The AI nervous system for life, study and work

Models come
and go.
SynthWise remains.

One place for the things you already do — running a business, working through a course, keeping an ordinary life in order — on a platform that treats AI as infrastructure rather than a chat window. Swap models when better ones arrive. Keep a receipt for every call one of them makes.

Your synthetic wisdom — the context you build up over time: documents, definitions, notes, drafts, the things you've learned — outlasts every model. And it stays yours: everything exports in standard formats, at any time.

What runs here

Assistants. Workflows.
Apps. Integrations. Prototypes.

Wired into the tools you already use — at work, in study, at home. Every step visible on the run, every model call receipted.

PROVENANCE LOG
synth_wise_ai_operations · live sample
time asset model tokens
01:53:22 arrears_report_q2.csv GPT-4.1 EXTERNAL 420
01:53:21 supplier_po_split Claude Sonnet 4 EXTERNAL 1,151
01:53:19 broker_questionnaire Llama 3.3 INTERNAL 1,882
01:53:18 member_ledger_export Gemini 2.5 EXTERNAL 2,613
01:53:16 loan_book_snapshot Mistral INTERNAL 3,344
01:53:15 dispatch_status_feed GPT-4.1 EXTERNAL 4,075
01:53:14 quote_7731.json Claude Sonnet 4 EXTERNAL 4,806
01:53:12 invoice_final_0419 Llama 3.3 INTERNAL 5,537
01:53:11 arrears_report_q2.csv Gemini 2.5 EXTERNAL 1,068
01:53:09 supplier_po_split Mistral INTERNAL 1,799
01:53:08 broker_questionnaire GPT-4.1 EXTERNAL 2,530
01:53:07 member_ledger_export Claude Sonnet 4 EXTERNAL 3,261
unknown providers classified EXTERNAL by default retention: policy-bound

Why a nervous system

AI as infrastructure,
not spectacle.

Most of the value in AI is trapped on individual laptops and in personal prompt collections. It never becomes process. SynthWise is the layer that connects the systems you already run - accounting, CRM, files, databases - to whichever models are best this quarter, and turns that into workflows a small business can specify, run and trust.

The comparison people reach for is n8n or Zapier. The difference is what happens after the automation runs. We can tell you which model processed what data, whether it left your jurisdiction, who authorised it, and how many tokens it cost, because those are records in the data model, not lines in a log.

What we do

We build with you.
You keep the system.

We partner with clients to design and ship applications, and to put AI into the work itself. SynthWise is the scaffolding those projects run on: assistants, agents and custom models, managed on your hardware, with a provenance record on every call.

01 - ADOPT

Private AI

LLM-agnostic chat and Studios, so your context lives in one place instead of being spread across a different app for every use case - prototyping, video generation, company data stores. Every major vendor and many niche ones, via OpenRouter or direct. Bring your own key, or bring your own model: assistants, agents and custom LLMs deployed on your own hardware, sandboxed, ring-fenced, actually private. We map the processes your business depends on and run them here, with permissions and receipts, not a chatbot on the side. No provider lock-in, from day one.

Read the full brief →

02 - BUILD

Software

Enterprise software that works with you and for you. Data lakes, warehouses, reporting, integrations and products, designed and shipped through our Studios, sitting under SynthWise or standing on their own. The tooling is why it moves at a speed that wasn't available before.

Read the full brief →

03 - RUN

Platform

A place to manage and deploy agents while software interfaces are still catching up. Data and its provenance will only get more valuable. SynthWise is engineered so natural-language features can replace traditional ones as the experience gets simpler, without throwing the system away.

Read the full brief →

The platform

One substrate.
Five layers.

Start with a chat window. End with assistants running the processes your business depends on, unattended. Every layer sits on the same context, the same permissions and the same provenance record.

Five layers in full →

LAYER 04 - AUTOMATION

Workflows

Triggers, nodes, conditions and human gates, wired into any system with a REST or webhook API - Xero, Slack, HubSpot, Trello and Google Calendar out of the box, and many more. Quote-to-invoice, month-end reporting, customer onboarding, supplier chasing, approvals, specified once, run forever.

Compliance in the substrate

Automate the work.
Keep the receipts.

Any UK or EU business that sends a customer record to a language model inherits GDPR and EU AI Act exposure. In most setups there is no record of what went where. On SynthWise, every data asset that touches a model produces a provenance record, whether you asked for it or not.

  1. 01 Which asset, which model, which provider, internal or external to your infrastructure
  2. 02 Token counts, timestamps, and the actor (user, assistant, workflow or agent) that authorised it
  3. 03 Unknown providers classified external by default, because that is the safe assumption
  4. 04 EU AI Act impact-assessment templates that walk you through your actual obligations
  5. 05 Retention policy and full export, leaving is a button, not a negotiation
How the receipts work →
AI_OPERATION_RECORD #66a1d837
asset quote_7731.json
workspace
workflow
model claude-sonnet-4
provider anthropic
classification EXTERNAL
jurisdiction_exit true
tokens_in / out 1,842 / 611
authorised_by
risk_class unregistered - EU AI Act Annex III: n/a
retention unretained
recorded_at 2026-09-22T12:40:05Z
exportable · queryable · yours

Two motions. One platform.

Built to hold up under audit.
Context remains with you.

The case files →
REGULATED OPERATIONS LIVE

Transave - UK credit union

Data from multiple vendor systems consolidated into a governed data lake and warehouse, producing live operational reporting - arrears, exposure, member activity - under the audit and data-protection obligations a credit union carries. Built at a speed and price that was not previously available to an organisation this size.

vendor exports → governed lake → warehouse → live reporting

Read the full brief →
CREDIT UNIONS & REGULATED SMES DEPLOYABLE

The governed data lake - built once, for the sector

The vendor-export → lake → warehouse → reporting pipeline built for Transave isn't bespoke to them. The connectors, the schemas, the arrears and exposure reporting and the audit trail are reusable. For the next credit union, this is configuration and onboarding, not a ground-up project.

your vendor exports → same governed lake → your reporting

Read the full brief →
SME OPERATIONS ONBOARDING

299 Lighting - order-to-cash

A quote accepted in Quoter flows through contact, project, item, quote and invoice creation in Xero, a human payment gate, purchase-order splitting by manufacturer, supplier dispatch monitoring, carrier booking, proof of delivery and invoice finalisation. Built once; near-cloned for the next business like it.

Quoter → Xero invoice → ⏸ human gate → PO split → dispatch → POD → final

Read the full brief →

The line we won't cross

We don't want
your data.

It is the last thing we want. Our income comes from services you pay for because they improve your business, so we never need to mine what you store with us, sell it, or make leaving difficult.

Everything auditable. Everything exportable. Every AI operation recorded. Because that is how a system built on these principles has to work.

Next step

Build it with us.
Then run it yourself.

Bring one operational process, the one everybody dreads, the one that lives in a spreadsheet and three inboxes. We will map it, automate it on SynthWise, and hand you the receipts. If it works, the next process is mostly configuration.

WORKING SESSION - 60 MIN - NO DECK

  1. 01 You describe the process as it actually runs today
  2. 02 We sketch it as a workflow, live, on the platform
  3. 03 You leave with a written scope, assumptions and an honest estimate
SYNTHWISE · NETHERLANDS / UK Contact
AI-NATIVE PRIVACY-FIRST SELF-HOSTABLE SW·001