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AI ENGINEERING PARTNER

AI systems that stay grounded when the work gets real.

Cube27 designs and builds reliable AI systems for teams that need more than a compelling demo: context-aware, observable, measurable, and ready to operate.

Map your production path Explore the patterns
SYS: C27-PRD PATH: ACTIVEMODE: CONTROLLED

Engineering posture

Production AI for real work.

Data, controls, and interfaces for reliable AI workflows.

Trusted data

Ground every answer.

Retrieval · provenance
Controlled automation

Automate with limits.

Tools · approvals
Live signals

Measure what matters.

Quality · cost · latency
OUTCOMEReliable AI in daily workflows.

Production patterns

Production AI patterns.

The building blocks for reliable AI systems.

RAG systems

Retrieve trusted context.

Fine-tuning

Tune model behaviour.

Caching

Reduce cost and latency.

Guardrails & defensive UX

Set safe boundaries.

User feedback loops

Learn from real use.

Agentic evaluations

Test agent behaviour.

LLM observability

Track live systems.

Product systems

AI products for operational teams.

Built around data, documents, decisions, and daily work.

4 PRODUCT SYSTEMSMarketing · Commerce · Bids · Operations
IV-02Commerce intelligence

Invoro

Track product, price, and availability changes with confidence.

BEST FORRetail & market intelligence
OUTCOME METRICTime to market-change signal
CL-01Search & visibility intelligence

CiteLadder

Make owned content easier to find, trust, and recommend.

BEST FORMarketing & ecommerce teams
OUTCOME METRICAnswer-engine citation share
SS-04Business operations systems

SalesERP

Keep purchasing, delivery, and invoicing in one flow.

BEST FORSuppliers & distribution teams
OUTCOME METRICOrder-to-invoice cycle time
RF-03Bid & proposal operations

RFPmanager

Turn tender documents into faster, governed responses.

BEST FORB2B services & public procurement
OUTCOME METRICRFP response turnaround

How we work

Start with the decision. Build the system around it.

The goal is not to introduce AI everywhere. It is to make one valuable workflow faster, clearer, and more capable — then expand from a working foundation.

Bring us a workflow
  1. 01

    Map

    Clarify the workflow, decision points, risks, and source systems.

  2. 02

    Architect

    Choose the smallest reliable stack of models, data, tools, and controls.

  3. 03

    Instrument

    Make quality, latency, cost, and failure modes measurable from the start.

  4. 04

    Operate

    Ship with feedback loops, governance, and a clear path to the next capability.

YOUR NEXT SYSTEM

Let’s turn an AI idea into an operational advantage.

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