Event-Tech Product Engineering & Integration Partner

Extend Your Event Platform Without Slowing the Core Roadmap

Toobler adds event-domain engineering capacity for event software companies — covering AI features, CRM and data integrations, reporting and platform modernisation — so your core product team keeps its roadmap while customer-requested capabilities still ship on schedule.

Review your event-tech product backlog

When Customer Demand Outpaces Core Platform Capacity

  1. 01 — The problem

    Event software vendors face a familiar squeeze: customers ask for AI assistants, sponsor and exhibitor intelligence, CRM sync, advanced reporting, onsite/mobile extensions and enterprise-specific workflows, while the core team is already stretched across platform maintenance, security, performance and the next release.

  2. 02 — How we work

    Toobler works alongside your product and engineering leadership as an extension of the team — taking on AI feature delivery, integration builds, reporting architecture and platform modernisation work as scoped sprints or a dedicated pod, governed by your standards and roadmap priorities rather than run as a disconnected parallel project.

  3. 03 — What changes

    Your core team keeps ownership of the roadmap and architecture decisions; the AI, integration, reporting and modernisation backlog around it moves forward without pulling senior engineers off platform priorities.

Capabilities

Engineering Scope Across the Event Platform

Capacity that plugs into an existing event software stack — engineering event-domain capabilities across four workstreams, drawn from years of production event-platform engineering.

  1. Event platform modernisation

    Architecture, multi-tenant SaaS design, reporting infrastructure, mobile experience, performance and scale, roles and permissions, and cloud migration work that unblocks the backlog without a full rebuild.

  2. Event data and CRM integration

    Connectors and pipelines across Salesforce, HubSpot, Marketo, registration, lead retrieval, exhibitor portals, meeting systems and marketing automation.

  3. Event AI development

    Recommendations, matchmaking, lead scoring, session summarisation, agenda and knowledge assistants, and configuration copilots, with governance applied where the output is consequential.

  4. Dedicated event-tech pod

    A retained team that extends platform modernisation, integration and AI feature engineering capacity as an ongoing pod rather than a one-off project.

Reference workflow

How Integration and AI Work Flows Through Your Platform

Most engineering requests from your customers or commercial team follow the same underlying path: data is connected or exported from the platform and adjacent systems, mapped to a common event data model, and used to generate a specific capability — a sponsor report, an exhibitor lead score, an AI-drafted summary, a CRM update.

Where the output is consequential, it passes through a human-approval step before it publishes or syncs back to CRM systems such as Salesforce, HubSpot or Marketo, with an audit trail retained for governance. This is the same pattern applied whether the work is a single integration, an AI feature or a broader modernisation programme.

Implementation approach

How the Event Platform Integration and AI Readiness Sprint Runs

A fixed-scope, paid engagement — not a free discovery call — that gives your leadership team a production-oriented plan before any build work starts.

  1. 01

    Map the platform and data landscape

    We examine your platform architecture, data flows, CRM and marketing-automation integrations, and sponsor/exhibitor workflows to see where data starts, moves and breaks.

  2. 02

    Prioritise the backlog

    AI feature requests, integration gaps, reporting needs and modernisation items are prioritised against commercial value and delivery effort.

  3. 03

    Produce an architecture and pilot plan

    You receive an ecosystem map, a production-oriented architecture, and a pilot plan for one measurable use case — ready to hand to your own team or to Toobler to build.

How we engage

Engagement Model and Delivery Experience

How does the engagement start?
Most vendor engagements start with the Event Platform Integration and AI Readiness Sprint — a fixed-scope, paid assessment of your platform, data and integration landscape that produces a prioritised backlog and pilot plan.
What comes after the sprint?
A focused pilot on one use case — an AI feature, a CRM integration, a reporting workflow or a modernisation item — followed by a broader integration or AI programme, and, for ongoing capacity, a dedicated engineering pod.
Do we lose control of our roadmap?
No. Your product and engineering leadership retain roadmap and architecture ownership throughout; Toobler's engineers work to your standards and release process, as an extension of the team rather than a separate vendor track.
What event-domain experience does Toobler bring?
Toobler's event-domain credibility comes from years engineering production event technology across a global events ecosystem — covering registration, sessions, sponsors, exhibitors, networking, meetings, onsite workflows, mobile, reporting and integrations.

Ready to Move Your Event-Tech Backlog Forward?

Start with a structured review of your AI, integration, reporting and modernisation backlog — scoped against your roadmap, not ours.

Review your event-tech product backlog

Related

Frequently asked

What does an event-tech product engineering and integration partner actually do?
It adds engineering capacity alongside your existing product team — building AI features, integrations, reporting and modernisation work that customers are asking for, without taking over your roadmap or replacing your platform.
Is Toobler an event software development company that builds a new platform?
No. Toobler works with event-tech vendors that already have a platform in production, extending it with engineering capacity for AI, integrations, reporting and modernisation rather than building a competing product.
What is involved in event platform modernisation?
Modernisation covers architecture, multi-tenant SaaS design, reporting infrastructure, mobile experience, performance and scale, roles and permissions, and cloud migration — scoped to unblock backlog without a full rebuild.
What kind of event integrations can be built?
Connectors and pipelines across CRM and marketing-automation systems such as Salesforce, HubSpot and Marketo, plus registration, lead-retrieval, exhibitor-portal and meeting-system integrations.
How does event AI development get governed?
AI features such as recommendations, lead scoring, summarisation and assistants are built with a human-approval and audit step applied wherever the output is consequential to a business decision.