Building the enterprise infrastructure for emotional risk intelligence
Updated October 2026
Enterprises measure financial, operational, legal, and cyber risk before major decisions. Human reaction risk remains largely invisible. Cavefish is building the infrastructure layer that measures those risks before consequences occur.
EchoDepth quantifies emotional risk before execution - forecasting trust, credibility and resistance from video, voice or text you already have. The structural position we are building toward is a rating agency for human response, not an AI tool. The value is in the methodology, the benchmark data, the governance infrastructure and the partner distribution.
Cavefish has not taken institutional investment. 2026 is the interest phase - building the right cap table before a formal raise in early 2027. Investor conversations take place directly with interested parties ahead of the formal raise.
The thesis
The problem
Boards rigorously model financial, operational, legal, and cyber risk before every major decision. Human reaction risk - the probability that trust will collapse, that resistance will emerge, that credibility will erode - remains largely invisible until it becomes consequence.
Transformation programmes and M&A deals frequently fail to deliver their intended outcomes, and CEO communication failures can damage shareholder value. These outcomes were not necessarily inevitable. The signals may have been present - they were not measured.
The category opportunity
Cavefish is creating a new enterprise category: Emotional Risk Intelligence. We help organisations quantify human reaction risk before executing high-stakes decisions. As AI accelerates organisational change, leaders increasingly lack visibility into trust, resistance, credibility, and emotional volatility. EchoDepth becomes the infrastructure layer that measures those risks before consequences occur.
The analogy is a rating agency: Moody's value was never the formula - it was the methodology, the data, the institutional trust. EchoDepth is building toward the same structural position in human response forecasting.
The ambition is Wales' first unicorn - built not on hype but on a methodology that compounds with every deployment, in every market, globally.
Why now
Three converging forces that frame the current stage of the business.
The regulatory clock is running
FCA Consumer Duty is live and enforcement is beginning. Regulated firms in scope are required to demonstrate active vulnerability identification - not sampling, not intention. Auditable, timestamped evidence is not optional. The firms that move first build compliance infrastructure that becomes a competitive barrier. The window to be the standard tool for that evidence layer is now.
AI is flooding the comms space - closing the data window
Every month that passes, more generic AI tools claim to do what EchoDepth does. None of them have the calibrated methodology or the benchmark dataset - but that gap closes with time. The comparison data Cavefish accumulates in 2025 and 2026 - what a strong earnings call looks like, what a failing change communication signals - cannot be replicated by a new entrant in 2028.
The rating agency position requires time-in-market
Moody's did not become a rating agency because they were technically superior. They became one because they had the data, the methodology and the institutional presence - accumulated over years. EchoDepth is three years into that accumulation. Every quarter of operation deepens the moat. Whether the methodology becomes the recognised standard in communication assurance depends on execution over time.
Where the defensibility comes from
Four assets that accumulate with deployment history and cannot be replicated by a general-purpose LLM on day one.
Validated methodology
The EchoDepth scoring framework is calibrated across 6 countries and 14 cultural cohorts with documented accuracy. It is not a prompt - it is a named, citable methodology. When it appears in a board-ready PDF, it carries methodological authority the way a named rating carries authority on a bond prospectus. This cannot be replicated by a general-purpose LLM without the same calibration investment.
Benchmark comparison data
Every scored communication adds to a growing proprietary comparison dataset. What is a normal Trust Score for a CFO earnings call in financial services? What does a high-performing change communication look like in a large organisation? This benchmark context is what makes a score meaningful - and it only exists if you have scored volume. It cannot be replicated on day one.
Governance and audit layer
EchoDepth outputs are consent-documented, timestamped, reproducible and structured for regulatory audit. ICO registered ZB915633. Data Processing Agreement provided as standard. In FCA Consumer Duty, investor relations and legal contexts, the output needs to hold up in an audit - not just be useful in a meeting. General-purpose AI produces conversational output. EchoDepth produces evidence.
Partner distribution
As consultancies embed EchoDepth in their own client deliverables - change management reports, investor communications advisory, research outputs - the methodology becomes part of how those firms do business. Switching cost grows independently of what underlying AI can detect. Each partner engagement is a distribution node that compounds over time.
Market contexts
Three addressable contexts with different entry points, all served by the same EchoDepth methodology.
Every organisation where a communication going wrong carries cost - earnings calls, transformation programmes, campaign launches, regulatory interactions.
Low friction: text and voice inputs, no specialist hardware. Clear commercial outcome. Direct ROI calculable from one avoided earnings call restatement or one successful change programme.
FCA Consumer Duty applies to a large population of regulated firms in the UK, which are expected to demonstrate active vulnerability identification - not sampling.
Auditable, timestamped evidence is not optional in regulated contexts. EchoDepth is one of very few tools designed to produce it - not describe it.
Consultancies are buyers of methodologies, not just tools. They embed what gives them differentiated outputs.
Consultancies already have client relationships and budgets. EchoDepth adds an evidence layer they cannot easily replicate. Each partner is a distribution node into multiple client accounts.
