Artificial Intelligence

Your Data Already Has the Answers.
We Make It Talk.

You have years of customer data, orders, and documentation sitting idle. We turn it into real-time decisions — who's about to churn, what to recommend, which question to answer — automatically.

Start Your AI InitiativeView AI Case Studies
Zaproo AI Agent
Analyze Q3 sales data and identifying top 3 churn risks.
Querying PostgreSQL...
Running Isolation Forest Model...

I've analyzed 14,200 records. Here are the top risks:

Acme Corp92% Risk
Global Tech78% Risk
Knowledge Base
Privacy Guard
PII Redacted

AI Customer Support — 24/7, Zero Extra Headcount

Answers 80% of customer questions instantly, based on your own documentation and policies. Not generic chatbot guesses — your actual knowledge base.

Sales Intelligence

Personalized product recommendations, churn prediction, and automated pricing proposals. Your data works for you while you sleep.

Private AI — Your Data Stays Yours

We build on open models (Llama 3, Mistral) or enterprise APIs. Your customer data never enters OpenAI's training pipeline. SOC 2 compliant.

Semantic Search

Context-aware
intelligence.

Chatbots that guess are liabilities. We engineer semantic search pipelines that retrieve the exact paragraphs from your documentation needed to answer a query, ensuring high accuracy and citability.

Private Data Security (SOC 2)
Low-latency Vector Retrieval
Scalable Inference API
rag_pipeline.py
Ln 14, Col 32
1import openai
2from vector_store import Pinecone
3
4async def query_knowledge_base(query: str):
5# Generate embedding for the user query
6embedding = await openai.Embedding.create(
7input=query,
8model="text-embedding-3-large"
9)
10
11# Retrieve context from private vector store
12context = db.similarity_search(
13vector=embedding.data[0].embedding,
14top_k=5
15)
16
17# Synthesize answer with source attribution
18return llm.generate(
19prompt=build_rag_prompt(query, context),
20temperature=0.2
21)
Terminal
$ node pipeline.js --query "Return policy?"
-> Generating embeddings...
-> Retrieved 3 documents from 'policies' index.
Answer: According to document #142, returns are accepted within 30 days if the item is unworn...
Done (0.8s)_

The AI Stack

We engineer model-agnostic systems using top-tier foundation models (OpenAI, DeepSeek) and modern JavaScript frameworks to ensure scalability and vendor independence.

Frontier ModelsOpenAI & DeepSeek
Private AILlama 3 & Mistral
App FrameworksNext.js & React
Backend & EdgeNode.js & PHP/Laravel
Vector SearchPinecone & Weaviate
InfrastructureDocker & AWS
Methodology

From Proof of Concept to Production — Not Just a Demo.

Most AI projects stall at the demo stage. We apply rigorous engineering practices to make sure your models are reliable, cost-effective, and secure in a live environment.

Our Safety Standards
1

Data Audit & Privacy

We clean and structure your data, establish PII redaction protocols before any model touches it.

2

Model Selection

We benchmark GPT-4, Claude, and Llama 3 against your specific use case to find the best cost-to-performance ratio.

3

Evaluation & Fine-Tuning

Automated accuracy pipelines measure performance and catch regression before it reaches users.

4

Deployment

Containerized endpoints with rate-limiting, caching, and failover for high availability.

Our AI engineers are ready.

We'll assess your data readiness and build your first proof of concept.

Book a Strategy Session
Your Data Already Has the Answers. We Make It Talk. | Zaproo