TensorBlue
AI APP DEVELOPMENT SERVICES

AI App Development

Custom AI apps for web, mobile and everyday workflows.
From focused prototypes to integrated products.

Generative AI appsAI chatbot developmentAI integration
CUSTOM AI APP DEVELOPMENT

AI features.
Built for your product.

Practical AI development,
from interface to integration.

01

Custom AI app development

Build AI features for web and mobile products.

02

Generative AI development

Create tools for writing, summarising and content creation.

03

AI chatbot development

Design conversational assistants with human handoff.

04

AI agent development

Connect multi-step tasks with defined tool access.

05

RAG development

Retrieve relevant knowledge to support answers.

06

AI integration services

Add AI features to your existing apps and systems.

AI APPLICATIONS IN PRACTICE

Useful AI,
where work happens.

Focused use cases for customers
and internal teams.

01

Customer support

Find relevant answers, draft replies and hand off to your team.

02

Knowledge search

Search internal documents and surface sources for review.

03

Document workflows

Extract, summarise and organise information for review.

04

Voice & multimodal apps

Add speech, image and document interactions.

FAQ / AI APP DEVELOPMENT

AI app development, explained.

01

Can you add AI to our existing app?

We review your architecture, data and integrations before planning the implementation.

02

Which AI model should we use?

We compare options against your tasks, quality needs, latency and data requirements.

03

What affects AI app development cost?

Scope, data preparation, integrations and ongoing model usage shape the cost.

WANT TO COLLABORATE?

Let’s build your AI application.

Work with us ↗
AI MVP DEVELOPMENT

From AI prototype
to everyday use.

A focused process for building, testing
and integrating useful AI features.

01

Understand

Map the workflow, data and allowed actions.

02

Prototype

Build and test a focused AI feature.

03

Evaluate

Assess output quality, response times and costs.

04

Integrate

Connect interfaces, access rules and business systems.

05

Launch & improve

Monitor behaviour, gather feedback and refine.

FOUNDATIONS FOR AI APPLICATIONS

Data, quality and control.

Model and architecture choices shaped around your requirements.

CONNECTED TO YOUR SYSTEMS

Knowledge & retrieval

Prepare content and connect the right sources.

App & API integration

Connect workflows, access rules and business tools.

Model selection

Compare quality, latency, cost and deployment needs.

DESIGNED FOR REAL USE

Quality evaluation

Test representative tasks and failure cases.

Human review

Add review, escalation and action approvals.

Usage monitoring

Track response quality, latency and running costs.