Enabling innovation with cutting-edge digital technologies
Nimble yet mature teams empowering businesses through architecture, integration, turnkey development, and support.
About Sparity
We are a Digital, Data, and Cloud company committed to transforming businesses through innovative technology solutions. Our expertise spans across various domains, enabling organizations to harness the power of digital transformation, leverage data-driven insights to achieve operational efficiencies & sustainable growth.
What sets us apart?
- Accessible and hands-on leadership
- Successful roll out of proprietary B2B and B2C products
- Shortened delivery cycles through Pilots / PoCs
- Ecosystem of resources & partners
- Proven training & upskilling programs
How we partner?
Extended Team
Time & Materials
Fixed Bid
BOT Team
Extended Team
- Balanced agile teams to reach your goals in the fastest way with optimal resources
- Flexibility without compromising control
- SPOC ensures seamless collaboration with clients, improving project coordination & overall outcomes
Time & Materials
- Dedicated resource allocation for moving targets
- Supports Agile development process
- More visibility into the project status and associated costs
- Best for evolving markets, new technologies
Fixed Bid
- Clearly outlined deliverables
- Fixed budget and control over the process
- Regular communication and transparency
- Robust quality assurance process
- Commitment to success
BOT Team
- Self-driven teams delivering core aspects of products/services
- Complete alignment of company culture
- Full control over operational structure and processes
- Operational centers within a reasonable time and budget
Leadership
Srikanth Konda
CEO
Rama Prabhala
Chief Growth & Strategy Officer
Harish Cholleti
Director
Dwayne Little
VP Engagement & Development
What sets us apart?
Years in the Business
0
Engineers
50
Successful projects delivered
0
Clients
Partners
Insights
Data Poisoning in AI: The Hidden Threat Sabotaging Enterprise Models
By Taruni Sharma
/ June 5, 2026
Data poisoning has quickly become one of the most discussed risks in AI. As organizations increasingly rely on AI for critical...
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From Cloud Chaos to AI Readiness
By Sparity Inc
/ June 3, 2026
From Cloud Chaos to AI Readiness Download our practical guide for building a successful Azure modernization roadmap. Learn how to...
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Decoding the Unified Semantic Layer: The Missing Link in Your Modern Data Stack
By Harish Cholleti
/ May 19, 2026
A unified semantic layer is a centralized translation layer that sits between your raw data and every tool that consumes...
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Shadow AI: The Silent Threat Hiding Inside Your Organization
By Sumanth Itha
/ May 14, 2026
Your employees are already using AI tools you've never approved. Here's what that means and what to do about it. Shadow AI is the unauthorized...
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Alteryx to Microsoft Fabric: Why Enterprises Are Making the Switch in 2026
By Sunil Batchu
/ May 7, 2026
Alteryx to Microsoft Fabric: Alteryx is a capable data preparation tool, but in 2026 its per-user licensing costs, in-memory processing...
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The Real Cost of AI: Why Companies Are Overspending Without Seeing ROI (And How to Fix It)
By Srikanth Konda
/ April 27, 2026
The Hidden Problem: AI Subscription Sprawl AI ROI According to Gartner, spending on AI infrastructure will add $401 billion in spending in 2026 as...
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How a Leading Telecom Enterprise Automated 1,800 Alteryx Workflows to Microsoft Fabric
By John David
/ April 16, 2026
Alteryx Workflows to Microsoft Fabric: telecom enterprise had developed a large analytics environment over time, with nearly 1,800 Alteryx workflows used across...
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Power BI vs Tableau | Key features and Comparison 2026
By Sunil Batchu
/ April 6, 2026
Power BI vs Tableau: Selecting the best data visualization or business intelligence tool is a vital task, this blog offers...
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Fabric 2026 Highlights: Key Takeaways from Microsoft Fabric Conference
By Taruni Sharma
/ March 27, 2026
The Microsoft Fabric 2026 Community Conference 2026 conducted in Atlanta, Georgia, brought together data leaders, BI professionals, engineers, and AI practitioners. ...
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