Enterprise Service Suite

AI Development

Building Cognitive Agent Pipelines & Deep Implementations

Build custom cognitive agent workflows, fine-tune models on proprietary enterprise data, and automate operations with high-fidelity algorithms.

Overview

At AIStratX Technologies, we do not simply wrap external APIs. We design end-to-end cognitive architectures. We build Retrieval-Augmented Generation (RAG) systems that resolve indexing and context issues, train machine learning classifiers, fine-tune models on domain-specific corpora, and execute multi-agent workflows that can handle complex decision trees.

Operational Capabilities

Custom cognitive agents with role delegation
Robust semantic vector search and data indexing
Automated extraction pipelines for un-structured files
Continuous prompt evaluation and cost minimization metrics

Target Tech Stack

OpenAI API & Anthropic SDKLangChain / LangGraphPinecone / pgvector / MilvusPython / PyTorchHugging Face ModelsLlamaIndex

Service Standards

Repository DeliverablesTypeScript, Docs, Tests
Deployment SupportVercel / AWS / Docker
Code Ownership Transfer100% Client-Owned

The Development Roadmap

Milestone 1

Strategic Discovery

Identify key data reservoirs and outline agent logic parameters.

Milestone 2

RAG / Vector Architecture

Ingest client assets, configure indexes, and set up embedding models.

Milestone 3

Agent Integration

Draft system parameters, establish safety guardrails, and write API integrations.

Milestone 4

Fine-tuning & Launch

Iterate on feedback loops, analyze latencies, and deploy to production cloud.

Deploy this solution for your company

Schedule a briefing with our tech leads to map out your exact system requirements.