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Zell Analytics
Platform

Insight delivered in the format your team prefers.

Zell Analytics is a modular analytics platform for digital infrastructure. One reconciled dataset powers five delivery formats — Deck, Dashboard, Workbook, live Console and MCP access — so each business function gets content and insight in the tool they prefer.

Get in touchSee how it arrives
Same data foundation
Delivery formats
Deck
Executive narrative
Dashboard
Interactive analytics
Workbook
Drill-down
Console
Live intelligence
MCP
AI access
One reconciled base. Format matches audience.
The platform

Three layers. Adopt one. Adopt all three.

Data Foundation, Analytics Engine, Intelligence Layer. Each layer stands alone or stacks. Most customers start with the layer that closes their most expensive gap and extend from there.

Your data
  • Strategy
  • CRM
  • Billing
  • Payments
  • Opex
  • Capex
  • Operations
  • Customer Support
  • Geospatial
External data
  • Macro
  • Benchmarks
  • Geospatial benchmarks
  • Credit Information
Trustworthy by design
Every input arrives standardised — schema, domain and classification defined — so any layer can consume it.
Data Foundation
Data Ingestion & Orchestration
Secure Data Lake
Analytics Engine
Industry-Specific Calculation Modules
Bring Your Own Model
Intelligence Layer
MCP Access
Insight Agent Framework
Adopt a module, a layer, or the full platform.
Data Foundation

Ingest every relevant system, reconcile it, and make it trustworthy. The source your finance and ops teams can point at without arguing about numbers.

Analytics Engine

Industry-tuned calculation modules — revenue assurance, ARPU and churn decomposition, segment economics, performance benchmarking. Or bring your own: promote the Excel models your team already trusts into the platform, run on reconciled data and governed like every other module.

Intelligence Layer

Agents that read the reconciled data and return structured, decision-ready conclusions: drivers, risks and recommended actions — reachable through MCP from the AI tools your team already uses, like Claude and ChatGPT.

For the technical substance — isolation, data lifecycle, AI safety, deployment — see the Architecture page.
How insight arrives

Your exco reads narrative. Your finance team opens Excel. Your commercial team tracks growth. Everyone uses AI. Zell feeds all of them.

Delivery format matches audience. Every artefact here runs in production with customers today, all from one reconciled dataset.

Deck
Monthly overview
Revenue growth 2.1% · YoY narrative
Revenue
148.2m
Customers
18,428
ARPU
589

Revenue grew 2.1% to 148.2m, held back by churn at Meridian Fibre and Harbour Networks on the symmetric 1 Gbps tier — 2.4% of revenue, but 19% of that product line. Recommended: retention outreach and a pricing review on the tier.

Executive narrative

Deck
Audience · CEO, CFO, board
Cadence · Monthly · Distributed at exec review

FYTD revenue, closing customers and ARPU on the cover. Top-20 customers, top-3 contributors to growth and decline, product-variance tables. Written commentary generated from the underlying movement.

BI
Finance analytics
148.2m
+2.1%
52.00
−1.7
18,428
−6.4%
4,912
+0.9%

Finance analytics

BI
Audience · Finance team, commercial analysts
Cadence · Live · Refreshed against the reconciled dataset

Payments, receipts, aged positions, margin by product and customer. Drill from headline to transaction without leaving the tool.

Console models
Revenue forecast
Controls
Scenario
Base▾
Horizon (mo)
12
Sensitivity
Escalation1
Churn1
Gross adds1
Opening
248.8m
Closing
262.8m
Growth
+5.6%
BaseBearBull

Bring your own model

Console models
Audience · Finance, commercial and strategy teams
Cadence · Live · Driven by reconciled data

Bring any Excel model your team already runs and plug it into the Console, now driven by live, reconciled data instead of static extracts. Scenario, horizon and sensitivity controls stay in your hands, and every figure refreshes as the business moves.

Excel
Exec Summary
Insights 1M
Insights 3M
Product Trend
Customer Trend
Segment
Customers
Rev
Δ MoM
Top churn driver
Region A · Premium
8,421
14.9m
−3.2%
Service (38%)
Region B · Standard
11,208
18.2m
+1.6%
Price (22%)
Channel · Plus
6,045
7.8m
+4.1%
Renewal (61%)
Region C · Basic
4,912
4.6m
−0.8%
Competitor (44%)

Drill-down workbook

Excel
Audience · Finance team analysts, ad-hoc work
Cadence · Monthly · Flash insights refreshed each cycle

Executive summary on the cover. One-month and three-month flash insights by customer and by product. Product migration analysis and full reconciliations.

MCP
AI assistant · connected to Zell via MCP
Why did revenue growth slow last month?
Growth eased to 2.1% last month. Two accounts drove most of it — Meridian Fibre and Harbour Networks, both on the symmetric 1 Gbps tier. Together they're 2.4% of total revenue, but 19% of that product line — so the impact concentrates there.

Bring your own AI

MCP
Audience · Any team, in the AI tools they already use
Cadence · Live · Grounded in the reconciled dataset

Connect Claude, ChatGPT or any MCP-compatible tool straight to Zell. Your team asks questions in the AI client they already use and gets answers grounded in the reconciled data and agent outputs — no new tool to install.

Capabilities

A catalogue of agents, grouped by business function.

Zell operates a library of domain-specific agents, organised across four tiers by business function — Financial, Commercial, Operational and Executive. Each runs on a different slice of your data.

01

Calculation in Zell

Every reconciliation, every metric, every number runs deterministically inside Zell. The LLM never produces a number.

02

LLM in your environment

Calculations turn into narrative through an LLM running inside Zell. Azure OpenAI by default. Anthropic, Google and other compatible major providers configurable per customer.

03

Learns from engagement

Agent context sharpens as your team uses Zell — from what gets discussed, actioned and refined.

Extending the catalogue

New agents, added as your data unlocks them.

Adding an agent is fast. Each one is tuned to your industry, your data and the questions your team keeps coming back to — deployed inside your dedicated environment, governed the same way as the rest of the platform.

Tuned to industryTuned to dataInside your tenantSame governance
Worked example

See the platform live for fibre operators.

Fibre-tuned agents, the flash-insights output pattern, and a worked picture of what the platform delivers for a fibre network operator today.

See the FNO example
Get in touch

See what your data is really telling you.

A pilot starts by processing your historical line-level revenue data. The first diagnostic insight is delivered within days of onboarding.

Get in touch