Engineering services from the company behind Omnibrain
Qardel builds Omnibrain and hires out the people who built it. AI systems built for your business, dedicated AI infrastructure, and senior engineering muscle, from engineers who ship.
AI engineering
Advanced AI and machine learning, engineered for your business. Every system we deliver is proprietary to you.
Off-the-shelf AI ends where your advantage begins. We design and build production AI systems around your data, your domain, and your constraints: LLM applications, retrieval pipelines, agents, forecasting and classification models, and the operations to run them reliably. The finished system transfers to you as your intellectual property. No license back to us, and nothing reused for another client.
Start with a week of a senior architect inside your systems. You get a written assessment of where AI actually pays off in your stack and where it does not, plus a scoped proposal with cost and timeline. The assessment is yours whether or not you hire us.
request_review →How it works
- We scope the outcome. The engagement starts with the business metric the system must move, agreed before any model work begins.
- Our architects design the system. Fine-tuned models, retrieval, agents, or classical machine learning, chosen for the problem, not the trend.
- We build on your data. Training and evaluation run on infrastructure you control, on our private LLM clusters or inside your own perimeter. Your data never touches a public AI API.
- We ship it to production. Serving, monitoring, evaluation loops, and retraining pipelines. You get a system, not a demo.
- You own everything. Source, models, weights, and the documentation to run it without us.
Built by the senior engineers behind Omnibrain, and run, if you choose, on the same private infrastructure we use ourselves.
Private LLM infrastructure
Your own LLM. Dedicated hardware. No shared cloud, ever.
Most "private" AI still means someone else's shared cloud. We run our own datacenters and rent you a dedicated section: bare-metal GPU servers that are yours alone, single tenant. We fence the hardware off physically and operate it for you. You get an OpenAI-compatible endpoint over a private link. Your prompts, your code, and your weights never touch a public AI API or shared infrastructure.
How it works
- We size the hardware. Models, context lengths, concurrency, all specced from your actual workload.
- We dedicate your section. GPUs, drivers, and the inference stack, racked in a Qardel datacenter and fenced off for you alone.
- We deploy your models. Open-weight or your own fine-tunes, tuned for throughput.
- You point your tools at it. Omnibrain, IDE assistants, internal apps. One private endpoint over your dedicated link.
- We maintain, you control. Updates and monitoring are our job. Access and data are yours.
Pairs with Omnibrain Enterprise for a fully private AI engineering stack: context, reviews, and measurement, with model calls that never touch a public provider.
Dedicated hardware
A rented section of a Qardel datacenter that is yours alone. Bare metal, single tenant. You share GPUs with no one, and no cloud API sits in the path.
Isolated by design
Your section has no shared network path and no public egress. Traffic moves only over your dedicated link. If you need hardware inside your own walls, we deploy on-premise too.
Any open-weight model
Llama, Mistral, Qwen, DeepSeek, or your own fine-tuned models. We deploy them, tune them, and keep the serving stack current.
OpenAI-compatible API
One endpoint, reachable over a private link. Drop-in for Omnibrain, IDE tools, or anything that speaks the standard API.
Sized to your workload
We spec the hardware from your real usage: models, context lengths, concurrency. Not a generic tier sheet.
Run by us, dedicated to you
The facility, power, drivers, and serving stack are our job. The section, the keys, the weights, and the data stay yours for the full term.
Engineering consulting
Hire the engineers who built Omnibrain.
40 senior and lead software engineers, the same team that designs and ships Omnibrain. 5 of them are software architects. No juniors and no body-shop rotation. They embed with your teams, or arrive as a self-contained unit, to design and deliver systems end to end.
Every engineer you hire from us works on our private LLM infrastructure: models we run on our own hardware and pay for ourselves. Your code never touches a public AI API or a third-party provider, and you never see an LLM bill.
Engagement models
- → Embedded engineers. One or more seniors join your team, in your process, your standups, your repos.
- → Dedicated delivery team. A self-contained unit with its own architect. It owns an outcome and delivers it.
- → Architecture engagement. Design, review, and a build-ready plan for your hardest system decision.
Domain modeling, service boundaries, data architecture, infrastructure. Our software architects lead these engagements.
Hands-on delivery of serious systems, end to end. We write the code and ship it, not a slide deck of recommendations.
LLM features, retrieval pipelines, agents, private model hosting. We design them and build them into your product and your workflow.
We untangle systems that grew for a decade while the business keeps running on them.
Tell us what you're building.
Infrastructure, engineers, or a system built for you. We'll scope it with you on a call.