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Explore our AI & Digital Products Suite

Some problems come up often enough that we made the answer already. Nine products, each configured to your data and your rules, running inside the systems you already have.

The suite

Nine products.

What each one does, and the teams that use it.

Sales and marketing

TabyGen

Reads every sales conversation, updates the deal strategy, and coaches the rep before the next call.

SalesforceHubSpotZohoZoomTeams
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Sales and marketing

Lead Enrichment Agent

Give it a name and a city. It returns the buyer: what they can spend, how they decide, what to offer them, and where they rank against every other lead you hold.

MarketingSales
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Learning and enablement

TabyLearn

An LMS that goes to your people. Courses and five-minute lessons land in WhatsApp, Slack and Teams, gaps are found per person, and the uplift is scored week by week.

WhatsAppSlackMicrosoft Teams
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Real estate and REITs

REIT Intelligence Platform

Runs the reporting a listed REIT owes its investors and its regulator. Lease drafts checked against your standard clause by clause, policies compared year on year, factsheets and analyst answers drafted from your own numbers.

LeasingInvestor relationsFinanceRisk
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Document and data work

Document Intelligence Engine

Every document that arrives, read and understood. Invoices, KYC packs, claim forms and purchase orders, in whatever format they turn up in, each one sent where it belongs.

FinanceProcurementHRServiceProjectsSupply chain
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Risk and compliance

Continuous Compliance Monitor

Checks every record against the rule while the work is happening, and keeps the evidence behind each check. An audit becomes a query against what is already there.

FinanceRiskProcurementHRMarketingService
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Legal and procurement

Contract Risk Analyser

Reads the contract, marks every clause that departs from your standard, and turns the obligations and the renewal dates into dates somebody owns.

ProcurementFinanceRiskProjectsHR
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Supply chain and operations

Supply Chain Control Tower

Forecasts demand, and names the shipment about to run late while there is still time to do something about it. Supplier reliability scored from your own delivery history.

Supply chainProcurementProjects
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Plant and assets

Predictive Maintenance System

Reads the signals your plant already produces and calls the failure before the line stops, with the evidence for the call attached.

Plant and operationsEnergyInfrastructure
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Deployment

How a product is deployed.

The model and the workflow are already built. Your data, your rules and your systems are the work.

01

Configured to your data

A product arrives with the model and the workflow already built. What changes is your documents, your rules, your fields and your thresholds.

02

Inside your own systems

It reads from and writes back to the systems you already run. Your ERP or your CRM stays the system of record.

03

In your own tenancy

Deployed inside your cloud boundary. What leaves it, if anything does, is agreed and recorded before anything is built.

04

Run by your team

Rules, thresholds and mappings live in a console your own people manage. A changed rule does not need us and does not need a release.

Custom build

If none of these fit, we build it for you.

We build custom AI systems and software from scratch, for the problems no product on this page covers. A product handles the part of a problem that repeats; the rest is a build, done by the same team in the same engagement. Most deployments are some of each, and they are scoped and priced as one thing.

If you know the shape of the thing you need, start at Custom AI & Digital Build. If you are still deciding what is worth building, start at Consulting & Advisory.

FAQs

Questions people ask about the suite.

Is a product here something we buy off the shelf?

It is software we have built before, configured to you. The model, the workflow and the screens exist on day one. Your documents, rules, fields and thresholds are the work.

How far can one be changed?

As far as you need. Where a product stops matching the job we build the rest of it, which is the same team and the same engagement. Most deployments are a product plus some build.

Where does the data sit?

In your own cloud tenancy. Where a hosted model is used for language work, what is sent to it is agreed and recorded before anything is built.

None of these are our problem. Then what?

Then it is a build. Bring the process and the number it runs at today, and we scope it from there. See Custom AI & Digital Build.

Send us the process, and we will tell you which one fits.

Describe the workflow and what it costs you today. We call you within 48 hours and go through which product covers it, what would have to be built around it, and what the first eight weeks would look like.

Talk to us