Your data stays in your building
Client files, contracts, payroll, meeting recordings — none of it leaves your network. No third-party API, no logs you don’t control, no "we may use your data to improve the service" small print.
VantagePoint Networks · VP Lab
AI at its best — on your data.
Seven interactive AI tools for London SMBs. Paste text, upload files (.txt · .md · .pdf · .docx), and see modern AI work on documents that matter. Public demos run on Groq; the private deployment runs on your own hardware.
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Seven tools · one platform
Pick one. Try it. See what’s possible.
Document Q&A
Upload up to three files, ask questions, get answers cited back to the source.
Try it →Document Analyser
Summary, risks, action items and follow-up questions from any text.
Try it →Smart Anonymiser
GDPR-style PII redaction with a labelled entity list.
Try it →Meeting Notes → Actions
Raw notes in, structured owners/priorities/decisions/open questions out.
Try it →Contract Risk Scanner
Clause-by-clause flags for auto-renewals, liability, IP and more.
Try it →Invoice / Receipt Extractor
Vendor, line items, VAT, totals — with one-click CSV export.
Try it →Jargon → Plain English
Turn legal, financial or technical jargon into everyday language.
Try it →Why private AI, not ChatGPT
Public AI tools stop where your business starts.
Demos like the seven above show what’s possible. A private deployment is why companies actually pay for this — and it solves six problems a public API can’t.
Predictable cost at scale
Public AI APIs charge per token. 50 staff using a document assistant 10 times a day adds up to thousands per month. A private deployment is hardware + power — cost is flat no matter how heavily your team uses it.
Works when the internet doesn’t
API outages, ISP blips, a cable cut in a data centre three counties away — public AI goes down with it. Local inference keeps running whether or not the outside world is reachable.
Trained on your work, not the internet
Your policies, your terminology, your historical contracts, your product docs. A model that’s seen your actual operation gives dramatically sharper answers than a generic one that hasn’t.
Compliance and audit on your terms
GDPR, FCA, SRA, ISO 27001 — regulators want clear data flows. "It went to an American cloud AI provider" is a harder story than "it never left the building." Your logs, your retention, your subject-access response.
No lock-in, no rate limits, no surprise pricing
Vendor changes terms? Raises prices 3×? Rate-limits you at month-end? Swap the model, swap the provider, keep the same hardware and workflow. You own the platform, not the subscription.
The seven demos above run on Groq so anyone can try them. A private deploymentruns the same class of model on hardware you own, inside your network — book a free 20-min call to scope one →
Built for real sectors
Tools that map to actual SMB workflows.
Legal
Contract risk scans, plain-English clause translation, private Q&A over case files — all without handing client data to a third-party SaaS.
Accountancy
Invoice/receipt extraction with CSV export, meeting notes → action items, document anonymisation for GDPR-safe review.
Financial services
Private document Q&A for brokers and investment firms where data leaving the network is a compliance issue, not an inconvenience.
The honest bit
Public demo, private deployment — two different stories.
These public demos send your text to Groq(a third-party AI API) for processing — so please don’t upload real client data here. The private deployment runs the same class of model entirely on your own hardware: zero data leaves your network, no third-party API in the loop.