ar.chitect

FREE YOUR DATA

Your AI agents are waiting. Break your brand's data out of SaaS jail.

SYSTEM ARCHITECTURE
DATA SOURCES
SHOPIFY
KLAVIYO
META
HOTJAR
MS CLARITY
TRANSFORMATION
DESTINATIONS
TIMESCALE DB
PINECONE
NEO4J
AWS ATHENA

SYSTEM CAPABILITIES

CONNECT

OAuth & token refresh with Shopify, Klaviyo, Hotjar, Meta, MS Clarity, etc.

TRANSFORM

Pre-built dbt models and vectorization for text & images

LOAD

Auto-create indexes, databases, and schemas for your data

MCP TOOLS

Create MCP tools in dtc.sh MCP server to make data accessible to AI agents

SYSTEM MESSAGE

THE FUTURE BELONGS TO AI-NATIVE BRANDS

ar.chitect works hand-in-hand with a.gentic to transform e-commerce brands by building custom AI capabilities directly into your infrastructure — not locked in someone else's SaaS platform. While traditional software vendors are still selling you yesteryear's CRUD forms with a fresh coat of paint, we're creating your AI-native nervous system.

The agent economy won't be kind to brands waiting for quarterly feature releases or trapped in rigid workflows. The future belongs to brands that deeply integrate with AI, not those still clicking through the same old interfaces while the world moves on.

PRODUCT VISION

"Connect your SaaS tools, pick your landing zone (TimescaleDB + Pinecone + Neo4j), and we'll deliver a consistent schema, embeddings, and ready-to-call agent tools — no YAML spelunking required."

CORE MODULES
1
Data Connectors
2
Vector & Graph Builders
3
MCP Tool Generator
4
Orchestration & Observability
5
Starter Agent Templates
KEY FEATURES
  • Vector Search: Enables natural language product exploration and sophisticated chatbots
  • Customer Journey Graph: Track complex relationships between customers, products, and marketing responses
  • Autonomous Optimization: AI agents analyze behavior patterns and implement conversion improvements
  • MCP Server: Connect your data directly to AI assistants like Claude and ChatGPT, as well as Slack

DATA TRANSFORMATION PIPELINE

PHASE 1: DATA EXTRACTION

Pull data from SaaS platforms via APIs and webhooks

PHASE 2: SCHEMA MAPPING

Transform disparate data formats into a unified schema

PHASE 3: VECTORIZATION

Convert text, images, and structured data into vector embeddings

PHASE 4: DATABASE LOADING

Populate TimescaleDB, Pinecone, Neo4j, and AWS Athena with processed data

PHASE 5: MCP TOOL GENERATION

Create tools in dtc.sh that enable AI agents to access and utilize the transformed data

SYSTEM ALERT

BEYOND SAAS: OWN YOUR AI FUTURE

While outdated SaaS products rent duck-taped AI capabilities, you'll own a custom agentic system built specifically for your brand. a.gentic provides the expertise and implementation—you get complete ownership and a powerful competitive moat.