Aomni
AI agent for B2B sales intelligence that researches accounts and generates personalised outreach.
Aomni is an AI platform built for B2B revenue teams whose work depends on deep account knowledge, the account executives, business developers, and strategic sellers who pursue enterprise and mid-market deals. Its premise is that reps lose hours to manual research and still walk into conversations underprepared, so Aomni uses AI agents to do that research autonomously and turn it into account intelligence, personalized outreach, and call preparation.
At the center is autonomous account research. Given a target company, Aomni's agents search the web and pull together a large set of data points from many sources, company sites, news, market reports, and social, then synthesize them into a clear picture of the account: its business priorities, market positioning, recent developments, and likely pain points. It identifies the decision-makers and internal champions worth knowing, builds detailed profiles, and uses waterfall enrichment that checks many contact-data sources at once to surface accurate contact information.
What distinguishes Aomni from a generic assistant is that the agent is trained on your own business, your products, value propositions, ideal customer profile, and selling methodology, so its output is framed for how you actually sell. From the research it generates tailored value propositions for each stakeholder, drafts targeted one-to-one email and LinkedIn sequences, and prepares reps with talking points before a call, helping them be consultative and credible rather than generic. Teams can also build flexible research workflows that mirror their own sales playbook rather than a fixed template.
Beyond individual reps, Aomni is positioned to align sales, marketing, and customer success around consistent account strategies and to scale account-based efforts without sacrificing quality, which is why it tends to fit teams running complex, high-context deals rather than high-volume cold blasting. It connects to existing CRM and sales tooling so research and account plans live alongside the rest of the workflow, and it emphasizes secure handling of the company data its agents are trained on. In short, Aomni concentrates on the intelligence and preparation around outreach, the part that makes each touch land, rather than only automating the sending.
Vendor details
Canonical URL
https://www.aomni.com
Category
GTM / revenue agent
Funding status
San Francisco based, founded 2023, $4M seed led by Decibel. Announced on the vendor's own site via a linked Decibel investment post.
Company status
independent
Use cases & customers
Target customers
Deployment options
Integrations
Thirteen available third-party integrations across CRM (HubSpot, Salesforce, Pipedrive), mail (Gmail, Outlook, SMTP), calendar (Google, Outlook), social (LinkedIn), research (Ocean.io, Exa) and enrichment (CrustData, Fullenrich), plus built-in web scraping, deep research and call recording, and an outbound webhook. HTTP API, MCP and Postgres are listed as Coming Soon.
In practice
You spend hours researching each enterprise account and still feel underprepared. Aomni's agents pull together account intelligence from many sources, surface decision-makers and contact data, and prepare talking points before your call.
Your outreach reads generic because there's no time to tailor it per stakeholder. Aomni is trained on your product and ICP, so it turns deep account research into personalized one-to-one email and LinkedIn messages.
You're running complex, high-context deals, not high-volume blasting. Aomni focuses on the research and preparation around outreach, aligning sales, marketing, and success on a consistent account strategy.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
5.5 / 14 capabilities · 39%
| Integrations & Tool Calling | Partial |
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A short fixed list of connectors with no way to add your own, which is the published Partial marker for this axis. The vendor's integrations catalogue enumerates thirteen available third-party connections and closes there: CRM (HubSpot, Salesforce, Pipedrive), mail (Gmail, Outlook, SMTP), calendar (Google, Outlook), social (LinkedIn), research (Ocean.io, Exa) and enrichment (CrustData, Fullenrich), plus built-in web scraping, deep research and call recording. Nothing on the page offers a custom connector, a generic HTTP action, or any user-defined tool a customer could wire up themselves, so a buyer whose tooling is not among the thirteen has no documented route. The threshold clause is met on the connectors that do exist, since CRM sync and sequencing write into outside systems, but the fixed catalogue holds this at Partial. Sourceaomni.com/landing/integrationsread 2026-09-01 |
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| Workflow Orchestration | Partial |
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A linear chain with no documented error path, which is the published Partial case. The product runs a fixed three-stage sequence of research, strategise 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, but parallelism is throughput rather than control flow. What the Full bar asks for is not documented anywhere on the product pages or pricing tiers: no branching or conditional logic, no retry or error handling, and no routing of work between steps or agents. Customers are said to build research workflows matching their own playbook, but no workflow builder surface, step reference or condition syntax was reached on either pass. Corrected from an initial grade of Full, which credited the pipeline without testing it against the control-flow bar. Sourceaomni.com and aomni.com/pricingread 2026-09-01 |
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| Knowledge Grounding & RAG | Full |
