Agentic Index
Distyl AI vs Relevance AI (2026)
Both vendors last verified
Both deploy multi agent systems into a business and they differ entirely on who does the work. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Relevance is self serve: a no code tool builder to construct your own agent workforce, with Pro from $19 a month billed annually. Distyl is delivered by forward deployed engineers, turning organizational knowledge into audited routines running inside Fortune 500 production systems, priced by quote. $19 a month against a quoted enterprise engagement is not a pricing difference, it is a different kind of purchase.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Distyl AI and Relevance AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Distyl AI if
- You want engineers embedded to deliver this.
- Audited routines inside production systems is the bar your environment sets.
- A scoped engagement with the vendor's engineers suits how you buy.
Choose Relevance AI if
- Your team will build this themselves, and $19 a month removes the decision.
- A no code builder is the right surface for your users.
- You want to start this week rather than scope an engagement.
| Feature | D Distyl AI |
R Relevance AI |
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| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Distyl AIIntegrations & Tool Calling Agents orchestrate tools and operate inside enterprise systems. Context Mesh ingests from documents, databases and APIs, and Personalization overlays the customer's contact center, app, web and chat. Integrations are built for each engagement, and there is no connector list, integration mechanism or auth route of Distyl's own. Sourcedistyl.ai/blog/news/nvidia-enterprise-agentsread 2026-09-27 |
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Relevance AIIntegrations & Tool Calling Agents call tools built in a no code tool builder and connect to a catalog of more than 2,000 integrations, and an MCP client lets them use tools from outside MCP servers. Sourcerelevanceai.com/pricingread 2026-09-27 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Distyl AIWorkflow Orchestration Distillery agents reason over complex states, execute generated code and spawn sub agents. Coordination across many agents handles both happy paths and failure cases. It is built on the NVIDIA NeMo Agent Toolkit's declarative configuration for different operational patterns. Sourcedistyl.ai/blog/news/nvidia-enterprise-agentsread 2026-09-27 |
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Relevance AIWorkflow Orchestration Workforces connect several agents and tools on a canvas with conditions on the edges between them, agents can hand work to subagents, and the tool builder supports looping and branching steps. Sourcerelevanceai.com/docs/build/workforces/workforce-features/approvals-and-escalations.mdread 2026-09-27 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Distyl AITriggers & Channel Coverage Personalization initiates outreach to customers on its own, and always on assistants operate continuously, so agents act without being asked. They work over app, web, chat, contact center and an in app voice layer. Customers get no event, schedule, webhook or queue mechanism to configure. Sourcedistyl.ai/technology/personalizationread 2026-09-27 |
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Relevance AITriggers & Channel Coverage Scheduled triggers let an agent act on its own on a recurring schedule or send messages at set future times, and agents also start from integration events, custom webhooks, an API trigger and tools used as triggers. Sourcerelevanceai.com/docs/build/agents/build-your-agent/agent-triggers/scheduled-triggers.mdread 2026-09-27 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Distyl AIKnowledge Grounding & RAG Context Mesh ingests documents, databases, APIs and expert input into one governed layer with provenance, ownership and freshness metadata for each source. Context Views turns files, conversations, code, tickets and operational data into source backed, permission aware business objects and task specific schemas that agents query. Sourcedistyl.ai/technology/context-meshread 2026-09-27 |
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Relevance AIKnowledge Grounding & RAG Knowledge sets are built from uploads (CSV, PDF, Excel, JSON, audio), website extraction, manual entry, and syncs from Google Drive, SharePoint and Notion, and an agent either takes the whole set in its prompt or searches it by retrieval with relevance thresholds. Sourcerelevanceai.com/docs/build/knowledge/create-knowledge.mdread 2026-09-27 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Distyl AIMemory & State Persistence Context Mesh writes back every agent action, human correction and outcome as shared memory. Personalization carries each customer's history across channels, so memory persists across interactions for each customer. Distyl does not say how long memory lasts, how long it is retained or how to delete one customer's memory. Sourcedistyl.ai/technology/context-meshread 2026-09-27 |
