CUBE27 builds production AI systems that turn fragmented data, documents and workflows into intelligence that teams can act on.
Product systems
We build focused systems for workflows where teams spend too much time collecting information, reconciling data, reviewing documents or figuring out what changed.
Understand how your brand gets discovered, cited and recommended by AI.
Track visibility across answer engines, compare competitors, understand the evidence behind recommendations and identify what your site should improve next.
Turn changing ecommerce data into competitive intelligence.
Discover comparable products, extract structured product information, normalize attributes, monitor prices and availability, detect meaningful changes and deliver intelligence into downstream systems.
Connect purchase orders, deliveries, invoicing and receipts in one operational flow.
Give supplier teams a single view of commitments, dispatches, invoices, outstanding quantities and reconciliation—without managing the process across disconnected spreadsheets and documents.
Turn tender documents into faster, evidence-backed responses.
Capture opportunities, centralize tender documents, extract requirements, summarize large submissions and use AI to help teams draft responses without losing the source evidence behind them.
AI systems, built for production
Context you can trace.
Give models the right business context at the moment it is needed — with traceable source evidence.
Behaviour you can shape.
Adapt model behaviour when prompting and retrieval alone cannot reliably deliver the required behaviour.
Actions within boundaries.
Define what AI can do, what requires approval and how uncertainty or failure is exposed to users.
Efficient at production scale.
Reduce repeated inference, latency and model spend without sacrificing freshness where it matters.
Learn.
Capture corrections and outcomes so systems become more useful through real operational use.
Verify.
Test multi-step AI behaviour against known scenarios before trusting it with important workflows.
Understand.
Measure quality, latency, cost, failures, tool calls and model behaviour in production.
How we build
Our products may work with websites, product catalogs, purchase orders or tender documents, but the underlying challenge is remarkably similar.
Bring together the documents, systems and signals needed to understand the workflow.
Use deterministic processing, retrieval and models to classify, compare, extract and reason.
Move from isolated chat to actions, recommendations, approvals and operational interfaces.
Capture outcomes, failures, costs and user feedback so the system can be improved.
Tell us where your team loses time to collecting information, reconciling data or reviewing documents. We will show you what a production system around it looks like.
