Relevance AI sells an AI workforce to enterprise teams, with most of its examples in sales, customer success, and marketing: agents that research accounts, prep reps before meetings, log calls, and roll up the forecast. Its no-code builder, Invent, helps teams decide what to automate and build it, and an embedded deployment team gets enterprise customers live in the first weeks. The company raised a $24 million Series B led by Bessemer in May 2025, and Qualified, Autodesk, and Canva appear on its site.
General Input uses similar language for a different buyer. We build a digital workforce for each business: AI specialists that each own one recurring part of the operation, added one at a time. That includes go-to-market work, and also collections, reporting, client onboarding, and the back-office processes a small team runs every week. Teams set it up themselves, starting at $30 a seat.
What Relevance AI does well
- Go-to-market depth. Ready-made patterns for research, meeting prep, follow-up, scheduling, outbound, forecasting, and deal review.
- Calling and meeting agents. Voice agents that take calls and join meetings, on Team plans and up.
- Evaluation and monitoring. Agent evaluations, A/B testing, full tracing, and cost visibility for teams running many agents.
- Hands-on deployment. An embedded team maps use cases and helps enterprises build their first agents.
How they compare
| General Input | Relevance AI | |
|---|---|---|
| Built forRelevance AI leads with enterprise go-to-market teams. General Input serves teams of any size across operations, finance, sales, and support. | Any team | Enterprise GTM |
| Natural language building | ||
| Deterministic code workflowsGeneral Input runs fixed-step jobs as code with no model in the loop. Relevance AI bills each tool run as an Action. | ||
| App integrationsRelevance AI: 2,000+ apps listed on its plans. General Input: 850+ apps with 80,000+ documented operations, plus custom API connections. | 850+ | 2,000+ |
| Calling and meeting agents | ||
| Human-in-the-loop approvals | ||
| Entry priceRelevance AI Pro: $19/month billed annually for 2,500 Actions a month and 2 build users. General Input Pro: $30 per seat per month with 4,800 credits. | $30/seat/mo | $19/mo |
| SSO, role-based access, audit logsRelevance AI: Enterprise only. General Input: SSO on Enterprise; workflow sharing and execution logs on every plan. | ||
| Least-privilege credential scopingAgent Firewall limits each credential to specific operations, enforced outside the model. | ||
| Self-hosted / on-prem deployment |
Where they differ
Who sets it up?
Relevance AI's enterprise motion includes an embedded deployment team that maps workflows and stands up the first agents over several weeks, and its public pricing page lists only Enterprise. General Input is built for the team to set up itself: describe the job to a specialist, review the skill, workflow, and app it builds, and switch it on, with no deployment project.
What does it cost?
Relevance AI's self-serve plans are on its pricing docs: Pro from $19 a month billed annually ($29 monthly) with 2,500 Actions a month and 2 build users, and Team from $234 a month billed annually with 7,000 Actions and 5 build users. Every tool an agent runs counts as an Action, extra Actions are $80 per 1,000, and model usage draws from a separate Vendor Credit balance. The Free plan has been retired. General Input Pro is $30 per seat per month with 4,800 credits that cover both model and tool usage, and code workflows cost less than one credit per run.
Go-to-market only, or the whole operation?
Relevance AI's examples, case studies, and enterprise triggers (Salesforce, Snowflake, Zendesk) are built around revenue teams. General Input's specialists cover that work, like prospect research and meeting prep, and also the operations behind it: chasing invoices, reconciling payouts, onboarding clients, and producing the weekly numbers. For a staffing firm, for example, that means working from Bullhorn alongside email, calendars, and accounting tools.
When to use Relevance AI
Choose Relevance AI when you are a larger go-to-market organization that wants calling and meeting agents, formal evaluations, and a vendor team to help plan and deploy agents across sales and success.
When to use General Input
- You want to start this week. Self-serve setup, one specialist at a time, no deployment project.
- The work spans the business. Finance, operations, sales, and support processes, not only go-to-market.
- Some steps must be exact. Code workflows for fixed steps, agents only where judgment is needed.
- Simple pricing. One credit allowance per seat covers models and tools.
- Security has to sign off. Agent Firewall scoping, logged credential use, approvals, and on-prem deployment on Enterprise.
FAQs
Is General Input a Relevance AI alternative?
Yes, especially for small and mid-sized teams that want to set up AI specialists themselves. General Input covers go-to-market work and the back-office processes around it, with seat-based pricing that includes model costs.
Does Relevance AI have a free plan?
No. Relevance AI's pricing docs say the Free plan is retired for new and existing accounts, and paid plans start at $19 a month billed annually. General Input has no free plan either; the first month of any plan is 80% off.
Can General Input make phone calls or join meetings?
Not as a voice agent. General Input reads meeting notes and call recordings from tools like Granola and Gong and acts on them, for example by preparing a brief before a call or logging follow-ups after it.