Relevance AI Alternatives (October 2026)
TL;DR: Relevance AI is a no-code platform for building AI agents and multi-agent workforces, billed in Actions plus pass-through model costs. Swfte Studio is a managed visual builder for agents and workflows on the same platform as a model gateway. Compare them on how each bills, governs and releases agents.
About Relevance AI and why teams compare it
Relevance AI describes itself as the home of your AI workforce: a platform for building AI agents and multi-agent teams that complete tasks on their own. Its docs name four building blocks: Agents, Tools (a no-code workflow builder), Workforces and Knowledge. It states 1,000+ connected apps on its home page, an MCP server and client, evals on every plan, and SOC 2 Type II and GDPR compliance in its security docs. Usage is counted in Actions, one per tool run, with model costs passed through as Vendor Credits. Teams compare it with Swfte when they want agents that are tested, approved and versioned, and want to know how each platform meters usage. This page compares the two on published facts and says who should pick which.
Relevance AI sits in the No-code AI agent and multi-agent workforce platform category. In short: A platform for building AI agents and multi-agent teams ("workforces") from tools, knowledge and instructions, with evaluation, approvals and version history, billed per Action plus pass-through model costs. Pricing as published is Pro $19 per month billed annually or $29 monthly (2,500 Actions and $20 of Vendor Credits per month, 2 build users, 1 project); Team $234 per month annually or $349 monthly (7,000 Actions and $70 of Vendor Credits per month, 5 build users, 45 end users, 5 projects); Enterprise custom. Top-ups: $80 per 1,000 Actions and $20 per 10,000 Vendor Credits. The docs say the Free plan is retired. It is best for Business and operations teams that want to assemble agents and multi-agent teams without code, with evals and approvals built in.
Swfte vs Relevance AI at a glance
| Capability | Swfte | Relevance AI | Checked at |
|---|---|---|---|
| Category | Visual builder for agents and workflows (Studio), on the same platform as the gateway | No-code platform for building AI agents and multi-agent teams (Workforces), with Tools, Knowledge, evals and approvals, per Relevance AI | Introduction |
| Pricing unit and plans | Free (10 workflows, 5 agents, 2,000 executions per month); Pro $39; Team $99 (3 users included); Enterprise custom | Pro $19 per month annual or $29 monthly; Team $234 per month annual or $349 monthly; Enterprise custom. Annual billing saves 33% over monthly, per Relevance AI | Pricing docs |
| How usage is counted | Executions per month by plan; see the pricing page for model usage terms | Two meters. An Action is a single run of a Tool, counted whether or not it succeeds. Vendor Credits cover the cost of the AI model and are passed through with no markup. Top-ups are $80 per 1,000 Actions and $20 per 10,000 Vendor Credits; plan-included Actions reset at renewal and Vendor Credits roll over while subscribed | Plans and credits |
| Included allowances | Free: 10 workflows, 5 agents and 2,000 executions per month | Pro: 2,500 Actions and $20 of Vendor Credits per month, 2 build users, 1 project, 90-day task history. Team: 7,000 Actions and $70 of Vendor Credits per month, 5 build users, 45 end users, 5 projects. The docs say the Free plan is retired for new sign-ups and existing accounts | Pricing docs |
| Integrations | 100+ tool integrations, plus an API for custom systems | 1,000+ apps on the home page, plus MCP support and custom connectors. Salesforce, Snowflake and Zendesk triggers are restricted to Enterprise per the pricing-change notice | relevanceai.com |
| AI agents and models | Any model reachable through the Connect gateway; agents and multi-agent orchestration in Studio | Agents and Workforces (multi-agent teams) built from Tools and Knowledge. The home page lists Gemini, GPT, Claude, Kimi and GLM models. Connecting your own OpenAI key shows model cost on your own OpenAI bill instead of Vendor Credits | Connect your own OpenAI key |
| MCP | Not listed among Studio’s features on this site; see our MCP gateway guide | An MCP server gives Claude, ChatGPT, Cursor, VS Code and other clients access to your agents, tools and knowledge, with per-project OAuth. A separate MCP client connects external MCP servers to your agents | MCP server |
