The website is delivered. The £8,400 invoice is overdue, and the client expects to pay Friday.
One business.
One Twin.
Any AI.
Your team already uses Claude and
ChatGPT. Your Twin connects them to the systems you run, so every answer, dashboard and workflow works from live records, not uploaded spreadsheets, and each person sees only what they are allowed to.
Your Twin’s app
Answers, with their sources
Read-only evidence path
Your TwinOne governed picture of the business, built from your records.
Mercury Labs has delivered for
Client work by Mercury Labs, the team behind your Twin.
Spend less time assembling the picture.
Your Twin has its own app, and it also answers inside the AI tools you already use. On their own, those tools search one system at a time.
01Without your Twin
Claude, with its own connector to Outlook, finds two of the three decisions due by Friday, and none of their dates, amounts or owners.
02With your Twin
The same question to Claude with your Twin connected: all three decisions, with their dates, amounts, owners and the system each came from.
03A shared understanding
Your Twin links the same customer across systems and connects their invoices, projects and commitments. The sources stay available to inspect.
Twin chatShared context Retrieved withOne Twin. Your tools. The same business knowledge.Example interfaces · External tools connect with your permission
04A useful answer
Ask the same question in Twin chat, ChatGPT, Claude, Gemini or Copilot, or from your own code through the CLI, SDK and API. Each uses the same connected records and definitions from your Twin. In Microsoft 365 Copilot and Teams, your Twin appears as an agent your team can ask.
Build on it with the AI you already use.
If your team is already building with Claude or ChatGPT, keep going. Your Twin gives those tools live records from your systems, joined and permissioned, so nobody exports or uploads the data first.
01In Claude and ChatGPT
Connect your Twin once. Ask for a chart, a summary or a draft, and the assistant reads the figures from your records when you ask.
02In your own code
The CLI, SDK and API give your scripts and internal tools the same records and the same definitions.
03In your Twin
Save what works as a dashboard your team shares, or run it as a workflow on a schedule.
Connected records refresh on the schedule agreed for each source. Each person, and each tool they use, reads only what they are allowed to see.
Your Twin finds the match. You make the call.
When records in two systems look like the same customer, your Twin brings the match to your Inbox with the evidence side by side. Accept it, decline it or leave it for later. An accepted match can be undone.
An illustration of a proposal in the Inbox. Xero's contact Tarnwick University and HubSpot's company University of Tarnwick look like the same customer: their names are 84% alike and their website domains are identical, at 90% confidence. A person accepts the match, and the two records become one linked customer.
Agree the meaning. Reuse the understanding.
Which records describe the same customer? What counts as overdue? Your Twin connects identities, relationships and definitions, then checks the calculations against your data.
Your Twin’s app · Sample workspace
Define it once. Ask it anywhere.
Ask three people what is overdue and you may get three numbers. Your Twin agrees each definition with you once, then uses it for checked answers wherever your team asks.
An illustration of a definition proposed in the Inbox. From the amount due, due date and status of Xero invoice INV-0027, your Twin proposes what counts as an overdue invoice: money is still owed, the due date has passed, and the invoice is not voided or deleted. On this workspace's data that is 7 of 16 open invoices. A person accepts it. The same thing is then asked in Twin chat and in ChatGPT, in different words, and both answers give £9,223.08 and name the definition and version they used.
01Drafted from your data
Your Twin reads the systems you connect and drafts each definition in plain terms: what it counts, and what it leaves out.
02Accepted by you
Each definition comes to your Inbox. Your Twin uses it for checked answers only once an admin has accepted it.
03Named in checked answers
A checked answer shows the definition and version it used. A change is a new version, back in your Inbox for review.
An answer you can check.
See who owes what, using the same definition of outstanding debt. Inspect the invoices, ageing calculation and sources behind the answer.
Your Twin’s app · Sample workspace
The figures are calculated. Never guessed.
AI models are good with words and unreliable with sums. So your Twin’s graph engine does the arithmetic: it holds your connected records and agreed definitions in memory and works out each figure. The model plans the question and writes the answer round it.
