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.

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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.

Databricks

AI InfrastructureVerified95% conf

Unified analytics platform for big data and machine learning with lakehouse architecture

databricks.com ↗

📍 San Francisco, CA

Verified Data

💰

Revenue$5.4B ARR

🔗databricks.com↗

🚀

Funding$5B Series L at $134B valuation

🔗linkedin.com↗

📊

Monthly Traffic6M monthly visits

🔗similarweb.com↗

👥

Users20,000+ organizations

🔗linkedin.com↗

🧑‍💻

Team Size8,000-9,000 employees

“8,000 - 9,000 employees”

📈

Growth65% YoY revenue growth

🔗databricks.com↗

🏷️

StageSeries L (Late 2025)

📅

Founded2013

Company Profile

ModelB2B SaaS

VerticalFinancial Services, Healthcare, Retail, Manufacturing, Energy, Media, Public Sector

Clientsadidas, AT&T, Bayer, Block, Mastercard, Rivian, Shell, Walgreens

BuyersEnterprise and mid-market companies with data engineering, data science, and ML teams. Primary buyers include Data Engineers, Data Scientists, ML Engineers, Data Analysts, and CIOs/CDOs.

PricingConsumption-based pricing using Databricks Units (DBUs) with Standard, Premium, and Enterprise tiers

Contact

✉️ [email protected] LinkedIn

@databricks

Strategic Analysis

Strategy

Databricks is positioning itself as the unified platform for data and AI, betting heavily on the lakehouse architecture to replace traditional data warehouses and data lakes. They're targeting enterprise customers with a consumption-based model that scales with usage, focusing on AI-native workflows as their key differentiator. The company is preparing for IPO while expanding globally with significant investments like the $850M UK commitment.

Tactics

Consumption-based pricing model using Databricks Units (DBUs) allows customers to pay as they scale. Heavy investment in AI product development, with AI-specific products reaching $1.4B run-rate. Strategic partnerships with major cloud providers (AWS, Azure, GCP) for multi-cloud deployment. Building enterprise sales motion targeting CIOs and CDOs while maintaining developer-friendly tools for bottom-up adoption.

Competitive Positioning

Competes with Snowflake in the data warehouse space and AWS/Google Cloud native analytics services. Differentiates through unified data and ML platform approach versus point solutions. Positions lakehouse architecture as the next evolution beyond traditional data warehouses, emphasizing real-time analytics and ML capabilities on the same platform.

Marketing Approach

Enterprise-focused sales motion with dedicated account teams for large customers. Strong presence at data and AI conferences, with significant investment in developer community through open-source projects like Delta Lake and MLflow. Content marketing through technical blogs and case studies featuring Fortune 500 customers. Partner ecosystem strategy with system integrators and cloud providers.

Notable

Pre-IPO company with $134B valuation, making it one of the most valuable private software companies. Founded by creators of Apache Spark. Secured $1.8B debt facility in preparation for IPO.

🔗 Source ↗