Services
Private AI services built around real operating decisions.
Every engagement starts from your workflow, data boundary, and budget, not a fixed tool or vendor.
What clients changed after the review.
A few of the decisions clients made after working with ATLACIS.
We were three weeks away from signing a GPU lease. The review showed our workload did not require the hardware commitment we were considering. We didn't buy the hardware.
I couldn't get alignment internally on which AI tools to standardize on. Having an outside perspective that mapped our actual data flows changed the conversation completely.
We had six AI pilots running and no idea which ones were worth keeping. The cost review killed four of them and we reinvested that budget into one thing that actually worked.
What I valued most was that they told us what not to build. Every vendor we'd spoken to had a reason to sell us something.
From an unclear AI situation to a working system.
A short, deliberate path. Most companies start with a single workflow audit.
Start with a workflow audit
We map the real workflow, data boundary, volume, and cost model.
Get a written recommendation
Models, deployment path, cost implications, and a roadmap.
Build it, with us or your team
Implementation with access control and human review, at the pace you choose.
Core services
Six ways ATLACIS helps you choose, build, and run private AI.
AI Systems Advisory
Decide what to use, build, run privately, and avoid, before you spend on tools, models, or hardware.
Private AI Implementation
Build private AI around your own data, with access control and human review.
On-Premise AI Planning
Plan local or controlled AI infrastructure, sized to your real workload.
AI Hardware Consulting
Size GPUs and servers for the actual job, and know when cloud is cheaper.
AI Cost Optimization
Cut token, tool, and routing spend that is not tied to a clear use case.
Private LLM Deployment
Stand up a private LLM end to end, from model choice to deployment.
Build the right AI system before you spend on the wrong one.
If you are about to spend on AI tools, GPUs, or another pilot, talk to us first. We will look at your data, workflows, cost model, and options, and tell you straight what is worth doing.