Openmart

Name: Openmart
Brand: Openmart
Price: 0149105 USD

The AI prospecting layer for selling to local businesses, not to SaaS companies

Openmart is an AI lead intelligence and outreach platform aimed at companies that sell to local and small businesses rather than to technology firms: it maintains a database of tens of millions of verified local business records across 500-plus categories, uses an AI agent to score and rank them against your ideal customer profile, enriches decision-maker emails and phone numbers on a credit meter, and runs built-in multi-step email sequences with AI-drafted messages, all self-serve from a free tier and $149 a month.

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Overview

Almost every tool in the AI SDR category assumes you are selling software to people who have LinkedIn profiles. Openmart assumes the opposite. It was built for companies selling to plumbers, restaurants, dentists, clinics, gyms, and retail operators, where the buyer has no LinkedIn activity to personalize from, no company blog, and no funding announcement, but does have a Google Maps listing, public reviews, a phone number, and an owner whose name is findable. That single positioning decision is what makes it worth a separate entry rather than being another Apollo clone.

The company came out of Y Combinator's Winter 2024 batch, founded in 2023 by Richard He and Kathryn Wu, both former Pinterest engineers, with He having previously worked on machine learning at Cruise and as a founding engineer at Graft. It raised a seed round in 2024 with participation from Y Combinator, Afore Capital, and Gaingels. The named customer list skews larger than the price point suggests, including JLL, DoorDash, Alibaba, and Whatnot, which reflects that big companies with local-market operations have the same data problem small ones do.

Functionally it does three things: find, qualify, and contact. Search filters run across category, geography, employee count, revenue estimate, and tech stack, with data refreshed from Google Maps and other public sources. An AI agent then scores each result against dimensions such as ICP fit, intent, revenue potential, and technical readiness, and ranks the list so a small team knows where to start. Built-in multi-step email sequencing with AI-drafted messages that reference specific data points completes the loop, and a CSV export or API path exists for teams that would rather send from elsewhere.

Pricing is credit-metered and, unusually for this category, the credit costs are published per field type: a business email costs 0.3 credits, an owner email costs 3, and an owner phone number costs 8. That transparency is welcome and it also tells you exactly where the money goes. If your motion depends on reaching owners directly by phone, your effective cost per contact is roughly twenty-five times the cost of a generic business email, and the 5,000 credits on the $149 Starter tier will disappear far faster than the headline number implies. Model your own field mix before choosing a plan.

Best for

Companies selling products or services to local and small businesses, including payments, point of sale, franchise supply, insurance, staffing, and field services, who need to find and qualify thousands of operators that conventional B2B databases cover badly.

Not the right fit for

Companies selling to technology and enterprise buyers, where Apollo, Clay, or Amplemarket have far better coverage and Openmart's local business focus is simply the wrong dataset.
Anyone whose motion depends on reaching business owners by phone at volume, since owner phone numbers cost 8 credits each and will exhaust a Starter plan's 5,000 credits within a few hundred contacts.
Teams that need multichannel outreach; the built-in sequencing is email only, so LinkedIn and calling require exporting to other tools.
Buyers expecting an autonomous agent that qualifies replies and books meetings; the AI does scoring and drafting, and a human still owns every conversation after the first message.
Businesses selling outside the covered markets; coverage is described across North America, Europe, and parts of APAC, so verify your specific geography before committing.

