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Add useful generative AI to your product.
Build features that help users draft, summarize and work with information inside an existing product. Define the inputs, allowed sources and expected outputs before choosing a model.
★★★★★5.0· 57 client reviews
Overview
Generative AI Development, explained
Generative AI creates new content, such as text, summaries, images or structured data, from instructions and examples. Used well, it removes repetitive drafting and gives people a strong first version to refine. Used carelessly, it produces confident errors and inconsistent tone. The difference is in the product design around the model.
We build generative features with defined templates, grounding in your data, style rules, safety filters and review steps. We test outputs against agreed examples and design the interface so users can edit, regenerate and approve rather than copy and paste from a chat window.
Before you build
Decisions worth settling first
Settling these points early keeps scope realistic and makes the estimate meaningful.
01
The content and its audience
Define who reads the output, the format it must follow and the tone it should use.
02
Source of truth
Decide which facts the model must use, such as product data, policies or past documents, and how they are supplied.
03
Quality criteria
Agree what a good draft looks like with real examples and the mistakes that are unacceptable.
04
Review workflow
Choose who approves outputs before they reach customers and how edits feed back into improvement.
05
Brand and safety rules
Set restrictions on claims, sensitive topics and tone, and test them deliberately.
06
Volume and cost
Estimate generation volume and choose models and caching to keep cost per output reasonable.
Services
What our generative AI development services include
Content generation features
Product descriptions, emails, reports and proposals generated from your data and templates.
Summarisation
Concise summaries of calls, tickets, meetings and long documents with links back to the source.
Structured extraction
Turning free text into fields, tags and categories your systems can use.
Image generation workflows
Text-to-image and image editing pipelines with prompts, presets and moderation.
Writing assistants
In-app assistants that help users draft, rewrite and translate within your product.
Evaluation and guardrails
Test sets, output checks and filters that keep quality consistent as prompts and models change.
How it is built
The layers behind a dependable result
Every layer has an owner, tests and documentation, so the system can be supported after launch.
01
Prompt and template design
Versioned instructions and examples that define structure, tone and constraints.
02
Grounding
Retrieval of the facts the output must rely on, so the model is not inventing details.
03
Output checks
Validation of format, banned claims, length and sensitive content before display.
04
Editing interface
Controls for users to regenerate, edit, compare and approve generated content.
Use cases
Where it helps
Ecommerce catalogues
Draft product titles and descriptions from attributes, then route them for approval.
Customer communication
Prepare personalised replies and follow-ups that agents review and send.
Internal reporting
Summarise weekly activity, incidents or sales data into readable briefs.
Marketing operations
Produce first drafts and variants that follow brand guidelines.
Creative apps
Offer users image generation and style transfer, as in our Stable Diffusion art project.
Learning content
Generate quizzes, explanations and practice material from course content.
Illustrative use case
A team can produce a first draft of a report from approved inputs while retaining a human review step.
From our portfolio
AI Art Generation
A text-to-image experience built on Stable Diffusion that turns written prompts into artwork.
PythonStable DiffusionReact NativeNode.jsAWS
Why PoliteTech
Why teams choose PoliteTech
Scope before commitment
Priorities, assumptions and acceptance criteria are agreed in writing before a delivery plan is fixed.
Engineers who build
Recommendations come from the people who design, code and support the software, so they reflect real implementation effort.
Visible progress
A shared backlog, regular demos and recorded decisions keep you informed without chasing updates.
Practical AI
Evaluation sets, review steps, cost limits and monitoring are part of every AI feature we ship.
Flexible engagement
Start with a scoped project, a dedicated team or support, and change the model as your roadmap evolves.
Clear ownership
Repositories and accounts can live in your organisation, with IP and confidentiality terms agreed in the contract.
Industries
Where this work fits
Retail and Ecommerce
Build web and mobile journeys around product discovery, ordering and customer service.
Financial Software
Support reporting, document processing and internal operations through defined application workflows.
Logistics Software
Connect planning, task assignment and operational updates in one workflow.
Education and Elearning
Create platforms for content, activities and progress tracking.
Fitness and Wellness Apps
Support tracking, coaching content and user engagement around a clear product goal.
