An always-on search that continuously scans for companies matching your criteria. Describe what you're looking for and it starts matching immediately — new finds appear automatically as the database grows.

How often is new data added?

Every 6 hours. IntelPilot continuously discovers and enriches companies from across the web. Your radars re-evaluate after every scan, so new matches appear automatically.

Can I get email notifications for new matches?

Yes. Each radar has configurable email alerts: on every update, daily digest, weekly digest, or off. New matches arrive straight in your inbox.

What's included in the free plan?

Up to 2 radars (1 active, 15-day lifespan), full company browsing, detailed profiles, revenue and funding data, and the cluster visualization.

What does Pro unlock?

Unlimited permanent radars, company-aware matching with personalized reasoning, email notifications, and priority access to new features. $9.99/month, cancel anytime.

Where does the data come from?

IntelPilot searches across the web, then runs each company through AI classification, enrichment, and deep research to surface verified revenue, funding, team size, tech stack, and more.

KServe

AI InfrastructureVerified95% conf

Standardized distributed AI inference platform for scalable model deployment on Kubernetes

kserve.github.io ↗

📍 San Francisco, CA

Verified Data

🚀

FundingCNCF Incubating Project funding via Linux Foundation

🔗cncf.io↗

📊

Monthly Traffic35,000-50,000 visits/month

“~35,000 - 50,000 visits (Estimated)”

👥

Users50+ large enterprises

“50+ large enterprises (Adopters list)”

🧑‍💻

Team Size182 quarterly active contributors

“~182 quarterly active contributors”

📈

Growth25% YoY growth in production adoption

“7.5k+ GitHub Stars, 1.8k+ Forks, 450+ Total Contributors, 25% YoY growth in production adoption.”

🏷️

StageCNCF Incubating Project

📅

Founded2019

Company Profile

ModelOpen Source

VerticalMLOps, Data Science, DevOps, Enterprise AI Infrastructure

ClientsBloomberg, IBM, NVIDIA, Red Hat, Cisco, Seldon, Arrikto, Gojek, Pinterest, Wayfair

BuyersFortune 500 enterprises and AI-driven tech companies worldwide

PricingFree (Open Source); Enterprise support available via Red Hat (~$5k/node) or Seldon (Custom)

Contact

✉️ [email protected] LinkedIn

Strategic Analysis

Strategy

KServe operates as a CNCF incubating project, building the industry standard for Kubernetes-native ML model serving. The strategy focuses on creating an open ecosystem where enterprise partners like Red Hat, IBM, and Seldon provide commercial support and hosting services. They target Fortune 500 enterprises and AI-driven companies by offering a vendor-neutral, cloud-native solution for ML inference infrastructure.

Tactics

KServe leverages the open-source development model with 182 quarterly active contributors and maintains strong GitHub presence (7.5k+ stars). They execute through strategic partnerships with major cloud and enterprise vendors who provide commercial support layers. Recent tactical moves include transitioning to CNCF incubating status and releasing v0.17 with enhanced generative AI capabilities including dedicated LLMInferenceService.

Competitive Positioning

KServe positions itself as the Kubernetes-native alternative to proprietary ML serving platforms. It competes with cloud-specific solutions like AWS SageMaker and Google AI Platform by offering vendor neutrality and portability. The project differentiates through its deep Kubernetes integration, support for multiple ML frameworks, and backing by the CNCF ecosystem rather than a single vendor.

Marketing Approach

KServe follows a community-driven open-source marketing approach through the CNCF ecosystem and Linux Foundation channels. They build adoption through technical content, conference presentations, and enterprise case studies from adopters like Bloomberg and Pinterest. The project relies on partner ecosystem marketing from Red Hat, IBM, and other commercial supporters rather than direct marketing spend.