How it works

1
You define the target by category and geography rather than by firmographic abstractions: plumbers within forty miles of a metro, independent pharmacies in three states, gyms above a certain employee count. The filter set includes employee size, revenue estimate, and detected tech stack, which lets you separate a single-location operator from a small chain.
2
The AI qualification agent then scores and ranks the results against your ideal customer profile, tagging records on dimensions the vendor describes as ICP fit, intent, revenue potential, and technical readiness. For a two-person team facing forty thousand matching businesses, the ranking is the actual product: it decides which two hundred you call this week.
3
Enrichment happens on demand and consumes credits by field type. A business email is cheap at 0.3 credits, an owner email costs 3, and an owner phone number costs 8, so the shape of your motion determines your burn rate far more than the number of businesses you look at.
4
Outreach runs inside the platform. Multi-step email sequences send with AI-drafted messages that cite specific data points from the record, which for local businesses usually means something concrete like category, location, or public review content rather than the LinkedIn-derived personalization the rest of this category depends on. Replies are handled by a human, and anything beyond email means exporting to your own tools.

Feature breakdown

25 features in 5 modules

Local business data

The asset the whole product rests on, and the reason it exists separately from Apollo.

Tens of millions of verified local business records: The vendor cites more than 50 million verified local businesses, a dataset shape that general B2B providers cover thinly because these companies have almost no digital B2B footprint.
More than 500 business categories: Category granularity down to specific trades and services rather than broad SIC-style buckets, which is what makes local targeting workable.
Forty-plus verified fields per record: Beyond name and address: owner names, contact details, social profiles, revenue estimates, and detected technology.
Google Maps and public source refresh: Records are refreshed from live public sources including Google Maps, which matters more for local businesses than for software companies because they open, close, and move constantly.
Monthly updates across sixteen markets: Coverage spans North America, Europe, and parts of APAC, refreshed monthly rather than sitting as a static purchased file.
Tech stack detection: Detecting what a local business already runs, such as a point of sale or booking system, is the closest thing this segment has to an intent signal.

AI qualification

Scoring and ranking, which is the part that actually saves a small team time.

Automated fit scoring: The AI agent evaluates each record against your ideal customer profile and assigns a fit score rather than leaving you to filter by hand.
Multi-dimensional ranking: Records are tagged on dimensions the vendor describes as high intent, strong ICP fit, revenue potential, and technical readiness, so the ordering reflects more than one axis.
Prioritized worklists: Results come back ranked, which converts an unusable list of forty thousand matches into a defensible list of the two hundred worth contacting this week.
Custom qualification criteria: The scoring is driven by your stated profile rather than a fixed vendor-defined grade, so a payments company and a staffing agency get different orderings from the same universe.

Enrichment and credits

Priced per field, transparently, which is rarer than it should be.

Business email at 0.3 credits: The cheap field, and the one most volume email motions should be built around.
Owner email at 3 credits: Ten times the cost of a generic business email, which is the right premium given how much better an owner-addressed email performs in this segment.
Owner phone at 8 credits: The expensive field by a wide margin. A calling motion is roughly twenty-five times more credit-intensive per contact than a business email motion, and plans should be sized accordingly.
Published per-field credit costs: Openmart publishes what each field type costs rather than hiding it behind an opaque credit, which lets you model spend before you buy.
Decision-maker identification: Finding who actually owns a single-location business is the hard part of this segment, and it is the enrichment the platform charges most for.

Outreach

Built in, email only, and enough to run a motion without a second vendor.

Multi-step email sequencing: Campaigns run inside Openmart rather than requiring export to Instantly or Smartlead, which keeps a small stack small.
AI-drafted personalized emails: Messages reference specific data points from the record, which for a local business means category, location, or public presence rather than the LinkedIn-derived angles used elsewhere in this category.
CSV export: Results and enrichment leave as a file for teams that prefer to send from an existing platform they have already tuned for deliverability.
API access: Programmatic access for teams pulling Openmart data into their own systems rather than working in the dashboard.
Clay compatibility: Openmart data can feed a Clay workflow, positioning it as a specialist source inside a broader enrichment stack rather than a closed system.

Plans and access

Self-serve up to a real working tier, with a free plan that is more than a demo.

