5.0 clutch rating

AI Integration That Ships to Production.

Most AI features demo well and fall apart with real users. We wire LLMs into your product properly — the right model, grounded in your data, evaluated and monitored so it actually holds up in production.

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AI Integration mockup

Who it's for

AI Integration at Paper to Pixel is built for:

Funded startups

building AI-powered products from scratch.

SaaS companies

adding AI features to their existing product.

Companies

automating internal workflows with AI.

Founders

who want AI that actually works in production.

What you get

Every AI Integration engagement includes:

Custom AI integration tailored to your product and stack

LLM API integration (OpenAI, Anthropic, Gemini, Mistral)

Prompt engineering, fine-tuning, and RAG pipelines

Vector database setup (Pinecone, Weaviate, pgvector)

AI feature evaluation and monitoring

Analytics & usage tracking

Documentation

Post-launch support options

Tech stacks

We pick the models and infrastructure that fit your use case, not the hype cycle.

01

OpenAI / GPT-4o

For general-purpose language tasks.

02

Anthropic / Claude

For reasoning, long context, and safety.

03

LangChain / LlamaIndex

For RAG and agent orchestration.

04

Pinecone / pgvector

For semantic search and memory.

05

Python / Node.js

For backend AI pipelines.

Starts At

$3,000

AI integration engagements start from $3,000. Every project is scoped individually — final pricing is quoted after a free 30-minute discovery call. No pitch deck required.

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Frequently asked questions.

Which AI model is right for my use case?+

It depends on your latency requirements, context length, and budget. GPT-4o is great for most tasks. Claude excels at long-context reasoning. We'll recommend the right model after understanding your use case.

Can you build a chatbot that knows my product?+

Yes — we build RAG pipelines that connect your docs, database, or knowledge base to an LLM so it gives accurate, grounded answers instead of hallucinating.

Do you do fine-tuning?+

Yes, when it makes sense. Fine-tuning is often overkill — prompt engineering and RAG solve most problems faster and cheaper. We advise on the right approach for your budget and timeline.

Got a project
on paper? Let's
ship the receipts.

Mukaram Hussain

CO-FOUNDER

Mukaram Hussain

Book a free 30-minute call. Bring the problem, we'll bring the plan.

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