| Human approval | Role-based access and human-approval steps in workflows; configurable data-retention policies are designed for, not shipped | Three modes: Auto Run, Approval Required and Let Agent Decide, plus escalation tools such as Slack or email notifications. Which plans include them is not stated on the page | Approvals and escalations |
| Evaluation and versioning | Testing and evaluation: A/B experiments between chatflow versions and safety policies on agents are built; golden sets and regression runs are in development. Versions with promote and rollback for chatflows and workflows; release channels and gradual rollouts are in development | Evals (simulated conversations, reusable checks, a publish gate and live monitoring) are available on every plan; each Check costs 1 Action. Versions save on every draft save and on publish, restore lands in draft, and versions are kept indefinitely unless a retention policy applies | Evals |
| Hosting | Managed service; customer data at rest in AWS Ireland. Dedicated or private deployment is designed for and scoped as an engagement, not self-serve | Cloud service. Data region is chosen at signup (US N. Virginia, EU London or AU Sydney) and cannot be changed afterwards. A self-hosted edition or dedicated deployment is not verified from the pages we reviewed | Security overview |
| SSO and admin controls | SAML SSO and SCIM are in development | SSO with SAML 2.0 and OIDC is stated for Enterprise customers only; role-based access control is being rolled out to Enterprise customers. SCIM is not mentioned on the SSO page | SSO setup |
| Data use | See the trust centre; a no-training statement is pending confirmation and is not made here | States it does not use your data to train its models or improve its services unless you have a specific partnership agreement with it | Security overview |
| Compliance | No SOC 2 report or ISO 27001 certificate is held and no HIPAA BAA is signed today; a SOC 2 Type I audit is in preparation (see the trust page). The exact posture depends on your use case, jurisdiction and deployment | States it is SOC 2 Type II compliant and compliant with GDPR; encryption is TLS 1.2+ in transit and AES 256 at rest. ISO 27001 and HIPAA are not mentioned on that page | Security overview |
| Export and portability | Not verified for Studio on this page | Agents can be shared as cloneable templates or copied between projects. A file or JSON export of an agent is not mentioned on the sharing page | Share your agent |
Relevance AI values were checked against the vendor's own pages on October 6, 2026. Plans, prices and limits change; confirm on the vendor's page before you decide. Where a cell is blank or says "not verified", we could not confirm it from a primary source and chose not to guess.
Who should pick which
Pick Relevance AI if
- You want to build multi-agent teams (Workforces) without code and have a documented model for how they are built, shared and cloned.
- You need SSO with SAML 2.0 or OIDC today and are on, or will buy, an Enterprise plan; Swfte’s SAML SSO is still in development.
- You want to choose a data region (US, EU or AU) at signup; Swfte stores customer data at rest in AWS Ireland.
- You prefer Vendor Credits that pass model cost through with no markup, or want to connect your own OpenAI key.
- You want evals and approvals on a plan you can start on at $19 per month billed annually.
Pick Swfte if
- You want the builder and the model gateway on one platform, so routing, failover and cost tracking are shared with your workflows.
- You prefer plans measured in executions per month, with a Free tier that includes 10 workflows, 5 agents and 2,000 executions.
- You want A/B experiments between chatflow versions and version rollback, with golden sets, regression runs and release channels in development in the build flow.
- You want agent governance in Nexus next to Studio, and human-approval steps in workflows.
- You accept Swfte’s current gaps: SAML SSO and SCIM are in development, dedicated or private deployment is an engagement and not self-serve, and the integration catalogue is smaller than the 1,000+ apps Relevance AI states.
