AI Engineering & Integrations
Add AI to the products and systems you already use
We engineer AI features into your website, app or internal tools: chatbots trained on your own documents, smart search, summarisation and connections to OpenAI, Claude, Gemini and other models.
30-minute call · No obligation · Fixed-scope proposal
What's included
Everything included in our AI Engineering & Integrations service
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Document chatbots
Answers drawn from your manuals, policies and knowledge base, with sources shown.
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AI features in your app
Summaries, classification, extraction and writing help built into your product.
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Smart search
Semantic search that understands what users mean, not just the words they type.
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Model selection
The right model for each task, balancing quality, speed and cost.
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Data privacy
Private deployments, access controls and no training on your data.
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Evaluation
Test sets and scoring so you know how accurate the feature really is.
Our approach
Engineering first, demos second
An impressive demo is easy. A feature that stays accurate, fast and affordable in production takes engineering. We build retrieval, prompts, caching and evaluation properly from the start.
- Grounded answers Retrieval-augmented generation keeps responses tied to your content.
- Cost control Caching, smaller models and batching where they fit.
- Fits your stack Integrations in Laravel, Node.js, Python or Next.js.
Process
How we deliver AI Engineering & Integrations
You'll always know what's happening, what's next and what it costs.
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Step 1 of 4
Define the job
We agree exactly what the AI feature must do, who uses it and how we will measure whether it works, before choosing a model.
- Use case
- Success measures
- Model shortlist
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Step 2 of 4
Prepare the data
We collect, clean and index the documents and data the AI will draw on, with access controls so it only sees what it should.
- Clean data
- Search index
- Access controls
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Step 3 of 4
Build & evaluate
The feature is built into your product and scored against a test set of real questions, so accuracy is a number, not a feeling.
- Built in your app
- Test set
- Accuracy score
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Step 4 of 4
Ship & monitor
We release it, track usage, cost and quality, and keep improving prompts, data and models as usage grows.
- Usage tracking
- Cost control
- Ongoing tuning
AI Engineering & Integrations FAQs
Still have a question? Book a free call
Can AI answer questions from our own documents?
Yes. We index your documents so the AI answers from them and can show which source it used.
Is our data used to train public models?
No. We use API settings and providers that do not train on your data, and can deploy privately if required.
Which languages are supported?
Modern models handle English, Hindi, Arabic and most major languages well. We test the languages your users need.
Can you add AI to our existing app?
Yes. We integrate with Laravel, Node.js, Python, WordPress and most modern stacks through APIs.
How do you keep AI costs predictable?
We choose the smallest model that meets the quality bar, cache repeated work and set usage limits and alerts.
Where would AI make your product or team better?
Tell us the problem and we'll show you what's realistic, what it costs and how long it takes.
Prefer email? info@seocreativehunt.com