Free plan with 5,000 viewable leads: You can view and save up to five thousand leads and explore the full database without paying, which is enough to verify coverage in your specific category and geography before committing.
Free trial without a credit card: Evaluation costs nothing and requires no sales conversation, which is not the norm in this category.
Team seats on Pro: Up to three seats at the $299 tier, which fits the size of team that typically runs a local-business motion.
Account limits per tier: A 20,000 account limit on Starter and 70,000 on Pro sit alongside the credit allowance, so both list size and enrichment volume are constrained and both should be checked against your plan.
Roughly thirty percent off annual: Starter drops from $149 to about $105 a month and Pro from $299 to about $209 when billed annually.

Use cases

4 documented

Payments or point-of-sale company selling to independent retailers

The target market is tens of thousands of single-location shops that no conventional B2B database covers usefully, and the current process is a rep working through Google Maps by hand.

Category and geography filters produce the universe, the AI scoring ranks it by fit and detected tech stack, and built-in sequences reach the top slice while the rep spends their time calling rather than researching.

Staffing agency targeting clinics and care providers

Decision-makers are practice owners who do not use LinkedIn, so every personalization tool in the category returns nothing usable.

Owner identification and enrichment supply a name and a direct email, and the AI drafting references concrete details from the record rather than inventing a professional-social angle that does not exist.

Franchise supplier expanding into new metros

Entering a new region means understanding how many qualifying operators exist there before committing a rep to it.

The free tier's five thousand viewable leads answers the market-sizing question at no cost, and only the metros that pass the test consume credits.

Two-person sales team drowning in an unranked list

Forty thousand businesses match the filters and there is no basis for deciding which to contact, so the team works alphabetically and gives up.

Fit scoring collapses the list into a prioritized worklist, which is the single highest-value thing an AI can do for a small team selling into a fragmented market.

Pricing

from $0 free plan, then $149 per month (Starter), or about $105 per month billed annually

Freemium with credit-metered enrichment; monthly tiers set the credit allowance, the account limit, and the seat count, with credits consumed at published per-field rates.

Plan	Price	Includes
Free	$0 per month	Access to the full local business database View and save up to 5,000 leads No credit card required Useful for market sizing rather than only as a demo Genuinely usable for validating whether your category and geography are well covered, which is the question that should decide the purchase.
Starter	$149 per month, or about $105 per month billed annually	5,000 credits per month 20,000 account limit Decision-maker contact enrichment Built-in email sequencing 5,000 credits is roughly 16,000 business emails or only about 625 owner phone numbers. Your field mix, not the plan name, decides whether this is enough.
Pro	$299 per month, or about $209 per month billed annually	10,000 credits per month 70,000 account limit Up to 3 team seats Full enrichment and outreach features The seat allowance is the practical reason to upgrade as much as the credits.
Enterprise	Custom contact sales	Custom credit and account limits Advanced integrations Dedicated support The only tier that requires a conversation; everything below it is self-serve.

Billing notes

Credits are consumed at published per-field rates: 0.3 for a business email, 3 for an owner email, and 8 for an owner phone number, so identical plans support wildly different contact volumes depending on your motion.
A calling motion is roughly twenty-five times more credit-intensive per contact than a business email motion. Model the mix before choosing a tier.
Account limits sit alongside credit allowances as a second constraint: 20,000 accounts on Starter and 70,000 on Pro, which can bind first if you work large geographies.
Annual billing takes roughly thirty percent off both paid tiers, dropping Starter to about $105 a month and Pro to about $209.
Sending is included, but if you export to your own sequencer instead you still need domains, mailboxes, and warmup, which are not part of any tier.

Value assessment: For a company selling to local businesses, Openmart is the rare tool priced at small-business level for a dataset that genuinely is hard to assemble yourself. At $149 with 5,000 credits, a business-email motion reaches many thousands of operators for a fraction of what a general B2B data subscription plus a personalization tool plus a sequencer would cost, and the built-in outreach removes an entire vendor from the stack. The value collapses in two situations: if you sell to technology companies, where the dataset is simply the wrong one, and if you sell by phone, where the 8-credit owner phone rate turns a cheap-looking plan into an expensive one. The free tier makes both of those failure modes cheap to discover.