Revenue model
Service-led pilots
Organisations submit content and receive scored PDF reports within 5 working days. Pilots from £1,500/month. Revenue from day one - no software integration required.
Partner channel
Consultancies and agencies embed EchoDepth as an evidence layer in client engagements. Partners access analysis credits, white-label outputs and facilitation materials. Each partner is a distribution node into multiple client accounts.
Platform and API
As benchmark data and partner volume accumulate, the methodology moves toward a SaaS layer - API access, dashboard reporting, automated scoring pipelines. Platform revenue compounds on top of the service base.
The journey so far
Built from zero - bootstrapped, no external investment.
Traction indicators
Partnerships
Leadership
Former Director of Digital at The Royal Mint. Director of Digital Performance at Assurant. Behavioural analytics teams across EU, UK and US. Guest lecturer at NYU Stern. MBA from Bayes Business School. B.Eng Computer Systems Engineering. Strategy Director at AI Wales. Presented EchoDepth at ITEC 2026 (ExCeL London) and ECSO Cyber Solution Days (Cardiff, 2026). IoD Director of the Year shortlisted 2024. Speaker and author.
Technology architect with expertise in building governed AI systems for sensitive enterprise contexts. Responsible for EchoDepth's privacy-by-design infrastructure and deployment models.
Strategic partnerships across regulated sectors, ensuring Cavefish solutions integrate with enterprise governance requirements and operational realities.
The round
No institutional investors to date.
Cavefish has been built on founder capital and grant funding. No dilution has occurred. The cap table is clean.
Dedicated partner success resource, onboarding materials and co-marketing to convert programme partnerships into active distribution nodes.
Structured scoring volume across target verticals - financial services, regulated industries, professional services - to deepen the comparison dataset that makes EchoDepth defensible.
Sales and delivery capacity to support partner-led growth without founder bottleneck.
Begin the transition from service-led to product-led: API access, dashboard reporting, automated scoring pipelines.
Risks we are aware of
We believe investors should see these stated clearly, not discovered later.
The moat is not detection capability - it is methodology, benchmark data, governance and distribution. These require deployment history and cannot be replicated on day one. We address this in detail at cavefish.ai/why-echodepth/.
EchoDepth leads with text and voice inputs - the low-friction entry points. Video analysis is available but not foregrounded. Every deployment has a documented lawful basis - explicit consent or legitimate interests, depending on the use case. ICO registered. DPA standard.
The partner channel shortens cycles significantly - consultancies bring EchoDepth into existing client relationships rather than requiring net-new enterprise sales. Pilots start at £1,500/month with no long commitment required.
Cavefish is bootstrapped and founder-funded. The service-led model is designed to generate early revenue that extends runway while the partner channel scales. The formal raise in early 2027 is designed to accelerate growth, not fund operations from zero - the infrastructure, methodology and partnerships are already in place.
The cap table is empty. That is not a gap - it is a position.
Is Cavefish raising investment?
Not yet formally. Cavefish has been built on founder capital and grant funding and has no institutional investors to date. 2026 is an interest phase for cap table conversations, ahead of a formal raise in early 2027 targeting £1.2m for 20% equity at a £6m pre-money valuation. The investor deck, financial model and methodology documentation are shared with investors who get in touch directly. No dilution has occurred. No early investors have set terms or taken board seats. Investors who join in 2026 and 2027 would be joining while the benchmark data, partner network and brand are still being built. We are selective about who we bring in - not because we can afford to be difficult, but because the investors who add value here understand methodology moats, partner-led distribution and the difference between a tool and a rating agency. If that describes how you think, we would like to talk.
Common questions
What does Cavefish do?
Cavefish is building the enterprise infrastructure layer for measuring human reaction risk before high-stakes decisions are executed. EchoDepth quantifies emotional risk - forecasting trust, credibility and resistance from video, voice or text before communications are delivered or decisions are announced. The go-to-market is partner-led: consultancies and agencies embed EchoDepth as an evidence layer within their own client engagements.
What is the defensible moat against large language models?
Four things that require deployment history to accumulate: (1) validated scoring methodology calibrated across 6 countries and 14 cultural cohorts - not a prompt, a named citable framework; (2) benchmark comparison data - what is a normal Trust Score for an earnings call in financial services? That context only exists if you have scored hundreds of them; (3) governance and audit layer - consent-documented, reproducible, ICO registered ZB915633, structured for FCA and legal audit; (4) partner distribution - as consultancies embed EchoDepth in their methodology, switching cost grows independently of detection capability. The structural analogy is a rating agency, not an AI tool.
What is the current revenue model?
Service-led product model. Pilots generate revenue from day one - organisations submit content and receive scored PDF reports within 5 working days. Pilot programmes start from £1,500 per month. Enterprise licensing, API access and partner programme revenue follow as volume scales. The roadmap moves toward product as benchmark data and partner distribution accumulate.
Request the deck
The investor deck, financial model and methodology documentation are shared with investors who reach out directly. The formal raise opens in early 2027. The conversation starts now.
Cavefish (Reg. 15127122) · Cardiff, Wales
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