Company profile: VelociData
1.1 - Company Overview
Company description
- Provider of a purpose-built supercomputer and big data, analytics, and BI solutions for network operators, including OV Data Pipeline for low-latency telemetry collection and enrichment; OV PMA for automated upstream bandwidth maximization; OV PNM for proactive maintenance; Sweep Analytics Tool; Node Quick Scan; and a mobile app for on-the-go network analytics and management.
Products and services
- OV Data Pipeline: A low-latency system that collects telemetry from network elements, performs in-stream data transformation and enrichment, and delivers analytics-ready feeds for big data and BI
- OV PNM: A real-time tool that architects proactive network maintenance, enabling operators to identify and resolve network congestion issues in real-time
- OV PMA: An automated platform that maximizes upstream bandwidth, helping operators manage capacity growth during peak hours and balance utilization.
Key contacts
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Financial details
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1.2 - Competitors and similar companies to VelociData
Data Intelligence Technologies
HQ: United States
Website
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- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
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Geotrend
HQ: France
Website
- Description: Provider of an AI-based SaaS platform for economic and competitive intelligence that aggregates and analyzes multi-source data to map market ecosystems. Offers ecosystem exploration, competitive, technological and supply chain analyses, plus custom studies to identify key players, trends, innovations and weak signals for faster strategic decisions.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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2Foqus
HQ: The Netherlands
Website
- Description: Provider of smart data solutions that connect people, data, and business results, with four pillars: data literacy, data management, analytics, and academy.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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Tadaweb
HQ: Luxembourg
Website
- Description: Provider of open-source intelligence (OSINT) platforms that help organizations generate actionable intelligence from publicly available data by optimizing analysts’ methods and reducing time to insight from days to minutes. Offers a SaaS OSINT platform, customer success services for training and mentoring, and product operations support for setup, configuration, monitoring, and maintaining support knowledge bases and dashboards.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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Red Violet
HQ: United States
Website
- Description: Provider of analytics and information solutions via CORE, a cloud-native platform for identity intelligence and real-time analytics; IDI, for identity verification, fraud prevention, risk mitigation, customer acquisition, and asset recovery; and FOREWARN, real-time identity verification and risk assessment using minimal data such as an incoming phone number.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
View full Red Violet company profile →
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2.M&A buyers
2.1 Potential strategic acquirers in the sector
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2.2 - Strategic buyer groups for VelociData
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Buyer group 3: ████████ ████████
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3. Investors and private equity firms
3.1 - Buyout funds investing in similar companies to VelociData
2.2 - Growth funds investing in similar companies to VelociData
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4 - Top valuation comps for VelociData
4.2 - Public trading comparable groups for VelociData
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