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Grounding on the customer's own material is one of four headline capabilities: the vendor states the AI is trained on your company data for tailored insights and that the agent is built to understand your ICP, differentiators and market landscape, with a configurable playbook carrying value propositions and selling methodology so output is framed the way the customer sells. On the external side, research spans more than twenty sources and over a thousand data points per account, with Exa and Ocean.io as named retrieval connectors and built-in deep research. Confidence medium rather than high: this rests on product-page description, and no documented knowledge-base surface, ingestion interface or retrieval configuration was reached. Sourceaomni.com and aomni.com/landing/integrationsread 2026-09-01 |
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| Human Oversight & Guardrails | Unable to verify |
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No shipped approval or guardrail mechanism is documented. The agent researches and drafts, and the rep works from the output, but that is the default operating mode rather than a gate the vendor ships: no per-action approval step, no send-approval queue on the email and LinkedIn sequences, no permission scoping on agent actions and no configurable runtime guardrail was reached across the marketing site, integrations catalogue, pricing tiers or legal pages. The abuse guardrails referenced in the commercial terms govern fair usage of the service, not agent behaviour. Graded as not documented as first-class rather than left unspecified, since both passes reached first-party material. Sourceaomni.com, aomni.com/pricing and aomni.com/termsread 2026-09-01 |
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| Security, Identity & Governance | Partial |
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This is the published Partial case almost exactly: a SOC 2 badge with nothing documented about who inside the buyer's organization can make an agent do what. The vendor states it is SOC 2 Type II compliant, with a footer badge linking to a live compliance portal at app.delve.co, and the privacy policy adds that reasonable security measures are implemented. None of the four controls the Full bar asks for is published: no named access model, no SSO or SAML, no audit surface, and no compliance page beyond the badge and the portal link. The only customer-operated control reached is self-service deletion of account data on request. Resolves an Unspecified cell that the April build left ungraded. Sourceaomni.com footer, app.delve.co/aomni and aomni.com/privacy-policyread 2026-09-01 |
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| Observability & Auditability | Unable to verify |
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No observability or audit surface is documented. Two passes reaching first-party material covered the marketing site and its four capability sections, the integrations catalogue, the pricing tiers and both legal pages; none describes run traces, execution logs, an activity or audit trail, or any record of what an agent retrieved and why it reached a conclusion. The nearest is a notification feed of new deals and events, which is product output rather than a record of agent behaviour, and account research briefs, which are the artefact rather than the trace. Graded as not documented as first-class rather than left unspecified, since both passes reached the vendor and found nothing. Sourceaomni.com, aomni.com/landing/integrations and aomni.com/pricingread 2026-09-01 |
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| Memory & State Persistence | Partial |
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Account intelligence persists between sessions and is addressable by account: research briefs, stakeholder profiles and account plans are stored per company and returned to rather than regenerated each time, and shared team account intelligence on the Enterprise tier makes that state readable across sales, marketing and customer success. What holds this below Full is that the persistent layer is authored or produced artefact rather than agent-written memory: the playbook carrying ICP, value propositions and differentiators is customer configuration, which is excluded from this axis, and no accumulation across runs, correction retained between sessions, or memory the agent writes to and reads back is documented. Sourceaomni.com and aomni.com/pricingread 2026-09-01 |
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| Deployment & Data Residency | Unable to verify |
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Cloud-only with no customer control over data location. The privacy policy documents no region selection, no residency commitment, no sub-processor list and no disclosure, offering only that personal information is stored for a period consistent with business purposes, and the sole customer-side control is deletion on request by email. No self-hosted, on-premises, VPC or private-tenancy option appears on the marketing site, the integrations catalogue or any pricing tier including Enterprise, whose differentiators are bulk research, CRM sync, annual pricing and onboarding. Confidence raised from the April grade because the absence is now visible in the vendor's own legal text rather than inferred. Sourceaomni.com/privacy-policy and aomni.com/pricingread 2026-09-01 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Ready-to-use capabilities ship on the free tier and are named as such: AI account research, AI sales strategy, AI contact dossier, AI chat, personalized AI sequences and custom deliverables, so a customer gets working agent output without configuring anything. What was not reached is a catalogue: no browsable library of prebuilt agents, no template gallery and no importable starting configurations appear on the marketing site, the integrations page or the pricing tiers, and the customisation the vendor emphasises runs the other way, with reps building research workflows to match their own playbook. Partial: packaged capability without adoptable packaged assets. Downgraded from an April Full that carried no vendor evidence. Sourceaomni.com/pricing and aomni.comread 2026-09-01 |
