Spontaine

Connect ERP, CRM, finance, operational systems, databases, spreadsheets, documents and other enterprise sources.
Spontaine works with the technology landscape you already have. Information can be ingested where deeper modelling is required and accessed from source systems where live information matters.

No unnecessary rip-and-replace. No need to make another major system migration the starting point.

This is one of the fundamental differences of Spontaine. Business users can define the meaning of their organisation in language they understand. KPIs. Definitions. Formulas. Calculations. Relationships. Business rules. Hierarchies. Thresholds. Exceptions.

These can be created and maintained through Spontaine without engineers having to code every business requirement. Instead of telling a developer what Gross Margin, Customer Churn, Capacity Utilisation or Revenue per Customer should mean and waiting for that logic to be implemented somewhere, authorised employees can describe and govern those definitions directly. Spontaine turns them into reusable business logic.

The people who understand the business can define the business.

Revenue should mean the same thing whether it appears in a management dashboard, an operational report, an AI conversation, an application or a customer portal.

Spontaine creates a governed semantic foundation containing the definitions, relationships, calculations, context and business logic that determine what your organisation’s data actually means.

Each important definition can have an owner. Changes can be governed. Access can be controlled. And the resulting business language can be reused throughout the organisation.

Define once. Govern centrally. Use everywhere.

Users can ask questions in the language of the business rather than translating every new question into another reporting or IT request. Spontaine combines the question with:

• Your governed business definitions
• Organisational context
• Access rights
• Business rules
• Relationships
• Underlying enterprise data

to produce an answer that can be explored and acted upon. Answers remain grounded in the business definitions and information from which they were produced.

You don’t just get an answer. You know what the answer means.

Most AI systems answer a question and then start again with the next prompt.

Spontaine introduces a fundamentally different model. A valuable analysis can become a Persistent Block: governed, reusable intelligence that continues to work as the underlying data changes.
Once established, users can:

• Refresh it
• Filter it
• Drill into it
• Visualise it
• Incorporate it into dashboards
• Use it within workflows
• Make it available through an API
• Let applications consume it
• Let AI agents use it

without asking an AI model to recreate the underlying analysis every time. This has two important consequences.

Faster – The organisation does not repeatedly solve the same analytical problem.
More economical – Recurring use of established intelligence can avoid unnecessary AI inference.

Create intelligence once. Use it again and again.

Persistent Intelligence changes the economics of Enterprise AI

Generative AI is powerful, but every inference consumes computational resources. If hundreds or thousands of employees repeatedly ask similar questions, a conventional AI architecture can repeatedly spend tokens reconstructing answers the organisation has effectively produced before.

Spontaine separates discovery from reuse. AI can help create and explore new intelligence where reasoning adds value. But once valuable intelligence has been established and governed, Spontaine can persist it as a reusable capability. Refreshing, filtering and drilling into established Persistent Intelligence does not need to mean regenerating the entire analysis through an LLM.

The result:

• Less repeated AI inference
• Lower token consumption for recurring analytical use
• More predictable operational costs
• Faster response for established intelligence
• Greater consistency between users
• Better economics as adoption increases

Use AI where reasoning adds value. Reuse intelligence where reasoning has already been done.

That distinction becomes increasingly important as Enterprise AI scales from tens of users to hundreds or thousands.

Governed intelligence does not have to remain inside Spontaine.

The same definitions, business logic and analytical capabilities can power:

• Executive dashboards
• Operational dashboards
• Existing BI environments
• Business applications
• Secure APIs and endpoints
• Automated alert
• Operational workflows
• AI assistants
• Autonomous AI agents
• Customer and partner portals
• Customer-facing digital services

Build the intelligence once. Let it work everywhere.

Once your organisation’s data, definitions, formulas, business logic and expertise have been captured in a governed and reusable form, something important happens:

They become building blocks for innovation.

The same intelligence foundation can be used to create:

• New internal applications
• New operational capabilities
• AI-powered services
• Decision-support tools
• Customer and partner portals
• Embedded intelligence
• Automated processes
• Data-driven services
• New customer propositions
• Entirely new digital products

And because these capabilities build on intelligence that already exists, each initiative does not have to start again from raw data.

The connections already exist. The definitions already exist. The formulas already exist. The business logic already exists. The access rules already exist. The intelligence already exists.

And authorised business users can evolve much of that foundation themselves — without another software-development cycle every time the business changes.

Innovation becomes an extension of the intelligence foundation rather than another standalone IT project.