Generic AI outreach is dead. "Hi [Name], I noticed your business..." goes straight to trash — everyone's inbox is flooded with the same ChatGPT-generated templates. This engine connects to your CRM, reads your call transcripts, and writes emails that prove you actually know the prospect. "Hi Dave — you mentioned supply chain bottlenecks at Q2. Our routing engine cut 11% off similar delivery times and I think it solves exactly what you described." That kind of email gets replies. This engine writes them at scale.
Everyone discovered ChatGPT can write cold emails. Now every inbox is flooded with the same "I noticed your impressive growth" templates. Decision makers have developed AI-blindness — they scan for the generic patterns and delete in under 2 seconds. The irony: AI was supposed to make outreach better. Instead, it trained recipients to ignore anything that sounds like AI. Reply rates have actually DROPPED since ChatGPT launched.
When everyone uses the same AI templates, nobody reads them. Your carefully crafted "personalized" email lands in the same mental spam folder as the 47 other identical ones they got this week. You're not competing with other businesses — you're competing with delete-button muscle memory.
ChatGPT doesn't know your prospect. It fabricates "personal" details — references to awards they never won, growth they never had, challenges they never faced. One hallucinated detail and you've burned the lead permanently. Trust destroyed in seconds.
You've logged 200+ hours of call notes, deal histories, and email threads into your CRM. That data contains EXACTLY what you need to write a killer personalized email — their actual pain points, their actual goals, their kid's soccer team, the competitor they're worried about. But it sits there, unused, while you type "I noticed your business" for the 400th time.
You can write ONE great personalized email — research their LinkedIn, read their last earnings call, find a genuine connection. It takes 30 minutes. You have 200 prospects. That's 100 hours of research for one campaign. It doesn't work at scale, so you default back to templates.
The first email is bad. The follow-ups are worse. "Just checking in" and "bumping this to the top of your inbox" are the most-deleted phrases in business history. Without real context from the previous interaction, every follow-up sounds desperate.
At £3K-£15K average B2B deal size, every 1% improvement in reply rate is worth £6K-£30K in pipeline per campaign. A business sending 500 emails/month with a 1% reply rate is leaving £12K-£60K/month on the table — money their CRM already contains the keys to unlocking.
Connect your CRM, upload your call transcripts, sync your email history. The engine reads everything — deal stages, pain points discussed, personal details mentioned, objections raised — and writes emails that reference PROVABLE facts from your own data. No hallucinations. No "[Name]" templates. Each email is fact-checked against your CRM before it even reaches the send queue.
Connects to HubSpot, Pipedrive, Salesforce, or any CSV export. Reads deal history, contact notes, activity logs, and custom fields. The engine knows what stage every prospect is at, what they last discussed, and what's stalled their deal — and writes accordingly.
Core EngineUpload call recordings or transcripts from Gong, Chorus, or manual notes. The engine extracts: stated pain points, budget mentions, timeline hints, personal details (kids, hobbies, recent vacations), competitor mentions, and decision-maker dynamics. These become the "how did you know that?" details in every email.
Key DifferentiatorReads your past email conversations with each prospect. Knows what was already discussed, what questions went unanswered, what objections were raised. Never sends a follow-up that contradicts a previous email or repeats information they already have.
Memory LayerBefore any email is sent, the engine cross-references every claim against your CRM data. If it says "you mentioned scaling challenges in Q2," that statement must exist in your call notes. Hallucinated personalization is caught and flagged before it ever reaches a prospect.
Trust GuaranteeDifferent industries need different language. A commercial cleaning company prospect gets different references than an IT services prospect. The engine learns your segments and writes in the voice each audience expects. No more one-template-fits-all.
Smart RoutingEvery email's performance feeds back into the engine. Which references got replies? Which subject lines died? Which personal details resonated? Over time, the engine learns what works for YOUR prospects, not generic best practices from a blog post.
Self-ImprovingNo prompt engineering. No template library. Connect your data sources once, and the engine handles the rest — reading, writing, verifying, and learning from every send.
Plug in your CRM (HubSpot, Pipedrive, Salesforce) or upload a CSV. Grant email and call transcript access. One-time setup. The engine builds a knowledge graph of every prospect.