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| Triggers & Channel Coverage | Partial |
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The agent is started by a person prompting it. The documented entry point is signing in and supplying a target company name or URL, and no schedule, webhook, inbound message, CRM update, inbox rule or monitoring alert is documented as starting a run. 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 is documented as invoking the agent. On the channel side the user meets the agent in the vendor's own console only: email and LinkedIn carry outbound sequences to prospects, which is the agent acting on an outside system rather than a channel where it meets the buyer, and the outbound webhook pushes data to the customer's applications rather than accepting work in. That is the published Partial marker, one surface with no event triggers. Sourceaomni.com and aomni.com/landing/integrationsread 2026-09-01 |
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| Model Flexibility & Routing | Partial |
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The privacy policy states that the platform incorporates large language models provided by third parties, naming Google, Microsoft and Anthropic, and that data is shared with these models through their APIs for the tasks the customer instructs. Three providers named explicitly as model providers rather than as infrastructure suppliers, which clears the Partial floor. What is absent is the other half: no model selector, no per-agent or per-workflow model choice, no bring-your-own-key and no routing policy the customer configures is documented anywhere on the marketing site, integrations catalogue or pricing tiers. Provider plurality without customer selection is Partial, not Full. Upgraded from an April grade that carried no vendor evidence. Sourceaomni.com/privacy-policyread 2026-09-01 |
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| APIs, SDKs & MCP Extensibility | Partial |
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One outbound extensibility surface is shipped: the integrations catalogue lists Webhook as Available, described as sending real-time data to the customer's applications when specific events occur. The inbound half is explicitly unshipped on the same page, where HTTP API and MCP are both marked Coming Soon, so the platform is not callable from outside today. This corrects a third-party claim: several review sites report API access on the Enterprise tier, but the vendor's own integrations page is the better source and states the API is not yet available. Partial on the shipped webhook, held below Full under the standing rule that Full requires the platform to be callable from outside through a documented API or SDK, and under roadmap-is-not-shipped. Sourceaomni.com/landing/integrationsread 2026-09-01 |
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| Testing, Debugging & Optimization | Unable to verify |
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Nothing the customer can test, debug or optimise is documented. No evaluation surface, scored run, A/B or sequence performance comparison, prompt or playbook testing harness, or quality measurement of research output was reached on either pass. The vendor publishes outcome claims of roughly three hours saved per prospect and a 40 percent close-rate lift, but these are marketing assertions about the product rather than a measurement the customer runs, and are excluded under the convention that Eval grades what the customer can test rather than what the vendor reports. Graded as not documented as first-class rather than left unspecified. Sourceaomni.com and aomni.com/pricingread 2026-09-01 |
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| Browser & Computer Use | Partial |
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The vendor's integrations catalogue lists Aomni Web Scraping as a built-in capability gathering intelligence from public sources, alongside Aomni Deep Research and the Exa search API, so the agent reaches pages it has no interface to. Web scraping is the published Partial case for this axis. The Full case is not documented: no hosted or local browser the platform drives itself, no desktop session and no remote computer control appears on any product page, and the vendor describes the mechanism as scraping rather than browser operation. Recorded because the surrounding sources disagree with the vendor: an internal pricing dossier and several directory listings describe research running in real browser sessions on Browserbase and Playwright, which would be the Full case, but no first-party page makes that claim and directory listings are not evidence of capability. Corrected from an initial grade of none, which read scraping as zero. Sourceaomni.com/landing/integrationsread 2026-09-01 |
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The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
From $300/mo · up to 3 seats · free tier
seats
Included quota
Starter (free): AI account research, AI sales strategy, AI contact dossier, AI chat, personalized AI sequences, custom deliverables. Pro ($300/mo, up to 3 seats): everything in Starter + unlimited account research, unlimited AI sequences, email + LinkedIn integrations, email + CRM integrations; +$100/seat beyond 3. Enterprise (custom): everything in Pro + bulk/parallel account research, Salesforce/HubSpot CRM integration, annual pricing, tailored onboarding, priority support, shared team account intelligence.