Strengths & limitations

Strengths

The only tool in this category built around local and small business data, a segment general B2B providers cover badly and where personalization tools return nothing.
AI fit scoring and ranking is the right application of AI for this segment, because the problem is triage across tens of thousands of near-identical businesses rather than clever copy.
Published per-field credit costs let you model spend before you buy, which almost nobody else in the category does.
Built-in multi-step email sequencing means a small team can run the whole motion without adding a separate sending platform.
The free tier is substantive enough to answer the only question that matters, whether your category and geography are covered, before any money changes hands.
Credible backing and technical pedigree: Y Combinator Winter 2024, founders from Pinterest, Cruise, and Graft, with seed funding from Afore Capital and Gaingels.
Named customers including JLL, DoorDash, Alibaba, and Whatnot suggest the data holds up under scrutiny from buyers with alternatives.

Limitations

Wrong dataset entirely for technology and enterprise selling, where Apollo, Clay, and Amplemarket are not close competitors so much as different tools for a different job.
Owner phone numbers at 8 credits make calling motions expensive in a way the headline pricing does not signal.
Outreach is email only, so LinkedIn and dialer motions require exporting to other tools and reassembling the workflow.
The AI stops at scoring and drafting: there is no reply qualification, no objection handling, and no meeting booking, so a human owns every conversation past the first touch.
Two separate ceilings, credits and account limits, mean plan sizing is less obvious than a single number would suggest.
Coverage is strongest in North America and thinner elsewhere despite sixteen stated markets, so non-US buyers should verify their geography on the free tier first.
The company is young, founded in 2023 with a seed round, in a segment where data quality claims are easy to make and hard to independently audit.

Head-to-head comparisons

6 alternatives

Openmart vs Leadspicker

from $199 per month (Explorer)

Both combine data with outreach, but for different worlds. Leadspicker is a European-built B2B lead intelligence platform with email and LinkedIn seats and AI agents, from $199 a month, aimed at conventional B2B selling. Openmart is aimed at local and SMB targets where LinkedIn is irrelevant. Choose by who you sell to, not by feature list: the datasets barely overlap.

Full Openmart vs Leadspicker comparison

Openmart vs Apollo.io

from Free plan; paid from $49/user/mo

Apollo is the general-purpose B2B database with vastly more contacts, a mature sequencer, and a dialer, and it is cheaper per seat. It is also weak precisely where Openmart is strong, on independent local operators with no B2B digital footprint. If you sell to companies that appear in Apollo, use Apollo. If your prospects are single-location businesses, Apollo will return a fraction of the universe and Openmart will return most of it.

Full Openmart vs Apollo.io comparison

Openmart vs Clay

from Free plan; paid from $149/mo

Complementary rather than competing, and Openmart says so by supporting Clay compatibility. Clay is the orchestration layer that waterfalls across many data providers and applies arbitrary logic; Openmart is a specialist source for a segment Clay's usual providers cover badly. A sophisticated team runs Openmart inside Clay. A small team runs Openmart alone and saves the learning curve.

Full Openmart vs Clay comparison

Openmart vs Warmer.ai

from $79 per month for 750 credits

Warmer personalizes from LinkedIn profiles, which is exactly the data local business owners do not have, so it is largely inapplicable to Openmart's segment. Openmart's AI drafting works from record attributes instead. The comparison is instructive rather than practical: it shows how much of this category quietly assumes a LinkedIn-native buyer.

Full Openmart vs Warmer.ai comparison

Openmart vs Bardeen

from $0 with 100 free credits a month, then $10 per month (Basic)

Bardeen is a GTM automation platform where you build the sourcing and qualification workflow yourself from browser scraping and agents, at $10 to $50 a month. Openmart hands you a maintained dataset and a scoring model for $149. Bardeen is cheaper and infinitely more flexible; Openmart is the answer if you would rather not maintain a scraper against Google Maps forever.

Full Openmart vs Bardeen comparison

Openmart vs AiSDR

from $250 per month (Solo, 200 contacts)

AiSDR bundles domains, mailboxes, warmup, research, sending, and reply handling from $250 a month with quarterly prepayment on the useful tiers, targeted at conventional B2B. Openmart costs less, is fully self-serve including a free tier, and owns the data problem rather than the infrastructure problem. If your buyers are local operators, AiSDR's research layer has little to work with and Openmart is the better bet.

Full Openmart vs AiSDR comparison

Implementation & onboarding

Setup time: A morning. Define categories and geography, describe your ideal customer profile so scoring has something to work against, and run a search. If you use the built-in sequencer you also need to connect sending accounts, which adds the usual domain and warmup wait.
Learning curve: Low. The filters are concrete rather than abstract, which is a relief after firmographic B2B tools, and the ranked output is immediately actionable. The only real skill is learning to describe your ideal customer precisely enough that the scoring is useful rather than decorative.
Onboarding: Self-serve through the Pro tier, with a free plan and a no-card trial for evaluation. Only Enterprise requires a sales conversation. Support scales with plan, with dedicated support reserved for Enterprise.
Migration notes: Data exports as CSV and an API exists, so records you have already paid to enrich can be moved out. If you use the built-in sequencer, sequences do not travel, and any sending reputation you built on connected accounts stays with those accounts rather than with Openmart, which is the correct arrangement.

Platform, API & security

Platforms: Web application
API: API access is offered for programmatic search and enrichment, and Openmart data can be used inside Clay workflows.
Compliance: No prominently published SOC 2 or ISO certification on the product site
Data residency: Not disclosed; coverage spans North America, Europe, and parts of APAC but hosting regions are not advertised.
SSO: Not advertised on the self-serve tiers; likely an Enterprise conversation.
Security notes: The dataset is assembled from public sources including Google Maps, so the data-protection questions are mainly about how you use owner contact details rather than about how Openmart stores yours. Local business owner emails and phone numbers are frequently personal contact details in practice, which makes consent and suppression handling your legal responsibility under GDPR and equivalent regimes.

Support & resources

Channels: Email supportDedicated support on Enterprise
Documentation: Product documentation covering search, enrichment, credits, and sequencing, with the per-field credit costs published rather than buried.
Community: No large public user community; visibility comes mainly through Y Combinator channels and the local-business GTM niche.

Company

Founded: 2023
Headquarters: San Francisco, California, United States
Ownership: Venture-backed
Founders: Richard He, Kathryn Wu
Employees: Not disclosed; small team
Funding: Seed funding raised in 2024 with participation from Y Combinator, Afore Capital, and Gaingels, following the Winter 2024 Y Combinator batch.

Funding history

Round	Amount	Year	Notes
Y Combinator	Standard YC investment	2024	Winter 2024 batch.
Seed	Approximately $3M	2024	Participation from Y Combinator, Afore Capital, and Gaingels.

Timeline

2023Founded by Richard He and Kathryn Wu, both former Pinterest engineers, to solve prospecting into local and small businesses that conventional B2B databases cover badly.
2024Goes through Y Combinator's Winter 2024 batch and raises seed funding with Afore Capital and Gaingels participating.
2024Expands the database past 50 million verified local business records across more than 500 categories, refreshed from Google Maps and other public sources.
2025Adds AI fit scoring and ranking plus built-in multi-step email sequencing, turning a data product into a full find, qualify, and contact motion.
2026Sells self-serve from a substantive free tier through $149 Starter and $299 Pro plans, with credit costs published per field type.

Integrations

CSV export
API access for search and enrichment
Clay
Built-in email sending through connected accounts
CRM connections on higher tiers

Frequently asked questions

10 questions

What is Openmart?

