Board-ready strategy, growth plans, and investor decks — powered by DAISY, our Deployed Agentic Intelligence System. Direct-to-SMB advisory at 1/100th the cost of traditional consulting, with optional expert review from our Advisor Network.
The $900B consulting market is being compressed from above (AI labs going direct to enterprise) and below (AI commoditising deliverables). Nobody is serving the 400M+ SMBs who need strategy but can't afford £50K per engagement.
The core problem is not a lack of intelligence — it's infrastructure. Consultants spend more time on the work around the work than on client insight itself.
mmentum replaces a fragmented stack of 12+ tools with a single delivery OS. Upload messy client documents. Get board-ready PowerPoint. Every claim traceable to source.
Drag-drop any client document — PDFs, Excel, transcripts, voice memos. Auto-parsed, structured, and embedded into a searchable knowledge layer.
Porter's Five Forces, SWOT, PESTLE, M&A due diligence — every output traceable to the exact source document, page, and paragraph.
Dependency-aware 30/60/90-day plans with ghost timelines that recalculate when deadlines shift. Real project management, not Gantt theatre.
Most AI tools are fast, shallow, reactive chat. DAISY is mmentum's five-layer intelligence engine — it reads every uploaded document, builds a structured knowledge graph, detects contradictions, and surfaces cross-document insights autonomously. Vault Compiler, Knowledge Graph, Lens System, Deliverable Compiler, and Narrative Intelligence working together.
The founding team has spent 15+ years inside consulting firms — experiencing the exact pain this platform solves. mmentum is not a theory; it’s a response to lived frustration.
We’re selectively onboarding firms through the Pioneer Programme. If you’d like to explore investment or partnership, start a conversation below.
The following materials are confidential and intended for prospective investors only. Do not distribute.
You're not backing two enthusiasts with an idea. You're backing two operators who spent a combined 40+ years inside one of the most complex organisations on earth — and left because they found something bigger to build.
Some founders discover their mission at a pitch event. Ricky discovered his in 1995, when his primary school teacher sat him in front of the school's first desktop PC — and again at the bedside, as a third-generation healthcare family member who grew up understanding that service isn't a career choice; it's a calling.
He studied Diagnostic Imaging Science at Glasgow Caledonian University, then spent 21 years inside the NHS — not in the margins, but at the centre. Advanced clinical practice. Senior operational leadership. Strategic planning across services that touched thousands of patients and hundreds of staff.
He managed workforces in their thousands, controlled budgets exceeding £90 million, and led service transformations that had to work first time — because in healthcare, failure isn't a pivot; it's a patient.
It was in those senior leadership roles that his two lifelong instincts — technology and service — finally fused. He saw how AI could release clinicians from administrative burden. But he also saw something the NHS couldn't solve from within: the vast majority of businesses have no access to the strategic thinking that large organisations take for granted.
Three pillars. One leader.
Operational authority — £90M+ budgets, multi-thousand headcounts, board-level governance. Ricky doesn't theorise about scaling; he's done it inside one of the world's largest and most complex organisations.
Technology conviction — not a late convert to AI. A practitioner since 1995 who taught himself to build what he couldn't find, from RPA workflows to full-stack AI platforms.
A fight for the underdog — the same instinct that drove him to serve patients now drives him to democratise strategic advisory. The name says it all: mmentum — the force that builds when you finally give people the tools to move.
"He didn't leave the NHS because he lost the passion. He left because he found a way to serve more people — and he brought the operational rigour, governance discipline, and leadership credibility to prove this isn't just ambition. It's execution."
Gav's career began in clinical operations — the part of healthcare where strategy meets the ward floor, where a process improvement isn't an abstract KPI but the difference between a patient waiting three hours or thirty minutes.
That environment forged something you can't teach in an MBA: the ability to read a room before anyone speaks, to lead with empathy without losing accountability, and to make decisions that hold up under scrutiny — because in clinical settings, they have to.
