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TENSORBLUE / AI ENGINEERING

Generative AI Development

Generative AI development services for practical
business workflows.

Build useful AI features around your data, systems
and users, with evaluation built into delivery.

WHAT WE BUILD

Practical AI
development services

01

LLM application development

Build custom AI features for your product.

02

RAG development

Retrieve relevant context from your knowledge sources.

03

AI agent development

Connect scoped tools to multistep workflows.

04

AI chatbot development

Create conversational assistants for customers and teams.

05

Generative AI consulting

Assess feasibility, architecture and model options.

06

AI integration

Connect AI with your existing software.

WHERE AI FITS

AI within everyday workflows

Knowledge assistants

Find information across your internal sources.

Document workflows

Extract, summarise and draft with review.

Customer support

Help teams prepare contextual responses.

Content tools

Generate text and visual drafts for review.

HOW WE WORK

From use case to
release

Start focused. Expand with evidence.

01

Discover

Define the workflow and success criteria.

02

Prototype

Test with representative examples.

03

Build

Connect models, data and controls.

04

Launch

Evaluate, monitor and improve.

BEFORE WE BEGIN

A few useful answers

Can we use our own data?

Review permissions, quality and processing requirements.

−

Can AI connect to our tools?

Scope integrations around your existing APIs and workflows.

−

What affects development cost?

Data preparation, integrations, model usage and delivery scope.

−
ENGINEERING APPROACH

Built for quality and control

Test with your data. Improve with real usage.

Quality checks

Evaluate outputs against real tasks.

Data controls

Define access and processing boundaries.

Human oversight

Approve consequential agent actions.

Usage monitoring

Track latency, usage and cost.