Build Quiet
AI Systems
We don't build demos. We engineer operational AI systems that live inside real workflows, carry accountability, and survive at scale.
Real Workflows
AI shouldn't be a chat interface on the side. We embed intelligence directly into your existing operational pipelines.
Reduce Friction
Quiet AI works in the background. It removes bottlenecks without requiring users to learn new behaviors.
Compound Execution
Systems that get smarter over time, building an institutional memory that compounds your team's velocity.
Platform Engineering for the AI Era
Resilient Architecture
Built to handle failure gracefully. When models hallucinate, our systems have guardrails.
Human-in-the-loop
Designed for accountability. AI suggests, humans decide, systems learn.
Zero-Demo Policy
We don't do prototypes that look good but fail in production. We ship systems.
Ready to scale your intelligence?
Join the teams that are moving beyond chat bots to building true operational leverage.
Start Building
Operational AI Systems
We move beyond the "demo phase" of AI. We build robust, scalable systems that integrate directly into your enterprise architecture.
Context Awareness
Our systems don't just answer questions; they understand the state of your business. By ingesting real-time operational data, they make decisions based on the current reality, not just training data.
Deterministic Guardrails
LLMs are probabilistic. Business logic must be deterministic. We build the engineering layer that forces models to adhere to strict business rules, compliance requirements, and safety standards.
Feedback Loops
A system that doesn't learn is static. We architect explicit feedback mechanisms where human corrections are captured, structured, and used to fine-tune the system automatically.
System Architecture
SYSTEMS > OPINIONS EXECUTION COMPOUNDS NOISE DOESN'T
I build AI and engineering systems that remove operational drag and scale execution quietly.
Over the last decade, I've worked at the intersection of Cloud, App, platform engineering, DevSecOps, and AI enablement—designing systems that teams rely on without thinking about them.
My current focus is on infrastructure-first AI: dependable, boring by design, and hard to replace.
Engineering DNA
Cloud Infrastructure
Architecting resilient, self-healing environments that survive at scale.
Platform Engineering
Building the internal developer platforms that multiply team velocity.
DevSecOps
Embedding security directly into the pipeline, not as an afterthought.
AI Enablement
Operationalizing models into reliable, business-critical systems.
Innovation Lab
A program designed to find exceptional talent and give them the resources to build the future of operational AI.
Fellowship Program
Deep dive into AI systems engineering. Work alongside senior engineers on real production problems.
- Mentorship from industry leaders
- Real-world project ownership
- Stipend included
Research Grant
Funding and compute resources for students pushing the boundaries of what's possible with Access to RAG Systems.
- Access to RAG Systems
- Publishing support
- Technical guidance
Summer Residency
Intensive onsite build-a-thon. Ship a product from 0 to 1 with a team of like-minded builders.
- Hyderabad HQ
- Housing provided
- Demo day pitch
Who we are looking for
BUILD LOUD
48 Hours. Top Engineers. One Mission: Build autonomous agents that actually work.
Date
June 24-26, 2026
Location
Hyderabad
Prize Pool
To be Announced
The Challenge
Autonomous Infra
Build an agent that can spin up, secure, and manage cloud infrastructure without human intervention.
Self-Healing Systems
Create a system that detects downtime or errors and patches its own code to resolve the issue.
Enterprise RAG
Solve the 'hallucination problem' in a high-stakes enterprise context using novel RAG techniques.
Send a Message
Tell us about your operational challenges. We prefer engineering problems over sales pitches.
Quick Contact
Founder's Vision
Sai Kishore Tayi
Founder & Chief Architect
"I build AI and engineering systems that remove operational drag and scale execution quietly."
Over the last decade, I've worked at the intersection of Cloud, App, platform engineering, DevSecOps, and AI enablement—designing systems that teams rely on without thinking about them.
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