Kog

Kog

Real-time AI platform and API provider

Overview

Kog builds a realtime AI platform that lets businesses run AI models and make instant decisions inside their apps. Its core offering is an inference stack delivered as a platform-as-a-service (PaaS) or via APIs, enabling low-latency AI processing for live applications in areas like e-commerce, fintech, and ad-tech. The product works by providing developers with ready-to-use endpoints and infrastructure to host, scale, and execute AI models in real time, without building the backend from scratch. Kog differentiates itself by focusing on real-time inference and seamless integration for B2B customers, rather than general-purpose AI tools, allowing clients to embed intelligent features directly into their digital products. The company aims to support the new digital economy by enabling instant data processing and decision-making at scale through predictable subscription tiers based on usage and features.

Significant Headcount Growth

About Kog

Simplify's Rating
Why Kog is rated
C
Rated C on Competitive Edge
Rated B on Growth Potential
Rated D+ on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Les Ulis, France

Founded

2023

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Simplify's Take

What believers are saying

  • Kog released Laneformer 2B weights on June 25, 2026, accelerating developer adoption.
  • KIE preview supports H200 and MI300X, targeting premium enterprise inference buyers.
  • Hiring for GPU engineers in Paris suggests active investment and product expansion.

What critics are saying

  • Kog still runs a tech preview, so commercialization risk stays high into 2026.
  • Open-source weights erase moat if competitors copy Laneformer and inference optimizations.
  • No public funding or customer disclosures increase existential dependence on founder execution.

What makes Kog unique

  • June 2026 Laneformer 2B reaches 3,000 tokens per second on standard GPUs.
  • Kog’s inference engine prioritizes single-request latency, not batch throughput.
  • French Tech 2030 label in October 2025 validates deep technical credibility.

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Benefits

Company Equity

Conference Attendance Budget

Remote Work Options

Growth & Insights

Headcount

6 month growth

10%

1 year growth

10%

2 year growth

29%

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