Private AI & Model Development

Build Private AI Around Your Data and Domain

We develop and adapt models for specialized enterprise tasks, with deployment and data controls shaped by the operating environment. The starting point is a measurable task and a useful baseline, not an assumption that every problem requires a custom model.

Depending on the need, the work may combine retrieval, model adaptation, fine-tuning, and specialized evaluation. We assess quality, cost, latency, and failure behavior before recommending a production approach.

How We Build

Frame the task

Define the domain, data permissions, and evaluation criteria.

Establish a baseline

Test available models and retrieval approaches.

Adapt and evaluate

Improve the model or system against representative examples.

Deploy with control

Design access, monitoring, and ongoing evaluation.

Technology

Microsoft Foundry, Azure, Microsoft Fabric, and task-appropriate models.

Deliverables

The scope is shaped around your operating environment. A typical engagement can include the following.

01

Task and data assessment

An assessment of the task, available data, permissions, and constraints.

01

Task and data assessment

An assessment of the task, available data, permissions, and constraints.

02

Baseline evaluation

Evidence about how available approaches perform on representative examples.

02

Baseline evaluation

Evidence about how available approaches perform on representative examples.

03

Model adaptation plan

A task-specific approach to retrieval, adaptation, or fine-tuning.

03

Model adaptation plan

A task-specific approach to retrieval, adaptation, or fine-tuning.

04

Private deployment architecture

A deployment design shaped by enterprise access and data requirements.

04

Private deployment architecture

A deployment design shaped by enterprise access and data requirements.

05

Quality and failure analysis

Evaluation of accuracy, cost, latency, and failure behavior.

05

Quality and failure analysis

Evaluation of accuracy, cost, latency, and failure behavior.

06

Monitoring approach

An approach to ongoing evaluation and improvement.

06

Monitoring approach

An approach to ongoing evaluation and improvement.

Bring Us the Hard Part

Tell us what you are trying to build, connect, or improve. Start a conversation at inquiry@dataverse.com.

Bring Us the Hard Part

Tell us what you are trying to build, connect, or improve. Start a conversation at inquiry@dataverse.com.