Three qualities. One operator.
Person-centred leadership — honed through years of working with people at their most vulnerable. Gav doesn't manage stakeholders; he earns them.
Systems thinker — expertise in redesigning pathways, driving efficiency, and improving outcomes across complex, multi-layered organisations.
Horizon scanner — a natural instinct for spotting opportunity where others see constraint. He finds the gap, then builds the bridge.
When Gav talks about building mmentum, the word isn't accidental. Momentum is what he creates — in teams, in partnerships, in rooms full of sceptics. It becomes infectious. People don't just agree with the vision; they want to be part of it.
His transition from healthcare to technology wasn't a pivot — it was a progression. The same governance, accountability, and leadership that kept clinical operations running now keeps mmentum commercially disciplined, operationally tight, and relentlessly focused on the people it serves.
"How you lead defines the thing you build. Person-centred isn't a value statement. It's a product strategy."
Frontier AI models and vector embeddings have made multi-document reasoning commercially viable for the first time. mmentum’s architecture is model-agnostic — we route to the best available model for each task and can swap providers without changing a line of application code. What required a £10M infrastructure budget in 2023 now costs £50K/year in API costs.
Post-COVID, boutique firms are actively seeking digital infrastructure. The $900B consulting market is migrating from ad-hoc tools to integrated platforms.
Enterprise AI tools train on user data and produce unverifiable outputs. mmentum’s zero-retention, source-traceable architecture directly addresses the #1 adoption blocker.
The firm knowledge base creates compounding lock-in. The first product to capture boutique consulting workflows at scale becomes the default operating system for the industry.
| MMENTUM | RIPLO AI | DIY STACK | |
|---|---|---|---|
| Target | Boutique (1–50) | Enterprise (Top 50) | Everyone (nobody well) |
| AI Architecture | System 2 — Knowledge Graph | System 1 — Chat RAG | No AI |
| Knowledge | Autonomous cross-doc synthesis | Single-doc summary | Manual |
| Output | Native .pptx (editable) | Proprietary canvas | Copy-paste |
| Pricing | From £99/month | $100K+ contracts | $500+/mo |
mmentum’s intelligence compounds across three tiers: workspace data (per-project), firm knowledge (institutional memory that grows with every engagement), and platform knowledge (45+ frameworks, 11 narrative tactics). Each tier enriches the next. After 50 projects, leaving mmentum means abandoning years of compounded intelligence.
Five-layer intelligence engine: Vault Compiler, Knowledge Graph, Lens System, Deliverable Compiler, and Narrative Intelligence. Not replicable via prompt engineering.
Cross-document reasoning architecture no competitor has implemented for the consulting vertical.
45+ consulting frameworks pre-embedded as structured, versionable templates — a growing competitive moat.
More usage → richer frameworks → better output → higher retention → more usage. Classical SaaS flywheel.
Nothing reaches a client without explicit human approval. Staged publishing, full audit trail. Architecturally enforced — not optional. This builds trust with firms that cannot afford AI hallucinations reaching their clients.
mmentum operates a two-sided platform: SMBs on the demand side receive AI-powered advisory (Autopilot £99/mo, Guided £499/mo, Advisory £1,500/mo). Boutique consultancies on the supply side join via the Pioneer Programme (£999/3mo) and opt into the Advisor Network for revenue share.
| CHANNEL | APPROACH |
|---|---|
| Content & SEO | Thought leadership on "AI for consultants" — a category we define |
| Community | Boutique consulting communities, fractional exec networks |
| Partnerships | Consulting associations, accelerators, and strategic alliances |
| Outbound | Targeted outreach to firms showing intent signals |
| TIER | PRICE | KEY FEATURES |
|---|---|---|
| Autopilot | £99/month | Full DAISY engine, AI-only, 3 exports/mo |
| Guided | £499/month | Full DAISY + every deliverable reviewed by expert advisor |
| Advisory | £1,500/month | Dedicated named advisor, monthly strategy sessions, unlimited exports |
| Pioneer (Consultancy) | £999/3 months | Platform access for own clients, pathway to Advisor Network |
The Pioneer Programme onboards consultancies and proves the platform. The real revenue engine is what happens after: high-margin recurring SaaS seats that scale with every firm.
