Yes. We use Enterprise-level APIs with a Zero-Data-Retention policy. Models are not trained on your data.

How long does integration take?

An MVP (Minimum Viable Product) is created in 2-4 weeks. Full integration depends on system complexity.

Which models do you use?

We are model-agnostic. We select the best model for the task: GPT-4o for logic, Claude for analysis, Llama for private hosting.

<- BACK_TO_SERVICES

SERVICE_ID: AI_ARCH_01

AI System
Architecture

We don't create toys. We construct autonomous agents that connect to your databases, analyze processes, and execute actions without human intervention.

99.9%

Uptime SLA

< 200ms

Latency

Ent.

Security Lvl

/// SYSTEM_STACK_V2

Python

Stable3.12

LangChain

Orchestration0.2.x

OpenAI API

LLM Corev4

Pinecone

Vector DBServerless

Docker

ContainerLatest

AWS Bedrock

InfraCloud

Process

/// EXECUTION_FLOW

Analysis & Data

INIT

We collect historical data, identify bottlenecks, and prepare datasets for model training.

Architecture Design

DESIGN

We design the LLM agent structure, select models (GPT-4o, Claude 3.5 Sonnet, Llama 3), and integrate vector DBs.

Integration & Testing

BUILD

We connect AI to your ERP/CRM systems via API. We perform Red-teaming (security attacks) and hallucination checks.

Deployment

LIVE

The system is launched into Production with real-time monitoring (LangSmith/Arize) and automated learning.

[ Frequently_Asked_Questions ]

Ready for Integration?

We start with a free technical audit. We will assess your data readiness for AI systems.

Initiate Audit

AI System Architecture