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AI

Eryx

AI prospecting for revenue teams.

AI-first prospecting infrastructure for search, enrichment, scoring, and qualification workflows.

WebAPIAI
app.eryx.digital/projects/spring-icp

Leads

5 leads · 3 high priority
5 qualifiedRun #2411 · running
AllHigh priorityReadyPending enrichment
NamePlatformScorePriorityStatus

Mia Carter

@miacreates

Instagram86highReady

Noah Blake

@noahreviewslabs

YouTube74mediumFollow-up

Ava Nguyen

@ava-nguyen

LinkedIn91highSent

Jordan Lee

@jordanfitpulse

TikTok79mediumReviewed

Riley Chen

@rileystartup

X82highNew

Profiles scanned

6,735

Qualified leads

1,934

Cost / qualified lead

$0.024

Avg. score

82.5

+4.2%

Enriched

83%

+12%

Channels

6

2 new

Qualified trend (7d)

+18%

Qualified leads by source

Instagram
468
TikTok
441
YouTube
319
LinkedIn
287

Top source

Instagram

Cost / lead

$0.024

Processing qualified leads batch #1274%
DiscoveryScoringEnrichmentOutreach prep

Inside the product

How it looks in practice

UI previews adapted from the product's own marketing landing.

Illustrative UI demo: displayed values are not customer or audience metrics.

Smart lead search

Find high-fit companies, operators, and decision-makers from multiple configured sources in one structured workflow—no tab-switching.

Mia Carter

@miacreates

86

Noah Blake

@noahreviewslabs

74

Ava Nguyen

@ava-nguyen

91

AI qualification

Auto-score and rank leads so your team only spends time on the highest-probability opportunities.

Fit score91
Fit score86
Fit score79
Fit score74

Enrichment & channels

Fill contact context and outreach channels so every row is closer to conversation-ready—not just a username or handle.

email

4

telegram

2

whatsapp

1

linkedin

1

Contact fields enriched per lead

Pipeline visibility

Track project runs, lead quality, and monthly usage in real time—always know where things stand.

Run #2411

running

Processing qualified leads batch #12

Run #2410

completed

Discovery complete — candidates in review

Run #2409

completed

Enrichment batch delivered to next stage

Eryx

Featured highlights

What this product is built to solve — at a glance.

Eryx

At a glance

Eryx is an AI-first B2B prospecting platform by Novol (FLOWPIX LIMITED, UK), available at eryx.digital. It combines search, enrichment, scoring, and qualification for revenue teams.

Overview

Eryx is Novol's AI-first prospecting platform. It connects search, enrichment, scoring, and qualification into one workflow so revenue teams spend less time on manual research and more time on conversations that convert. Built for teams that need reliable data pipelines without sacrificing speed.

Who it's for

Revenue teams, SDRs, and growth operators who need reliable prospect data pipelines without manual research bottlenecks.

Eryx

Product details

Capabilities, use cases, workflow, and feature set.

01

Unified prospect search and enrichment

02

AI-powered lead scoring and qualification

03

Workflow automation from discovery to outreach-ready lists

04

API-first integrations for custom sales stacks

Frequently asked questions

Common questions about this product.

Built by Novol

This product is designed, built, and operated by Novol (FLOWPIX LIMITED), a UK-registered software studio.

Visit official site

Related guide

Eryx is an AI-first B2B prospecting platform by Novol (FLOWPIX LIMITED, UK), available at eryx.digital. It combines search, enrichment, scoring, and qualification for revenue teams.

Read guide

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Visibility trend

Platform breakdown

Compare visibility across AI models

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    72%

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    64%

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Brands AI recommends alongside yours in the same answers

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Citation authority

Sources shaping AI answers about your category

g2.com34
techcrunch.com21
reddit.com18

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Visibility metrics for each tracked prompt

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Best CRM for startupsCommercial72%
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Alternatives to AcmeAlternatives41%
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AI
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This week

2 of 5 workouts done

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Today

Strength · upper body

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Load reduced after check-in

2/5

Next

Fr · Strength

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Course

Strength · 12 weeks

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11 scheduled·4 drafts

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Behind the scenes reel

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Weekend mood reel

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following

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Archive pick

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