Full platform access for the consultancy's own clients. Proves DAISY with real engagements over 3 months.
Post-Pioneer, firms buy seats for their team. Own workspace, framework library, deliverable pipeline. 3–5 seats/firm average.
Junior staff, PMs, and analysts with read/review access. Low price, high attachment — 1–2 per firm.
Opt in to review AI deliverables for mmentum's SMB clients. 20–40 reviews/month. Pure revenue share.
Full DAISY engine under their brand. Custom branding, dedicated support. 8 target deals by Year 3.
Supply creates demand. Each new consultancy on the platform increases capacity to serve SMB clients, which increases revenue per advisor, which attracts more consultancies.
When a consultancy completes the Pioneer Programme, they don't leave — they graduate into recurring revenue.
Each phase increases the switching cost. By Phase 3, the firm is earning through the platform — leaving means losing income, not just a tool.
Every tier includes a monthly AI compute allocation. Overage charged at cost + 30% markup. Advisor costs are variable revenue share, not fixed headcount.
| TIER | PRICE | MMENTUM KEEPS | ADVISOR GETS | AI COST | GROSS MARGIN |
|---|---|---|---|---|---|
| Autopilot | £99/mo | £99 | — | £8 | 92% |
| Guided | £499/mo | £299 | £200 | £15 | 95% |
| Advisory | £1,500/mo | £900 | £600 | £25 | 97% |
| REVENUE LINE | YEAR 1 | YEAR 2 | YEAR 3 |
|---|---|---|---|
| SMB Autopilot (£99/mo) | £138K | £538K | £1.4M |
| SMB Guided — mmentum share (£299/mo) | £142K | £549K | £1.4M |
| SMB Advisory — mmentum share (£900/mo) | £76K | £257K | £498K |
| Consultancy SaaS (Pioneer → seats) | £138K | £283K | £416K |
| Whitelabel + operator seats | £24K | £98K | £167K |
| AI overage + setup fees | £4K | £37K | £106K |
| Total Revenue (mmentum share) | £498K | £1.7M | £3.8M |
| YEAR 1 | YEAR 2 | YEAR 3 | |
|---|---|---|---|
| Revenue (mmentum share) | £498K | £1.7M | £3.8M |
| AI compute & APIs | (£38K) | (£68K) | (£99K) |
| Platform infrastructure | (£25K) | (£45K) | (£55K) |
| Gross Profit | £428K | £1.6M | £3.7M |
| Gross Margin | 86% | 94% | 96% |
| People | (£460K) | (£700K) | (£1.2M) |
| Sales & Marketing | (£50K) | (£150K) | (£300K) |
| General & Admin | (£30K) | (£40K) | (£60K) |
| EBITDA | (£112K) | £667K | £2.1M |
| EBITDA Margin | — | 40% | 55% |
| Corporation Tax (est. 25%) | — | (£167K) | (£528K) |
| Net Profit | (£112K) | £500K | £1.6M |
| Net Profit Margin | — | 30% | 41% |
Note: Y1 EBITDA of (£112K) reflects cumulative losses from months 1–9 (pre-break-even), partially offset by small profits from months 10–12 after monthly break-even is reached. Net profit excludes potential R&D tax credits.
Every number in this deck is built from the model below. Adjust customer acquisition rates, churn, and pricing to stress-test our projections in real time.
