AlgoX2

AlgoX2 is a New York-based data infrastructure startup, founded in 2024, that builds a high-performance data-streaming platform for throughput-critical and AI-era workloads. Its Kafka-API-compatible engine adds native support for protocols such as Redis, NATS, and MQTT, and the company claims up to 10x higher throughput and up to 90% lower total cost of ownership than legacy streaming stacks on off-the-shelf hardware. The founding team — CEO Alexei Lebedev, CTO Vladimir Parizhsky, and CBO George Levin — previously rebuilt the New York Stock Exchange's trading engine, and in October 2025 the company raised a $3.5M seed round led by Bessemer Venture Partners.

  • Seed
  • AI/ML
  • Data Platform
  • Streaming Data
  • Software & Internet

1

Round

1

Industry

4

Tags

Sep 30, 2026

Latest raise

Funding activity · 1 round

Raise timeline

  1. Sep 30, 2026

    $10M

    Seed

    Led by Fin Capital

    • Fin Capital
    • Motivate Venture Capital
    • Somersault Ventures
    • Alumni Ventures
    • Bessemer Venture Partners
    • Octave
    • AAL VC

    Article coming soon.

Pricing

Research AlgoX2 — then scale the playbook

Public hubs orient you on the raise. Paid plans unlock live AI adoption signals across your market.

Enterprise

Custom pricing for unlimited scale. Let's talk.

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Growth plan

For individuals and small teams getting started with AI buyer intelligence.

$149

/month

Features

  • Access to core AI adoption signals
  • 3–5 curated slices per week
  • 30–60 companies / week
  • AI Adoption Score
  • Deal-ready insights (why + pitch angle)
  • Basic filters (recency, slice, score)
  • CSV export
Most popular

Pro plan

For outbound teams and agencies that need more coverage and faster signal cadence.

$249

/month

Features

  • Everything in Growth, plus:
  • Full access to all slices
  • 60–120 companies / week
  • Higher-frequency signal updates
  • Priority / early signals (before Growth)
  • Advanced filters (industry, size, use case)
  • Deeper company insights
  • Faster export + bulk workflows

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