Every enquiry answered.
Every unit in view.

Connect CRM, ERP and property records so teams can answer an enquiry with context and keep the next action accountable.

  • Enquiries reach an answer

    Ground customer workflows in the permitted record.

  • One property data view

    Join unit, leasing and sales information.

  • People own the decision

    Keep review and escalation in customer-facing workflows.

70% faster customer response · Danube Group

EnquiriesUnit registerCRM recordPermitted fieldsReplyReply windowFollow-up

Connect the enquiry
to the right record.

Customer conversations, unit records and sales reporting live in different systems. Connect the data so teams can respond with context and track what happens next.

  • Join the property record

    Map CRM and ERP fields into a checked model.

  • Keep the conversation useful

    Carry context across turns and escalate to a person.

  • Keep actions accountable

    Define what an agent may do and who approves it.

This is the right partner when

  • Enquiries wait while staff search across systems.
  • CRM and ERP disagree on the property record.
  • Customer agents need clear permissions and escalation.

Data and AI work
for property teams.

Start with the decision, follow the data, and leave each engagement with something your team can use.

  • Your casesGateYour systems

    Customer and leasing agents with context

    Ground customer workflows in approved CRM and property data. Give staff an accountable path from enquiry to next action.

    You receiveGrounded tool path

    Delivered through Agentic AI
  • SourcesCheckedConformed

    CRM and property data together

    Connect CRM, ERP and unit records through reusable mappings. Validate the model before reports and agents use it.

    You receiveOnboarding runbook

    Delivered through Data Integration
  • QuestionSemantic modelGold layer

    Portfolio and sales reporting aligned

    Agree definitions across leasing, sales and portfolio teams. Put those definitions into one semantic model.

    You receiveSemantic model

    Delivered through Analytics & BI
  • IdentitySafetySource

    Controls where agents meet customers

    Scope the agent’s identity, tools and permitted actions. Keep consequential customer decisions behind human sign-off.

    You receiveSign-off design

    Delivered through Trust Layer
The Mandelbulb Kit Real Estate edition

Engineered in-house.
The Mandelbulb Kit.

Accelerators, agents and products we build and maintain ourselves, brought into an engagement wherever they fit.

CallerAgentSupervisorTone changeContext keptClean handover

Voice agents · Answer with context

TheTranquil

Voice conversations that keep their context and know when to hand over.

  • Detects tone and handles interruptions
  • Keeps context across turns
  • Escalates cleanly to a supervisor

Questions buyers ask.

How is AI used in real estate?

In real estate, AI is most useful for answering enquiries with context and keeping property data consistent across CRM and ERP. We ground customer and leasing agents in approved CRM and property data, connect CRM, ERP and unit records through reusable mappings, and put leasing, sales and portfolio definitions into one semantic model. People keep ownership of consequential customer decisions.

Which data platform suits a real estate team?

Property teams need a platform that joins CRM, ERP and unit records into one checked model, and the choice is open: Microsoft Fabric, Databricks or BigQuery for data, with Azure OpenAI, OpenAI, Anthropic, Gemini or a self-hosted model for AI. From the Mandelbulb Kit, TheTranquil answers enquiries by voice in the caller’s language, and Blumcore runs agents that act inside customer workflows.

How should a real estate company start with data and AI?

Start with the customer workflow or property-data gap that keeps enquiries waiting. Bring it to a 30-minute working session and we agree a bounded next step, such as connecting CRM, ERP and unit records into a validated model, or grounding one enquiry workflow in the permitted record with a clear path to a person.

What governance do customer-facing agents in real estate need?

Define what a customer-facing agent may do, and who approves it, before it goes live. Scope the agent’s identity and permitted actions, ground it only in approved CRM and property data, and keep consequential customer decisions behind human sign-off. Conversations should carry context across turns and escalate to a person when needed, so staff inherit the full picture.

What does a first real estate engagement deliver?

A first engagement delivers one artifact scoped to a bounded problem. Depending on the starting point, that is a grounded agent path for one enquiry workflow, an onboarding runbook for CRM, ERP and unit records, a semantic model for portfolio and sales reporting or a sign-off design for customer-facing agents. It is scoped in the first working session, fixed price, and the findings are yours.

Partners and recognition.

  • Microsoft 2024 Partner of the Year, Analytics Award Finalist
  • Microsoft Fabric Featured Partner
  • Microsoft Solutions Partner
  • Google Partner
  • Databricks
  • Anthropic
  • OpenAI

Bring the enquiry
that keeps waiting.

Bring the customer workflow or property-data gap. We will agree a bounded next step in a 30-minute working session.