Openmart is an AI lead intelligence and outreach platform for selling to local and small businesses. It holds a database of more than 50 million verified local business records across 500-plus categories, scores and ranks them against your ideal customer profile with an AI agent, enriches decision-maker contact details on a credit meter, and runs built-in multi-step email sequences.

How much does Openmart cost?

There is a free plan that lets you view and save up to 5,000 leads with full database access. Starter is $149 a month for 5,000 credits and a 20,000 account limit, and Pro is $299 for 10,000 credits, a 70,000 account limit, and up to three seats. Annual billing takes roughly thirty percent off. Enterprise is custom and is the only tier requiring a sales conversation.

How do credits work and what do they really cost?

Credits are consumed by field type, and Openmart publishes the rates: a business email costs 0.3 credits, an owner email costs 3, and an owner phone number costs 8. So 5,000 credits buys roughly 16,000 business emails or only about 625 owner phone numbers. If your motion is phone-first, size the plan against phone credits rather than the headline figure.

Does Openmart send emails or just find leads?

Both. It includes built-in multi-step email sequencing with AI-drafted messages that reference specific data points from each record, so a small team can run the whole motion in one tool. You can also export to CSV or use the API and send from a platform you have already tuned for deliverability.

Who is Openmart wrong for?

Anyone selling to technology companies or enterprises. The dataset is deliberately local and SMB, so a B2B SaaS company prospecting other SaaS companies will find far better coverage in Apollo, Clay, or Amplemarket. Openmart is worth its price only if your buyers are the kind of businesses those tools cover badly.

Does it include mailboxes, domains, or warmup?

No. Sending runs through accounts you connect, so domains, inboxes, and warmup remain your cost and your responsibility. Budget the usual $20 to $60 a month on top, and treat the first few weeks on any new domain as warmup rather than as campaign results.

How autonomous is the AI?

Less than the category's language implies, and honestly so. The AI scores and ranks prospects and drafts emails. It does not qualify replies, handle objections, or book meetings. Every conversation past the first message is human work, which for local business selling is exactly where the deal is actually made.

How good is the data?

Records come from public sources including Google Maps with monthly refresh across sixteen markets and forty-plus fields per record, and the customer list includes JLL, DoorDash, Alibaba, and Whatnot, which is meaningful because those buyers have alternatives. That said, no independent audit exists, coverage is strongest in North America, and the free tier is there precisely so you can check your own category and geography before paying.

Are there legal considerations when emailing local business owners?

Yes, and more than in conventional B2B. Owner emails and phone numbers for single-location businesses are frequently personal contact details in practice, which brings consent, suppression, and opt-out handling squarely into scope under GDPR and equivalent regimes. That responsibility sits with you as the sender, not with the data provider.

Who founded Openmart and is it well backed?

It was founded in 2023 by Richard He and Kathryn Wu, both former Pinterest engineers, with He having also worked on machine learning at Cruise and as a founding engineer at Graft. The company went through Y Combinator's Winter 2024 batch and raised seed funding with Afore Capital and Gaingels participating. It is young but credibly backed.

Editorial verdict

Openmart is the tool to reach for when your buyers are plumbers and pharmacies rather than product managers, and that positioning is worth more than any feature on the list. The dataset covers a segment general B2B providers handle badly, the AI is pointed at the right problem, which is triage across tens of thousands of near-identical operators rather than clever prose, and the built-in sequencer removes a vendor from the stack. Use the free tier first and use it specifically to check coverage in your own category and geography, because that is the question that decides everything. Then model your credit burn honestly: business emails are cheap at 0.3 credits and owner phone numbers are not at 8, and a calling motion costs many times what the plan implies. Expect scoring and drafting from the AI, not conversation. For local-market selling this is one of the best-value tools in the category; for anyone selling software to software companies it is simply the wrong shop.

Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.