Floqer
Build the agent yourself, pay by the credit, keep the seats free
Floqer is an AI-native customer data engine for go-to-market teams that combines waterfall enrichment across more than 100 sources, AI web research agents that investigate what databases cannot answer, tracking of 80-plus buying signals, self-healing contact records, and automated workflows that route, notify, and trigger campaigns; it is metered in credits with a free plan, self-serve tiers from $49 per month, and unlimited seats on every plan.
Overview
Floqer is the odd entry in an AI SDR category otherwise full of packaged agents. It does not sell you a digital rep with a name and a personality. It sells the substrate underneath one: enrichment, signals, research agents, and workflows that you assemble into whatever motion your business needs. The vendor does describe Claude-powered agents that automate go-to-market tasks, from building event lists to reading GitHub repositories to pulling unstructured data out of SEC filings, but the agents are components rather than a product persona.
The company was incorporated in October 2024 by Shivam Mahajan, previously a senior software engineer at Kyndryl, and Zaaheda Islam, previously a senior data scientist at Axis Capital, both Dalhousie University graduates. It closed just over $2M CAD in pre-seed funding via SAFE in September 2025, revealed publicly in mid-2026, with Perplexity's F7 Fund investing alongside Toronto's N49P and Halifax's Tidal Venture Partners. Perplexity is also a customer, as are Wise, Pulumi, and AngelList. By its own account it passed 1,000 customers and $1M in revenue with an eight-person team while leaving most of the capital untouched, which is a healthier trajectory than most companies in this space can claim.
The pricing structure is the most small-business-friendly in this batch, and for an unusual reason: seats are always free. Every plan, including the free one, includes unlimited team members, so you are only ever buying usage. The free tier gives 100 credits with no card. Self-serve plans run from $49 a month for 2,000 credits up to $999 a month for 80,000 credits, with 10 percent off annual billing, and credits roll over for twelve months rather than evaporating at each reset, which is rare enough to matter.
Be clear about what you are buying, though. This is a build-it-yourself platform, closer in spirit to Clay than to an AI SDR service, and it has no sending infrastructure, no warmup, and no mailbox provisioning. Its published target is enterprise and mid-market revenue teams, and its customer logos reflect that. A small business gets in cheaply and gets real capability, but only if someone on the team enjoys assembling workflows. If nobody does, the credits will sit unused.
Best for
Small go-to-market teams with someone technical enough to enjoy building workflows, who want enrichment, research agents, and signal-triggered automation without per-seat pricing and without committing to a packaged AI SDR's opinion about how outbound should work.
Not the right fit for
- Teams who want a packaged agent that just runs; Floqer supplies parts and expects you to assemble the motion.
- Anyone who needs sending infrastructure, since there is no mailbox provisioning, no warmup, and no deliverability layer anywhere in the product.
- Businesses without a technically curious person on staff, because unused credits are the most likely outcome of buying this without an internal builder.
- Buyers who want a mature vendor relationship: the company was incorporated in 2024, has eight people, and is early even by the standards of this category.
- Small businesses whose GTM data problem is small; below a few hundred accounts, manual research is cheaper than learning a workflow engine.
How it works
- 1
You start with data. Waterfall enrichment runs across more than 100 sources so a lookup that fails at one provider falls through to the next, with built-in email and phone verification rather than a separate validation vendor.
- 2
Where databases have nothing, AI web research agents go and read. This is the part that separates Floqer from a conventional enrichment tool: the agents can build event attendee lists, analyze GitHub repositories, or extract unstructured financial data from SEC filings, which are questions no contact database can answer.
- 3
Signals sit on top. Floqer tracks more than 80 buying signals including funding rounds, hiring activity, website visits, and intent data, combines multiple triggers, and scores them against ICP fit, while self-healing records catch job changes and dead contacts as they happen rather than at the next quarterly cleanup.
- 4
Then you act. Workflows range from one-click actions surfaced to a rep and context-aware notifications in Slack or in-app, through to fully automated motions covering signup routing and campaign triggering. Every action shows its exact credit cost before you run it, which makes the meter unusually legible. Sending itself happens through whatever campaign tool you already use, because Floqer does not run email infrastructure.
Feature breakdown
26 features in 5 modulesData and enrichment
Waterfall coverage with verification built in.- Waterfall enrichment across 100-plus sources
- A failed lookup falls through to the next provider rather than returning empty, which is the single biggest determinant of usable coverage.
