You don’t need more AI features.
You need context that performs.

You know your stack wasn't built for AI and bolting on LLMs just exposes the mess underneath.

That's why Chord decided to help you solve the root of your issue—not by adding another tool, but by giving you the data foundation your current stack is missing.
Chord AI Architecture diagram

When you're running AI against:

  • fragmented order and customer history
  • brittle ETL and schema inconsistencies
  • reprocessed event streams and overlapping identities

You have to deal with:

  • hallucinated outputs
  • ballooning latency and costs
  • zero confidence in what the model spits out

Chord AI: Data Engine + Copilot, Built for Commerce

Chord AI Data Engine overview
The foundation

Context Data Engine

Unified schema modeling: stitches customer, order, and marketing data into a commerce-native model

Context compression: condenses long-tail history while preserving LTV, attribution, and SKU-level signals

Real-time sync: near-instant ingestion, no brittle pipelines or overnight jobs

Governance & guardrails: identity resolution, compliance, and reasoning isolation ensure outputs are safe and verifiable

The AI layer

Commerce Copilot

Conversational analytics: natural language queries over governed, normalized data

Predictive recommendations: budgets, audiences, campaign timing, surfaced in real time

Activation built in: push clean segments and actions into downstream tools via API

Low-latency inference: pre-structured context enables instant responses at scale

Why it matters: Instead of duct-taping an LLM onto fragmented data, Chord provides both the clean inputs and the intelligent outputs—in one architecture. That’s the only way to get AI that works.

Chord Copilot diagram

Chord AI: For all sides of the stack

For Technical Teams

Unified data, built for scale

• Unified schema modeling: Normalize customer, order, and marketing data into a commerce-specific structure.
• Context compression: Preserve history (LTV, cohorts, attribution) while fitting into efficient context windows.
• Real-time sync: Near-instant ingestion without brittle ETL or overnight jobs.
• Governance and guardrails: Identity resolution, reasoning isolation, and compliance make every output accurate, auditable, and explainable.
• Ready out of the box, flexible by design: Works immediately, but integrates with your existing stack where you need it.

For Marketing Teams

Confident decisions, faster growth

• Chord Copilot: Ask questions in plain language, get instant answers, set alerts, and push campaigns into tools like Klaviyo or Meta, all from one interface.
• Trusted insights: Eliminate the manual work of stitching dashboards or reconciling numbers across tools. Answers are unified, accurate, and real-time.
• Smarter activation: Predictive segments, campaign timing, and budget recommendations grounded in real signals.
• Faster execution: 2x faster campaign velocity with fewer manual handoffs.

For Ops Teams

Efficiency you can measure

• Consolidated stack: Replace at least five disconnected tools — and the contracts, vendors, and relationships that come with them — with one unified platform.
• Time savings: Cut manual reporting cycles in half and eliminate spreadsheet workarounds.
• Trusted data: Chord gives full transparency into the raw data and logic behind every output, so you can check the work instead of taking it on faith.
• Faster delivery: Move from weeks-long reporting queues to real-time answers marketing and leadership can act on immediately.
• Lower overhead: Save on infrastructure costs and ongoing maintenance by reducing tool sprawl by 25% or more.

chord ai

Integrates with your stack. Not a replacement for it.

We integrate with the tools you already use. No rip-and-replace required.You’re replacing the glue layer that never worked, so your existing stack works smarter, scales faster, and becomes AI-ready when you are.

Prebuilt integrations
  • Commerce: Shopify, Magento, Salesforce Commerce Cloud
  • Marketing: Klaviyo, Meta, Iterable, Attentive
  • Data: Snowflake, BigQuery, Databricks
  • BI: Looker, Tableau
A list of integrations that come with Chord AI out of the box.