onSpark AI

onSpark positions itself as a partnership operating system rather than another networking app. The core idea is that most founders and operators do not fail at partnerships because they lack value, but because the process is fragmented across LinkedIn, email, DMs, Slack groups and CRMs. onSpark centralizes that flow: a guided intake captures what you offer, who you serve and what you want from a partnership, and the platform turns that into a blueprint with trust and partnership-readiness scores.

From there, the AI matching engine proposes partners based on audience overlap, category fit, collaboration type, budget, timing and compatibility, and the deal architecture feature writes partnership plans, deliverables and KPIs so teams do not start from a blank page. Optionally connecting Google lets the platform import contacts, draft partnership emails, read relevant inbox threads and schedule meetings on your calendar. Everything routes through a shared Deal Ledger so both sides can see deal stages and outcomes.

The company reports over $2B in partnership revenue generated through its system and says more than 17,000 professionals are in its network. Pricing runs in three tiers: Access at $990 per month for self-driven execution with the tools and 1:1 strategy sessions, Concierge at $3,500 per month plus a 15% share of realized partnership revenue where the team sources and qualifies targets and builds assets, and a custom Enterprise tier for portfolios running multiple concurrent pipelines. A $100K performance guarantee is attached to the managed tiers.