- Built-in email verification
- Addresses are validated inside the platform, removing a separate verification subscription from the stack.
- Phone verification
- Mobile numbers are checked as part of enrichment rather than exported hopefully into a dialer.
- Self-healing records
- Job changes and dead contacts are caught in real time so lists decay more slowly, which is the quiet difference between a CRM that works and one nobody trusts.
- Large tables
- Self-serve plans support tables up to 500,000 rows, with 5 million on Enterprise, so datasets do not have to be split across tools.
- Chrome extension
- Enrichment and capture from the browser, included on self-serve plans rather than reserved for higher tiers.
AI research agents
Where the product earns the AI label honestly.- Web research agents
- Agents investigate questions that no structured database answers, reading the open web and returning a structured result into your table.
- Event list building
- A cited example: agents assemble attendee or exhibitor lists from conference pages, a task that otherwise costs a person a day.
- Repository and technical analysis
- Agents can analyze GitHub repositories, which matters for developer-tool companies qualifying accounts on technical adoption rather than firmographics.
- Unstructured document extraction
- Pulling financial detail out of SEC filings is a published use case, which is a meaningfully harder task than contact enrichment.
- Claude-powered agent runs
- The agent layer runs on Claude, and each agent run consumes credits at a cost shown before execution.
Signals and scoring
Deciding which accounts deserve attention this week.- 80-plus buying signals
- Funding, hiring, website visits, and intent data among others, which is a broader signal set than most packaged AI SDRs track.
- Combined triggers
- Multiple signals can be combined into one condition rather than firing separately, which cuts the false-positive rate that makes signal tools annoying.
- ICP fit scoring
- Signals are scored against fit so a funding round at an irrelevant company does not generate work.
- Website visitor signals
- Visit activity feeds the same scoring engine as external signals, joining inbound interest to outbound prioritization.
- Real-time detection
- Signals surface as they happen rather than in a weekly digest, which is the difference between a timely message and a late one.
Workflows and action
Turning data and signals into something happening.- One-click rep workflows
- Prepared actions are surfaced to a rep so the workflow does not require the rep to think about the plumbing.
- Context-aware notifications
- Alerts route into Slack or in-app with the account context attached rather than as a bare notification.
- Fully automated motions
- Signup routing and campaign triggering can run unattended, which is where the platform functions closest to an AI SDR.
- Unlimited workflows and apps
- Workflow count is not metered on paid tiers; only credit consumption is, so experimentation is free until it runs.
- Credit cost preview
- The exact credit cost of every action is shown before you run it, which is the most user-respecting metering design in this batch.
Plans, seats, and governance
Unlimited seats, rolling credits, and a real enterprise tier.- Unlimited seats on every plan
- Including the free plan. You buy usage, never access, which inverts how nearly every competitor prices.
- Credits that roll over for 12 months
- Unused credits persist rather than expiring at each reset, so seasonal or lumpy usage is not punished.
- CRM integrations
- Salesforce, HubSpot, and ten or more other systems connect on self-serve plans rather than requiring an enterprise contract.
- APIs and orchestration
- Programmatic access is available on paid self-serve plans, so Floqer can sit inside a larger automated pipeline.
- Enterprise security and residency
- SSO, SAML, RBAC, SOC 2 Type 2, GDPR, custom data residency, and a VPC option are available on the Enterprise tier.
Use cases
4 documentedDeveloper-tools founder qualifying on technical signals
Firmographics say nothing useful: what matters is whether a company uses a particular framework, and no contact database has that field.
Web research agents analyze repositories and public technical footprints, write the result into the table, and signal-scored accounts route to a campaign. This is a job no packaged AI SDR can do.
Small team with more people than budget
Five people would each need a seat on a conventional GTM tool, which triples the cost of a workflow that only two of them run daily.
Unlimited seats on every plan mean the $49 tier covers the whole team, and the only variable is how many credits the workflows consume.
Rev-ops person cleaning a decaying database
The CRM is full of people who left their jobs eighteen months ago, and every campaign bounces enough to threaten domain reputation.
Self-healing records catch job changes and dead contacts continuously, and built-in verification stops bad addresses before they reach the sending tool.
Founder chasing event-driven pipeline
Two conferences a year produce most of the year's opportunities, and building the attendee list by hand takes a week that nobody has.
