NeoAavya
Automating Cloud Efficiency with AI-Driven FinOps & GreenOps
Founder: Lalit Kumar | Experience: 12 Years Industry Expertise | Location: Delhi NCR, India
Section 1: The Vision

NeoAavya is building Aavya-Optima, an autonomous orchestration engine that eliminates cloud waste and carbon inefficiency for global B2B enterprises. With 12 years of specialized experience in SQL Server optimization and cloud migrations, we're solving real-world technical debt—not vanity metrics.

Section 2: The Opportunity

❌ The Problem

• Global enterprises waste over 30% of their cloud budget due to idle resources and inefficient architectural scaling.

• Rising ESG regulations are forcing companies to reduce their digital carbon footprint (GreenOps).

• Manual rightsizing is complex, time-consuming, and error-prone.

✓ The Solution

Aavya-Optima — an autonomous orchestration engine using predictive ML to:

• Rightsize infrastructure (SQL Server & Cloud Run)

• Implement carbon-aware scheduling

• Reduce cloud overhead by up to 40%

Section 3: Product Stage & Traction
Stage
MVP (Live)
Status
Pilot Audits
Clients
3 International B2B
  • Core AI Engine: Fully functional with real-time cost anomaly detection
  • Unique Advantage: 12 years of specialized SQL Server & cloud migration expertise
  • Validation: Currently conducting pilot audits with 3 international B2B clients
  • Differentiation: Solving real technical debt, not just surface-level metrics
Section 4: Market & Business Model

Total Addressable Market (TAM): $100B+ Cloud Optimization & Sustainability Market

Business Model: Hybrid (B2B SaaS Subscription + High-Impact Managed FinOps Services)

Growth Strategy: Focus on the US and European markets where GreenOps compliance is a top-tier priority for 2026

Revenue Streams:

  • SaaS Platform Subscriptions (recurring revenue)
  • Managed FinOps & GreenOps Consulting
  • Enterprise Custom Implementation
Section 5: The Ask

💰 Funding Requirements

Funding Goal
$200,000
Round
Pre-Seed
Closing Target
Q2 2026
Stage
MVP → Scale

Use of Funds:

  • 60% Product/Engineering: Hiring senior AI & Cloud engineers to scale the platform
  • 25% Go-To-Market: Scaling international sales, marketing, and strategic partnerships
  • 15% Operations: Infrastructure scaling on Google Cloud & compliance certifications