Actively AI vs Aomni (2026)

Actively reads and writes across the revenue stack through secure subprocessors that connect to Salesforce and other sales tools. It draws on CRM records, custom Salesforce fields, call transcripts, notes and the web, and pushes prioritized accounts and drafted outreach back into the systems reps use. The API Platform embeds agent work into any tool, workflow or internal application.

Sourceactively.ai/products/api-platform and actively.ai/securityread 2026-08-30

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

Every account gets its own long running agent that works 24/7/365 across the full prospect and customer lifecycle. Each agent chains account research, prioritization, meeting preparation, risk surfacing and outreach drafting. The agents run at the same time across SDR, AE, AM and leadership functions instead of as one sequential pipeline.

Sourceactively.airead 2026-08-30

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

Agents monitor signals continuously and run 24/7/365, and Watchtower surfaces pipeline risks and opportunities before anyone looks for them. Work arrives in Agent Inbox and, through the MCP server, in the AI tools reps already use. Drafted outreach goes out by email.

Sourceactively.ai/products/watchtower and products/mcp-serverread 2026-08-30

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

A custom reasoning model is trained for each customer on that company's own business, products and GTM strategy. The agent for each account combines CRM records, custom Salesforce fields, call transcripts, notes and the web into a maintained profile of the account, covering needs, decision makers and likely buying criteria across the entire TAM.

Sourceactively.ai and Series A launch postread 2026-08-30

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

Each account has its own long running agent that holds its context, and Actively says the agents maintain persistent memory. Memory is scoped to the account and written by the agents. The API Platform gives the customer direct access to each account agent's memory, decisions and strategy, so the memory can be read. Actively does not say how long memory lasts or how to purge or delete it.

Sourceactively.ai/products/mcp-serverread 2026-10-01

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

Agent Inbox is where finished agent work lands, prioritized and prepared for a person to act on. Actively presents the product as guiding the team on what to do next and helping them do it, not as acting unattended. Drafted outreach waits for the rep to send it.

Sourceactively.ai/products/agent-inbox and actively.airead 2026-08-30

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

Actively holds a SOC 2 Type II report covering the Security trust services category, audited annually and available on request. It complies with GDPR, with a DPA for EU customers, and with CCPA. Data is encrypted with AES-256 at rest in Google BigQuery and with TLS in transit, servers are hardened, infrastructure changes are tracked, and a vulnerability disclosure policy is published. There is no SSO, SAML, RBAC, customer facing audit log or retention setting.

Sourceactively.ai/securityread 2026-08-30

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

Agent Inbox shows finished agent work, prioritized and prepared, and Watchtower surfaces pipeline risks and growth opportunities before anyone looks for them. Together they show what the agents produced and how the pipeline is moving. There is no trace of each agent's steps and no audit trail showing why an agent reached a conclusion.

Sourceactively.ai/products/watchtower and products/agent-inboxread 2026-08-30

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

The product is delivered as a cloud platform, with all customer data hosted in Google Cloud facilities and stored in Google BigQuery. Customers cannot choose a region, and there is no VPC, on premises or self hosted option.

Sourceactively.ai/securityread 2026-08-30

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

The Per-Account Agent is one core building block, set up for every account, with configurations for CRO, AE, SDR, sales leader and internal AI team roles and published workflow examples. Forward deployed engineers custom train the model for each customer, and Actively ships no library of prebuilt agents or installable templates.

Sourceactively.airead 2026-08-30

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

Actively trains its own custom reasoning model for each customer and calls this its core differentiator. It names no model provider and describes no routing between models, and neither customers nor admins can select a model. The MCP server connects the customer's chosen assistant to Actively, but the model powering Actively is not the customer's choice.

Sourceactively.airead 2026-08-30

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

Two named products open Actively to outside use. The Actively API gives teams direct access to each account agent's memory, decisions and strategy, to embed in CRM views, Slack alerts, dashboards or custom applications. Actively MCP connects Per-Account Agents to Claude, ChatGPT and Cowork. Neither product has a published reference, developer portal or way to get access, since both lead to a demo or a solutions architect, and no developer docs are published. The MCP endpoint, authentication, tool list and core object tools are not published.

Sourceactively.ai/products/api-platformread 2026-10-01

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

The agents maintain reasoning loops that Actively says improve over time after deployment, but it does not say what feeds them, what they tune or how a change is measured. Actively's own team benchmarks the agents against a customer's top sellers, reports revenue lift and tunes them through forward deployed engineers. Customers get no testing, evaluation, simulation or regression tools of their own.

Sourceactively.ai/products/mcp-serverread 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

Agents gather signals from the web and act through API integrations into CRM and sales tooling. They do not operate third party software through a browser or computer interface.

Sourceactively.airead 2026-08-30

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