A research agent assembles the list from public event pages, enrichment fills in verified contacts, and a workflow routes them into the existing campaign tool with the event as context.
Pricing
from $0 (Free), then $49 per month for 2,000 creditsCredit-metered subscription with unlimited seats on every plan. Free and self-serve tiers are self-serve; Enterprise is quoted.
| Plan | Price | Includes |
|---|---|---|
| Free | $0 one-time 100 credits |
100 credits is enough to test the mechanics, not to run a campaign. |
| Self-serve | $49 to $999 per month, by credit volume |
10 percent off annual billing. The credit ladder is continuous, so you pick the volume rather than a named plan. |
| Enterprise | Custom annual billing, custom credit allocation |
|
Billing notes
- Seats are unlimited on every plan including free, so team size never affects the bill; only credit consumption does.
- Credits roll over for twelve months rather than resetting monthly, which is materially fairer than the reset-and-forfeit model most competitors use.
- Every action displays its exact credit cost before you run it, so runaway spend is a choice rather than a surprise.
- Annual billing saves 10 percent, which is a smaller discount than the 20 percent typical in this category.
- No sending infrastructure is included, so email volume still requires a separate campaign platform and its own deliverability budget.
- The free plan's 100 credits are one-time rather than monthly, making it an evaluation allowance rather than a permanent free tier.
Value assessment: Floqer is the best credit-per-dollar story in this batch for a team willing to build, largely because of two structural choices: unlimited seats and twelve-month credit rollover. A five-person team on the $49 plan pays less than one seat costs at most competitors, and unused capacity is not confiscated at month end. The value evaporates if nobody builds anything, which is the honest risk with any assembly-required platform, and the total cost of an actual outbound motion still includes a sending tool Floqer does not sell. Judge it as infrastructure priced generously, not as a packaged agent priced cheaply.
Strengths & limitations
Strengths
- Unlimited seats on every plan including free, which inverts the per-seat pricing that makes most GTM tooling expensive for small teams.
- Credits roll over for twelve months instead of expiring at each reset, so lumpy or seasonal usage is not penalized.
- Every action shows its exact credit cost before running, which is the most transparent metering design among the tools reviewed here.
- AI web research agents genuinely answer questions no contact database can, including repository analysis, event list building, and extraction from filings.
- Waterfall enrichment across more than 100 sources with built-in email and phone verification removes two separate subscriptions from a typical stack.
- More than 80 buying signals with combined triggers and ICP scoring is a broader signal layer than most packaged AI SDRs offer.
- Customer list including Perplexity, Wise, Pulumi, and AngelList, with Perplexity's F7 Fund also an investor, suggests the product survives technical scrutiny.
- Roughly 1,000 customers and $1M in revenue on an eight-person team with most of the raise untouched, which is a capital-efficient trajectory.
Limitations
- It is assembly required: there is no packaged agent, so buying it without someone who enjoys building workflows means paying for unused credits.
- No sending infrastructure, no warmup, and no mailbox provisioning, so an outbound motion still needs a separate campaign platform.
- Published positioning targets enterprise and mid-market revenue teams, so small-business needs are not the design center even though the pricing suits them.
- The free plan's 100 credits are one-time, which is enough to test mechanics and not enough to test outcomes.
- The company was incorporated in October 2024 with eight people, making it the youngest vendor in this batch by some distance.
- SOC 2 Type 2, SSO, data residency, and VPC deployment are Enterprise-only, so regulated small businesses cannot buy compliance at the self-serve price.
- Credit consumption on agent runs is harder to forecast than on simple enrichment, so early months involve guesswork even with per-action cost preview.
Head-to-head comparisons
4 alternativesFloqer vs Clay
from Free plan; paid from $149/moClay is the established leader in programmable GTM data, with a deeper integration ecosystem, a bigger community, and a steeper price as usage grows. Floqer covers similar ground with unlimited seats, rolling credits, and a strong AI web-research agent layer, at a fraction of the entry cost. Teams that need the mature ecosystem and templates should take Clay; teams that want the same capability shape without per-seat economics should try Floqer first.
Full Floqer vs Clay comparisonFloqer vs Aomni
from $0 (Starter), then $300 per month (Pro)Aomni ships an opinionated research agent that already knows what an account plan should contain, for $300 a month across three seats. Floqer hands you research agents and a workflow canvas and lets you define the question. Pick Aomni when you want the research done; pick Floqer when the research question is specific to your product and no packaged tool asks it.
