Melaya vs Relevance AI
Both build AI agents without code; Melaya reaches into real Android apps with approval gates and local models, while Relevance AI fields enterprise AI workforces for sales and operations.
Pick Melaya if you need agents that operate real Android apps with on-device approval, run models locally or on your own keys, and want deterministic rule checks before any LLM judge. Pick Relevance AI if you want an enterprise-ready AI workforce for sales and GTM, with prebuilt agents like Bosh the AI BDR, SOC 2 Type II compliance, and mature multi-agent orchestration. Melaya is younger and in free open beta; Relevance AI is cloud-only and does not control mobile devices.
Melaya vs Relevance AI, feature by feature
| Capability | Melaya | Relevance AI |
|---|---|---|
| Mobile app control | Android Device Control: agents operate real apps on a real phone (open allowed apps, read the screen, tap, type, swipe) with an on-device approval gate; no API needed for the app being operated | None; automation runs through APIs and its integration catalog |
| Human-in-the-loop | Approval gate on every consequential write by default, including an on-device gate before a mobile agent publishes | Human-in-the-loop approval workflows available within agent runs |
| Model choice and local execution | Per-step routing across 23 AI providers, cloud or fully local via a local runner; bring your own model | LLM router across cloud providers (Claude, GPT, Gemini, Kimi, GLM); cloud-hosted models only as of 2026 |
| Evaluation and observability | Deterministic rule checks before any LLM judge, run traces, cost-per-accepted-result | Agent evaluations, tracing, audit trails, drift detection, A/B testing |
| Multi-agent orchestration | Multiple agents, tools, triggers, and gates composed on one visual canvas | AI workforce teams where agents delegate tasks to each other; a core strength |
| Prebuilt sales and GTM agents | 111 general-purpose agent personas; no dedicated AI BDR product | Bosh the AI BDR, outbound prospector, meeting scheduler, calling and meeting agents |
| Connector and tool breadth | About 1,697 tools plus RAG and memory | 1,000+ integrations, 2,000+ on Enterprise, including Salesforce, HubSpot, Snowflake, Databricks |
| Self-hosting and privacy | Runs in the cloud or fully local, including private inference on your own hardware | Cloud platform with data residency options and PII masking; no self-hosted deployment documented as of 2026 |
| Enterprise compliance | In free open beta; enterprise compliance program not yet comparable | SOC 2 Type II, GDPR, SSO/SAML, RBAC, audit logs |
| Pricing | Sandbox free, Outpost $20/mo with your own cloud keys, Forge for scheduled managed cloud; free open beta | Free tier (about 200 Actions/mo), Pro about $19/mo annual, Team about $234/mo annual, Enterprise custom; metered via Actions plus Vendor Credits, BYO API keys on paid plans |
| Best for | Builders who need agents on real mobile apps, private or local model execution, and verifiable evaluation | Sales and GTM teams that want an enterprise AI workforce with prebuilt agents and compliance |
Where Melaya wins
- Device Control on Android: agents operate real apps on a real phone, opening allowed apps, reading the screen, tapping, typing, and swiping, with an on-device approval gate before anything publishes and no API required for the app being operated. Relevance AI automates through APIs and integrations only.
- Local and private execution: per-step model routing across 23 AI providers, including fully local inference through a local runner, so agents can run on your own hardware. Relevance AI's LLM router covers cloud-hosted models only, with no self-hosted option documented as of 2026.
- Deterministic-first evaluation: rule checks run before any LLM judge, with full run traces and cost-per-accepted-result, so quality numbers rest on verifiable checks rather than model self-grading alone.
- Simpler pricing with no metering cliff: Sandbox is free and Outpost is $20 per month with your own cloud keys, with no Actions plus Vendor Credits dual meter to forecast and no reported overage spikes.
- Approval-first by design: human-in-the-loop gates sit on every consequential write by default, on the canvas and on the phone screen itself.
Where Relevance AI wins
- Enterprise readiness: SOC 2 Type II, GDPR, SSO/SAML, RBAC, audit logs, and data residency options, with named enterprise customers. Melaya is in free open beta and cannot match that compliance record today.
- Prebuilt sales and GTM agents: Bosh the AI BDR, calling and meeting agents, and CRM-native workflows for Salesforce, HubSpot, Apollo, and Gong ship ready to run, so sales teams see value with far less building.
- Mature multi-agent workforce orchestration: agent teams that delegate tasks to each other, plus A/B testing and drift detection, proven in production at enterprise scale.
- Managed integration catalog: 1,000+ maintained integrations, 2,000+ on Enterprise, including enterprise data platforms like Snowflake and Databricks.
Melaya vs Relevance AI: frequently asked questions
Is Melaya a good Relevance AI alternative?
Yes, if your priority is agents that operate real Android apps, local or bring-your-own-model execution, and deterministic evaluation, Melaya covers ground Relevance AI does not. It is a weaker alternative if you need SOC 2 Type II compliance or turnkey sales agents like Bosh the AI BDR today, since Melaya is still in free open beta.
How much does Melaya cost compared to Relevance AI?
Melaya's Sandbox tier is free, Outpost is $20 per month with your own cloud keys, and Forge adds scheduled managed cloud runs; the platform is currently in free open beta. Relevance AI has a free tier of about 200 Actions per month, a Pro plan around $19 per month billed annually, a Team plan around $234 per month billed annually, and custom Enterprise pricing, metered through separate Actions and Vendor Credits.
Can Melaya do what Relevance AI does?
Largely yes for the core: both let you build no-code AI agents with tools, triggers, integrations, RAG, and human approval steps, and Melaya composes multiple agents on one canvas. Melaya does not ship Relevance AI's prebuilt sales products such as Bosh the AI BDR or calling agents, so GTM teams wanting turnkey agents will move faster on Relevance AI.
Can Relevance AI control mobile apps the way Melaya does?
No. As of 2026 Relevance AI automates work through APIs and its integration catalog and does not offer device-level control of mobile apps. Melaya's Device Control lets agents open allowed Android apps, read the screen, tap, type, and swipe on a real phone, with an on-device approval gate before anything is published and no API required for the app being operated.
Does Relevance AI support local or self-hosted models?
Not as of 2026; its LLM router covers cloud-hosted models from providers like Anthropic, OpenAI, and Google, and no self-hosted deployment is documented. Melaya routes each step across 23 providers, cloud or fully local through a local runner, so you can run private inference on your own hardware.
Which is better for sales teams?
Relevance AI is the stronger fit for most sales teams today: it ships prebuilt GTM agents like Bosh the AI BDR, calling and meeting agents, and deep CRM integrations with Salesforce and HubSpot. Choose Melaya when sales work runs through mobile apps with no usable API, or when you need approval gates and local model execution over your outreach.
Is Melaya free to use?
Yes; Melaya is in free open beta, and the Sandbox tier stays free beyond that. Outpost is $20 per month with bring-your-own cloud keys, and Forge covers scheduled, managed cloud runs.
How do human-in-the-loop approvals compare?
Both platforms support human approval steps, so this is not a one-sided win. Melaya makes approval the default on every consequential write and extends it to the phone screen itself, with an on-device gate before a mobile agent publishes anything; Relevance AI offers approval workflows that you configure within agent runs.
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