Cyber & tech origination engine
Cyber & tech deal flow — without the noise.
Allen is the AI-native origination engine that reads your investment thesis and searches 39 million multi-source private-company records — including official registries such as Companies House — to surface, score and evidence targets across cybersecurity, software and deep tech. Replace manual trawls with thesis-aware search and evidence-linked diligence.
AI-native signals — tech-stack and posture indicators investors actually use
Explainable fit — Thesis Alignment Map with positive and negative signals in context
Evidence you can trust — every claim source-linked and exportable
Off-market breadth — widen the funnel while staying thesis-tight
Evidence you can trust — every claim source-linked and exportable.
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private-company records analysed globally
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saved per investor, per week
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companies diligenced each month
Why niche matters
Generic databases over-index on recycled lists. In cyber and tech, that means overpaying, missed fit and stalled deals. Allen prioritises off-market opportunities aligned to your mandate — breadth to compare, depth to qualify, clarity to move fast.
Avoid overpaying by widening the off-market funnel
Compare niche sub-sectors (from MDR and MSSP to AppSec, IAM, DSPM and OT security) against your exact thesis
Run like-for-like comparisons with consistent, cited data
Keep momentum — no “back to square one” when a lead stalls
Allen prioritises off-market opportunities aligned to your mandate — breadth to compare, depth to qualify, clarity to move fast.
Built by operators, for investors
Founded by a Top 30 UK CISO and engineered by leaders in agentic AI, Allen blends security-grade sourcing with explainable reasoning. You get the transparency diligence teams demand — not a black box.
Why Allen wins for Cyber and Tech
Seven differentiators built for cyber and tech origination — from tech-stack fingerprinting to evidence-linked dossiers your investment committee can interrogate.
Tech-stack fingerprinting
See how each company actually builds and ships: cloud, data, infra, CI/CD, security tooling, common libraries and integrations (where publicly inferable). Useful for buy-and-build adjacency, carve-outs and platform roll-ups.
Cyber posture indicators
Surface signals investors care about: certifications (e.g., ISO/IEC 27001), security pages and trust centres, public incident references, hiring trails in SecOps/DevSecOps, product claims vs. artefacts — all source-linked.
Thesis Alignment Map
Allen lays out why a company fits: positive/negative signals, keywords in context, and reasoning steps — so analysts can challenge, adjust and defend the shortlist.
Evidence-linked dossiers (exportable)
Every claim is accompanied by citations and data exports.
Freshness you can trust
Time-stamped sources and last-seen indicators for key fields. Adjustable staleness flags (typical threshold 3–12 months) so you can focus on live opportunities.
Decision-maker intelligence
Identify relevant leaders — founders, CISOs, CTOs, product heads — and enrich outreach lists. Hand off to your team, or engage our optional contact and campaign support.
Who uses Allen
Private Equity & Growth
Platform build, bolt-ons, LBOs, minority stakes
Corporate Development
Strategic M&A, acqui-hires, market entry
Specialist & Deep-Tech Funds
Frontier, defence-tech, applied AI, cyber
How Allen works
Provide your thesis
Upload your thesis or start from a sector/company seed with exclusions.
Approve the scope
Confirm guardrails, geographies, sub-sectors and output formats — then Start.
Allen searches & reasons
Agentic workflows scan 39M+ records (plus official filings such as Companies House), de-duplicate, rank fit, map competitors and compile decision-makers.
Receive evidence-linked reports
Your shortlist lands in your inbox and CRM with sources, notes and recommended next steps.
Provide your thesis
Upload your thesis or start from a sector/company seed with exclusions.
Approve the scope
Confirm guardrails, geographies, sub-sectors and output formats — then Start.
Allen searches & reasons
Agentic workflows scan 39M+ records (plus official filings such as Companies House), de-duplicate, rank fit, map competitors and compile decision-makers.
Receive evidence-linked reports
Your shortlist lands in your inbox and CRM with sources, notes and recommended next steps.