Full Floqer vs Aomni comparisonFloqer vs Humanlinker
from EUR 69 per month (Pro, 1 to 5 users)Humanlinker is a finished copilot with personality profiling and multichannel campaigns for EUR 69 a month covering five users. Floqer is raw capability with unlimited seats from $49. A non-technical European sales team will get value from Humanlinker on day one; a technically minded team will outgrow it and prefer Floqer's flexibility.
Full Floqer vs Humanlinker comparisonFloqer vs Apollo.io
from Free plan; paid from $49/user/moApollo bundles a large B2B database with sequencing and sending from $49 a month, and it works out of the box. Floqer has better enrichment coverage through waterfalls and research agents but no sending at all. Buy Apollo if you want one tool that both finds and contacts people; buy Floqer if your data quality is the problem and you already have somewhere to send from.
Full Floqer vs Apollo.io comparisonImplementation & onboarding
- Setup time
- A day to a first useful workflow if someone technical is driving; considerably longer if not. There is no sending setup or warmup because the platform does not send, which removes the usual two-week ramp.
- Learning curve
- The steepest in this batch, by design. Tables, enrichment waterfalls, agent prompts, signal conditions, and workflow branches are all concepts you have to hold at once. The reward is that the resulting motion is yours rather than the vendor's opinion of outbound.
- Onboarding
- Fully self-serve from free through the $999 tier, with no card required to start. Enterprise adds a dedicated CSM, a GTM engineer, onboarding, business reviews, and a shared Slack channel.
- Migration notes
- Data imports into tables conventionally and Floqer sits alongside your CRM and campaign tools rather than replacing them, so adoption is additive. Because the platform holds workflows rather than sending reputation, leaving costs you the automations you built rather than any deliverability asset. Export your table data before cancelling, since rolled-over credits do not survive an exit.
Platform, API & security
- Platforms
- Web applicationChrome extensionAPIsSlack notifications
- API
- APIs and workflow orchestration are available on paid self-serve plans rather than being reserved for Enterprise.
- Compliance
- SOC 2 Type 2 on EnterpriseGDPR on EnterpriseSSO, SAML, and RBAC on Enterprise
- Data residency
- Custom data residency and Virtual Private Cloud deployment are available on the Enterprise tier only.
- SSO
- Enterprise only, alongside SAML and role-based access control.
- Security notes
- Self-serve customers do not get SOC 2 coverage, SSO, or residency controls, so regulated buyers should assume an Enterprise conversation. The agent layer reads public web sources, and connected CRM scopes are the main permission surface to review.
Support & resources
- Channels
- Email and in-app supportDedicated CSM, GTM engineer, and Slack channel on Enterprise
- Documentation
- Product documentation covering tables, enrichment, agents, signals, and workflows, with per-action credit costs documented in the interface itself.
- Community
- Small but technically engaged user base; the company is young and its public presence is founder-led.
Company
- Founded
- 2024
- Headquarters
- Canada, with roots in Halifax and Toronto
- Ownership
- Venture-backed
- Founders
- Shivam Mahajan, Zaaheda Islam
- Employees
- Approximately 8 (2026)
- Funding
- Just over $2M CAD in pre-seed funding raised via SAFE in September 2025 and disclosed in mid-2026, with Perplexity's F7 Fund investing alongside N49P and Tidal Venture Partners.
Funding history
| Round | Amount | Year | Notes |
|---|---|---|---|
| Pre-seed | Just over $2M CAD | 2025 | Raised via SAFE in September 2025 and disclosed publicly in June 2026; Perplexity's F7 Fund, N49P, and Tidal Venture Partners participated, with Perplexity also a customer. |
Timeline
- 2024Incorporated in October by Shivam Mahajan, previously a senior software engineer at Kyndryl, and Zaaheda Islam, previously a senior data scientist at Axis Capital.
- 2025Pivots from a Chrome extension toward a full customer data engine, and raises just over $2M CAD in pre-seed funding via SAFE in September.
- 2025Builds out waterfall enrichment across more than 100 sources with built-in email and phone verification and self-healing records.
- 2026Adds Claude-powered web research agents for tasks conventional databases cannot answer, including event list building, repository analysis, and extraction from SEC filings.