5 Minute SetupEngine reads all deal notes, transcripts, and email threads. Identifies personal details, business pain points, decision-maker roles, objections, and timeline signals. Builds a rich profile per prospect.
AI-Powered Deep ReadFor each prospect, the engine writes a unique email referencing real, verified details from your data. Subject line, body, and CTA are all context-specific. You review and approve — or let it auto-send for known-safe segments.
One Click Per ProspectEvery open, reply, and meeting booked feeds back into the engine. It learns which references resonate, which fall flat, and continuously improves your reply rates without you touching anything.
Self-OptimizingWhen a prospect replies (or doesn't), the engine writes context-aware follow-ups. It knows what was discussed, what wasn't, and never sends a "just checking in." Every follow-up advances the conversation.
No Templates EverSee reply rates by segment, top-performing personalization signals, A/B test results, and pipeline impact. Know exactly how much revenue your improved outreach is generating — not just open rates.
Revenue AttributionSaaS subscription model: £79/mo for solopreneurs (up to 500 prospects), £199/mo for small teams (up to 2,500 prospects), £499/mo for agencies (unlimited prospects). The math is straightforward — if the engine improves reply rates from 1.5% to even just 6%, a business closing £5K deals at 25% win rate adds £5,625/month in pipeline. The subscription pays for itself 28x over.
| Metric | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Solopreneur Users (£79/mo) | 1,200 | 3,400 | 8,200 |
| Team Users (£199/mo) | 380 | 1,100 | 2,800 |
| Agency Users (£499/mo) | 65 | 210 | 580 |
| Subscription Revenue | £1,080,000 | £3,150,000 | £8,820,000 |
| Implementation & Onboarding | £95,000 | £240,000 | £520,000 |
| Total Revenue | £1,175,000 | £3,390,000 | £9,340,000 |
| Operating Costs | (£670,000) | (£1,480,000) | (£2,940,000) |
| Net Profit | £505,000 | £1,910,000 | £6,400,000 |
| Breakeven | Month 6 | ||
| 3-Year ROI | 217% | ||
| Funding Required | £120,000 | ||
Market: 32M SMBs globally, £44B spent on sales tools annually. Sales engagement platforms (Outreach, Salesloft) are a £7.2B market growing at 14.5% CAGR. The gap: these tools automate sending but don't personalize content. This engine is the personalization layer they're missing.
No. The engine only uses data YOU already have — your own CRM records, your own call transcripts, your own email threads with prospects who have a legitimate business relationship with you. It does not scrape the web, pull social media data, or access anything you don't already own. All processing stays within your infrastructure. For GDPR, you remain the data controller — the engine is your processor.
Phase 1: HubSpot, Pipedrive, and CSV upload (covers 80%+ of the target market). Phase 2: Salesforce, Zoho, Close.com. Phase 3: Custom API for enterprise. CSV upload works as a universal fallback — export your contacts, deals, and notes as CSV, drop them in, and the engine works the same way.
The fact-verification layer is the core differentiator. Every claim in every email is tagged with its source: call transcript line 247, HubSpot note from March 14, email thread ID #8291. If the engine can't find a source for a claim, it doesn't include it. This is not a generative model making things up — it's an extraction and composition engine that only references data you provided.
The engine scores every prospect's data completeness: High (sufficient for rich personalization), Medium (enough for a good email), Low (template fallback with note: "Add call notes to unlock personalization"). It won't hallucinate details to fill gaps — it tells you what's missing so you can capture it on the next call. Over time, this naturally improves your team's CRM hygiene.
An entry-level SDR costs £30K-£45K/year and sends maybe 40 personalized emails/day. This engine, at £79-£499/mo, personalizes unlimited emails at the same quality level (higher, actually — it remembers every detail across every interaction, which no SDR can). The ROI is obvious: 5-10x more personalized outreach at 1/30th the cost.
Full financial model with CAC by channel, competitor analysis (Outreach, Salesloft, Lavender, Regie.ai, ChatGPT copypaste), CRM integration architecture spec, fact-verification layer design, natural language personalization algorithm, 90-day launch timeline with milestone dates, and investor pitch deck.
Complete financial model, CRM integration architecture, fact-verification layer design, competitor analysis, and 90-day launch plan — £49.
Nobody claimed this opportunity. Sovael Studio launches internally in 30 days if no buyer emerges.