ArborSpace

The knowledge layer for expert firms.

Between your applications and your data platform: a model of your domain, your experts’ rules, and every conclusion traced to its source.

  • Readable rules
  • On your premises
  • Six-week pilot

Due diligence, technical consulting, commodity trading. ArborSpace captures what your experts know, in a form the system can apply and your teams can review.

Discuss a pilotRead the brief
Review queueDue diligence · Plant A
  • VIB-002Vibration above 8.2 mm/sto review
    • AssetClass 7F gas turbine
    • SiteCombined-cycle power plant
    • EngagementTechnical due diligence
    • LenderThe bank financing the asset
  • TMP-014Exhaust temperature spreadto review
  • MNT-007Overhaul interval exceededapproved
Illustrative example

Why ArborSpace

Your applications record what happened. Your data platform stores everything. Neither knows what it means.

Each business application holds one slice of an asset (maintenance in one, contracts in another, finance in a third), with logic fixed by its vendor. Data platforms such as Databricks can hold all of it, but as tables: the meaning is rebuilt by hand, project after project. Dashboards sit on top and show numbers, not reasons.

ArborSpace is the layer in between. It holds a model of your domain (assets, engagements, contracts and how they connect), runs your experts’ rules on it, and traces every conclusion back to its source before a person signs it off. It does not replace your applications or your data platform. It gives them a shared meaning.

Generic platforms

Built for very large organisations.

They can build ontologies, but rarely ship a ready-to-use domain model.

  • You model the business from scratchThe domain model is the client’s job to build.
  • A Foundry-sized budgetOut of reach for an expert firm.
  • A dedicated modelling teamWhich a firm of experts does not have.
ArborSpace

Sized for a firm that sells expertise.

Not a chatbot over your documents, nor a better search.

  • A domain model, deliveredEnergy assets and due diligence engagements, ready to adapt.
  • Rules your experts can readEvery conclusion traces back to a named rule.
  • A pilot in weeksOn your premises, with code you can audit.

How it works

The rule is the unit of value.

Expert knowledge written down explicitly, which the system applies and anyone can review.

  1. Define

    The firm declares its vocabulary in the ontology: asset classes, engagements, stakeholders and how they relate.

  2. The system works

    Rules run against the data, and a similarity engine matches each case with the firm’s previous ones.

  3. People decide

    Every conclusion arrives as a finding in a review queue. The expert approves or rejects it, and that decision feeds the memory.

What sets it apart

Built for the way expert firms work.

A domain model, not a blank page

ArborSpace ships with a first model of the domain (energy assets, due diligence engagements) that the firm adapts rather than builds.

Readable rules

Rules are declarative and inspectable: every conclusion traces back to a named rule and an explicit path of relationships.

On your premises

Deployed in the client’s environment, on site or in its own cloud, with code the client can audit.

Sized for a firm

A pilot is measured in weeks, not in a transformation programme.

The pilot

Six weeks on a narrow scope of your firm.

The question to answer at the end is simple: is the captured memory worth extending to the rest of the firm?

Discuss a pilotHow the pilot works
  1. Weeks 1–2Write the first fifteen rules, starting from three questions put to your experts.
  2. Weeks 3–6Apply them to your own engagements.