIDIA Docker)
CUDA-native development, multi-GPU training, and TensorRT-optimized inference pipelines enabling rapid experimentation and production readiness.

Development
PODs

Primary Mandate

“Rapid build and deployment of production-grade AI systems.”

Cross-functional teams building custom LLMs or deploying agentic bots, leveraging NVIDIA hardware to achieve 5–10× faster development cycles.

Key Roles

  • Solution Architect – CUDA-optimized architectures
  • AI Engineers – LLM fine-tuning with TensorRT-LLM
  • Data Engineers – GPU-accelerated ingestion (cuDF, RAPIDS)
  • Developers / QA – PyTorch + CUDA testing pipelines
CUDA-native development, multi-GPU training, and TensorRT-optimized inference pipelines enabling rapid experimentation and production readiness.

Sustenance
PODs

Primary Mandate

“Long-term performance, reliability, and cost efficiency.”

Dedicated teams responsible for ongoing operations, monitoring, and post-go-live enhancements.

Key Roles

  • L2 / L3 Support – Model drift management
  • Performance tuning of inference servers
  • Program management of GPU cluster scale
  • Integration and stress testing
Optimized inference servers, GPU auto-scaling, and performance tuning for sustained, enterprise-scale AI operations.

Horizontal DevOps, MLOps, and Platform Engineering teams manage NVIDIA-powered environments to ensure enterprise-wide scalability and operational consistency.

Capability Portfolio

Production-ready capabilities for Generative and Agentic systems.

Market Validation

Pattern-based outcomes from Fortune-scale deployments.

Enterprise AI
Platforms

Global AI Product Leader

Technology &
Semiconductor

Global Semiconductor Technology Company

Cloud Platforms & AI
Infrastructure

Global Cloud & AI Infrastructure Provider

Client Environment
Global Semiconductor Technology Company

Strategic Partner

Unified Data Platform Transformation

Challenge

Fragmented observability, manual pipeline restarts, and over-provisioned cloud
infrastructure were driving cost overruns and operational inefficiencies.

Agivant Solution

Fragmented observability, manual pipeline restarts, and over-provisioned cloud
infrastructure were driving cost overruns and operational inefficiencies

Minutes vs
Hours

Recovery Time

Zero
Overruns

Cloud Spend

AI-Ready
Foundation

Readiness

Ajay Malgaonkar

Chief Digital Delivery Officer

Ajay is a seasoned technology leader with over 28 years of experience driving digital transformation across global enterprises and helping clients achieve their strategic objectives. Ajay’s passion for innovation-led growth, coupled with his ability to scale operations while maintaining agility, makes him a natural fit for Agivant’s mission.


Before joining Agivant, Ajay spent a decade at Prolifics Corporation, a US-headquartered digital engineering firm, where he led integrated engineering teams and delivered transformative AI-driven solutions to marquee clients. His focus on innovation, scalability, and agility made him a key architect of Prolifics’ digital success.


Earlier in his career, Ajay spent ten years at Infosys, where he led the digital practice and delivered large-scale, complex e-commerce and transformation programs across North America, Europe, and the Asia-Pacific region. Ajay’s impact has been widely recognized in the industry. In 2023, he was named one of India’s Next 100 Future CIOs by ITNext and received the ET Inspiring Leader Award.


He holds a Bachelor's degree in Engineering from Sardar Patel College of Engineering and a Post Graduate Diploma in Information Systems from the Somaiya Institute of Management Studies and Research in Mumbai. Ajay’s career reflects a consistent ability to scale digital operations, lead high-impact transformations, and inspire cross-functional teams to deliver value with speed and precision.

Agivant Technologies

Sandeep Kishore

Founder and CEO

Sandeep is a proven CEO, key strategist, and trusted board director with over three decades of experience in the technology industry. He is a highly effective coach and mentor, known for his bold thinking and innovation. Throughout his career, Sandeep has demonstrated a remarkable ability to create and grow successful businesses.

Before founding Agivant, Sandeep served as an Executive Partner with Siris Capital Group, a leading Private Equity firm. Prior to that, he was the CEO & MD of Zensar Technologies from 2016-2021, where he spearheaded a massive turnaround, transforming the company into a fully digital enterprise. This successful transformation was featured as a case study by both Harvard Business School and London Business School.

Sandeep's career also includes over 25 years at HCL Technologies, where he held various leadership roles and built several billion-dollar businesses. An alumnus of IIT Bombay, he is a dedicated board advisor, mentor, and passionate advocate for social impact. He co-founded the Har Asha Foundation, a philanthropic initiative focused on helping young adults develop essential workforce skills. Beyond his professional achievements, Sandeep is also a published poet with two acclaimed books.

Agivant Technologies

Shree Krishna Somani

Head of Business Success

Shree is a dynamic and accomplished leader, uniquely positioned at the intersection of finance, strategy, and technology. As Head of Business Success at Agivant Technologies, he is focused on driving client centricity and overall organization effectiveness. He has a proven track record of delivering impactful results in leadership roles, consistently demonstrating an ability to translate vision into tangible outcomes.


Prior to Agivant, Shree served as Assistant Vice President at Aavas Financiers Ltd, where he led Business Process Re-engineering and Digital Transformation initiatives, showcasing his ability to modernize operations and enhance efficiency. He also contributed to enterprise risk analytics and strategic planning. Earlier, during his tenure in the CEO’s Office at Zensar Technologies, he played a pivotal role in driving corporate and business strategy, advising on M&A evaluations, and leading key strategic initiatives for the CEO. Shree began his leadership journey with the Aditya Birla Group Leadership Program.


An alumnus of XLRI Jamshedpur and University of Delhi, Shree blends a strong academic foundation with extensive practical experience. This combination underpins his proven ability to drive significant impact and deliver compelling business results across complex organizational landscapes.

Agivant Technologies