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Relevance AIMemory & State Persistence Long term memory lets an agent remember information across different conversations through save to memory and delete from memory tools, alongside short term memory that holds extracted fields for one conversation. Sourcerelevanceai.com/docs/build/agents/build-your-agent/memory.mdread 2026-09-27 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Distyl AIHuman Oversight & Guardrails Canary proposes changes to a deployed system, and domain experts review each one with its reasoning and approve it before it ships. Distillery surfaces failures to the right experts, and Context Views gives SMEs a directed review queue for conflicting knowledge. The approval covers changes to the system, not each live action. Sourcedistyl.ai/technology/canaryread 2026-09-27 |
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Relevance AIHuman Oversight & Guardrails Approval settings are configured per edge, so a sensitive tool can require approval while routine ones run automatically; in approval required mode the agent drafts its action and waits, and a reviewer approves, rejects or adds guidance from the task view. A let agent decide mode and escalations also exist. Sourcerelevanceai.com/docs/build/workforces/workforce-features/approvals-and-escalations.mdread 2026-09-27 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Distyl AISecurity, Identity & Governance The compliance claims conflict. Distyl describes itself as SOC 2 certified and GDPR compliant and shows an AICPA SOC badge, while its trust center says the company is working towards compliance certifications. There is no published SOC 2 report. Access control and single sign on are enterprise features on request, and Context Mesh applies fine grained permissions to what each agent can read. Sourcetrust.distyl.airead 2026-09-27 |
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Relevance AISecurity, Identity & Governance Relevance AI offers role based access control, SSO and SAML, directory sync, audit logs, PII masking and encryption at rest, and states SOC 2 Type II compliance. SSO, RBAC and audit logs sit on the Enterprise plan. A trust center at trust.relevanceai.com carries the report list. Sourcerelevanceai.com/enterpriseread 2026-09-27 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Distyl AIObservability & Auditability Systems deploy with monitoring, rollback controls and audit trails built in. When an agent acts, the record captures the exact knowledge state it reasoned from, the data accessed, the policies applied and the moment it acted, so each decision can be traced. Sourcedistyl.ai/technology/distilleryread 2026-09-27 |
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Relevance AIObservability & Auditability Execution traces cover agent invocations, individual LLM calls, workforce runs and condition evaluations, and audit logs cover creation, publishing, deletion and permission changes; on the Enterprise plan both stream to the customer's S3 for OTEL backends. A tasks view shows every agent and workforce run with errors and pending approvals, and views of run cost and outcomes sit alongside it. Sourcerelevanceai.com/docs/enterprise/streaming-events.mdread 2026-09-27 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Distyl AIDeployment & Data Residency Systems run under the customer's own governance and deep inside internal systems, and a Google Cloud partnership pairs the platform with Google infrastructure. Distyl names no deployment model or region and does not say whether the platform runs in the customer's cloud, a VPC or a Distyl tenant. Sourcedistyl.ai/blog/news/distyl-ai-partners-with-google-cloudread 2026-09-27 |
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Relevance AIDeployment & Data Residency An organization picks its region at signup from three named regions, US (N. Virginia), EU (London) and AU (Sydney), and the region cannot be changed afterward without support. The service is hosted SaaS, and Relevance AI does not describe a self hosted or VPC option. Sourcerelevanceai.com/docs/admin/project-management/ids.mdread 2026-09-27 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Distyl AIPrebuilt Agents, Templates & Packs Three named agent products ship alongside the platform. Journey is an in app voice guide, Personalization is a customer concierge and Apprentice handles process capture. Journey and Personalization, the two customer facing agents, draw on the shared Context Mesh and are customized for each engagement, so customers do not adopt them as they are. Sourcedistyl.ai/technologyread 2026-09-27 |
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Relevance AIPrebuilt Agents, Templates & Packs A marketplace carries agents and tools from Relevance staff and verified builders, free or paid, that can be cloned into a project and customized, alongside agent and tool templates and curated multi agent systems such as a BDR agent sold through sales. Sourcerelevanceai.com/docs/get-started/marketplace/introduction.mdread 2026-09-27 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Distyl AIModel Flexibility & Routing Several model providers figure in Distyl's work, including NVIDIA Nemotron through NIM, Google Gemini through the Google Cloud partnership and OpenAI models in benchmark work. Weave explores architectures and models to converge on the best one for a task. Distyl makes the choice for each system, and customers and admins have no control over the model. Sourcedistyl.ai/technology/weaveread 2026-09-27 |
