AI & Intelligence

AI engineered into the way yourenterprise works.

We design and engineer applied AI systems around enterprise data, workflows and software—turning models into capabilities that can operate inside the business.

Models + enterprise dataIntegrated workflowsProduction engineering
From model to operating system

AI becomes useful when it is connected to the enterprise.

A model on its own is only one layer. Production AI depends on the quality of the underlying data, the systems it can reach, the controls around its actions and the workflow through which people use it.

01

Enterprise Data

Operational, transactional, document and knowledge sources.

02

Intelligence Layer

Context, retrieval, business logic and governed access.

03

Models & Agents

Reasoning, generation, vision, prediction and orchestration.

04

Business Systems

Enterprise software, APIs, products and operational tools.

05

Automated Operations

Decisions and actions embedded into day-to-day work.

Where AI creates value

Focused on the work behind the technology.

We approach AI as part of a broader system: the process being improved, the information it depends on, the applications already in place and the people responsible for the outcome.

01 / OPERATIONS

Operational intelligence

Bring context, recommendations and automated actions into workflows where teams already manage day-to-day operations.

02 / KNOWLEDGE

Knowledge & document workflows

Interpret large volumes of documents and enterprise knowledge while keeping outputs connected to validation and business processes.

03 / DECISIONS

Decision support

Combine historical and current data with AI to surface relevant information, patterns, forecasts and recommendations.

04 / PRODUCTS

Intelligent digital products

Engineer AI directly into customer and employee experiences rather than treating intelligence as a separate destination.

Selected AI work

Intelligence applied insideworking products.

Advista Pro
Computer Vision / AI Video

Advista Pro

An AI-assisted video platform combining visual tracking, surface mapping and environment-aware product placement with automated rendering workflows.

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RedComet
Generative AI / Education

RedComet

An education platform with conversational AI integrated into the broader learning and enrollment environment, designed around controlled context and application workflows.

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Engineering AI for production

The model is only part of the system.

Production AI requires software engineering discipline around the intelligence layer: integration, controls, reliability and a clear operating model for people and systems.

01

Enterprise integration

Connect AI with APIs, databases, documents, platforms and the systems where work already happens.

02

Security & access controls

Design access to data, tools and actions around the security boundaries of the application and organization.

03

Human oversight

Define where AI can act, where people validate and where escalation or approval remains necessary.

04

Observability & evaluation

Build mechanisms to inspect outputs, understand failures and improve system behavior as usage evolves.

05

Scalable engineering

Engineer the surrounding software, infrastructure and workflows for production workloads rather than isolated demonstrations.

AI in your enterprise

Where could intelligence change the way your business operates?

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