Aomni

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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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