Custom AI systems and private AI operations

Build AI into the work your business depends on.

ALLTIPLY builds custom AI around your workflows and runs it where your data needs to stay. We connect the systems, test the work and agree who operates it after launch.

Request a project review

Tell us what needs to change. We’ll review the context and discuss the next step with you.

Two ways to work with ALLTIPLY

Build a custom AI system

Connect AI to the work your teams already do. We build assistants, voice systems and automation around the information, systems and decisions the work requires.

Explore custom AI development

Run AI in a private environment

Choose where your models and data run, and who operates them. Compare your infrastructure, your cloud account and a managed environment, with responsibilities defined before launch.

Explore private AI

Start with the work that needs to change.

An AI initiative has stalled.

The demonstration works, but the team cannot rely on it. Examine the data, failure points and tests that will determine whether a change helps.

Read the rebuild decision guide

A process depends on manual handoffs.

Information is copied between tools, approvals are difficult to track, or experienced people spend time reconstructing what happened. Map the process and its exceptions before deciding what to automate.

Explore workflow automation

The data needs to stay under your control.

Work through the deployment boundary, access requirements and operating model alongside the application. These choices affect cost, implementation and what your team will need to maintain.

Compare deployment options

Explore proposed AI solution blueprints.

Proposed solution blueprint; no measured results

Make the AI business case survive real operating costs

A decision model that includes review, exceptions and operating ownership alongside model usage.

Explore the proposed blueprint

Proposed workflow; bounded local synthetic proof available

Let an agent work across CRM and ERP with controlled actions

A multi-system workflow design with narrow permissions, explicit approval and recovery after partial completion.

Explore the proposed blueprint

Proposed solution blueprint; no measured results

Notice AI failures before they become a business backlog

An operating model that follows task completion, data freshness and recovery alongside model and infrastructure health.

Explore the proposed blueprint

Explore 20 proposed solution blueprints. Three now include bounded local synthetic demonstrations for permission-aware retrieval, invoice matching and approval-gated updates, with code, fixtures and execution results. The full workflows, larger scenarios and demonstrations for the other 17 remain proposed. No measured client business results are reported.

Explore all 20 proposed solution blueprints

Make the important decisions before committing to the build.

Start with what the system needs to accomplish and the conditions it must work under. Agree how it will be evaluated, which systems it must connect to and who will operate it. That gives the project a basis for choosing an approach and defining the scope.

Agree the problem and evaluation.

Identify the workflow, stakeholders, data and constraints. Define representative tasks and the evidence needed to accept the work.

Plan for the operating life.

Decide the deployment, support responsibilities and handoff deliverables alongside the build. Make ownership and change control explicit.

See how we approach delivery · Share the engagement brief

Private AI starts with an explicit boundary.

Your hardware, your cloud account and a managed environment are different deployment choices. Review where prompts, files, outputs, logs and backups travel, including any external dependencies. The application and its operating model need to be considered together.

Review deployment and security questions

Inside ALLTIPLY Labs

Our research examines retrieval, evaluation, voice systems and the infrastructure behind AI applications. Explore a business workflow with XSIX Fast and Deep in the workflow studio, inspect the steps and save a brief for review. For custom private AI deployment, we assess your data, integrations and operating requirements before choosing an approach.

Explore Multiplier XSIX · Explore 20 proposed solution blueprints

Discuss the work you need to change.

Describe the business problem, the systems involved and the constraints that matter. We’ll review the context and discuss a useful next step.

Request a project review

Please keep confidential documents, credentials and personal data out of the initial inquiry.