On-prem open source
Private inference, retrieval, and agents on hardware you own or a VPC you control. Llama, Mistral, and Qwen-class stacks — not lock-in theater. Built for cost, privacy, and the data that cannot leave the building.
AI systems integrator & consulting
Most companies do not need another chatbot demo. They need models that fit how they already work — data they can keep, systems they can run, and vendors they can trust. lukicweb lc designs that stack and puts it into production.
What we integrate
We sit between leadership, IT, and the model. Architecture first, then wiring, then a system your team can operate without us in the room.
Private inference, retrieval, and agents on hardware you own or a VPC you control. Llama, Mistral, and Qwen-class stacks — not lock-in theater. Built for cost, privacy, and the data that cannot leave the building.
When capability is the bottleneck, we wire frontier APIs from the labs that actually move the frontier into real workflows — with guardrails, evals, and cost control so the invoice does not become the product.
Process mapping, hybrid architecture, build, and handover. We find where AI changes the work, then connect it to the systems you already run — CRM, ERP, documents, ops — without a science project that never ships.
What an engagement looks like
Documents stay on your network. Retrieval and answers run on an open-source model you operate.
Tools that call your CRM, ERP, or files — with permissions and logs, not a public chatbot.
Lab APIs on the hard hop. Redaction or an on-prem model on everything that should not leave.
Runbooks, evals, cost caps. Your team operates it on Monday without us in the loop.
How we work
Where the work actually lives, which data can move, which cannot, and whether the constraint is privacy, cost, or capability.
A hybrid architecture: on-prem open source for the core, frontier models where they earn their keep. One stack, not two religions.
Wire models into existing tools and workflows. Retrieval, tools, permissions, logging — production, not a slide.
Runbooks, evals, and the boring operational pieces. The point is a system your people can operate on Monday.
Design a hybrid stack
Privacy and cost pull toward models you run. Capability pulls toward frontier labs. Drag the constraints; the mix is a starting brief, not a contract.
Frontier hop for reasoning.
Private retrieval and agents on your hardware; frontier models for the hard reasoning hop.
Start a conversation
Tell us what you run today, what cannot leave the network, and what “useful” would look like in ninety days. We reply from the same address.
mlukic@lukicweb.com (202) 831-3804