From first revenue to full-year profitability in 36 months — funded by a single £650K raise.
| YEAR 1 | YEAR 2 | YEAR 3 | |
|---|---|---|---|
| Opening cash | £650K | £538K | £1.20M |
| Revenue received | £498K | £1.7M | £3.8M |
| Total expenditure | (£610K) | (£996K) | (£1.71M) |
| Closing cash | £538K | £1.20M | £3.32M |
The base case represents our best estimate. Below, we stress the model to show how the business performs when things go wrong — and what we do about it.
| METRIC | BEAR (50%) | BASE | BULL (140%) |
|---|---|---|---|
| Y1 clients (EOY) | 166 | 331 | 463 |
| Y2 clients (EOY) | 476 | 952 | 1,333 |
| Y3 clients (EOY) | 1,144 | 2,288 | 3,203 |
| Monthly churn | 5% | 3% | 1.5% |
| Y3 revenue | £1.9M | £3.8M | £5.4M |
| Y3 EBITDA | £512K | £2.1M | £3.5M |
| Y3 Annual Recurring Revenue | £2.7M | £5.3M | £7.4M |
| Monthly break-even | Month 14 | Month 9 | Month 6 |
| Investor 18% value (6× ARR) | £2.87M (4.4×) | £5.73M (8.8×) | £8.02M (12.3×) |
If Month 12 metrics show tracking below plan (<30 firms, >4% churn), we activate cost reduction measures before cash becomes critical.
| LEVER | MONTHLY SAVINGS | IMPLEMENTATION |
|---|---|---|
| Contract engineer exit | £7,500/mo | 30-day notice |
| Marketing spend freeze | £3,000/mo | Immediate |
| Founder salary reduction | £5,000/mo | Immediate |
| Total available savings | £15,500/mo |
| M12 SIGNAL | FIRMS | ACTION |
|---|---|---|
| Ahead of plan | 60+ | Accelerate growth hires to M14 |
| On plan | 40–59 | Continue as modelled |
| Behind plan | 30–39 | Freeze discretionary spend |
| Significantly behind | <30 | Activate contingency |
| POTENTIAL ACQUIRER | STRATEGIC RATIONALE |
|---|---|
| Salesforce / HubSpot | Professional services vertical expansion |
| Monday.com / Asana | Workflow deepening — domain-specific intelligence |
| Thomson Reuters / RELX | Professional intelligence adjacency |
| Microsoft (via M365) | PowerPoint integration moat |
Series A at 8–12× Annual Recurring Revenue (£19M–£64M valuation based on £2.4M–£5.3M run rate).
| COMPANY | CATEGORY | VALUATION | MULTIPLE |
|---|---|---|---|
| Veeva Systems | Life sciences | $23B (IPO) | 25× ARR |
| Procore | Construction | $12B (IPO) | 18× ARR |
| Toast | Restaurant | $8B (IPO) | 12× ARR |
| ServiceTitan | Home services | $9.5B (IPO) | 15× ARR |
The product is international by design: consulting frameworks are universal, deliverable formats (PowerPoint) are global, and the platform is cloud-native.
UK & Ireland
Months 1–18
Founder-led. Build PMF, prove unit economics, establish category.
US (East Coast)
Months 18–24
PLG-driven. USD pricing. No local team required — self-serve.
DACH, Nordics, Benelux
Months 24–30
EUR pricing. GDPR-compliant from Day 1. English-speaking firms first.
Full US, APAC
Month 30+
Localised sales, regional partnerships.
This is a growth raise, not an R&D bet. The core platform is built, deployed, and live at mmentum.me. The Pioneer Programme is onboarding 20 founding firms. £650K funds the company to monthly break-even — no second raise required.
| SHAREHOLDER | EQUITY |
|---|---|
| Founders (×2) | 72% |
| Pre-Seed Investors | 18% |
| EMI Option Pool | 10% |
| Total | 100% |
| Raise amount | £650,000 |
| Pre-money valuation | £2.96M |
| Post-money valuation | £3.61M |
| Equity offered | 18% |
| Instrument | Equity or SAFE |

