Zensors vs Databricks

Side-by-side comparison of AI visibility scores, market position, and capabilities

Databricks leads in AI visibility (79 vs 35)
Zensors logo

Zensors

EmergingData & Analytics

General

SF Physical AI company using computer vision on existing cameras for airport and facility analytics; YC $650K at $15M ARR with 500-camera Harry Reid Airport deployment competing for spatial intelligence.

AI VisibilityBeta
Overall Score
D35
Category Rank
#866 of 1158
AI Consensus
67%
Trend
up
Per Platform
ChatGPT
40
Perplexity
31
Gemini
31

About

Zensors is a San Francisco-based Physical AI company — backed by Y Combinator with $650,000 raised — providing 3D spatial understanding and activity recognition from existing camera infrastructure for airports, facilities, and public spaces, generating $15 million in annual revenue with 12 employees. Founded in 2019, Zensors integrates with existing camera networks (avoiding new hardware installation costs) and applies computer vision AI to analyze passenger flow, queue lengths, occupancy, and facility utilization — enabling real-time operational decisions and long-term capacity planning from camera feeds that organizations already own.

Full profile
Databricks logo

Databricks

LeaderData & Analytics

MLOps

$4.8B revenue run-rate; 55% YoY growth; $134B valuation (Series L). Mosaic AI for enterprise LLM fine-tuning and inference; Unity Catalog for data governance. DBRX open-source model; every major enterprise AI deployment runs on the lakehouse.

AI VisibilityBeta
Overall Score
B79
Category Rank
#1 of 2
AI Consensus
58%
Trend
stable
Per Platform
ChatGPT
72
Perplexity
79
Gemini
73

About

Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.\n\nThe platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.\n\nDatabricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.

Full profile

AI Visibility Head-to-Head

35
Overall Score
79
#866
Category Rank
#1
67
AI Consensus
58
up
Trend
stable
40
ChatGPT
72
31
Perplexity
79
31
Gemini
73
26
Claude
86
37
Grok
87

Key Details

Category
General
MLOps
Tier
Emerging
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

Track AI Visibility in Real Time

Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.