Built with CAIT AI

An Ecosystem of Intelligent Products

Every CAIT product runs on a shared core for orchestration, governance, and continuous learning. The result is a product suite that improves with each deployment.

One Core, Multiple Product Lines

CAIT AI Core standardizes context, execution, and observability across our ecosystem. Teams can launch focused applications without rebuilding infrastructure for each new workflow.

From catalog intelligence and risk automation to infrastructure optimization, each product contributes telemetry and learnings back to the platform, increasing performance and product velocity over time.

CAIT AI Core

CAIT AI Core

Live

The backbone of intelligent systems

The foundation that powers every widget, workflow, and insight across the ecosystem. Unifies data, orchestration, and intelligence — the single layer where everything connects, learns, and evolves.

For: Developers, platform teams, and enterprises

PACTIQ

PACTIQ

Live

Catalog enrichment & sync for Shopify

Clean, enrich, and synchronize product catalogs—titles, attributes, and imagery—across Shopify and every sales channel. Automated validation, channel mappings, and real-time sync reduce manual fixes and speed launches.

For: Shopify merchants and ecommerce teams

LARA

LARA

Beta

Security & compliance automation

Automate security checks, compliance evidence, and resilience testing across services and environments. Integrates with CI/CD to enforce policies, surface risks early, and keep workflows audit-ready.

For: Developers, DevSecOps, and compliance teams

Orquestra

Orquestra

Live

Document ingestion, review, and endpoint orchestration

Ingest documents from uploads and watched sources, normalize them into structured workflows, route exceptions to review, and deliver validated outputs to ERP systems, downstream apps, or custom endpoints with deterministic guardrails.

For: Operations teams, order management teams, and integration owners

NIA

NIA

In Development

Neural Infrastructure Assistant for inference optimization

Continuously profiles and optimizes inference workloads across GPUs and clouds. Recommends model, runtime, and routing improvements to reduce latency and cost.

For: ML engineers and platform/infra teams

ANA

ANA

In Development

AI‑aware neural architecture optimization

Adaptive architecture design that aligns models to real hardware constraints. Improves latency and cost by tuning for CPU, GPU, and edge targets.

For: AI research and platform teams

Deploy One or Deploy the Full Stack

Start with a single product and expand as your workflow footprint grows. Every deployment benefits from the same shared intelligence layer.