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SpringBrandvsRelevance AIA Relevance AI alternative.
Start with a task, not a workforce.
Describe the job in chat, and SpringBrand builds the agent, runs it on a schedule and gets better every run, on one credit balance. Compare SpringBrand vs Relevance AI on building, running and pricing.
Interactive design preview · Curated examples, no live agent runs
SpringBrandSample outputA fictional sales agent: account research → ICP filter → email drafts → CRM.
People Data LabsExa
SheetsIllustrative tool stackYOUR DELIVERABLE
Accounts that fit, with outreach drafted.
| Account | Signal | Status |
|---|---|---|
| 01Ridgeline | Raised Series B last month | Ready |
| 02Northwind | Hiring 4 SDRs | On track |
| 03Beacon Labs | Below ICP headcount | Review |
18 of 25 accounts fit. Drafts are ready for review; approved accounts sync to HubSpot.
Review it once, then save it as an agent.
ONE TASK. SAVED AS AN AGENT.
Account data → ICP filter → drafts → HubSpot
THE SHORT VERSIONWhich one should you choose?
Which one should you choose?
It depends on the job.
Choose Relevance AI when you are building multi-agent workforces with calling agents, evaluations and enterprise triggers, and want a deployment team to help.
Choose SpringBrand when you want to describe one job, save it as an agent and schedule it yourself, starting free, with one credit balance instead of Actions plus Vendor Credits.
THE PRACTICAL DIFFERENCES
The questions buyers ask, answered side by side.
Each row is a question buyers ask before switching. Relevance AI cells come from its public site and plan documentation; SpringBrand cells from its own pages.
Swipe the table to see both answers.
| What matters to your team | SpringBrand | Relevance AI AI workforce platform for GTM teams |
|---|---|---|
| How do I build an agent? | Describe the job in chat; SpringBrand proposes instructions, data sources, apps and skills and you confirm. Or fill in the same four parts in a form. No code. | Build agents, tools and multi-agent workforces in a builder; Invent helps turn expertise into agents. |
| What happens while I'm offline? | Agents run in the cloud on a schedule (by day, by week or at a set time) and push results to Slack, Microsoft Teams or Lark. Plus 3 daily tasks, Pro 20 every 15 min, Max unlimited every 5 min. | Scheduled tasks, 1,000+ app triggers and premium triggers; enterprise triggers for Salesforce, Snowflake and Zendesk. |
| How does it get better? | It learns from results and feedback and remembers your preferences, formats and usual tools for the next run. | Knowledge and memory sized by plan; agent evaluations and A/B testing on higher plans. |
| What can it connect to? | A marketplace of Agents, Skills and 10,000+ APIs and plugins on one credit balance; reads and writes Gmail, Slack, HubSpot and your company docs. | 2,000+ apps, custom tools and API integrations; bring your own LLM keys. |
| How many jobs can run at once? | 1 agent at a time on Free, 2 on Plus, 5 on Pro and 20 on Max, with runs from 5 minutes up to 4 hours. | Concurrent agent tasks listed as Standard on Pro, More on Team and Custom on Enterprise. |
| Who on my team can use it? | Share an agent by link or publish it; Team plans add Owner, Admin and Member roles and pooled credits; SSO and SCIM on Enterprise. | 2 build users on Pro; 5 build users and 45 end users on Team; SSO, RBAC and audit logs on Enterprise. |
| What will it cost? | Plus $29, Pro $59, Max $199 a month ($23 / $47 / $159 billed annually); a typical task uses about 15–40 credits; top-ups $5 per 1,000. | Pro 19 USD a month billed annually (29 USD monthly), Team 234 USD (349 USD monthly); Actions and Vendor Credits metered separately. |
| Where can I start for free? | Free plan: 300 credits on signup, then 100 a month, no credit card; 1 agent at a time. | Free plan retired for new signups and existing accounts. |
| Do I need a build team? | No. It is self-serve: describe the job in chat or fill in a form, then share the agent with your team. | Self-serve builder, plus an embedded deployment team and custom implementation on Enterprise. |
Based on public product and pricing pages · Reviewed October 23, 2026View sources
01 / BUILD AN AGENT IN CHATDescribe the job in chat.
