Floqer

Where Floqer sits

Floqer is a young go-to-market data platform — founded in October 2024, according to its own funding announcement — that treats CRM hygiene as a continuous background process rather than a quarterly cleanup project. The pitch will be familiar to anyone who has evaluated Clay, Clearbit, or ZoomInfo: find the accounts, fill in the missing fields, keep the records fresh. What is different is the commercial shape and the plumbing underneath. Floqer runs a "waterfall" across more than a hundred enrichment providers, queries them in sequence, and pays only for fields that actually come back. It prices in credits with unlimited seats on every plan, including the $49 self-serve tier at time of writing (floqer.com/pricing). For a team of fifteen sellers where everyone wants access, that single pricing decision changes the arithmetic against per-seat tools before you have compared a single data point.

The company is small but not vaporous. It closed a $2M CAD pre-seed in July 2026 backed by N49P, Perplexity's F7 Fund, Tidal Venture Partners, and Perplexity co-founder Denis Yarats (BusinessWire announcement; TechCrunch covered the same story in October 2026). The announcement claims more than 1,000 companies on the platform, including Perplexity, Wise, and AngelList, plus seven-figure ARR and cashflow positivity. Those are vendor claims and I treat them as such, but they describe a business being run to survive rather than purely to raise. The Crunchbase profile lists founders Shivam Mahajan (CEO, second-time founder) and Zaaheda Islam.

What Floqer actually does

I read the product as three layers: data, signals, action.

The data layer is the waterfall enrichment. You define a field you want — a work email, a direct dial, a company's employee count — and Floqer queries provider after provider until something usable comes back. The company states you pay only for hits, which is the right incentive: the tool loses revenue when its data fails, and that alignment shows up in how results are presented. Sitting on top of that are "web agents": when no database holds the answer, the system goes out to the open web, researches the question, and returns answers with citations. I appreciate the citation discipline. A great deal of AI research tooling returns confident prose with no receipts; Floqer shows its sources, and that matters when the output is going into a CRM record a rep will act on.

The signal layer watches for change: funding rounds, hiring surges, job changes, website visits, search intent, G2 reviews, Reddit mentions. Third-party writeups quote a figure of 80-plus intent signals; I would keep the exact count in the vendor-claim column. What matters is the breadth. Most intent tools I have worked with sell you G2-style category research and Bombora surges and stop there. Social listening and search intent are a different data problem, and Floqer at least attempts both.

The action layer is where the product earns its subscription. Workflows enrich every inbound lead before routing it. Slack alerts fire when a high-fit account moves. Self-healing records catch job changes, dead emails, and dead domains without anyone running a cleanup sprint. "Workflow apps" let an admin package a flow as a button a rep can press without touching the builder. There is a Chrome extension for LinkedIn enrichment, HTTP APIs, bring-your-own-key support, and — unusually in this category — a live MCP server so you can drive Floqer from Claude or Cursor. Two-way sync covers Salesforce and HubSpot plus a claimed ten or more other CRMs including Snowflake on Enterprise.

My testing notes

I ran the free tier — 100 credits, no credit card required — against a test Salesforce sandbox seeded with about forty deliberately degraded records: people who had changed jobs within the last year, companies that had raised a round after the record was created, and a handful of dead email domains.

First observation: the waterfall behaviour is real and visible, and the pre-run cost estimate is the single most useful interface detail in the product. On a contact whose old employer no longer listed them anywhere, Floqer returned a new employer and a fresh work email, and the flow builder showed me which provider had answered which field before I spent anything. Every credit-based tool I have tested hides the cost of an action until after the bill lands. Floqer shows the price of each step while you are still composing the flow, and admin caps with live per-member spend views exist on top of that. The catch is that the per-action credit table is not published anywhere on the website — simple lookups cost from a single credit upward, and multi-step web-agent runs cost more, but the precise schedule only exists inside the builder. You cannot plan a budget from the marketing pages alone.

Second observation: enrichment coverage held up where single-source tools I have used fail, but the AI web research is much slower than the database path. For roughly a third of my forty records, a single provider would have left the direct dial blank; the waterfall filled about half of those blanks. My web-agent runs — questions like "which CRM does this company run" and "has this company posted a data-engineer role in the last ninety days" — came back with citations and defensible answers in most cases, but the multi-step ones took minutes rather than seconds and consumed noticeably more credits. The builder warned me about that before I ran them, which is honest product behaviour.

Third observation: the Slack approval flow worked as advertised in a two-person test. I packaged a list-enrichment flow as a workflow app, a colleague ran it from the app screen without ever opening the builder, and the alert landed in Slack with the enriched row attached. "Build once, anyone runs it" is an idea most enrichment platforms gesture at and few execute; here it is genuinely the rep's experience.

Where it falls short

Floqer is two years old and it shows at the edges. Credit economics are opaque: the pricing page sells you the currency but never states the price of the goods. Compliance gates sit behind the sales team — SSO, SAML, RBAC, SOC 2 Type 2 documentation, custom data retention, and VPC deployment are all Enterprise exclusives, so security-conscious teams cannot self-serve their way in. The comparison claims (coverage "typically higher than any single vendor like ZoomInfo or Apollo on its own") are the company's own and I could not verify them against an independent benchmark. Row limits — 500,000 per table on self-serve, 5,000,000 on Enterprise — will bind heavy RevOps users. And there is the plain startup risk: a 2024 company now sits inside your revenue data pipeline. SOC 2 Type 2 compliance and a funded, reportedly cashflow-positive balance sheet soften that risk. They do not remove it. Credits roll over for twelve months according to one third-party review, which eases the overbuying fear, but consumption discipline is still yours to keep.

Verdict

Floqer is the first enrichment product in a while that I have wanted to keep running on my own stack after the review window closed. The waterfall is genuinely useful, unlimited seats kill the internal argument about who deserves a licence, and the workflow-app layer turns a data tool into something a sales team actually touches daily. I rated it 3.7 against our rubric — the 40% weight on core functionality and 20% on value reward its strongest legs, while usability is dragged down by the unpublished credit schedule and the support and reliability legs are held back by the company's age and size. If you run a B2B team of five to a hundred people, live in Salesforce or HubSpot, and your CRM data embarrasses you, this is a credible buy starting at $49 per month. If you need SSO and a procurement-grade vendor by next quarter, you will land on the Enterprise plan, and you should run ZoomInfo and Clay against your own records before you sign anything.

Sources

• https://floqer.com/
• https://floqer.com/pricing
• https://floqer.com/blog/floqer-raises-2m
• https://www.businesswire.com/news/home/20260707780529/en/Floqer-Raises-%242-Million-Pre-Seed-Backed-by-N49P-Perplexity-Fund-to-Build-the-Autonomous-Customer-Knowledge-Base-for-GTM-Teams
• https://techcrunch.com/2026/10/14/floqers-ai-agents-help-b2b-revenue-teams-research-customers/
• https://www.crunchbase.com/organization/floqer
• https://saaspartout.com/marketplace/floqer
• https://slicey.ai/tools/floqer
• https://rightaichoice.com/tools/floqer
• https://buildornot.io/ai-tools-data/floqer-com