Aomni vs Rox (2026)

Thirteen third party connections are available, and the list closes there. They cover CRM (HubSpot, Salesforce, Pipedrive), mail (Gmail, Outlook, SMTP), calendar (Google, Outlook), social (LinkedIn), research (Ocean.io, Exa) and enrichment (CrustData, Fullenrich). Built in web scraping, deep research and call recording sit alongside them, and CRM sync and sequencing write into outside systems. There is no custom connector, generic HTTP action or user defined tool that a customer could wire up, so tooling outside the thirteen cannot be connected.

Sourceaomni.com/landing/integrationsread 2026-09-01

Integrations cover Salesforce, with writeback, HubSpot, email, calendar, Slack, Microsoft Teams and data warehouses (Snowflake, Databricks, BigQuery), and the Teams plan includes CRM sync and writeback, so agents act in outside systems with the customer's credentials.

Sourcedocs.rox.com/development/product/integrations/salesforce/configuring-salesforce-integration-+-writeback.mdread 2026-10-01

The product runs a fixed three stage sequence of research, strategize and engage. The agent assembles account and contact intelligence, generates a plan from it, then drafts the outreach. Waterfall enrichment queries multiple contact data sources in one pass, and the Enterprise tier adds bulk research across many accounts in parallel.

Aomni names no branching or conditional logic, no retry or error handling and no routing of work between steps or agents. It says customers can build research workflows that match their own playbook, but publishes no workflow builder, step reference or condition syntax.

Sourceaomni.com and aomni.com/pricingread 2026-09-01

Teams configure multi step, multi agent work. They build custom agents through several creation paths, attach triggers and outputs, and run them beside the prebuilt research, outreach, deal and meeting agents. Rox's agent framework orchestrates account aware swarms across research, outreach, opportunity management and proposal generation.

Sourcedocs.rox.com/development/product/custom-agents.mdread 2026-10-01

A person starts the agent by signing in and supplying a target company name or URL. Calendar connections to Google and Outlook put meeting context in front of a rep, and a notification feed surfaces new deals and events, but neither starts the agent. Aomni names no schedule, webhook, inbound message, CRM update, inbox rule or monitoring alert that starts a run. The user meets the agent only in Aomni's own console. Email and LinkedIn carry outbound sequences to prospects, and the outbound webhook pushes data out instead of accepting work in.

Sourceaomni.com and aomni.com/landing/integrationsread 2026-09-01

Custom agents wake on triggers without a person. They run on a schedule (every weekday at 8 AM), before or after a meeting, on transcript completion, on opportunity activity, on a webhook call from outside Rox, and when a Clever Column cell is generated. Tracked Clever Columns also re-run on a schedule and notify on change.

Sourcedocs.rox.com/development/product/custom-agents/agent-triggers.mdread 2026-10-01

Output is grounded in the customer's selling context and in prospect research. The selling context is an intelligence layer trained on sales knowledge and a playbook of value propositions. The research is aggregated from the web into a report with a live event timeline. Aomni names no maintained index or retrieval store over the customer's own documents, and no knowledge base or document source among its integrations, so context is assembled for each run.

Sourceaomni.comread 2026-10-01

The corpus is the customer's own, and ingestion is described. A unified, governed knowledge graph consolidates structured sources including CRM, email and calendar data with unstructured ones including support tickets, job postings and news feeds, plus finance and product telemetry. The graph is built natively inside the customer's own warehouse, so entities, relationships and context across accounts, opportunities and interactions can be extracted reliably. Every agent action reasons over that graph, not over generic context.

Sourcemedium.com/snowflake/rox-the-next-generation-revenue-operating-system-powered-by-snowflake-08b5c6a9a963read 2026-09-01

Account intelligence persists between sessions and is stored by account. Research briefs, stakeholder profiles and account plans are kept for each company and returned to instead of regenerated each time. Shared team account intelligence on the Enterprise tier lets sales, marketing and customer success read the same account state.