Describe the job in chat.
Or fill in a form.
Tell SpringBrand what you need in plain language. It proposes the agent's setup, you confirm it, and the same conversation becomes the agent's runner. Or do the task once, review the result and save it as an agent.
Prefer a form? Fill in the same four parts yourself: instructions (the system prompt), data sources (APIs), connected apps such as Gmail or Google Sheets, and skills. No workflow canvas, no code.
- Instructions: the job in your words
- Data sources and connected apps
- Skills, then save and share the agent
A CHAT BECOMES AN AGENTIllustration
You
Research these 25 target accounts, keep the ones that fit our ICP and draft a first email for each.
Describe the job
01The goal, the inputs and the result you want
Confirm the proposed setup
02Instructions, data sources, apps and skills
Run, review, save
03Check the result, then save and share the agent
Saved agent · Outbound account researchReady to reuse
02 / ALSO FROM CLAUDE CODE, CODEX & CURSORWork in SpringBrand.
Work in SpringBrand.
Or call it from your coding agent.
MCP is a second way in, not the main one. If you already work in Claude Code, Codex or Cursor, connect SpringBrand's MCP server or plugin and call the same marketplace tools and APIs from there.
Relevance AI lists 2,000+ apps, 1,000+ app triggers and an API & MCP offering. If you work from a coding agent, check the exact actions your job uses in both products.
Explore MCP client setupYOUR AGENT. CONNECTED.Illustration
Claude CodeYour workspaceSpringBrandAI agent builder
Files
Knowledge
UpdatesConnect SpringBrand’s MCP tools to your Claude Code session.
View Claude Code setup03 / NO WORKFLOW TO DRAWNo canvas to draw,
No canvas to draw,
just the output.
A useful AI workflow brings inputs, connected apps and an output together. SpringBrand reads the sources you connect and writes the update, without a node graph to build or maintain.
Agents read from and write to Gmail, Slack, HubSpot and live data sources. Review the first update, then let the agent post the next one where your team already works.
Explore the workflow exampleFROM APPS TO ACTIONWorkflow example
Project filesStatus dataTeam notesSpringBrand AgentRead sources · Organize · Write the update
EXAMPLE DELIVERABLE
DraftWeekly project report
ProductPrototype reviewedOn track
OperationsAssign handoff ownerReview
ResearchFindings documentedReady
Sources stay linked to the update
A clear update, posted where your team works.
04 / ONE MARKETPLACE, ONE BILLAgents, Skills, APIs.
Agents, Skills, APIs.
One subscription, one bill.
The marketplace has three shelves: ready-made Agents by function (Sales, Marketing, HR and more), Skills that add expertise such as financial modelling, and APIs for data and tools.
Ten tool subscriptions and ten bills become one subscription and one bill. Credits work across 10,000+ APIs and plugins, with search, social, SEO and sales data built in and no API keys needed.
For a Relevance AI alternative, compare how each run is paid for. Relevance AI meters Actions and Vendor Credits separately, with bring-your-own-key options. SpringBrand uses one credit balance across 10,000+ APIs and plugins, with built-in data and no keys to manage.
Explore the marketplaceTOOLS FOR THE TASKCatalog illustration
Search Agents, Skills and 10,000+ APIs
Company & contact data
Look up firmographics and contacts without your own API key.
Research · Example capabilityThe task decides which tools run.
Example categories. Check what is live in the marketplace.
05 / COMPANY KNOWLEDGE BASEUpload your company docs.
Upload your company docs.
Get work that follows them.
Agents use your company's docs and data. Upload guidelines, product material and playbooks to a company knowledge base, and answers and output follow your context instead of generic model memory.
This example turns a brief and handoff notes into a short summary with source references and one open question, so it is clear what is settled and what still needs a decision.
Compare this part of SpringBrand vs Relevance AI around your team: Relevance AI offers knowledge bases and memory sized by plan for agents and workforces. SpringBrand agents use your company docs and learn your preferences from each run.