Manufacturing Software
Replace fragmented tracking with workflows for quotations, work status and supporting documents.
Real Estate Applications
Create listing, enquiry and internal coordination tools around your business process.
Business Operations
Build task, approval and reporting tools around the way your team works.
Process
A practical path from requirements to release.
Each stage ends with something you can review: a scope, a prototype, a working increment or a release.
01
Understand
Discuss your users, business needs, existing systems and delivery constraints.
02
Define
Agree scope, technical approach, responsibilities and a delivery plan.
03
Design and build
Develop in manageable increments with visible progress and review points.
04
Test and release
Validate agreed workflows, resolve release blockers and prepare deployment.
05
Support and improve
Document the handover, review production feedback and plan the next priorities.
Technology
Tools and platforms we work with
OpenAIGoogle GeminiLlamaMistralStable DiffusionHugging FaceLangChainPythonNode.jsReactAWSAzureGoogle Cloud
Cost
What shapes the cost of your project?
There is no useful price without scope. These are the factors we review when preparing an estimate, and the estimate lists every assumption so you can see what would change it.
01
Number of workflows
Each workflow needs its own prompts, tools, evaluation set and review design.
02
Data preparation
Cleaning, labelling, chunking and access rules often take more effort than the model itself.
03
Integrations
Connections to CRMs, ERPs, document stores and identity providers add design and testing work.
04
Evaluation and review
Building test sets, review queues and monitoring is essential for reliable results.
05
Model and hosting
Hosted APIs, open models and private deployment have very different setup and running costs.
06
Security and compliance
Sensitive data, audit needs and data residency add controls and documentation.
Engagement models
Choose the engagement that fits your next step.
Dedicated Team
For a changing roadmap or ongoing development. Agree roles and working process, then manage priorities through a shared backlog.
Best for team extension and long-term product work.
Scoped Project
For a defined product or milestone. Align on requirements, deliverables and acceptance criteria, with changes reviewed before they affect the plan.
Best for MVPs, integrations and focused releases.
Maintenance and Improvement
For software that already exists. Start with a technical review, then agree support routines and planned improvements.
Best for live applications and modernisation.
FAQ
Questions about generative AI development
Will generated content be accurate?
Accuracy depends on grounding and review. We supply the model with your source data, check outputs against rules and keep a person in the loop where errors matter.
Can it write in our brand voice?
Yes. We encode tone and style rules with examples and test outputs against them, then refine based on reviewer feedback.
Do you build image generation features?
Yes. Our portfolio includes a Stable Diffusion art generation app, and we can build similar pipelines with moderation and presets.
Which models do you use?
We compare hosted and open models for quality, cost and data handling. Common choices include OpenAI, Gemini, Llama, Mistral and Stable Diffusion.
Can our data be used to train public models?
We configure providers so your data is not used for training where the provider supports it, or use self-hosted models when required.
How do you measure quality?
With an agreed evaluation set, reviewer ratings and automated checks for format and policy rules.
Can we begin with a focused scope?
Yes. We can review your current situation and agree a bounded first engagement before a wider build.
How are pricing and timelines determined?
We review requirements, technical complexity, team needs and delivery constraints before proposing an engagement. Estimates list assumptions and what may change the plan.
Can we discuss a project under an NDA?
Yes. Let us know before sharing confidential materials so we can agree confidentiality terms first.
Our work
More generative AI projects
Entertainment · Mobile
AI Character Chat App
A mobile app where users chat with expressive AI characters by text, voice and video, and customise how each character looks.
FlutterAndroidConversational AIVoice and video calls
E-commerce · Web · Shopify app
AI Shopper Simulation for E-commerce
A Shopify app that tests product changes on simulated shoppers built from a store’s own customer data, before anything goes live.
React NativeShopify appAstroPostHog
Productivity · Web & desktop
Team Messaging with Built-in AI
A secure team messaging and collaboration tool with workspaces, channels and optional AI for summaries, replies and action items.
Next.jsReactRedux ToolkitElectron
Discuss your generative AI development needs
Share your goals, current situation and the help you need. We will review your message and suggest a practical next step.