Seemore Data

40% autonomous cost reduction on Snowflake environments

AnalyticsPitch Tel AvivArtificial Intelligence

▲ 84 votes4 commentsLaunched May 7, 2026

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Seemoredata is a data context engine with trained agents and algorithms that identify cost performance and workload inefficiencies and automatically enforce the fix with Guardrails. Currently delivering an average of 40% cost reduction on Snowflake environments.

AI Analysis

📝 Summary

Seemore Data is a data context engine with trained AI agents and algorithms that identify cost, performance, and workload inefficiencies in Snowflake environments. It automatically enforces fixes using Guardrails, delivering an average 40% cost reduction. It solves main user pain points including high and unpredictable cloud data warehousing bills, time-intensive manual tuning, and undetected inefficiencies. Its unique selling point is autonomous, context-aware optimization without ongoing human intervention. Overall value proposition: significant, hands-free cost savings and performance improvements for Snowflake users.

📈 Market Timing

In 2025-2026, market timing is favorable due to exploding data volumes, AI workload growth, and rising Snowflake/cloud costs amid economic pressure for efficiency. AI agent technology has matured sufficiently for practical autonomous optimization, aligning with enterprise demands for automated cost control tools. Policy and trends favor AI-driven cloud optimization. Rating: Excellent Timing.

✅ Feasibility

Technical difficulty is moderate-high due to need for deep Snowflake integration and reliable AI agents, but proven by current 40% reduction delivery. Development/operation costs are manageable for a SaaS model with strong ROI. Low supply chain risk; compliance risks exist around data access but standard for the space. Strong scalability potential. Overall rating: High.

🎯 Target Market

Main target segments: Data engineers, platform teams, CTOs and finance leads in mid-to-large enterprises using Snowflake (industries: tech, finance, healthcare, e-commerce). Geographic focus: North America and Europe. Estimated market size: TAM for cloud cost optimization ~$10B+, SAM for Snowflake-specific tools ~$500M-$1B, SOM for AI autonomous solutions ~$100-300M. Core pain points: runaway costs and optimization complexity. High willingness to pay via savings-based or subscription pricing.

⚔️ Competition

Competition level: Medium. Direct competitors: 1. Keebo (keebo.ai), 2. Snowflake native optimization tools (snowflake.com), 3. Acceldata (acceldata.io), 4. Cloudability (cloudability.com). Advantages: specialized data context engine with autonomous Guardrails agents and strong 40% avg reduction claim. Disadvantages: narrower Snowflake-only focus, newer market entrant with less brand recognition compared to native or broader platforms; may require integration effort.

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