Aomni
The research half of an AI SDR, done properly and sold on its own
Aomni is an AI research agent for sellers that assembles more than a thousand data points on a target account through waterfall enrichment across twenty-plus sources, identifies the stakeholders who matter, produces account plans, value propositions, and stakeholder-specific pitch material, and generates one-to-one outreach sequences from that research; it syncs to Salesforce, HubSpot, and Pipedrive, has a free Starter tier, and charges $300 per month for Pro covering three team members.
Overview
Aomni was founded by David Zhang in San Francisco and raised a $4M seed round led by Decibel with Sancus Ventures and the Ride Home Fund participating. Its stated premise is a well-documented complaint: sellers spend only thirty to forty percent of their time actually talking to customers, with the rest consumed by CRM hygiene, list building, and account research. Aomni's answer is not to automate the selling; it is to automate the research so a human can do more of the selling.
That makes it an unusual entry in the AI SDR category, and it is worth being precise about why. Most tools here are a research step bolted to a sending engine, and their weakness is almost always the research. Aomni is the research step sold on its own, with sequence generation attached rather than a sending platform underneath. It has no mailbox provisioning, no warmup, no deliverability layer, and no volume story. If you want an agent that mails five thousand people a month, this is the wrong product.
What it does instead is go deep on one account. Waterfall enrichment aggregates across more than twenty sources with one click, including built-in web scraping, Aomni's own deep research, Ocean.io, Exa, CrustData, and Fullenrich, and the output is an account plan rather than a contact list: stakeholder map, value proposition tailored to what the company actually does, and material a seller can use in a real conversation. Named customers skew large, with WWT, AMD, Oracle, NVIDIA, Altium, ATTOM, and Furiosa cited by the vendor.
The pricing is honest and self-serve, which is why it belongs in a small-business database despite the enterprise logo wall. Starter is free with basic research, strategy, chat, and deliverables. Pro is $300 a month for up to three team members with unlimited insights and account research plus email and LinkedIn integration, and extra seats cost $100 a month. Enterprise adds CRM integration, bulk research, onboarding, and priority support behind a demo. Be aware that the vendor's claimed forty percent improvement in close rates is a marketing number with no published methodology, and should carry no weight in your decision.
Best for
Founders and sellers working a small list of high-value named accounts, where a two-hour research pass per company is the actual bottleneck and each deal is worth more than the entire annual subscription.
Not the right fit for
- Anyone doing volume outbound: there is no sending infrastructure, no warmup, and no deliverability layer, and the economics only work when accounts are few and valuable.
- Teams with low deal values, since $300 a month buys deep research on a handful of accounts rather than a pipeline of hundreds.
- Buyers who want an autonomous agent that books meetings; Aomni researches and drafts, and a human does everything after that.
- Small businesses whose sales motion is transactional and self-serve, where account plans and stakeholder maps are ceremony rather than value.
- Anyone who needs CRM sync on a budget, because CRM integration and bulk research sit on the demo-gated Enterprise tier.
How it works
- 1
You point Aomni at a target account. The agent runs waterfall enrichment across more than twenty sources, including its own web scraping and deep research plus third-party providers such as Ocean.io, Exa, CrustData, and Fullenrich, assembling what the vendor describes as over a thousand data points per account.
- 2
It then produces strategy rather than data: what the company does, where your product fits, which stakeholders matter, and what each of them is likely to care about. This is the part that would otherwise take a seller a couple of hours per account, and it is the reason to buy the product.
- 3
From that research the agent drafts one-to-one outreach and account materials, tailored per stakeholder rather than per persona template. Sending happens through your own Gmail or Outlook and LinkedIn accounts on the Pro plan; Aomni does not provide sending infrastructure or run warmup, so cold volume is neither supported nor sensible here.
- 4
Research workflows are configurable, so a team can encode its own qualification playbook into what the agent looks for on every account. Results sync to Salesforce, HubSpot, or Pipedrive on the appropriate tiers, which is how the research gets in front of a rep who lives in the CRM rather than in yet another tool.