What Relevance AI does well
- Agents, Tools and Workforces (multi-agent teams) are the core objects, built without code
- Evals are available on every plan, with test sets, reusable checks, a publish gate and monitoring of live tasks
- Three approval modes (Auto Run, Approval Required, Let Agent Decide) plus escalation tools, and version history that saves on every draft
- A hosted MCP server exposes your agents and tools to Claude, Cursor, ChatGPT and other clients, and an MCP client connects outside servers to your agents
- Data region (US, EU or AU) is chosen at signup, and Vendor Credits pass through model cost with no markup, per Relevance AI
Trade-offs to weigh
- Billing has two meters, Actions and Vendor Credits, so forecasting cost means estimating both
- Plan-included Actions reset at each renewal, and only credit cards are accepted
- SSO and role-based access control are documented as Enterprise only, and the data region cannot be changed after signup
- The Free plan is described as retired in the docs, so every organisation starts on a paid subscription
When Swfte is the better choice
When you want one builder with a model gateway behind it, execution-based plans that include a Free tier, and versioned releases with rollbacks. Relevance AI is further ahead on SSO and role-based access today, and lists data-region choice.
Swfte Studio builds agents and workflows visually, and uses the Connect gateway for model access, so routing, failover and cost tracking are shared. Studio lists testing and evaluation, semantic versions with rollbacks, and human-approval steps in workflows. Nexus adds agent governance. For a team that wants agents released the way software is released, that is the point of the product.
Swfte is not a drop-in replacement for Relevance AI. Relevance AI documents SAML 2.0 and OIDC SSO for Enterprise and lets you choose a data region, and it states a larger app catalogue. Swfte is earlier on enterprise identity: SAML SSO and SCIM are in development, and dedicated or private deployment is an engagement, not self-serve.
Where Swfte fits
Agents with a release process
Studio lists A/B experiments between chatflow versions and version rollback, with golden sets, regression runs and release channels in development, so a change to an agent is tested and released rather than edited live.
One platform for agents and model access
Studio uses the Connect gateway, so model routing, failover and cost tracking sit with the agents that use them.
Approvals and governance around agents
Studio has role-based access and human-approval steps in workflows, with Nexus available for agent governance; configurable data-retention policies are designed for, not shipped.
Keep Relevance AI where it already works
If a Workforce already runs a process well, there is no need to move it. Try Swfte on the next agent and compare how each handles testing, release and cost.
How to migrate from Relevance AI to Swfte
1. List your agents, tools and Workforces
Note which Tools each agent calls, which Knowledge it reads, which approval mode it uses and how many Actions it consumes in a month. Actions are counted per Tool run, so busy agents show up quickly.
2. Check what Studio covers
Relevance AI states 1,000+ apps; Studio lists 100+ tool integrations plus an API for custom systems. Mark the apps each agent depends on and confirm each is reachable in Studio or through the API.
3. Record each agent’s configuration
Relevance AI documents cloning and copying agents between projects, and does not mention a file or JSON export on its sharing page. We do not list an import for Relevance AI agents, so copy the instructions, tool steps and eval checks by hand as a record to rebuild from.
4. Rebuild one agent in Studio
Recreate the instructions, the tools and any approval step. Studio’s free plan includes 10 workflows, 5 agents and 2,000 executions per month, enough to test one case.
5. Re-create the evals and compare
Turn the simulated conversations you use in Relevance AI Evals into your own set of expected outputs, run 20 to 50 real inputs through both, and compare outputs, failures and cost.
6. Cut over what holds
Move an agent once its results match, and keep the Relevance AI plan until the last one is done. Change or end the plan only after checking your renewal terms.
How Relevance AI compares to other alternatives
Other agent builders worth comparing are Gumloop, Lindy and StackAI, and Dust for team assistants. Each has its own page in the alternatives index.
For a full cross-comparison see the alternatives index and the head-to-head comparisons grouped by category.
Sources
Relevance AI facts on this page come from the vendor's own documentation and pricing pages. Swfte facts come from our pricing and product pages. See something out of date? Tell us at sales@swfte.com and we will correct it.
- Relevance AI home page
- Relevance AI pricing
- Relevance AI pricing docs
- Plans and credits
- Pricing and packaging changes
- Relevance AI introduction
- Relevance AI security overview
- Single sign-on setup
- Role-based access controls
- Relevance AI for enterprise
- MCP server
- MCP client
- Approvals and escalations
- Evals introduction
- Version history
- Share your agent
- Connect your own OpenAI key
Frequently asked questions about Relevance AI alternatives
Is Swfte a Relevance AI alternative?
For building and governing AI agents and workflows, yes. Both let teams build agents without code with evaluation, approvals and version history. They differ on billing, on the model gateway Swfte includes, and on enterprise identity, where Relevance AI documents SAML 2.0 and OIDC SSO for Enterprise and Swfte’s SAML SSO and SCIM are in development.
How much does Relevance AI cost?
Its docs list Pro at $19 per month billed annually or $29 monthly, and Team at $234 per month annually or $349 monthly. Pro includes 2,500 Actions and $20 of Vendor Credits per month; Team includes 7,000 Actions and $70. Enterprise is custom. Annual billing saves 33% over monthly, per Relevance AI.
Does Relevance AI have a free plan?
Its pricing docs say the Free plan is retired for new sign-ups and existing accounts, and that all organisations need a paid subscription. A search-result snippet of the same docs still showed a Free plan, so check the pricing page at the time you sign up.
What are Actions and Vendor Credits?
An Action is a single run of a Tool, counted whether or not it succeeds. Vendor Credits cover the cost of the AI model and are passed through with no markup. Extra Actions are $80 per 1,000 and extra Vendor Credits are $20 per 10,000. Plan-included Actions reset at renewal; Vendor Credits roll over while you are subscribed.
Can I import my Relevance AI agents into Swfte?
No. We do not list an import for Relevance AI agents, and its sharing page describes cloning and copying inside the platform rather than a file export. Treat your agent instructions, tool steps and eval checks as a record to rebuild from.
Can I self-host Relevance AI?
We did not find a self-hosted edition on the pages we reviewed. Its security docs describe a cloud service with a data region (US, EU or AU) chosen at signup. Swfte Studio is also a managed service; dedicated or private deployment is scoped as an engagement, not self-serve.
Does Relevance AI support MCP and human approval?
Yes to both, per its docs. Its MCP server gives clients such as Claude, ChatGPT and Cursor access to your agents and tools, and its MCP client connects external MCP servers to your agents. Approvals have three modes: Auto Run, Approval Required and Let Agent Decide. Studio lists human-approval steps in workflows; for MCP see our MCP gateway guide.
Which is better for compliance and SSO?
Relevance AI states SOC 2 Type II and GDPR compliance and documents SSO (SAML 2.0 and OIDC) for Enterprise. Swfte does not hold a SOC 2 report or an ISO 27001 certificate and does not sign HIPAA BAAs today; a SOC 2 Type I audit is in preparation, and the trust page has the current status. Its SAML SSO and SCIM are also in development. Ask each vendor for its documents and confirm scope for your use case.
Related alternatives
Related
- Swfte vs Relevance AI
- Gumloop alternatives
- Lindy alternatives
- StackAI alternatives
- AI agent governance guide
- MCP gateway guide
- Swfte Studio: build agents and workflows
- Swfte Connect: the model gateway behind Studio
- Swfte Nexus: governance for AI agents
- AI agent builder guide
- Best automation platforms, compared with sources
- Best AI agent builders, compared with sources
- Swfte pricing
- Trust centre: what is true today and what we do not claim
- All AI tool alternatives
- Head-to-head AI model + tool comparisons
- API pricing for every major LLM
- AI model leaderboard
- Best LLM 2026
- Best AI agents 2026
- Vendor lock-in leaderboard
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