AI & Data Engineering

Fine-tuned models, semantic vector search, and predictive automation.

We bring practical, ROI-focused artificial intelligence into existing software ecosystems. From Retrieval-Augmented Generation (RAG) knowledge systems to automated document synthesis and predictive algorithms.

Primary Benefits

Secure enterprise data boundaries with zero training on proprietary customer data
Sub-200ms vector semantic search across millions of documents
Structured JSON responses and strict evaluation guardrails
Automated extraction pipelines reducing manual workflows by up to 90%

Architecture & Stack

Open source LLMs (Llama 3, Mistral) & OpenAI/Anthropic APIs
Vector embeddings with Pinecone, pgvector, or Qdrant
LangChain & LlamaIndex for agentic reasoning and chunking
Python FastAPI microservices deployed on GPU-accelerated clusters

WHAT YOU RECEIVE

Project Deliverables

Typical Timeline:6 - 10 Weeks

Production-ready RAG application or predictive machine learning model

Evaluation benchmarks testing accuracy, latency, and token cost

Data ingestion ETL pipelines with automated document parsers

Enterprise security protocol document and data retention audit

Interested in AI & Data Engineering?

Schedule a preliminary technical discovery call with our lead architect to scope your project.

Inquire About This Service