Feature breakdown
23 features in 5 modulesAccount research
The core product, and the best-executed research layer in this batch.- Thousand-plus data points per account
- The agent assembles a large structured picture of a target company rather than returning a firmographic record with a few enriched fields.
- Waterfall enrichment across 20-plus sources
- Sources include built-in web scraping, Aomni's own deep research, Ocean.io, Exa, CrustData, and Fullenrich, with fallbacks rather than a single provider that either has the answer or does not.
- Aomni Deep Research
- An in-house research pass that reads the open web when structured databases have nothing useful to say about a company.
- Stakeholder identification
- Decision-makers and influencers inside the target organization are mapped, which is the part of enterprise selling that databases usually get wrong.
- Custom research workflows
- Teams can encode their own qualification playbook into what the agent investigates on every account, rather than accepting a fixed research template.
- Bulk research on Enterprise
- Running research across many accounts at once is reserved for the top tier, which caps how far the free and Pro plans scale.
Strategy and deliverables
Turning research into something a seller can use in a conversation.- Account plans
- The output is a plan, not a data dump: what to sell, to whom, and on what grounds, which is what a good AE builds by hand for a strategic account.
- Tailored value propositions
- Positioning is written against what the target company actually does rather than against a generic industry persona.
- Stakeholder-specific pitch material
- Each stakeholder gets material framed for their function, so the CFO conversation and the engineering conversation are not the same deck.
- Customizable deliverables
- Available even on the free Starter tier, so the shape of the output can match how your team already runs account reviews.
- AI chat over account context
- Ask questions about a researched account conversationally rather than rereading the full brief, included on the free tier.
Outreach
Sequence generation, deliberately without a sending platform underneath.- One-to-one personalized sequences
- Sequences are drafted per contact from the account research rather than assembled from templates with merge fields.
- Email and LinkedIn integration on Pro
- Outreach goes through your own Gmail or Outlook and LinkedIn accounts; the Pro plan is where these connections unlock.
- No sending infrastructure by design
- There are no vendor mailboxes, no domain provisioning, and no warmup. This is a coherent choice for account-based selling and a hard limit for anyone wanting volume.
- Meeting and call preparation
- The same research that produced the outreach also prepares the seller for the conversation that follows.
Integrations and workflow
Getting research to where reps actually work.- Salesforce, HubSpot, and Pipedrive sync
- CRM integration is listed as an Enterprise capability, so budget accordingly if the CRM record is where your team lives.
- Gmail and Outlook connections
- Mail runs on your own accounts, which means no warmup wait and no vendor-owned sending reputation.
- LinkedIn connection
- Social touches use your own account, with the usual caveat that automation volume risk sits with you.
- Calendar integration
- Meetings and prep material connect to the calendar so a brief is available before the call rather than after it.
Plans and access
Free to start, $300 to use properly, demo-gated to scale.- Free Starter tier
- Basic AI research, strategy, chat, and customizable deliverables with no commitment and self-serve signup, which is a real evaluation rather than a teaser.
- Pro with unlimited research
- $300 a month removes usage limits on insights and account research for up to three team members, which is the model that suits account-based work.
- Per-seat expansion
- Additional seats beyond the first three cost $100 a month each, so a six-person team is roughly $600 a month.
- Enterprise onboarding and support
- Dedicated onboarding, priority support, bulk research, and annual pricing sit behind a sales conversation.
Use cases
4 documentedFounder selling six-figure deals to enterprise buyers
Each target account needs a couple of hours of research before a credible first conversation, and the founder is trying to run twenty of those alongside building the product.
Aomni produces the account plan, stakeholder map, and tailored positioning per company, turning two hours of research into fifteen minutes of review. At $300 a month against a six-figure deal the arithmetic barely needs checking.
Two-AE team without an SDR or a rev-ops function
Nobody prepares accounts systematically, so calls start with discovery questions that a web search could have answered, which wastes the buyer's patience.
Pro at $300 covers both AEs plus a manager, every account arrives with a brief, and first calls start from a position of having done the homework.
Consultant or agency pitching a small number of named clients
Winning work depends on showing specific understanding of the client's business in the first email, and generic outreach is instantly discarded.
One-to-one sequences generated from deep research read as though a partner wrote them after studying the company, because functionally that is what happened.
Sales manager standardizing account preparation
Every rep researches differently, quality varies wildly, and there is no shared definition of what a prepared account looks like.
Custom research workflows encode the team's qualification playbook so every account gets the same investigation, with deliverables shaped to how the team runs its pipeline reviews.
Pricing
from $0 (Starter), then $300 per month (Pro)Freemium with a flat Pro subscription covering three members plus per-seat expansion. Enterprise is quoted after a demo.
| Plan | Price | Includes |
|---|---|---|
| Starter | $0 per month |
Genuinely usable for evaluating research quality on a handful of accounts before paying anything. |
| Pro | $300 per month, up to 3 team members |
A flat fee for three people rather than a per-seat charge from the first user, which suits a small AE team. |
| Enterprise | Custom quoted, annual pricing available |
Demo-gated. CRM sync living up here is the main reason a growing team outgrows Pro. |
Add-ons
- Additional Pro seats ($100 per user per month): Applies beyond the three members included in Pro.
Billing notes
- Pro is a flat $300 a month for three members rather than a per-seat price, which is unusually favorable for a two or three person sales team.
- Seats beyond three cost $100 a month each, so a six-person team runs about $600 a month.
- CRM integration and bulk research are Enterprise features, so a Pro customer is copying research into the CRM manually or living inside Aomni.
- Annual pricing is available on Enterprise only; Pro is quoted monthly.
- Nothing in the price covers sending infrastructure, mailboxes, or warmup, because the product deliberately does not send at volume.
- The free tier has no published expiry, making it the cheapest way in this category to test research quality against your own accounts.
Value assessment: Aomni is priced per unit of thinking, not per unit of volume, and that is the correct way to judge it. At $300 a month for three people, it costs less than a day of an AE's fully loaded time and replaces the two-hour research pass that would otherwise precede every serious account. For a team selling deals worth five figures or more, that is trivially good value. For a team selling $200 a month subscriptions to thousands of small businesses, it is an expensive way to write emails, because there is no sending engine and no volume mechanism to amortize the cost. The dividing line is deal size, and it is unusually sharp.
Strengths & limitations
Strengths
- The best research layer in this batch: waterfall enrichment across twenty-plus sources with its own deep-research pass rather than a single database lookup.
- Output is strategy rather than data, with account plans, stakeholder maps, and value propositions a seller can actually use in a conversation.
- A free tier with real capability makes it the cheapest way in the category to test whether AI research meets your standard.
- Pro at $300 covers three people flat, which beats per-seat pricing for a small AE team and includes unlimited research.
- Custom research workflows let a team encode its own qualification playbook rather than accepting the vendor's template.
- Named enterprise customers including AMD, Oracle, NVIDIA, and WWT suggest the research output survives contact with demanding sellers.
- The honest scope, research and drafting with no autonomy claim, is refreshing in a category that mostly oversells.
Limitations
- No sending infrastructure, no warmup, and no deliverability tooling, so this cannot be your outbound engine.
- CRM integration sits on the demo-gated Enterprise tier, which is a significant gap for a $300 a month product.
- Bulk research is Enterprise-only, so the self-serve plans are account-by-account by design.
- The vendor's claims of saving three hours per prospect and improving close rates by forty percent are marketing figures with no published methodology.
- Deal-size sensitivity is extreme: below roughly five-figure deal values the economics stop making sense quickly.
- The company is small, with a $4M seed and an enterprise-heavy customer list, so a self-serve small business is not the center of its commercial attention.
- There is no meeting-booking or reply-handling layer, so everything after the first draft is human work.
Head-to-head comparisons
4 alternativesAomni vs Humanlinker
from EUR 69 per month (Pro, 1 to 5 users)Both sell research rather than sending. Humanlinker spreads wider and cheaper, covering five users for EUR 69 a month with personality profiling and multichannel campaigns; Aomni goes far deeper on individual accounts for $300. Choose Humanlinker for a steady flow of mid-market prospects; choose Aomni when twenty named accounts decide your year.
Full Aomni vs Humanlinker comparisonAomni vs Floqer
from $0 (Free), then $49 per month for 2,000 creditsFloqer gives you a programmable enrichment and workflow engine metered in credits, so you build the research process yourself. Aomni ships an opinionated research agent that already knows what an account plan should contain. Pick Floqer if you have someone who wants to build GTM pipelines; pick Aomni if you want the research done without building anything.
Full Aomni vs Floqer comparisonAomni vs Regie.ai
from $0 (Free), then $49 per month (Pro)Regie is a full prospecting workspace at $49 a month with sourcing, sequencing, a dialer, and signals, aimed at pipeline volume. Aomni does none of that and instead goes deep on the accounts you have already chosen. A team running hundreds of prospects a month wants Regie; a team running twenty strategic accounts wants Aomni, and some teams reasonably run both.
Full Aomni vs Regie.ai comparisonAomni vs Clay
from Free plan; paid from $149/moClay is the power tool for GTM data: waterfall enrichment, tables, and automation you assemble yourself, with real depth and a real learning curve. Aomni delivers a narrower slice of that value with no assembly required and an account-planning output Clay does not attempt. Buy Clay if you have a rev-ops brain on the team; buy Aomni if you do not and the research still has to happen.
Full Aomni vs Clay comparisonImplementation & onboarding
- Setup time
- Minutes on the free tier: point it at an account and read what comes back. Pro adds mailbox and LinkedIn connections, which take an afternoon. There is no warmup phase because there is no cold-sending infrastructure.
- Learning curve
- Low to start, moderate to get full value. The default research output is immediately useful; building custom research workflows that encode your qualification criteria is where the product becomes genuinely differentiated, and that takes deliberate effort.
- Onboarding
- Self-serve on Starter and Pro with no sales contact. Dedicated onboarding and priority support are Enterprise features, alongside CRM integration and bulk research.
- Migration notes
- There is little to migrate: Aomni sits alongside your CRM and your existing sending tools rather than replacing them. On Pro, moving research into the CRM is manual because CRM sync is an Enterprise feature, which is the friction point to plan around. Leaving costs nothing in deliverability terms because sending runs on your own accounts.
Platform, API & security
- Platforms
- Web applicationGmail and Outlook connectionsLinkedInCalendar integrations
- API
- No prominently published public API on the self-serve plans; CRM integration is an Enterprise capability.
- Compliance
- Not publicly detailed on the marketing site; enterprise customers are served through the Enterprise tier
- Data residency
- Not published.
- SSO
- Not advertised on published plans.
- Security notes
- The research agent reads public web sources and third-party enrichment providers, so the sensitive surface is mainly the mailbox and CRM connections you grant. Buyers in regulated industries should raise compliance questions directly, since the public site does not answer them.
Support & resources
- Channels
- Email and in-app supportPriority support and dedicated onboarding on Enterprise
- Documentation
- Product documentation and a blog covering account research method and agent reliability, with the founder publishing technical commentary on agent orchestration.
- Community
- No large public user community; visibility comes through enterprise customers and founder writing.
Company
- Founded
- 2023
- Headquarters
- San Francisco, California, United States
- Ownership
- Venture-backed
- Founders
- David Zhang
- Employees
- Small team, not publicly disclosed
- Funding
- $4M seed round led by Decibel, with Sancus Ventures and the Ride Home Fund participating.
Funding history
| Round | Amount | Year | Notes |
|---|---|---|---|
| Seed | $4M | 2024 | Led by Decibel with Sancus Ventures and the Ride Home Fund. |
Timeline
- 2023Founded in San Francisco by David Zhang around the premise that sellers lose most of their week to research and CRM work rather than to selling.
- 2024Raises a $4M seed round led by Decibel with Sancus Ventures and the Ride Home Fund participating.
- 2024Builds out waterfall enrichment across more than twenty sources, combining in-house web scraping and deep research with Ocean.io, Exa, CrustData, and Fullenrich.
- 2025Adds custom research workflows so teams can encode their own qualification playbooks, alongside account plans and stakeholder-specific deliverables.
- 2026Runs a free Starter tier plus Pro at $300 a month for three members, with CRM integration, bulk research, and onboarding reserved for Enterprise.
Integrations
- Salesforce (Enterprise)
- HubSpot (Enterprise)
- Pipedrive (Enterprise)
- Gmail and Google Calendar
- Microsoft Outlook
- Ocean.io, Exa, CrustData, and Fullenrich as enrichment sources
Frequently asked questions
10 questionsWhat is Aomni?
Aomni is an AI research agent for sales teams. It assembles more than a thousand data points on a target account through waterfall enrichment across twenty-plus sources, maps the stakeholders, and produces account plans, tailored value propositions, and one-to-one outreach drafted from that research. It is the research half of an AI SDR sold on its own.
How much does Aomni cost?
Starter is free and includes basic research, strategy, chat, and customizable deliverables. Pro is $300 a month for up to three team members with unlimited insights and account research plus email and LinkedIn integration, and extra seats are $100 a month each. Enterprise is custom-quoted and adds CRM integration, bulk research, onboarding, and priority support.
Does Aomni send emails at scale?
No, and that is deliberate. There are no vendor mailboxes, no domain provisioning, and no warmup. Outreach is drafted from the research and sent through your own Gmail, Outlook, or LinkedIn accounts on the Pro plan. If your plan is thousands of cold emails a month, this is the wrong tool and you need a sending platform instead.
Where does Aomni's data come from?
Waterfall enrichment across more than twenty sources, including Aomni's own web scraping and deep research pass plus third parties such as Ocean.io, Exa, CrustData, and Fullenrich. The waterfall matters: when one source has nothing on a company, another is tried, which is why coverage on smaller or unusual companies holds up better than a single-database lookup.
Who should not buy Aomni?
Anyone selling low-value deals in volume. The product is priced per unit of research quality, not per unit of sending, so it makes sense when each account is worth five figures or more and a two-hour research pass is the real bottleneck. For transactional or self-serve sales motions it is expensive ceremony.
Is the CRM integration included?
Not on the self-serve plans. Salesforce, HubSpot, and Pipedrive sync are listed as Enterprise features, so Pro customers at $300 a month are either working inside Aomni or copying research into the CRM by hand. For a team whose life happens in the CRM record, this is the most likely reason to need a quote.
How much human work remains?
Everything after the draft. Aomni researches, plans, and writes; a person sends, replies, runs the call, and closes. There is no meeting-booking layer and no reply handling. That is a narrower claim than most competitors make and it is the honest description of what this product is.
Should I believe the claim of forty percent better close rates?
No, or at least not as evidence. The vendor publishes claims of saving three hours of research per prospect and improving close rates by forty percent, with no published methodology, sample, or control. The three-hour figure is at least plausible against how long manual account research takes; the close-rate claim is unfalsifiable marketing.
Who funds Aomni and who uses it?
It raised a $4M seed led by Decibel with Sancus Ventures and the Ride Home Fund, and is based in San Francisco. The named customer list skews large, including WWT, AMD, Oracle, NVIDIA, Altium, ATTOM, and Furiosa, which is a useful quality signal and also a reminder that a self-serve small business is not the center of the company's commercial attention.
Can I try it before paying?
Yes. The free Starter tier is self-serve with no credit card and no stated expiry, and it includes real research, strategy output, chat, and customizable deliverables. Run it against three accounts you already know well: if the output tells you something you did not know, the Pro plan will pay for itself; if it does not, you have learned that for free.
Editorial verdict
Aomni is the most intellectually honest product in this category because it refuses the part everyone else oversells. There is no autonomous digital rep here, no sending engine, and no meeting-booking claim. There is a research agent that does two hours of account preparation in a few minutes, across a waterfall of twenty-plus sources, and turns it into an account plan a seller can use in a real conversation. For a founder or a small AE team working named accounts worth five figures and up, $300 a month for three seats is close to a rounding error against the time it returns, and the free tier makes the decision empirical rather than theoretical. Two things to check before buying: CRM sync is an Enterprise feature, so at Pro the research may live outside the system your team works in, and the economics collapse if your deals are small. Ignore the forty percent close-rate claim entirely and judge it on three accounts you already know well.
Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.