Explore Google Drive MCPCONTEXT YOU CAN FOLLOWExample output
Project brief01Handoff notes02Project handoff summary
The prototype is ready for review; only the data handoff is still open.
Owner still to confirmSource 02
Review scope agreedSource 01
06 / SCHEDULES & RESULTS IN SLACKSchedule it once.
Schedule it once.
The result comes to you.
Set a schedule by day, by week or at a set time. The agent runs in the cloud while you are offline and pushes the result to Slack, Microsoft Teams or Lark (Feishu), where your team can @mention it to hand over the next task.
SpringBrand includes 3 daily scheduled tasks on Plus, 20 every 15 minutes on Pro and unlimited every 5 minutes on Max. Relevance AI includes scheduled tasks and app triggers, with enterprise triggers for Salesforce, Snowflake and Zendesk. Compare cadence, triggers and cost per run.
Each run improves on the last: the agent learns from results and your feedback and remembers preferences, formats and usual tools. Review the first scheduled runs before you rely on them.
Compare plans for scheduled workA REPEATABLE ROUTINESchedule illustration
Weekly account research
Example routine · Every Monday
Mon
Tue
Wed
Thu
Fri
Every Monday09:00 · Local time
- 1Collect the latest inputs
New target accounts and CRM notes
- 2Research and score
Signals, ICP fit and a likely buyer
- 3Post it to the team
Sent to Slack, top accounts first
Scheduled tasks: Plus 3 (daily), Pro 20 (every 15 min), Max unlimited (every 5 min).
SPRINGBRAND VS RELEVANCE AI PRICING
Compare the cost of your work.
Start with the plans. Then evaluate the same task, the same tools, and the usage your team actually needs.
SpringBrand
AI agent builder$29/ month
Plus · Monthly price; lower when billed annually
- 3,000 monthly credits
- Run 2 agents at once, with 3 daily scheduled tasks.
- Top-ups: $5 per 1,000 credits
Relevance AIAI workforce platform
Pro Team and Enterprise also available
from19 USD/ month
Pro billed annually · 29 USD monthly
- 2,500 Actions a month
- 20 USD of Vendor Credits a month
- 2 build users · 1 project
Prices checked October 23, 2026. Credit units and included usage differ. Price the same task on both; no like-for-like savings are implied.
What changes the cost of an AI agent?
When comparing SpringBrand vs Relevance AI pricing, work backward from one representative task: how many runs a month, which tools each run calls and who on the team needs access.
Actions vs credits
Relevance AI counts an Action each time an agent runs a tool, plus Vendor Credits for model and tool usage. SpringBrand counts credits per API call and task. Run the same job once in each and record both meters.
Users and projects
Relevance AI plans limit build users and projects (2 build users and 1 project on Pro). SpringBrand Team plans are priced per seat with pooled credits. Count who builds and who only uses the agents.
Top-ups and rollover
Relevance AI sells extra Actions at $80 per 1,000 and Vendor Credits at $20 per 10,000. SpringBrand top-ups are $5 per 1,000 credits. Check what rolls over on each plan.
CHOOSE FOR YOUR TEAM
Who should pick which?
Find the sentence that sounds like your team.
Choose SpringBrand if…
You run sales or support ops and want an agent running today, described in chat, without designing tools first.
- One credit balance is easier for your finance team than Actions plus Vendor Credits.
- You want to start free and self-serve, without a sales call.
- Use both if Relevance AI already runs your calling agents or workforces: keep those there and build quick research or reporting agents in SpringBrand.
Choose Relevance AI if…
You want multi-agent workforces with escalations, evaluations and A/B testing.
- Calling and meeting agents are part of the plan you need.
- You want an embedded team to help design and deploy your first agents.
- You need enterprise triggers for Salesforce, Snowflake or Zendesk, or bring-your-own LLM keys.
SWITCHING FROM RELEVANCE AIMove one job.
Move one job.
Keep what works.
Switching starts with the jobs you actually rely on. Write down the goal, the inputs and the result for one of them, then rebuild that job as a SpringBrand agent and compare the output.
Pick one agent your team relies on in Relevance AI, such as account research or a pre-meeting brief. Describe the same job to SpringBrand, save the result as an agent and compare output, setup time and cost. Run both in parallel for a week before you switch the old flow off.
Explore a workflow exampleYOUR MIGRATION CHECKLISTPlanning guide
Relevance AISpringBrand
SpringBrand- 01
Agents & instructions
List each Relevance AI agent with its goal, inputs, tools and expected output. Describe the same job to SpringBrand in plain language and save the first good run as an agent.
- 02
Tools & connections
Map each Relevance AI tool or integration to a SpringBrand capability. Reconnect accounts such as Gmail, Slack or HubSpot and check read and write permissions.
- 03
Knowledge & context
Collect the documents and knowledge the agent uses. Attach them as company context; do not assume a knowledge base transfers automatically.
- 04
Triggers & checks
Replace app triggers with a schedule, a teammate or an @mention in Slack, only after a sample run is right. Check duplicates, time zones and credit use.
Manual evaluation and setup. No automatic Relevance AI import is offered here.
A FEW MORE DETAILSSpringBrand vs
SpringBrand vs
Relevance AI: FAQs
Building agents, schedules, the marketplace, pricing and switching.
It depends on how much you want to build. Relevance AI suits teams building multi-agent workforces with evaluations and an embedded deployment team. SpringBrand suits teams that want to describe one job in chat, save it as an agent and schedule it, starting on a free plan.
Relevance AI builds agents, tools and workforces in a builder and meters Actions and Vendor Credits separately. SpringBrand builds the agent from a chat or a four-part form, runs it on a schedule and uses one credit balance across Agents, Skills and 10,000+ APIs and plugins.
No. Relevance AI is built around multi-agent workforces with escalations, evaluations and A/B testing, and offers calling and meeting agents on Team. SpringBrand focuses on single agents that each do one job well, which teams share by link or publish to the marketplace.
There is no automatic import. Document each agent's goal, tools, knowledge and triggers, describe one job to SpringBrand and save the result as an agent. Run both in parallel for a week before you switch the old agent off.
No code. Describe the job in chat and SpringBrand proposes the agent's setup — instructions, data sources, connected apps and skills — for you to confirm. If you prefer, fill in the same four parts in a form. You do not need to design tools first; the marketplace supplies them.
Agents work from live data, the tools you allow and your company documents rather than from model memory alone, and many tasks return sources with the result. Review the first runs; the agent learns from your feedback, so later runs need fewer corrections.
Search the marketplace first — Agents, Skills and 10,000+ APIs and plugins. Connect your own accounts for the apps your work already lives in. For systems that need a custom connection, talk to us about Enterprise.
One subscription and one credit balance cover the models, APIs and data an agent uses — instead of a separate subscription and bill for every tool. A typical agent task uses about 15–40 credits; each plan lists its monthly credits, agents at once and scheduled-task capacity, and top-ups are $5 per 1,000 credits. There is one meter to watch, not Actions and Vendor Credits side by side.
Relevance AI's documentation says its Free plan is retired; Pro is 19 USD a month billed annually (29 USD monthly) with 2,500 Actions and 20 USD of Vendor Credits, and Team is 234 USD billed annually (349 USD monthly). SpringBrand Free gives 300 credits on signup, then 100 a month, no credit card; Plus is $29 a month ($23 billed annually), Pro $59 and Max $199. Units differ, so price the same task.
Stay with Relevance AI when you run multi-agent workforces or calling agents, need enterprise triggers for Salesforce, Snowflake or Zendesk, bring your own LLM keys, or want a dedicated implementation team.
EXPLORE THE EXPERIENCE
Explore your agent’s next connection.
BRING YOUR NEXT TASKSee what your first agent
could get done.
Describe the task, review the result,
and save it as an agent that runs on schedule.
Comparison reviewed October 23, 2026. Product details can change.