Sales & marketing
Research an account, prepare a tailored proposal, and update the CRM. Queue outreach for your team’s approval.
Prepare documents. Update records. Carry out the steps in your tools.
We build workflows that run on site, with permissions and approvals you control.
Local data. Auditable actions. No per-token fees for local inference.
Give your AI an outcome: prepare the monthly report, process a batch of invoices, or assemble a client file. We connect local models to approved tools and build the steps that carry the task through. You receive the deliverable, a record of the actions taken, and any exceptions to review.
Define the finished work, the source material, and the systems it can access. Start it with a request, a schedule, or a configured event.
Read the inputs, use approved tools, and create the deliverable. Each workflow has defined permissions, checks, and stopping points.
Get the completed file or proposed update with an activity record. Sensitive actions wait for approval; exceptions go to your team.
Documents prepared. Records updated.
Workflows carried through to completion.
Research an account, prepare a tailored proposal, and update the CRM. Queue outreach for your team’s approval.
Turn case files, intake forms, or policy documents into completed work products, with source references for review.
Work through approved applications: enter data, move files, and complete multi-step tasks using scoped computer access.
Clean a spreadsheet, run the analysis, and produce a report. Deliver the working file alongside the findings.
Read incoming documents, extract the fields, reconcile records, and route exceptions to the right person.
Run a configured workflow when a document arrives or a schedule triggers. Record what happened and escalate anything that needs judgment.
Built for human review. High-stakes decisions and external actions stay under your team’s control.
Start with a workflow your team knows.
Build confidence on your own documents.
Turn matter files into useful first drafts and cited research, within the permissions your firm sets.
Your documents, prompts, and answers can stay inside your network. We design the full workflow around that promise—not just the model.
Choose where intelligence runs, who can use it, and how you pay for it.
Explore performance & costs| What matters | Cloud model APIs | With Looski on site |
|---|---|---|
| Data boundary | Requests sent to a provider | Local inference within your network |
| Compute costs | Typically metered by usage | Owned hardware + agreed support |
| Model choice | Provider’s available models | Compatible open-weight models |
| Change control | Provider manages the service | You approve model and system updates |
| Compliance | Review provider and data-flow controls | Validate controls in your environment |
Local capacity is finite. Hardware, energy, maintenance, and support still have costs. Compliance obligations remain with your organization.
Secure boot, the Secure Enclave, and encrypted storage form a strong base for your deployment.
A large shared memory pool makes room for capable open-weight models. We validate fit, speed, and quality on your work.
A compact enclosure and standard AC power. No server rack required; capacity and cooling are assessed on site.
A capable workstation alongside inference, with resource planning. Redeploy or resell the hardware when your needs change.
Access to AI is the beginning. Knowing what to do with it is the advantage. We work alongside your people to turn possibility into everyday practice.
Meet your implementation partnerWe map the recurring tasks, sensitive data, and opportunities with your team.
We configure the hardware, evaluate models, and connect a first useful workflow.
Hands-on training, practical playbooks, and internal tools your people can own.
Measure outcomes, refine the system, and expand what works.
Compare the total cost of a local deployment with the cloud tools your team would otherwise use. Hardware, implementation, support, and usage—all in the conversation.
A scope built around your team and workloads.
Cloud subscriptions, API usage, concurrency, and local operating costs tell different stories. Our comparison framework makes the assumptions visible.
Explore the comparisonKeeping inference local is the beginning. Your documents, indexes, logs, and backups need a home inside the same boundary.
Read the storyA compact workstation. A large shared memory pool. A practical foundation for open-weight models in your office.
Read the storyThe installation is only the start. The lasting value comes from better workflows, stronger habits, and tools your team actually uses.
Read the storyYes, within workflows we configure and validate with your team. Those can use integrations or scoped computer access to prepare files, enter information, and update records. You decide which actions can run automatically, which require approval, and when the workflow must stop for a human. Available actions depend on your tools and deployment scope.
The customer deployment is designed to keep inference, retrieval, documents, and operational data on site. We verify that boundary with your team. Optional external tools require explicit approval. This public website and its sales channels use separate services.
We start with your workflows and evaluate local integrations. Computer-use permissions, external services, and automated actions are scoped with your team before activation.
No. Local hosting supports control over sensitive information, but it does not replace your organization’s legal obligations, risk assessment, or compliance program.
We begin with a discovery conversation and a representative workflow. Hardware availability, integration scope, and your security review determine the implementation timeline.
Bring us one recurring task. We’ll map the steps, tools, and approvals.
Build your local AI workflow