omniom.ai
Private · by invitation
Not for onward distribution
Early-stage · omniom.ai
Private · by invitation · Not for onward distribution

You've used Claude this week, and somewhere in the back of your mind you've already done the sum. If the work software used to do is starting to be done another way, then the value of the companies selling that software is about to move. Quite a lot of a normal portfolio sits in exactly those companies.

The market has started to agree with you. The median public software company now trades at 5× its ARR, down 42% from where it sat before the last cycle, while the companies with a clear AI tailwind are up 199% since January 2024. The usual response is to buy those names at close to twenty times revenue, which isn't a hedge — it's the same bet with a worse entry. The other side of this trade is the layer underneath — the operational software that small and medium-sized businesses actually run on, rebuilt for a world where the work is done by agents rather than by seats.

Omniom is that new layer. The old one was cutting edge a decade ago and is now legacy — and harnessing AI should mean real savings for a business, not another stack of subscriptions. That is what we are building.
Every client gets their own instance and a system shaped to how they actually work, and because AI does most of the configuring, a system that fits now costs less than the generic stack it replaces. We're an AI utilisation business that charges at source — one published rate at provider cost plus a margin, not a per-seat premium. No proprietary model to defend, and no research budget to fund.
What's actually being asked
A small position in a market that is being repriced right now. Not a bet that we beat Salesforce — a bet that the way software reaches small and medium-sized businesses changes, and that someone needs to be on the other side of it when it does.
Confidential from first contact · Mutual NDA before anything detailed · No commitment of any kind to talk
8.7× → 5.0×
Median public software EV/implied ARR — the pre-ZIRP median against 23 October 2026. A fall of 42%.
58%
Share of public software companies now trading below 5× NTM revenue. Only thirteen trade above 10×.
3.8× → 3.1×
Median private SaaS M&A multiple — full-year 2025 against Q1 2026.
+199%
Software companies with clear AI tailwinds, since January 2024. The rest of the index over the same period: flat.
Meritech Software Pulse, market data as at 23 October 2026 (S&P Capital IQ) · Aventis Advisors, SaaS Valuation Multiples, Q1 2026 (Mergermarket; S&P Capital IQ). Third-party market data reproduced as published — not a valuation of omniom.ai, and not a forecast. ⚠️ Re-check both sources and update the dates before this page is sent on: multiples move every quarter.
The opportunity

Why omniom.ai, and why now

The SMB software market is fragmented, expensive, and built around per-user pricing that punishes growth. Omniom takes a structurally different approach.

One wide shot of the product in use — a real workspace with real data in it, named records and real numbers. An empty demo instance reads as vapour. Replace with your uploaded image.
85%
potential saving on annual software spend
A disruptor's price, a custom fit
SMB software spend can range from £8,000 to £30,000 a year — before the hidden cost of managing disconnected tools. Omniom replaces that stack for a fraction of it, in one joined-up platform.
AI
does most of the configuring
Custom fit, at off-the-shelf price
AI reaches every module rather than one corner of it. Multi-provider routing across Anthropic, Google and OpenAI means no model lock-in, and cost control that belongs to the client.
1:1
own instance, own database, every tier
Single-tenancy architecture
Single tenancy isn't a premium feature — it's the foundation of how Omniom works. That is what lets an AI model see the whole business safely, and what incumbents cannot retrofit.
0
direct sales force required at scale
Partner-led distribution
A certified network of IT consultancies, agencies and sector specialists deploy and support the platform for their own clients. Highly capital-efficient, and hard to displace.
∞
users per licence
Priced for the world that's coming
Revenue scales with tier, modules and data held, not headcount. When agents do work that used to need seats, a per-seat vendor loses revenue and we don't.
4×
target markets from launch
Multi-market from day one
English, Spanish, French and German. Architected for multiple languages from the start, not retrofitted after product-market fit in one country.
Six reasons · scroll or swipe →
Test it on your own numbers
See how the model works on a business you know
If you run one of your own, or have an interest in one, model the saving on that. It takes a few minutes and runs on your figures rather than ours.
The business model

How omniom.ai generates revenue

Five streams against one commercial model. The licence recurs, implementation is one-off, and AI scales with use. Growth comes from tier mix, module attach and partner count. Full pricing and an instant estimate →

Annual licence
Three published tiers, unlimited users on every one. Platform upkeep, support and updates are included; the hosting environment depends on the tier, and a dedicated one is quoted. Never discounted.
£900 · £2,100 · £3,200 per instance per year · Recurring
AI — metered, and model-agnostic
Not just LLMs. Embedding, transcription and specialist models are routed to whatever the job needs, replacing a drawer of separate AI subscriptions. We buy in aggregate and pass part of it back.
Module fee plus metered usage · Recurring, uncapped
Premium modules
E-commerce, analytics, web builder, customer portal. Which ones are included is what separates the tiers — and every one a client adds is another reason not to leave.
Annual, per module · Recurring
Implementation & customisation
Fixed-price delivery against published scope, plus custom builds, add-ons and dedicated environments quoted per client. One-off at the start, and again whenever the business changes shape.
Quoted per project · One-off, repeating
Managed data & File Hub
Structured records and unstructured files in one place — held, backed up, indexed and available to AI. Capacity grows with the client rather than being bought from a third tool.
Included allocation, then capacity · Recurring
What happens next

Four steps, no pressure at any of them

Private throughout. No public round, no broker, no investor list circulating.

1
Reply to this link
A line on your background and what you make of the argument above — including if you think it's wrong.
2
Mutual NDA
Before anything detailed, so we can talk openly about numbers, pipeline and terms.
3
Pack, then a conversation
Financials, the twelve-month plan, cap table and use of funds — yours to read first. Then an hour with a founder.
4
Or just watch — plenty do
Say so and we'll send a quarterly update. No obligation either way, and no follow-up call unless you ask.
Come straight to us
Email a founder
ivan@omniom.ai — read by the founding team only.
Book an hour
Pick a time. No pre-screening, no associate, no deck review first.
Three working days
Every enquiry gets a personal reply, including the ones we decline.
Small, deliberately
A limited number of positions on the same terms, so the cap table stays one line.

This page is for information only and is not a financial promotion, an offer to invest, or investment advice. omniom.ai is an early-stage company and investment at this stage carries significant risk, including total loss of capital. Market figures are third-party data as reported, included as context — not a valuation of omniom.ai and not a forecast. Omniom's own prices are provisional and have not yet been tested on a client.

Intended for sophisticated or high-net-worth investors who understand those risks. If you are unsure whether this is appropriate for you, take independent financial advice first. All discussions are private and under mutual NDA; no terms are offered or implied by this page.

Visit omniom.ai →
Hi — ask us anything and we will pick it up here.