$200m+
Qualified partner opportunity pipeline
A partner commercialisation framework that identified priority sectors, activated partners and generated a qualified opportunity pipeline of more than $200m.
Technology commercialisation
Turn complex technology
into commercial impact.
We help organisations turn complex AI, data and industrial technology into products, propositions and practical solutions that grow revenue, reduce cost and improve performance.
Where we help
Three client problems we solve.
Complex technology that is difficult to commercialise.
Real capability, but the highest-value use case, user, business case or route to impact is unclear.
- Value story and priority use cases are unclear
- Business case, pricing or adoption path is unresolved
A product or proposition with a stalled commercial engine.
The product exists but growth has plateaued. ICP, positioning, sales motion or pricing may no longer be sharp enough.
- ICP is fuzzy, positioning does not land
- Pipeline conversion has dropped
A new venture, capability or value-creation opportunity to build.
A new venture, platform, capability or value-creation opportunity inside or alongside the core, moving from ambition to an investable, launchable proposition.
- Business case is unproven
- Not enough evidence to commit capital
Our offers
Four focused offers. One methodology.
- 01
AI & Technology Commercialisation
6–8 weeksA clear commercialisation strategy for a complex or AI-powered capability, including priority use cases, customer or user value, business case, operating model and route to commercial impact.
- 02
B2B Go-to-Market Reset
6–8 weeksSharper ICP, positioning, sales motion, pricing architecture and a 90-day pipeline plan.
- 03
Venture Build & Launch
8–12 weeksAn investable and scalable venture or new capability with validated demand, business model, GTM plan and launch roadmap.
- 04
Interim & Embedded Commercialisation Leadership
3–9 monthsSenior commercial ownership through launch, mobilisation or transition, delivering revenue growth, cost improvement, proposition development, technology adoption or commercial transformation.
Delivered as fixed-fee programmes, embedded leadership or ongoing commercialisation support. See offer detail.
Proof
Outcomes, not activity.
16
Water companies adopting a new open-data platform
Supported the creation and launch of Stream, the UK water sector's first open-data platform.
Months → Weeks
Drug-discovery screening timelines
Helped commercialise an advanced-computing application that reduced drug-discovery screening timelines from months to weeks.
Examples reflect prior senior-team experience and are not necessarily direct Triggerfish Ventures client engagements.
Explore all case studiesHow we deliver
From evidence to impact.
Triggerfish combines a repeatable commercialisation method, senior operators on the work and AI-enabled delivery through CommercialisationOS to move from evidence and opportunity to commercial impact.
- 01Evidence
- 02Opportunity
- 03Proposition
- 04Validation
- 05Business Case
- 06Mobilisation
- 07Adoption
- 08Impact
Senior operators
The people making the recommendations stay directly involved in the work.
AI-enabled delivery
CommercialisationOS accelerates evidence, synthesis and commercial decision-making.
Capability that stays
Clients retain the propositions, evidence, models, playbooks and commercial tools created during the engagement.
Senior team
Senior-led, by design.
Led by Co-Founders and Managing Partners Stephen Deadmon and Tony Barnett, a small senior team of experienced operators spanning commercialisation, product, AI and venture building.
Stephen Deadmon
Co-Founder & Managing Partner
Growth and commercialisation leader with 25+ years turning technology-enabled propositions into revenue. Previously built and led Sia Partners' UK&I Growth, Venturing & Innovation practice to £5m+ annual revenue, and was Director/COO of Inzenka. At Triggerfish he leads AI and technology commercialisation, venture build and enterprise GTM.
LinkedIn
Tony Barnett
Co-Founder & Managing Partner
Strategy, innovation and transformation leader with 30+ years' experience across major B2B organisations. Combines senior client-side leadership at O2 and British Gas with more than a decade advising through his own consultancy. At Triggerfish he leads work turning strategic ambition into commercially successful execution.
LinkedIn
Aby Handler
Director, Product & Commercial Growth
Product and proposition leader with 25+ years turning emerging technologies into scalable products, services and ventures. Deep experience across technology, telecoms, utilities and complex B2B markets. At Triggerfish he leads work on proposition development, customer-led innovation, partner ecosystems and AI commercialisation.
LinkedIn
Adam Male
Director, Revenue & Growth
Revenue and growth leader with 20+ years building and scaling technology-enabled businesses. Founded Urban.co.uk, led two successful exits, and served as CRO/COO of PropTech and FinTech business Mashroom. At Triggerfish he focuses on revenue growth, commercial operations and data-driven customer acquisition.
LinkedIn
Alessandra Ciniero, PhD
Director, AI & Deep Tech Commercialisation
AI and deep-tech commercialisation leader combining advanced technical expertise with venture building. PhD in Mechanical Engineering; experience across AI, computer vision, edge AI and quantum-inspired technologies. Founder of T-Baton. At Triggerfish she translates emerging technologies into validated propositions and scalable ventures.
LinkedIn
Larry Zentner
Senior Advisor, Data, AI & Venture Commercialisation
Data, AI and venture commercialisation leader with 25+ years bringing new propositions to market. Founded and led Inzenka, helping global organisations build and launch more than 100 new ventures. At Triggerfish he brings CEO-level experience in data, AI and scaling new businesses.
LinkedInStart a conversation
Ready to turn complex technology into commercial impact?
A focused conversation with a senior partner. No deck, no pitch. A sharp first read on your product, GTM or venture challenge.