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Relevance AIModel Flexibility & Routing Each agent picks its model from several providers, including Anthropic Claude, OpenAI and Gemini, and can set a backup model, recommended from a different provider, that retries a failed task once. LLM integrations cover OpenAI, Gemini, Anthropic, Azure and OpenRouter. Sourcerelevanceai.com/docs/build/agents/build-your-agent/agent-settings/language-model.mdread 2026-09-27 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Distyl AIAPIs, SDKs & MCP Extensibility There is no public API, SDK, MCP server or developer documentation for Distyl's own platform. The plugin architecture it builds on belongs to the NVIDIA NeMo Agent Toolkit. Distyl's writing on agent interoperability covers design patterns, not an interface of its own. Sourcedistyl.ai/llms.txtread 2026-09-27 |
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Relevance AIAPIs, SDKs & MCP Extensibility A TypeScript SDK, @relevanceai/sdk, runs agents, tasks, messages and workforces with streaming, an API trigger covers other languages, and an MCP server at mcp.relevanceai.com gives MCP clients OAuth access to a project's agents, tools and knowledge. Sourcerelevanceai.com/docs/sdk/introduction.mdread 2026-09-27 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Distyl AITesting, Debugging & Optimization Canary validates every proposed change against evaluation sets drawn from real production behavior and requires measurable improvement without regressions before deployment. Weave generates synthetic evaluation sets checked for correctness, and SMEs run evaluations and find the root cause of failures in the Weave UI. Sourcedistyl.ai/technology/canaryread 2026-09-27 |
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Relevance AITesting, Debugging & Optimization Test sets hold tests that simulate users and are scored by reusable checks, so versions can be compared on the same tests; publishing can require chosen test sets to pass at a minimum rate and block on failure, and monitor dashboards score live tasks against the same criteria with sampling and trend charts. Agent evaluations sit on the Enterprise plan. Sourcerelevanceai.com/docs/build/agents/evals/introduction.mdread 2026-09-27 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Distyl AIBrowser & Computer Use Agents execute generated code, but they do not use a browser or computer. Apprentice reads screen recordings of experts to map processes. It watches those recordings and does not operate a screen. Sourcedistyl.ai/technologyread 2026-09-27 |
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Relevance AIBrowser & Computer Use Browser steps (click, type, scroll by natural language or selector) run through Airtop, a separately sold browser engine that needs the customer's own Airtop account and API key. Relevance AI does not describe a browser or computer use agent of its own. Sourcerelevanceai.com/docs/build/tools/tool-steps/airtop-browser-automation/page-interaction.mdread 2026-09-27 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Distyl AI |
R Relevance AI |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales (no public price) | Pro at $19 a month billed annually or $29 monthly, Team at $234 a month billed annually or $349 monthly, and Enterprise at custom pricing. |
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Pricing confidence How public the numbers are |
Contact only | Public, partial |
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Billing Primary billing axis |
— | A plan subscription with two meters. Actions count each tool run, and Vendor Credits pay model and tool costs at provider rates with no markup. |
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Variable cost Workload / overage exposure |
High variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Self-serve |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Distyl AI
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· Observability / auditability
Distyl AI introduced Canary, a self-improvement layer within its Distillery platform that continuously analyzes production AI outcomes to identify system failures.
Source
Relevance AI
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· Agent capability
Relevance AI rolled out a multi-feature update introducing the Invent interface for agent creation and adding Google's Gemini 3.5 Flash as a selectable language model across all workflows.
Source -
· Integrations
Relevance AI added Confluence Knowledge Sync, project-level public-agent controls, and an Android app, improving enterprise knowledge connectivity, governance, and mobile workforce access.
Source -
· Pricing / packaging
Relevance AI split pricing into Actions and Vendor Credits, enabled BYO API keys, removed markup on vendor costs, and sunset the Business plan.
Source
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