PredictLeads blog · Jul 2026
Explains how to build a company-discovery workflow on PredictLeads MCP by chaining technologies, hiring, news, and financing signals into an account-finding engine.
Best in class company intelligence data.
Company research
Public company, workplace, funding, and market signals
Overview
PredictLeads is a B2B company-intelligence data provider that turns public web signals into structured datasets for companies, news events, job openings, technologies, financing, products, customers, and similar-company discovery, delivered via API, webhooks, flat files, and MCP.
Primary product
Company intelligence data platform/API
Founded
2015
Headquarters
Grosuplje/Ljubljana, Slovenia (operating base); Newark, Delaware, United States (legal/privacy address)
Team size
30-40
Work style
Flexible
Industry
Software Development
Sub-industry
B2B company intelligence / business intelligence data platform
Offices
Ljubljana, Slovenia
Newark, Delaware, United States
Business model
B2B SaaS
data-as-a-service
API licensing
usage-based free-tier + paid plans
webhook / flat-file data delivery
Funding
Stage
Seed
Total raised
$275K
Latest round
Seed · Sep 2019
Latest amount
$125K
People & investors
Work & culture
Public messaging emphasizes a long-haul, collaborative culture with fun team-building activities, hackathons, and office outings; the about page highlights enjoyment, curiosity, and teamwork.
Work style
Flexible
Compensation
No public employee compensation bands or salary ranges were found in the sources reviewed; the public pricing/offer signals are product-side, not employee-side.
Product & market
Pricing
Public pricing page with a free tier (100 API requests/month) and paid plans; likely subscription/API usage-based pricing.
Differentiators
- —Primary-source traceability for every data point
- —Direct crawling of company websites, news, careers pages, blogs, and SEC filings
- —Multiple datasets in one platform (news, jobs, technographics, customers, similarities, financing)
- —MCP support alongside API, webhooks, and flat files
- —Frequent refresh cadence, including news as often as every 8 minutes and jobs every 36 hours
- —Structured event taxonomy (37 news-event categories)
- —Job data includes salary fields and O*NET classification
- —Similar-company matches include a reason field for personalization
Technology
Ruby on Rails
Python
RabbitMQ
Scala
Apache Spark
machine learning
natural language processing
web crawling
MCP
REST APIs
Customers
Venture capital firms (undisclosed)
Sales teams
Sales enablement platforms
Amplemarket
Autobound
Blueprint GTM
Configur
Povio
HyperGrowth Partners
Competitors
ZoomInfo
Apollo
Clay
6sense
Cognism
LeadGenius
Grata
Mattermark
Data Axle
Affinity
Scale & contact
Estimated revenue
$1M-$10M
Estimated monthly visits
12.3K
Traffic estimate as of Jun 2026
Latest news
PredictLeads blog · Jul 2026
Walkthrough of live company-record enrichment using the PredictLeads MCP server, emphasizing direct API/tool calls instead of batch CSV workflows.
PredictLeads blog · Jul 2026
Describes the MCP server’s dataset-specific tools for company data, job openings, technographics, news, financing, similar companies, and connections.
PredictLeads blog · Jul 2026
Details PredictLeads’ 37-category news-event taxonomy and how it is used for trigger-based prospecting and market intelligence.
PredictLeads blog · Mar 2026
Announces an integration that makes PredictLeads company-intelligence datasets available through Orthogonal for AI agents.
Jobs and careers at PredictLeads
0 jobs at PredictLeads
No open positions
Check back later for new openings