- 2026Discloses the pre-seed publicly, reports passing 1,000 customers and $1M in revenue with an eight-person team, and names Perplexity, Wise, Pulumi, and AngelList as customers.
Integrations
- Salesforce
- HubSpot
- Ten or more additional CRM systems
- Slack
- Chrome extension
- APIs and webhooks for orchestration
- 100-plus enrichment data sources
- CSV import and export
Frequently asked questions
10 questionsWhat is Floqer?
Floqer is an AI-native customer data engine for go-to-market teams. It combines waterfall enrichment across more than 100 sources, AI web research agents, tracking of over 80 buying signals, self-healing contact records, and automated workflows that notify, route, and trigger campaigns. It is the substrate an AI SDR is built from rather than a packaged agent.
How much does Floqer cost?
There is a free plan with 100 one-time credits and unlimited team members. Self-serve plans run from $49 a month for 2,000 credits up to $999 a month for 80,000 credits, with 10 percent off annual billing. Enterprise is custom-quoted and adds SSO, SAML, RBAC, SOC 2 Type 2, GDPR, custom data residency, VPC deployment, and 5 million row tables.
Why are seats free?
Floqer meters usage instead of access, so every plan including the free one includes unlimited team members. For a small business this is the single most favorable pricing decision in this category: a five-person team pays the same as one person, and the only variable is how many credits the workflows consume.
Do credits expire?
They roll over for twelve months, which is unusual. Most competitors reset credits at each billing period and forfeit whatever you did not use. Floqer's rollover means a quiet quarter does not destroy capacity you paid for, though credits do not survive cancelling the subscription.
Does Floqer send emails?
No. There is no mailbox provisioning, no warmup, and no deliverability tooling anywhere in the product. Floqer finds, enriches, researches, scores, and triggers, and the actual sending happens in whatever campaign platform you already use. Budget for that separately when comparing against bundled AI SDR services.
What can the AI research agents do that a database cannot?
Answer questions with no database field behind them. Published examples include assembling event attendee lists from public pages, analyzing GitHub repositories to qualify accounts on technical adoption, and extracting unstructured financial data from SEC filings. Each agent run consumes credits, and the interface shows the exact cost before you run it.
Is Floqer suitable for a non-technical small business?
Probably not. It is a build-it-yourself platform, and the most likely failure mode is buying credits that nobody turns into workflows. If there is no one on the team who enjoys assembling data pipelines, a packaged tool such as Humanlinker or Regie.ai will produce value faster even if it is less flexible.
How does Floqer compare to Clay?
They occupy similar ground. Clay is more mature, with a larger integration ecosystem and community, and it costs more as usage grows. Floqer matches the core capability shape with unlimited seats, twelve-month credit rollover, and a strong research-agent layer, at a lower entry price. Teams already trained on Clay have little reason to move; teams starting fresh should price both.
Who is behind Floqer and how established is it?
It was incorporated in October 2024 by Shivam Mahajan and Zaaheda Islam, both Dalhousie University graduates with prior engineering and data science careers. It raised just over $2M CAD in pre-seed funding via SAFE in September 2025, disclosed in mid-2026, with Perplexity's F7 Fund participating. It reports about 1,000 customers and $1M in revenue with an eight-person team, which makes it capital-efficient but very young.
Can I get SOC 2 or data residency on the self-serve plans?
No. SOC 2 Type 2, GDPR commitments, SSO, SAML, RBAC, custom data residency, and VPC deployment all sit on the Enterprise tier. A regulated small business that needs those controls will be having a sales conversation regardless of how attractive the $49 plan looks.
Editorial verdict
Floqer is the anti-AI-SDR in an AI SDR category: no digital rep persona, no autonomy claims, no sending engine, just the enrichment, research agents, signals, and workflows that a competent team can assemble into whatever motion its product actually needs. Two pricing decisions make it exceptional for small businesses. Seats are unlimited on every plan, including free, so team size never inflates the bill, and credits roll over for twelve months instead of being confiscated at each reset. The AI web research agents are the real technical differentiator, answering questions that no contact database holds. The risk is equally clear. This is assembly required, sold to enterprise and mid-market teams, from a company incorporated in late 2024 with eight people, and it will not send a single email for you. Buy it if someone on your team will enjoy building with it. If nobody will, buy something finished instead.
Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.