Applied AI — deployed your way

Enterprise AI that runs on your data, and stays inside your walls.

Stellaxis helps organizations put AI to work safely and cost-effectively — building agents, automation, and secure data connectivity on the platforms you already trust. Self-hosted, cloud, or hybrid. No vendor lock-in.

The reality

Most AI projects never make it past the pilot.

The technology rarely fails. The approach does — data that isn't connected, tools that don't fit the workflow, and budgets spent proving a concept that never reaches production. We build the other kind.

~95%
of enterprise generative-AI pilots deliver no measurable return.
MIT, 2025
28%
of AI use cases fully meet their ROI expectations.
Gartner, 2026
85%
of failures trace back to poor or disconnected data — not the model.
Industry analysis
What we build

Practical AI systems, grounded in your reality.

We don't build foundation models. We make the best ones work for you — assembled into systems that do real work and answer from your own information.

AI Agents

Systems that take action, not just chat — triaging requests, drafting work, and running multi-step tasks across your tools, with human checkpoints where they matter.

Workflow Automation

The repetitive, high-volume work that drains your team — classification, extraction, routing, summarization — handled reliably and measured against real KPIs.

Data Connectivity

We connect AI securely to your documents, databases, and systems, so it answers from your policies and your data — and cites where the answer came from.

How we deploy

Three ways to deploy. One that's right for you.

There's no single correct model — there's the right model for each workload. We route by data sensitivity, cost, latency, and capability, so you never overpay for the cloud or over-invest in hardware.

01 — Self-Hosted

Your infrastructure

Open-weight models running on your own servers or private cloud. Prompts and outputs never leave your network.

Best for regulated data, strict residency requirements, and high steady volume.
02 — Third-Party

Managed platforms

Frontier capability from OpenAI, Anthropic, and Google via API — fastest to launch, elastic, no hardware to own.

Best for prototyping, variable load, and top-tier capability without ops burden.
03 — Hybrid

The best of both

Sensitive workloads stay private; everything else taps the cloud for scale and capability. Routed per workload.

Best for organizations balancing control, cost, and capability across teams.
What's actually holding you back

We know what makes you hesitate. Here's how we answer it.

The fear

"Our data will end up training someone else's model, or leaking out of our control."

Our answer

Self-hosted and private deployments keep prompts, documents, and outputs inside your perimeter — the only true path to data sovereignty. You decide what, if anything, ever leaves.

The fear

"We'll get locked into one vendor and pay for it for years."

Our answer

We're model-agnostic by design. Run open-weight, swap providers, or move between them — your systems are built so the platform underneath can change without rebuilding everything on top.

The fear

"AI makes things up, and we can't put that in front of customers or regulators."

Our answer

We ground systems in your own data with retrieval and citations, add evaluation, and keep humans in the loop where stakes are high. The AI answers from your knowledge, not its guesses.

The fear

"We've burned budget on AI pilots that went nowhere."

Our answer

We start with one high-impact workflow, prove the ROI, then scale. AI earns its budget before it grows — and we integrate into the way your team already works, where most projects quietly fail.

How we work

A phased path, built to de-risk.

01

Discover

We map your highest-value use case, your data, and your constraints — security, budget, and timeline.

02

Pilot

A focused, limited-scope build that proves measurable value fast, on real data and real workflows.

03

Deploy

We harden, secure, and ship to production on the model that fits — self-hosted, cloud, or hybrid.

04

Support

We monitor, evaluate, and improve — and stay model-agnostic so you're free to evolve as the field does.

Get started

Not sure which approach fits? Find out in two minutes.

Answer a few questions about your goals, data, and constraints. We'll show you which deployment model fits — and exactly where to start.