Vectis.ai Hardware Pioneers MAX GTM & Event Intelligence Sprint

Overview

For Vectis.ai’s Hardware Pioneers MAX activation, I helped architect and execute the data, research, targeting, and operational systems around the event. We did not want the exhibition to become an expensive backdrop for a logo. We mapped the exhibitor ecosystem as a market, ranked commercial relevance, prepared account intelligence, and built the capture and follow-up structure needed to turn physical proximity into actual pipeline.

What It Delivers

• A complete research and prioritization layer across the Hardware Pioneers MAX exhibitor ecosystem.
• Structured exhibitor records covering company relevance, hardware focus, engineering complexity, commercial fit, and likely pain points.
• Professional-profile mapping across engineering, product, leadership, innovation, compliance, and commercial roles.
• A scoring model used to separate general event attendees from high-priority commercial accounts.
• A shortlist of priority organizations supported by account-specific research and conversation intelligence.
• Pre-event briefing packs covering company context, relevant people, likely design challenges, relationship angles, and Vectis positioning.
• A custom AI knowledge environment capable of answering questions about mapped companies and individuals before or during conversations.
• A Manual Intercept Protocol for high-value LinkedIn outreach, calls, introductions, and event-floor actions.
• QR and contact-capture logic designed to move interest into structured follow-up rather than loose business cards.
• CRM-conscious routing that respected the existing HubSpot ownership boundary.
• Post-event follow-up structures connecting meeting notes, contact intelligence, next actions, and commercial opportunities.
• A wider GTM model connecting event activity to subscriber growth, POC discussions, enterprise credibility, and fundraising evidence.

What I Did

• Helped define the event intelligence architecture and the data required to evaluate every relevant account.
• Structured the account-scoring logic used to rank organizations by strategic fit and likely commercial value.
• Worked across exhibitor research, professional-profile mapping, segmentation, contact enrichment, and target prioritization.
• Helped transform raw event and LinkedIn data into usable commercial intelligence rather than static spreadsheets.
• Designed the structure of company briefs, person briefs, pain-point mapping, and conversation preparation.
• Helped create the custom AI layer through which the team could query mapped people, companies, and account context quickly.
• Contributed to the Manual Intercept Protocol covering direct actions, outreach rhythm, event-floor engagement, and escalation.
• Connected pre-event research with during-event capture and post-event follow-up so the work operated as one lifecycle.
• Worked across research, data engineering, RevOps, narrative positioning, and execution planning.
• Helped align the event sprint with Vectis.ai's wider objective of building qualified demand and commercial evidence before its next fundraising stage.

Outcomes

• The event shifted from a general networking opportunity into an account-based commercial operation.
• Every priority conversation could begin with context rather than blind outreach.
• Research, scoring, targeting, engagement, capture, and follow-up were connected into one operating model.
• The team gained a searchable intelligence layer rather than relying on individual memory or disconnected notes.
• High-value organizations could be separated from lower-priority exhibitors before event time was consumed.
• Event activity was structured to support subscriber acquisition, enterprise POCs, partnership conversations, and investor evidence.
• The system created a repeatable model that could be applied to future industry events.

Proven Impact

• 253 exhibitors researched and structured.
• Approximately 700 professional profiles mapped across relevant accounts.
• 35 priority organizations isolated for deeper commercial attention.
• A throughput model of 375 accounts researched per day, approximately 112 engaged accounts, and 50 to 75 direct actions per day.
• Priority-account intelligence prepared for organizations including Jaguar Land Rover, STMicroelectronics, Medtronic Digital Surgery, and a major global EMC testing organization.
• Structured as part of an eight-week, £10,000 GTM programme.
• Built to support a wider objective of 5,000 qualified subscribers by 31 July 2026.
• Converted a two-day industry event into a structured before, during, and after-event commercial system.

Why It Matters

• Events create little value when attendance, targeting, capture, and follow-up remain disconnected.
• The sprint protected executive time by ensuring the most important organizations and people were identified before the event began.
• Account intelligence increased the credibility and relevance of first conversations.
• Structured capture reduced the risk of commercially valuable interactions disappearing after the event.
• The project demonstrated how research, automation, data engineering, and RevOps can turn physical proximity into scalable pipeline.
• It created evidence that Vectis could use not only for sales, but also for product validation and future fundraising.