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We find your bottleneck.
We build the AI that clears it.

Most AI is hype and generic chatbots that change nothing. Zetalyx is different — we find the specific bottlenecks slowing your business down and replace them with custom AI workflows that make your team more productive and your decisions sharper.

Book a call See how we work
What we do

We don't sell AI.
We remove bottlenecks.

Every engagement starts with your business, not a model. Here's how we turn AI into outcomes you can actually measure.

01

Find the real bottleneck

We map where your team actually loses time and money, then aim AI only where it pays off — no hype, no science projects.

02

Custom AI workflows

We replace manual, repetitive processes with workflows tuned to how your business really runs — not a generic chatbot bolted on the side.

03

Answers from your own knowledge

Let your team ask your documents, data, and history a plain-language question and get an accurate answer in seconds instead of digging for hours.

04

Decisions backed by data

Forecasting and analytics that turn your numbers into clear operational calls — what to stock, hire, price, and prioritize, with confidence.

05

Assistants that do real work

AI assistants and agents that take the busywork off your team's plate — including private, on-device options where your data never leaves your walls.

06

Systems you actually own

Everything we build is production-ready and yours to keep — reliable, documented, and free of black boxes or vendor lock-in.

How we work

From bottleneck
to breakthrough.

A tight, hands-on loop that gets you a working system in weeks — aimed at the business outcome that matters to you, not a tech demo.

01

Find the bottleneck

We dig into how your business runs to pinpoint where AI will actually move the needle — and where it won't.

02

Design the workflow

We shape a custom AI workflow around your real processes and the decision it's meant to improve.

03

Build & prove it

A working system in weeks, measured against the outcome you care about — time saved, better calls, more output.

04

Embed & scale

We roll it out to your team, refine it in the real world, then move on to the next bottleneck.

Proof, not slideware

Selected work.

Real systems, measurable results — shipped, not mocked up.

2025 · Siemens

Production Semantic Search

Deployed a semantic similarity search system over 9,000+ technical files, reaching 99.3% section-level retrieval accuracy in production.

ChromaDBMiniLM / MPNetEmbeddings
Full-stack AI

Switchboard RFQ Generation

An AI system automating RFQ generation across 40+ historical orders using 322 weighted features, with a clean operator UI.

FastAPIReactChromaDBPyTorch
Forecasting

Supply-Chain Demand Forecasting

Benchmarked ARIMA, SARIMA, Holt-Winters, Random Forest, and XGBoost with walk-forward validation to pick the right model.

Time-seriesXGBoostWalk-forward CV
EdTech · Full-stack AI

TutorHive — AI Tutoring Platform

A deployed platform pairing students with tutors, featuring an AI study assistant, smart study-plan generation, and real-time chat on a secure, role-based full-stack.

Next.js 14Llama 3.3 · GroqNeon PostgresReal-time chat
About

Built around your business,
not the hype cycle.

Zetalyx is an applied-AI studio for business owners — not a hype machine. Most AI you get pitched is generic: a chatbot bolted on, or a model that demos well and changes nothing about how your business runs.

We work the other way around. We start from your actual bottlenecks — the manual work, the slow decisions, the things that quietly cost you — and build custom AI workflows that clear them. The goal is simple: a more productive team and better operational decisions.

Small, senior, and hands-on by design: you work directly with the person building your system. No account managers, no buzzwords, no hype.

Narain Sarathy, Founder of Zetalyx
Narain Sarathy
Founder & AI Engineer

Narain founded Zetalyx to give business owners AI that actually moves the needle — not hype. He's built systems that do real work: a production knowledge-search tool at Siemens spanning 9,000+ technical files, full-stack AI that automated RFQ generation, and forecasting pipelines that turn numbers into decisions. He holds an MS in Data Science and is AWS-certified in both AI and machine-learning engineering.

RAG & semantic search Forecasting Full-stack ML AWS

Certifications & education

  • ✓ AWS Certified AI Practitioner
  • ✓ AWS Certified Machine Learning Engineer – Associate
  • ✓ MS in Data Science
LinkedIn ↗ GitHub ↗ Email ↗
Get in touch

Let's build something.

Tell us what you're working on. We'll get back to you within a day.

Email

narain@zetalyx.co

Phone

+1 817 798 0760

Location

Arlington, Texas, USA

Connect

LinkedIn  ·  GitHub
FAQ

Common questions.

What kinds of businesses do you work with?+

Any team sitting on data or manual workflows that AI can accelerate — from startups to enterprise units like the ones we've shipped for. If you're unsure whether AI fits, that's exactly what a short discovery call is for.

How long does a typical project take?+

A working proof of value usually takes a few weeks. Productionizing and hardening depends on scope, but we keep the loop tight so you see results early and often.

Do you work fixed-scope or ongoing?+

Both. Many engagements start as a fixed-scope prototype, then move to ongoing support and scaling once the value is proven.

Can the AI run privately or on our own infrastructure?+

Yes. We build privacy-first and on-device options using local LLMs — so your data never has to leave your environment. We've shipped fully offline assistants with zero external API keys.

Do you sign NDAs?+

Absolutely. We're happy to sign an NDA before any sensitive details are shared.