What you get
Outputs designed for precision origination and thesis alignment.
Thesis-aligned longlist & shortlist with scores and explainability
Company dossiers
: tech stack snapshot, product/positioning cues, go-to-market signals, cyber posture indicators, basic financials (where available), and source links
Comparison tables for like-for-like evaluation across sub-sectors
Export data sources for deeper analysis
Outcomes our clients report
98% reduction in time spent on sourcing and diligence tasks
Thousands of companies reviewed per mandate — without sacrificing rigour
Higher CRM quality with evidence-linked notes analysts can trust
“The results are promising. Information is well sourced; filtering is high quality with logical reasoning; the tech-stack view is a real differentiator; and the thesis map is genuinely helpful.”
— Deep-tech investor, London
Not a generalist database
Old way
Allen way
Retainers for generic lists recycled across buyers
AI-light processes that miss nuanced theses and move slowly
Manual cross-checking across Endole, PitchBook, SourceScrub and others
AI-native, off-market focus aligned to your mandate
Evidence-linked outputs you can audit
Analyst control at every step, without the drudgery
Allen is the AI-native origination engine that finds, scores and evidences off-market cybersecurity, software and deep-tech companies — in minutes, not months.
Led by experts
Dr Runli Guo
CEO & Founder
Former CISO (Gett, Valarian) and Global Head of Digital Cybersecurity Initiatives at Marsh McLennan. Top 30 UK CISO (2022). PhD in AI (NLP), University of Surrey. 16 years’ cybersecurity leadership across payments, gaming, insurance and high tech.
Read moreJohn Adeojo
CTO & Co-Founder
Leader in agentic AI engineering with significant open-source contributions. Experience delivering AI for financial services (NatWest Group, RBS International, HSBC, Shawbrook Bank). MSc in Operations Research & Applied Statistics (Cardiff); BEng (Manchester).
Read moreRay Stanton
Non-Executive Chair
Former leader of the Global System Integrator Division at BT Global Services. Helped set up global cyber resilience programmes with the World Economic Forum; advisory board, Information Security Forum. Founder, White Hat Foundation; Lifetime Achievement Award (2025).
Read moreDr Ali Baghdadi
Board Advisor & CEO Coach
Founder of Aptec, scaled to $2B revenues; later CEO META and SVP at Ingram Micro. Inventor with patents pending in AI and cyber. MSc/PhD, Imperial College London.
Read moreAndy Sadler
GTM Advisor
30+ years scaling software and SaaS; Independent Board Advisor to IQ Capital. Pragmatic GTM and operational expertise with multiple successful exits.
Read moreReady to upgrade deal origination?
Join private-equity teams using thesis-aware search and evidence-linked diligence to build genuine proprietary deal flow.
Frequently Asked Questions
Where does your data come from?
From 39M+ multi-source company records blended with official registries (e.g., Companies House), public artefacts, and curated signals. Every output is source-linked so analysts can verify and drill down.
How do you handle data freshness?
Our 39M+ multi-source company dataset refreshes on a monthly cycle so new signals and metadata flow into Allen without manual effort. Companies House feeds update in line with official filings, so statutory changes land as soon as companies submit them.
What does “tech-stack fingerprinting” actually mean?
We infer a company’s stack from observable clues (cloud/services, repos and documentation where public, hiring trails, integrations and partner ecosystems). It’s designed to inform adjacency and integration thinking for buy-and-build.
Are you a database or an agent?
Both — but the value is in the agentic reasoning. Allen interprets your thesis, explains why each company fits (or doesn’t), and produces exportable, audit-ready evidence.
Which geographies and stages do you cover?
Global private companies with a focus on cybersecurity, software and deep tech across venture to mid-market. You can filter by stage, geography and revenue bands where available.
How do you address GDPR and enterprise security?
We operate with GDPR-aligned processing, keep audit trails on sources and transformations, and follow enterprise security practices shaped by leaders who have run security at FTSE/Fortune firms.