What persists is these produced artifacts, and the playbook carrying ICP, value propositions and differentiators is customer configuration. Aomni names no learning that accumulates across runs, no correction retained between sessions and no memory the agent writes to and reads back.

Sourceaomni.com and aomni.com/pricingread 2026-09-01

There is no agent memory separate from the knowledge graph. Rox does not describe what an account agent retains from one cycle to the next or state a scope or lifetime for agent memory, and agents reason over the graph instead of writing to a memory they later read. The persistent understanding each account agent builds is that governed knowledge graph, the customer's own corpus.

Sourceaws.amazon.com/blogs/machine-learning/rox-accelerates-sales-productivity-with-ai-agents-powered-by-amazon-bedrockread 2026-09-01

The agent researches and drafts, and the rep works from the output. Aomni names no approval step for each action, no queue for approving sends on the email and LinkedIn sequences, no permission scoping on agent actions and no configurable runtime guardrail. The abuse guardrails in its commercial terms govern fair usage of the service, not agent behavior.

Sourceaomni.com, aomni.com/pricing and aomni.com/termsread 2026-09-01

A person controls whether an agent runs and can judge what it produced. Custom agents run only once a team switches the Active toggle on, after a test run, and outputs carry approve and reject controls. No step holds a CRM write or email for that approval before it commits, so approval reviews the output and nothing gates the action itself.

Sourcedocs.rox.com/development/product/custom-agents/activate-monitor-and-review-outputs.mdread 2026-10-01

Security details sit in a compliance portal at app.delve.co/aomni. Aomni names no attestation, commits only to reasonable security measures and names no certification, SSO or access model.

Sourceapp.delve.co/aomniread 2026-10-01

Permission Sets bundle resource, field and custom resource permissions and are assigned to users or through Pods, organization wide defaults set record and field access, and Access Provenance traces who can view a record. Enterprise organizations set up SAML SSO with their own identity provider through a self serve wizard. Rox reports SOC 2 Type II compliance with annual independent audits, and its trust center lists a SOC 2 Type 2 report on request and CASA Tier 2, with ISO 27001 marked coming soon.

SourceRox docs governance and enterprise SSO pages, rox.com/security and trust.rox.com; docs.rox.com/development/product/governance/permission-sets.mdread 2026-09-30

Aomni names no run traces, execution logs, activity or audit trail, and no record of what an agent retrieved or why it reached a conclusion. A notification feed shows new deals and events, and account research briefs hold what the agent produced. Neither records the agent's own steps.

Sourceaomni.com, aomni.com/landing/integrations and aomni.com/pricingread 2026-09-01

Agent runs are on the record. Each custom agent is monitored from its Agent page, a Runs page and the Home page, and its outputs (text, HTML, email, slides, files) can be reviewed, approved or rejected. Rox does not say what a run record shows, such as inputs, steps or tool calls, so why an agent acted cannot be reconstructed. Agentic monitoring tracks account signals, not agent runs.

Sourcedocs.rox.com/development/product/custom-agents/activate-monitor-and-review-outputs.mdread 2026-10-01

The service runs only in the cloud, and customers cannot choose where data is stored. No region selection, residency commitment, subprocessor list or data center disclosure is published. Personal information is stored for a period consistent with business purposes, and the only control on the customer's side is deletion on request by email. There is no self hosted, on premises, VPC or private tenancy option on any tier, including Enterprise, whose differentiators are bulk research, CRM sync, annual pricing and onboarding.

Sourceaomni.com/privacy-policy and aomni.com/pricingread 2026-09-01

Execution inside the customer's data warehouse is the defining architectural property, and Rox says plainly that all customer data stays inside the customer's data warehouse.

Rox uses Snowflake zero-copy data sharing to gain governed access to warehouse data without persisting raw datasets outside customer control, with the Rox knowledge graph grounded natively in the customer's Snowflake instance.