What is public
Aomni (aomni.com - AI account-research / sales-intelligence agent that compiles 1,000+ data points per account from 20+ sources via real-time browser sessions) has three tiers. Starter: free (AI account research, sales strategy, contact dossier, AI chat, personalized sequences, custom deliverables - no card). Pro: $300/mo for up to 3 seats (+$100/seat beyond), adding unlimited research/sequences and email + LinkedIn + CRM integrations. Enterprise: custom (bulk parallel research, Salesforce/HubSpot CRM sync, annual pricing, onboarding, priority support). Note: Aomni is a research agent, NOT a contact database - you need a separate email/phone enrichment layer.
Billing mechanics
Seat-based with a 3-seat Pro floor: $300/mo covers up to 3 seats, then $100/seat/month for additional users. Starter is free; Enterprise is custom-quoted (annual pricing, bulk research, CRM integration). There's no per-account or usage meter on the published tiers - Pro is flat unlimited research/sequences within the seat count. Pricing beyond Pro is quote-based with no public seat sticker for larger teams.
Cost watchouts
Aomni has NO contact database - no verified emails, phone numbers, or dialer (it's a research analyst, not a data provider), so you must budget a separate enrichment/email-finder layer; per-account research only pays off on five-figure-plus deals (overkill/shelf-ware for transactional SMB sales); research is AI-generated from public sources and can be stale - fact-check time-sensitive details; team pricing beyond Pro is quote-based (no public sticker)
Variable cost rationale
Largely fixed/seat-based - Pro is flat ($300 for 3 seats, +$100/seat) with unlimited research/sequences, so cost scales with headcount not usage; the real variable cost lives OUTSIDE Aomni (the separate contact-data/enrichment layer you must add)
Additional watchouts
Not a contact-data tool - pair it with a verified email/phone layer or the research has 'nowhere to go'; only justified on high-ACV strategic deals (skip if ACV <$25k); reps must actually USE the briefings or it's shelf-ware; AI research from public sources needs fact-checking; thin third-party review presence and quote-based team pricing make diligence harder
Overage / add-ons
No usage overage on Pro (unlimited research/sequences within your seat count); scaling means adding seats ($100/seat/mo beyond the included 3) or moving to Enterprise for bulk research + CRM sync. All plans include abuse guardrails for fair AI usage.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free
Lowest paid plan
$300/mo
Commercial notes
SF-based, founded 2023, $4M seed; positions as a premium 'GTM agent army' for complex/considered B2B sales (mid-market + enterprise, five-figure+ deals); claims ~3 hours saved per account and up to 40% close-rate lift; used by Oracle, NVIDIA, Stravito; uniquely does real-time web research (no static database) - the inverse of contact-data tools; competes/complements with Clay ($149-$800/mo enrichment), Apollo, and contact-data providers (which it does NOT replace)
Key ambiguities
Pricing transparency is the top complaint - the trail is messy (older $49/$99/$199 tiers from 2023, a transitional ~$200 Pro figure in some sources, now $300/mo for 3 seats); no G2/Capterra profile (results for 'Aumni'/'Omni' are unrelated products); Enterprise is fully custom; the exact line between Pro and Enterprise feature gating (CRM depth, bulk research) varies by source
Cancellation / refund
Starter is free (no card); Pro is self-serve monthly ($300 for 3 seats, +$100/seat); Enterprise is custom-contracted with annual pricing and tailored onboarding; request a demo before committing to Enterprise
Support SLA / resale
Standard support (Starter/Pro); Enterprise adds priority support and tailored onboarding; CRM integrations (Salesforce/HubSpot) on Pro/Enterprise; email + LinkedIn integrations on Pro; shared account intelligence across sales/marketing/CS on Pro/Enterprise; research runs on real-time browser sessions (Browserbase + Playwright) across 20+ sources
Missing data
Team pricing beyond Pro is quote-based (no public seat sticker); a transitional ~$200 Pro figure appears in some sources (current is $300/mo for 3 seats); no G2/Capterra presence for verification. Seed 'Starter Free; Pro $300/mo (3 seats, +$100/seat); Enterprise custom' is accurate and current.
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Alternatives to Aomni
The closest documented capability profiles to Aomni among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Floworks5.0 / 14Adds documented Observability & Auditability
- AnyBiz4.0 / 14Fuller documented coverage on Triggers & Channel Coverage
- Sympera AI5.0 / 14Adds documented Deployment & Data Residency
- BambooBox5.5 / 14Fuller documented coverage on Workflow Orchestration and Prebuilt Agents, Templates & Packs
- Closely6.5 / 14Adds documented Human Oversight & Guardrails and Observability & Auditability, among others
- Propel AI2.5 / 14A lighter documented profile than Aomni
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded