Floqer is a cloud go-to-market platform that uses AI web agents and multiple data providers to research companies and people, enrich CRM records, watch buying signals and trigger follow-up actions. Instead of asking sales staff to investigate every account manually, a team can describe its target market and let Floqer assemble, verify and continuously refresh the resulting prospect data.
What Floqer does
Floqer combines database enrichment with open-web research. Its agents can read company websites, regulatory filings, news, hiring pages, social sources, community sites and other unstructured material, then return structured fields with the source attached to each answer. The company’s 2026 homepage claims access to more than 100 sources, live signal tracking, verification, one-click workflows, automated routing and headless APIs.
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That matters when a standard contact database cannot answer a narrow question, such as which companies recently hired a particular engineering role, mentioned a technology in a public post or announced funding in a target region. Floqer says its agents search the open web when a conventional database has no answer.
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How an AI-agent prospecting workflow works
1. Define the accounts or people you want
A user describes an ideal customer profile, territory, job function or research question. Floqer can build company and people lists rather than requiring a finished spreadsheet before work begins.
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2. Enrich and verify records
The platform fills firmographic and contact fields, verifies email addresses and phone numbers, and uses a waterfall across providers when one source lacks a value. Floqer’s Actions documentation describes more than 80 data providers. Provider coverage, geography and usage economics can still vary by field, so teams should validate results against their own ICP.
3. Research the open web
Agents can inspect websites, filings, news, job postings, social media, G2, Reddit and other public sources. Results are returned as structured data with a source for the answer, allowing a rep or operations analyst to review why a company was included.
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4. Score, deduplicate and refresh
The CRM-enrichment workflow includes scheduled refreshes, duplicate removal, ICP scoring and routing. This is designed for lists that change frequently rather than a one-time export that becomes stale as soon as people change jobs or companies raise money.
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5. Trigger an action
A result can be used in a one-click action from the rep’s existing context or routed automatically into a CRM, advertising campaign, sequence or another destination. The intended handoff is from research to execution without copying findings between tools.
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Which buying signals Floqer can monitor
Documented monitors include:
- Funding announcements
- Hiring activity and newly posted roles
- Job or role changes
- Keyword-based posts
- Website visitors
- Related intent events
These monitors can support account-based marketing, event-list creation, signup enrichment, developer-signal monitoring and automated outbound programs. The useful distinction is that Floqer is not limited to a static “fit” score; it can watch for events that may change an account’s timing or priority.
Evidence of adoption and performance claims
The available public figures mix company claims with reporting by TechCrunch, so they should not be treated as a controlled performance study.
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| Metric | What is reported | Qualification |
|---|---|---|
| Source coverage | 100+ sources | Floqer’s 2026 product homepage claim |
| Data-provider network | 80+ providers | Floqer Actions documentation |
| Prospecting time reduction | Up to 70% | Company-reported figure quoted by TechCrunch; no independent controlled study is provided |
| Revenue | $1.2 million ARR | TechCrunch report from 2026 |
| Growth | Roughly tenfold year-over-year revenue growth | TechCrunch report from 2026 |
| Customers | More than 1,000 | TechCrunch report from 2026 |
| Capital raised | $2 million CAD pre-seed | Floqer announcement from 2026 |
| Daily users | 1,500+ revenue teams | Floqer homepage claim from 2026 |
| Lumana case study | 41 meetings in the first month; 10,000+ accounts and 100,000+ contacts enriched | Company-reported case-study figures on a 2025/2026 page |
TechCrunch quoted CEO Shivam Mahajan saying the company’s autonomous customer knowledge database was available only to a limited audience because demand was greater than the team’s ability to serve it properly. That statement describes launch capacity, not a guarantee of availability for every prospective customer.
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Floqer is aimed at B2B sales, marketing operations, revenue operations and growth teams managing large or fast-changing account lists. It is a stronger fit when useful information is scattered across CRM records, public websites, job boards, filings, community discussions and event research.
- Sales teams: identify and prioritize accounts, then send verified findings into rep workflows.
- Marketing operations: build event lists, enrich signups and monitor account activity.
- RevOps: schedule refreshes, enforce deduplication, score accounts and route records.
- Growth teams: turn public hiring, funding or technology signals into campaign triggers.
How to evaluate Floqer against other sales-intelligence tools
A fair comparison should examine capabilities rather than just the size of a contact database.
| Evaluation axis | Questions to ask |
|---|---|
| Research depth | Does the system provide only standard database fields, or can it investigate websites, filings, communities and niche sources? |
| Evidence quality | Does every AI-generated answer show its source? Are email addresses and phone numbers verified? |
| Freshness | Can records refresh on a schedule, and can the system monitor hiring, funding, job changes and web activity? |
| Workflow reach | Does it stop at research, or can it write back to a CRM, score records, route them and launch follow-up actions? |
| Coverage and economics | How many providers are used, which regions and fields are covered, and is billing based on usage or another allowance? |
| Governance | Are security controls, retention, SSO, role management and AI-training policies acceptable for your data? |
Security and product roadmap
Floqer advertises SOC 2 Type 2 and GDPR compliance, end-to-end encryption, role-based access, single sign-on, limited enterprise file retention and a policy that customer data is not used to train AI models. Buyers should confirm the current contractual scope of those controls for their edition and region.
TechCrunch reported that Floqer planned to open-source its autonomous database in early 2027, subject to security reviews. The stated rationale was to support customers that want self-hosting or the ability to modify the technology. A planned release is not the same as a currently available self-hosted product.
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What prospective buyers still need to confirm
Public material does not establish a complete current pricing table, plan limits or regional availability. It also does not establish affiliate or reseller terms. Marketplace listing status for Salesforce and HubSpot was not confirmed in the available documentation. Before procurement, ask Floqer for the current price model, usage limits, supported regions, data-processing terms, retention settings, CRM connectors and service-level commitments.
Bottom line for sales teams
Floqer’s core proposition is an evidence-backed research layer that connects open-web investigation, multi-provider enrichment, signal monitoring and CRM automation. It can reduce manual prospect research when a team has many accounts and needs information that changes often. The strongest diligence questions are whether its source coverage matches your market, whether verified data is accurate enough for your outreach, how usage is billed and which integrations and governance controls are available to your organization.
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