Head of Sales and Co-founder

AI\-Powered Semantic Analytics Platform \| UK Market PositioningThe Opportunity in the UK Market

The UK enterprise market is entering a new phase of AI adoption. Over the past decade, organisations have invested heavily in cloud infrastructure, ERP modernisation, business intelligence platforms, and data transformation programmes. Yet despite these investments, most enterprises still struggle to turn fragmented data into fast, trusted business decisions.

Executives are overwhelmed by dashboards but lack clarity.

Data teams are overloaded with ad hoc requests.

Business users depend on analysts for answers that should take minutes, not days.

And while AI adoption is accelerating, many organisations are discovering that generic “chat with your data” tools fail because they lack governance, business context, and trusted semantic understanding.

This is where our platform comes in.

We are building an AI\-powered analytics platform underpinned by a semantic intelligence layer, enabling organisations to interact with enterprise data using natural language while maintaining governance, accuracy, and business meaning.

Unlike generic AI copilots, our platform is designed for enterprise\-grade analytics environments where trust, consistency, and operational context matter.

The platform enables organisations to:

• Ask complex business questions in plain English


• Access governed insights across fragmented systems


• Standardise KPI definitions and business metrics


• Reduce dependency on data teams for routine analysis


• Empower executives and operational leaders with self\-service intelligence


• Accelerate enterprise decision\-making using AI

Why the UK Market Matters

The UK is one of Europe’s most mature enterprise software and analytics markets.

Organisations across financial services, telecoms, retail, healthcare, government, and infrastructure are actively modernising their analytics capabilities while exploring AI\-powered operational decision\-making.

At the same time, many enterprises face common challenges:

• Low dashboard adoption


• Siloed reporting environments


• Inconsistent metrics across departments


• Slow access to insights


• Growing pressure to operationalise AI safely and responsibly

The emergence of AI copilots has increased executive awareness of conversational analytics, but most current solutions remain generic, unreliable, or insufficiently governed for enterprise deployment.

The opportunity is not simply “chat with dashboards.”

The opportunity is building a trusted semantic intelligence layer that sits between enterprise data and business decision\-makers.

Our Strategic Positioning

We are not building another generic AI assistant.

We are building:

• A semantic intelligence platform for enterprise decision\-making


• A trusted conversational analytics layer


• An AI\-native operational intelligence interface for modern enterprises

Our differentiation comes from:

• Semantic governance and business context


• Enterprise\-grade security and access control


• Trusted metric standardisation


• Cross\-system operational intelligence


• Natural language analytics grounded in governed data models

Ideal Customers

Our initial focus is on:

• Mid\-market and enterprise organisations


• Data\-mature organisations modernising analytics workflows


• Enterprises with fragmented reporting environments


• Organisations investing heavily in AI transformation and operational efficiency

Priority sectors include:

• Financial Services


• Telecoms


• Retail \& E\-commerce


• Energy \& Utilities


• Healthcare


• Government \& Public Sector


• Infrastructure \& Transportation

Why Now

The timing for AI\-native analytics infrastructure is significant.

Three trends are converging:

• Enterprises are actively searching for practical AI applications with measurable ROI.


• Existing BI and reporting environments are failing to scale operationally.


• Executive demand for direct access to insights is increasing rapidly.

At the same time, semantic technologies and large language models have matured enough to make conversational enterprise analytics viable for real\-world adoption.

The next generation of analytics platforms will not be dashboard\-first.

They will be intelligence\-first.

And the organisations that successfully operationalise trusted AI analytics will gain a significant competitive advantage in decision\-making speed, operational efficiency, and organisational visibility.

Note: This is Equity only role with Commision on target. Salary after pre\-seed round.

Pay: £1\.00\-£2\.00 per year

Work Location: Remote

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