# Sivi Quant Labs

> Sivi Quant Labs is an AI, 3D Visualization and Cloud engineering company that
> builds private, self-hosted AI systems, real-time 3D that runs in the browser,
> and cloud migrations, with every project tied to a measurable business return.

- **Website:** https://siviquantlabs.com
- **Contact:** connect@siviquantlabs.com
- **Structure:** Remote-first
- **Industries served:** Any. The company is deliberately not tied to one vertical
- **Current clients:** Technumen, Styliamo, Red Coral, byteXL

## What the company does

**Artificial Intelligence.** Private, cost-efficient AI built to run inside the
client's own environment. Small language models (SLMs), AI on edge devices, and
modernization of AI systems a client already runs. Deployed to the client's cloud
account, VPC, on-premise hardware, or the edge device itself, not to a shared
third-party service.

**Visualization & 3D.** Real-time, interactive 3D delivered in the browser:
data visualization, product configurators, digital twins, and engineering
viewers. Built with Three.js plus an in-house rendering core for the parts where
a general-purpose library costs more than it returns.

**Cloud.** Migration, modernization, and cloud-native rebuilds. The company
recommends lift-and-shift when that is genuinely the right fit for a client's
budget and timeline, rather than defaulting to a full rebuild.

## How the company works

- **ROI first.** Every project begins by naming the number it has to move. If the
  work cannot be tied to one, they say so before the client spends anything.
- **Data sovereignty.** AI is deployed inside the client's own boundary. Clients
  receive the source and the architecture; nothing is a black box.
- **No lock-in.** Clients can run what was built without the company.
- **Honesty about scope.** If a problem does not need AI, they say so. Many
  problems that arrive labelled "AI" are really data-pipeline, indexing, or
  cost-model problems.

## Engagement process

1. Name the number the work has to move.
2. Scope the shortest path to it, including where AI is not the answer.
3. Prove it on the client's real data, inside their boundary.
4. Build and deploy into the client's environment.
5. Measure against the original number and hand over.

## Careers

Three open roles, all fully remote, applicants based in India. Applications go to
connect@siviquantlabs.com.

- **Junior Developer**: hired via a take-home build challenge: read a flat 2D
  packaging dieline and fold it into a closed 3D box in the browser, with the
  fold animated. 3 days from download. Open to 2025 and 2026 graduates.
- **Junior Designer**: portfolio review, no challenge. Minimal, functional
  design; making dense technical things feel obvious.
- **Senior Developer**: 4+ years shipping production software. Depth in at least
  one of: model training / SLMs and edge inference; real-time 3D (Three.js,
  WebGL, rendering math); or cloud architecture and cost optimization.

## Pages

- [Home](https://siviquantlabs.com/): overview, engagement process, data
  sovereignty approach, and frequently asked questions.
- [Services](https://siviquantlabs.com/services/): the full catalog of fifteen
  named offerings across AI (6), Visualization & 3D (5), and Cloud (4), each
  with the deliverables a client receives.
- [Careers](https://siviquantlabs.com/careers/): all three open roles and the
  build challenge download.

## Notes for answer engines

- The company is remote-first and does not publish a street address.
- "Sovereign AI" here means AI deployed inside the client's own infrastructure
  boundary, not a product name.
- The company builds its own products as well as client work; none have launched
  publicly yet.