That places the customer's data in their own environment and region by construction, a stronger residency position than naming regions and well beyond shared multi-tenant software as a service. The Rox application layer itself runs on AWS.

Sourceaws.amazon.com/marketplace/pp/prodview-hzr2usullmhoaread 2026-09-01

The free tier ships ready to use capabilities named AI account research, AI sales strategy, AI contact dossier, AI chat, personalized AI sequences and custom deliverables. A customer gets working agent output without configuring anything. Aomni names no browsable library of prebuilt agents, template gallery or importable starting configurations. Its customization centers on reps building research workflows to match their own playbook.

Sourceaomni.com/pricing and aomni.comread 2026-09-01

A named set of prebuilt agents each has its own documentation page and job. They are the Research, Outreach, Deal, Meet, Autofill and Apps agents, beside custom agents a team builds.

Sourcedocs.rox.com/llms.txtread 2026-10-01

The platform incorporates large language models from third parties, named as Google, Microsoft and Anthropic, and shares data with these models through their APIs for the tasks the customer instructs. Aomni names no model selector, no model choice for each agent or workflow, no bring your own key option and no routing policy the customer configures.

Sourceaomni.com/privacy-policyread 2026-09-01

Rox's agents run on Amazon Bedrock, the infrastructure the platform is built on, not a choice offered to the customer, in the same way a cloud provider on a subprocessor list is infrastructure, not a second model. There is no model selector, per-agent choice, bring-your-own-key or routing policy, and no provider or model is offered for the customer to pick. Rox does not publish which models its agents use on Bedrock.

Sourceaws.amazon.com/blogs/machine-learning/rox-accelerates-sales-productivity-with-ai-agents-powered-by-amazon-bedrockread 2026-09-01

One outbound surface ships today. The Webhook integration is Available and sends real time data to the customer's applications when specific events occur. HTTP API and MCP are marked Coming Soon, so outside software cannot call the platform yet.

Sourceaomni.com/landing/integrationsread 2026-09-01

An outside system can start a Rox agent through the On webhook call trigger, which custom agents take for events that start outside Rox. There is no API reference, keys page, SDK or MCP server, so the webhook trigger is the only way in.

Sourcedocs.rox.com/development/product/custom-agents/agent-triggers.mdread 2026-10-01

Customers get no named way to test, debug or optimize the agents. Aomni names no evaluation surface, scored run, A/B or sequence performance comparison, testing harness for prompts or playbooks, or quality measurement of research output. It claims roughly three hours saved per prospect and a 40 percent lift in close rate.

Sourceaomni.com and aomni.com/pricingread 2026-09-01

A customer runs a test of a custom agent before switching it on and reviews outputs on the Runs page afterwards, which is inspection, not a scored check. Rox's own developers run an Agent Evaluation System, with labeled datasets, accuracy metrics and LLM as a judge rubrics, on Rox's agents. There is no harness, scored test case or release gate a customer runs on its own agents.

Sourcedocs.rox.com/development/product/custom-agents/activate-monitor-and-review-outputs.mdread 2026-10-01

A built in capability, Aomni Web Scraping, gathers intelligence from public sources, alongside Aomni Deep Research and the Exa search API, so the agent reaches pages it has no interface to. The mechanism is scraping, not browser operation. Aomni names no hosted or local browser the platform drives itself, no desktop session and no remote computer control.

Sourceaomni.com/landing/integrationsread 2026-09-01

Rox takes no action on an interface it does not control. Its agents create personalized emails and LinkedIn posts, which is generating content for a person to send or publish, not the agent operating LinkedIn. Everything else runs over programmatic routes, a knowledge graph built by warehouse sharing, connectors to CRM, support and finance systems, and delivery through web, Slack, macOS and iOS clients. There is no hosted or local browser, desktop session, remote computer control, scraping or third-party browser engine.

Sourcemarketplace.microsoft.com/en-us/product/rox-com.rox-enterprise-revenue-ai-agentsread 2026-09-01