£9,223.08
7 invoices, 4 customers
- Definition
- Overdue invoice v1
- Counted from
- Xero sales invoices
- Read with
- The access of the person asking
- AI model used for the sum
- None
- Same question, same number
- The engine follows your definitions and uses no AI model, so the figure is the same in your Twin’s app, Claude and ChatGPT until the records change.
- Answers in milliseconds
- It is built in Rust and keeps your organisation’s records in memory, so a question across several systems does not wait on each of them.
- Every figure traces back
- Each result comes with what was counted and how, down to the invoices, bookings or tasks behind it.
- Each person’s own view
- It reads only the records the person asking is allowed to see, so a total never includes a row they could not open.
Your Twin. Your infrastructure.
A dedicated server for your business on the Core, Scale and Enterprise plans, with control over where it runs. The Team plan runs on a shared deployment.
European Union
Available today
United States
Available today
United Kingdom
In development
The region is where your server runs. Model processing can take place elsewhere, depending on the provider you use.
- Dedicated server
- On Core, Scale and Enterprise, your Twin runs on a server dedicated to your organisation.
- Read-only connections
- It reads the systems you connect without changing the original records.
- Your model provider
- Requests go to the AI provider configured for your organisation.
- Audit trail
- Checked answers show the definition, version and sources they used.
Cyber security certifications
Mercury Labs, the company behind your Twin, holds both certifications through its legal entity, Mercury Digital Assets Limited. Scope: whole organisation.
Mercury Labs is a Crown Commercial Service supplier.
Why keep AI in the UK
Your question never leaves the UK.
For many firms the hard question about AI isn’t what it can do. It’s where the data goes. A fully UK-hosted Twin keeps the whole path, from the question to the answer, inside the UK.
- 01Say yes to sensitive workClient files, contracts and personal data stay inside the line your policies draw, so AI can reach the work it was kept away from.
- 02No outside model providerPrompts and business context go to a private model on UK GPUs, not to a third-party AI service.
- 03One boundary to reviewServer, storage, model, logs and backups sit in one place, so your security review has one set of answers.
- 04The same checked answersSources, definitions and checks work as they do today, whatever model answers.
Runs on Project Venus, our private model: a draft model that predicts tokens ahead for speed, an adapter trained on real tasks, and no metering on token usage, subject to concurrency thresholds. Read the research
ServerUK datacentre
StorageUK datacentre
Private modelUK GPUs
Logs and backupsIn the UK
Outside AI provider
Not on the route
Your choice of model
Or use the models you already know.
Your Twin can answer through Venus, our private model, or through OpenAI, Anthropic or Google. Whichever you choose, it works from the same records and definitions, and each checked answer shows its sources.
Requests go to the model configured for your organisation.
Your Twin’s app · Sample workspace
Forward-deployed engineering
Our engineers work alongside your team.
Reserve engineering time to connect your systems, check a first workflow or extend your Twin. We agree the work with you.
- 01Work with our engineersWork directly with engineers on your systems, business questions and the results you need.
- 02Faster path to live useConnect the systems for a useful workflow and check the results with your team.
- 03Expand where it helpsAgree additional connections and workflow improvements as your needs change.
£1,200 a day. Larger or dedicated teams are agreed separately. Add engineering days
Your Twin’s app · Sample workspace
We connect the systems. You help define the result.
Start with one important workflow. In two focused weeks, we connect its systems and check the results with your team.
Days 1–5
Connect priority systems
We agree the question, connect the systems it needs and start with read-only access.
Days 6–10
Build and check your Twin
Your Twin connects the records, defines the calculations and tests them against your data. Work that fails the checks is left out.
End of week 2
Review the Twin, then switch it on
Check the result against real business examples with your team. The release stays off until you switch it on.
Get started today on Team, from £75 a user a month on a shared deployment. Core from £3,000 a month with a dedicated, managed deployment and AI usage from £250 a month. Optional engineering at £1,200 a day. See pricing
The questions we hear first.
Keep your existing systems. We agree a first workflow and connect the systems it needs, starting with read-only access.
Mercury Labs engineers work with your team to connect the relevant records, agree business definitions and test the calculations against your data. You review the result before switching it on.
Start with the question your team keeps chasing.
Show us a recurring report, an awkward handover or a decision that takes too long to prepare. We agree a first workflow with you, then connect its systems and check the results with your team in two focused weeks.






