Zenpixl
AI-Driven Applications

AI that ships.

We integrate GPT-4, Claude, and Gemini into real products — chatbots, automation pipelines, and intelligent features built for production, not demos.

OpenAI GPT-4Claude APILangChainRAG PipelinesNext.jsPython
Problems we solve

Why AI projects fail

Most teams get stuck at the prototype. We build the production layer — reliability, cost control, and output quality — that turns a demo into a product.

The problem

You want AI features but don't know where to start

We run a structured discovery to identify the highest-ROI AI integration for your product — then ship a working prototype in two weeks so you can see real results before committing.

The problem

Your LLM responses are slow, expensive, or unreliable

We implement prompt caching, streaming, model routing, and fallback chains — cutting latency by up to 60% and API costs by 40% without sacrificing output quality.

The problem

The AI doesn't know about your business data

We build Retrieval-Augmented Generation (RAG) pipelines that ground the model in your documents, databases, and internal knowledge — accurate, cited answers your users can trust.

The problem

AI outputs are inconsistent and hard to validate

We engineer structured output contracts, output validation layers, and automated evals — so AI features behave predictably across every edge case in production.

Use cases

What we build

Document Intelligence

Upload contracts, reports, or manuals — users ask questions and get precise, cited answers pulled from your documents.

AI Writing Assistant

Context-aware content generation inside your product — drafts, rewrites, translations, and SEO suggestions in one click.

Smart Search & Discovery

Semantic search that understands intent, not just keywords — surface the right products, articles, or records every time.

Automated Data Extraction

Parse unstructured PDFs, emails, or web pages and extract structured data at scale — without manual review.

AI Customer Support

Deflect 60–80% of support tickets with an AI agent that knows your product, escalates gracefully, and logs everything.

Recommendation Engine

Personalised content, product, or action recommendations driven by user behaviour and semantic understanding.

What we deliver

Every AI engagement includes

LLM Integration Layer

OpenAI, Anthropic Claude, Google Gemini, or open-source models — wired into your product with proper rate limiting and error handling.

RAG & Knowledge Pipelines

Vector search with pgvector or Pinecone, document ingestion, chunking strategy, and retrieval tuning tailored to your content.

AI Chatbots & Assistants

Conversational interfaces with memory, multi-turn context, tool use, and escalation to human agents when needed.

Prompt Engineering & Evals

Structured prompts, few-shot examples, output schemas, and an automated eval suite to catch regressions before they hit users.

Content Automation Pipelines

Automated content generation, summarisation, classification, and tagging — integrated with your CMS or data platform.

AI Feature Observability

Token usage dashboards, latency tracking, output quality monitoring, and cost alerts — full visibility into your AI layer.

Tech stack

Tools we use

Models

GPT-4oClaude 3.5Gemini ProLlama 3Mistral

Frameworks

LangChainLlamaIndexVercel AI SDKOpenAI SDK

Vector DBs

pgvectorPineconeWeaviateChroma

Backend

Node.jsPythonNext.jsLaravelFastAPI
Ready to add AI?

Let's add AI to
your product

30-minute call — we identify your highest-ROI AI feature and show you what it looks like in production.

Book a Discovery Call