Why Choose TechDocs for AI Data Strategy & Analytics?

The quality of your AI is limited by the quality of your data. We help you audit, clean, and structure your proprietary business information into specialized "vector databases" and optimized datasets that are ready for AI implementation.

We ensure your foundational data architecture is robust, secure, and organized to feed intelligent models that produce actual business value instead of hallucinations.

Services Included

Data Cleaning

Removing duplicates and errors from your datasets.

Vector Database Setup

Setting up Pinecone/Weaviate for AI retrieval.

Data Governance

Setting rules for who can access and use data.

Pipeline Engineering

Building ETL pipelines to feed your models.

Frequently Asked Questions

Why do I need this? +
Garbage in, garbage out. AI needs clean, structured data to work.
What is a Vector Database? +
It is a database that stores data as numbers (vectors) so AI can understand semantic meaning.
How long does it take? +
A comprehensive audit and cleanup usually takes 4-6 weeks.
Is my data secure? +
Yes. Security is part of our governance framework.
Do you use Python? +
Yes. Python is the language of data science, and we use it extensively.
Can you scrape data? +
Yes. We can build ethical web scrapers to enrich your internal datasets.
What format should data be in? +
We work with JSON, CSV, SQL, and unstructured text.
Do I need a Data Scientist? +
We act as your fractional data science team.
Is this for small business? +
Data strategy is relevant for any business that wants to use AI.
Can you predict sales? +
With the right data, yes. See our Predictive Intelligence service.