Building Production-Ready GenAI Solutions with 30 Years of Engineering Excellence
Founded by veteran software architect Narendra Mandadapu, we're building a team of AI engineers who combine deep software engineering, data pipelines, and cutting-edge GenAI capabilities.
I founded Suvegasoft after 30 years of building software and data pipelines for Fortune 500 companies like TikTok, Virgin Media, BP, and Toyota Motor Europe.
Here's what I've learned: Most AI projects fail. Not because of the AI—because of weak data pipelines and poor software engineering foundations.
Today, as a GenAI Engineering Architect, I see companies chasing every new framework while ignoring the basics: clean data, solid pipelines, rigorous evaluations, and production-grade engineering.
We're building a different kind of AI consultancy. One that treats data as a first-class citizen. One that measures everything with evals. One that solves your problem, not sells you tools.
— Narendra Mandadapu, Founder
How We're Different
We're not your typical AI consultancy. Here's what drives us:
We don't believe marriages are made in heaven—but we believe the partnership between DATA, Pipelines, Orchestrators, and Evaluations is made in heaven. When these four work together, that's when projects come from heaven. That's when AI actually works in production.
DATA is King
In our world, DATA is King—a first-class citizen in every system we build.
I've spent 30 years building data pipelines. I know this: if your data is poor and your pipelines are weak, your AI project will fail. No matter how good your model is.
We treat data as royalty—the ultimate authority. We use battle-tested orchestrators, proven pipeline patterns, and deep data engineering experience to build foundations that last. Because AI without strong data roots is just expensive demos.
Evaluations are Queen
If DATA is King, then Evaluations are Queen. Together, they rule our approach.
We don't ship AI that "feels good." We measure every model output with rigorous evaluation frameworks. We use LLM traceability, logging, and continuous monitoring to deliver production-grade AI.
If you can't measure it, you can't improve it. And you definitely shouldn't ship it.
Pipelines Are Our Veins
We don't have veins—we have pipelines. They're how data flows through every system we build.
For 30 years, I've built data pipelines and AI pipelines. Strong pipelines aren't optional—they're the lifeblood of production AI. Weak pipelines = failed projects, no matter how good your model.
We use state-of-the-art tools, proven patterns, and battle-tested infrastructure to build pipelines that don't break. Because when data stops flowing, everything stops.
Orchestrators Make the Symphony Work
AI systems are like orchestras—dozens of services, models, and pipelines that need to work in harmony.
Orchestrators are the conductors. They ensure data flows correctly, models execute on time, and failures get handled gracefully. Without them, you have chaos.
We use state-of-the-art orchestration tools to make systems behave predictably. Because production AI isn't one model—it's a symphony of systems working together.
Best Practices, Not Just Cutting Edge
We love new technology. But we don't chase every shiny framework.
We build on proven software engineering principles—the kind that scale, sustain, and serve your needs for years. We design tool-agnostic architectures because tools come and go, but solid foundations endure.
Best practices are built into our DNA. They have to be—we've seen what happens when they're not.
Problem-First, Not Tool-First
We focus on your problem, then design the solution. Not the other way around.
Too many consultancies start with their favorite tool and force-fit your problem into it. That wastes resources and rarely works in production.
We're tool-agnostic. We choose technology based on what solves your problem best—not what's trendy or what we know how to sell.
Your ROI, Not Ours
For us, the customer isn't God. That's not the goal.
The goal is to empower you to solve problems for your customers better. We measure success by the impact we create for your business, not by our invoice size.
We concentrate on client ROI rather than our ROI. We're excited by technology solving real problems—not by financials.
A Mile Deep, Not a Mile Wide
We go a mile deep on problems that matter. We don't go a mile sideways chasing every AI trend.
Depth creates lasting impact. Surface-level solutions create technical debt.
We want to build ecosystems, not collect logos. We want impact, not defensiveness.
LLM Observability & Traceability
We implement LLM traceability, logging, and continuous monitoring at every step. Production AI demands production-grade observability.
We build systems you can debug, monitor, and improve—not black boxes that fail mysteriously. Every model call is traced, every output is logged, every failure is catchable.
Tool-Agnostic, Framework-First
We don't use just cutting-edge software—we use proven software principles to build solid foundations.
Tools come and go. We build on frameworks and best-of-class practices so solutions scale, sustain, and serve your needs for years—not months.
Excited by Technology Solving Problems, Not Financials
We're engineers at heart. We get excited when technology solves real problems—not when invoices get bigger.
That's why we focus on your problem first, design the solution second. No wasted resources on technology for technology's sake.
Building Ecosystems, Not Collecting Logos
We want to create ecosystems, not feathers in the crown. We want impact, not defensiveness.
Long-term partnerships matter more than one-off projects. We measure success by the lasting value we create, not the logos we collect.
Trusted by Global Leaders
30 years of supporting enterprise transformation with production-grade engineering
Why Choose Us
Full-Stack + AI Combined
Rare combination: 30 years of software engineering + cutting-edge GenAI. We don't just understand AI—we build production systems that scale.
Data Engineering Foundation
Deep data pipeline experience + AI expertise. We build AI on rock-solid data foundations that don't crumble.
Fortune 500 Experience
Proven track record with global enterprises. We understand enterprise complexity, governance, and production requirements.
Production-Ready Focus
Not POC experiments—we ship complete, maintainable solutions. Evals, monitoring, traceability—production readiness is our default.
Our Tech Stack
We use proven technologies that scale, combined with cutting-edge AI capabilities
Languages
- • TypeScript
- • Python
- • JavaScript
AI/ML
- • OpenAI
- • Anthropic (Claude)
- • LangChain
- • LlamaIndex
Cloud
- • AWS
- • GCP
- • Azure
Databases
- • PostgreSQL
- • Pinecone
- • Weaviate
- • Qdrant
Expanding stack based on client needs
How We Work
Discovery & Strategy
Understand your problem (not sell you our solution). Assess feasibility, data quality, and success metrics.
Architecture & Design
Design scalable, production-ready AI systems. Tool-agnostic architectures with proven patterns.
Implementation & Deployment
Build with evals at the center. Deploy with monitoring, traceability, and observability.
Optimization & Impact
Continuous evaluation and improvement. Measure client ROI, not vanity metrics.
Ready to Build AI That Actually Works in Production?
Let's discuss how we can help solve your problem with AI that's built on solid foundations—not hype.