Cut Snowflake Costs
40–80%.
Automatically.

InstaQuery is the first fully Snowflake-native autonomous SQL optimization platform. Multi-agent AI rewrites, validates, and deploys production-ready SQL — with zero manual effort.

Book a Demo → Try on Marketplace

40–80% cost reduction

Semantic validation on every rewrite

Zero data movement

Production-ready from day one

Avg Cost Reduction

40–80%

InstaQuery — SQL Optimization Engine

Snowflake Warehouse: PROD_WH

Optimizing

Queries Rewritten This Session

SELECT * FROM sales_fact JOIN dim_date…↓ 72%

WITH cte AS (SELECT region, SUM(rev)…↓ 58%

GROUP BY date_trunc('month', created_at)…↓ 81%

WHERE customer_id IN (SELECT id FROM…↓ 64%

Semantic validation passed — output identical, production ready

65%

Avg Cost Reduction

40+

Eng Hours Saved / Week

Security Reviews Required

Zero

The Problem

Snowflake Costs Are Out of Control

Every Snowflake team faces the same hidden drain: inefficient SQL quietly burning credits, engineers manually tuning queries instead of building, and no automated system to catch the waste before it hits the bill.

💸

Inefficient SQL Burns Credits Silently

Unoptimized queries — from BI tools, AI models, or legacy pipelines — run unnecessarily expensive execution paths. The cost accumulates daily, often invisibly, until the Snowflake bill arrives and it's already too late.

Pain: CFO · CTO · Finance

⏳

Engineers Tuning Queries by Hand

Manual SQL optimization is skilled, time-consuming work — and it never ends. Schema changes, new queries from AI tools, and growing data volumes mean engineers are constantly playing catch-up instead of building high-value infrastructure.

Pain: Data Engineers · Platform Teams

🚫

AI-Generated SQL Makes It Worse

Snowflake Cortex, LLMs, and BI copilots generate SQL that works — but isn't optimized. As AI usage grows, so does your query volume and compute cost. Traditional optimization tools weren't built for AI-generated SQL at scale.

Pain: Engineering · Architecture · C-Suite

The InstaQuery Solution

Snowflake, Optimized.

💰 40–80% Cost Reduction ✅ Semantic Validation 🔒 Native Architecture

InstaQuery lives inside Snowflake — autonomously rewriting SQL with validated accuracy, optimizing performance continuously, and strengthening security by design.

💰

40–80% Cost Reduction — Automatically

InstaQuery's multi-agent AI continuously monitors your Snowflake warehouse, identifies expensive query patterns, rewrites them for efficiency, and validates the output is identical before deployment. No human in the loop required.

Critical for: CFO & CTO who need measurable Snowflake ROI

🎯

AI Operationalized. Accuracy Architected.

Every SQL rewrite is semantically validated — output is tested to confirm identical results before it goes near production. Engineers get production-ready SQL they can trust without manual review, including optimization of AI-generated SQL from Cortex and BI tools.

Critical for: Engineering teams who need AI they can trust in production

🔒

Zero-Risk Native Architecture

100% Snowflake Native — InstaQuery inherits your existing RBAC and governance automatically. No data leaves your account. No external vendors. No security reviews. No NDAs. Install from Marketplace in minutes and start seeing savings immediately.

Critical for: CISOs & regulated industries who can't compromise on data security

How It Works

Install from Snowflake Marketplace and ready in Minutes

How InstaQuery Works

Query
Genie

Rewrites & optimizes inefficient SQL automatically

Env
Genie

Diagnoses systemic environment inefficiencies

100%

Result accuracy on every rewrite

< 40

Minutes to production-ready SQL

Competitive Landscape

How InstaQuery Compares

Unlike traditional optimization tools that rely on rules, or FinOps dashboards that just show you the problem, InstaQuery actually fixes it — autonomously, inside Snowflake, with semantic validation on every change.

Capability	InstaQuery	Traditional Optimization Tools	FinOps Dashboards
Native Application	✓ Yes — Snowflake Native App	✗ No (External SaaS)	✗ No
Automated SQL Rewrite	✓ Multi-Agent AI	⚠ Rule-Based	✗ None
Semantic Validation	✓ Built-In — output verified identical	✗ No	✗ No
Production-Ready Output	✓ Tested & Validated SQL	⚠ Manual Review Required	✗ Reporting Only
Optimizes AI-Generated SQL	✓ Yes — Cortex, BI tools, LLMs	⚠ Partial	✗ No
Deployment Time	Minutes from Marketplace	Months	Weeks
Pricing Model	✓ Pay from Savings	Annual License	Annual License

Snowflake-Complementary. InstaQuery does not replace Snowflake's built-in execution engine — it optimizes the SQL logic that Snowflake then executes more efficiently, compounding the value of your existing Snowflake investment.

FAQ

Frequently Asked Questions

What exactly does InstaQuery do? +

InstaQuery is a Snowflake Native App that autonomously rewrites and optimizes SQL queries running in your Snowflake warehouse. Multi-agent AI analyzes your query execution plans, rewrites them for efficiency, validates that the output is semantically identical, and delivers production-ready optimized SQL — with 40–80% compute cost reduction and zero manual effort from your engineering team.

How does semantic validation work? +

Every rewritten query is run against your data in parallel with the original. InstaQuery's Validation Agent compares the output row by row to confirm results are identical. If there's any discrepancy — even a single row difference — the rewrite is rejected and flagged for review. This means the only SQL that reaches production has been independently verified to produce the exact same business results.

Does my data or SQL leave Snowflake? +

No. InstaQuery is a 100% Snowflake Native App — all analysis, rewriting, validation, and testing happens inside your Snowflake account. Your SQL and data never move to external servers or Kloudgen's infrastructure. This is why InstaQuery requires no security reviews, no NDAs, and no vendor assessments from your CISO.

Can InstaQuery optimize AI-generated SQL from Cortex or BI tools? +

Yes. InstaQuery is specifically designed to handle AI-generated SQL at scale — including SQL from Snowflake Cortex, LLM-powered copilots, Tableau, Power BI, and other BI tools that generate SQL automatically. As AI usage in your Snowflake environment grows, InstaQuery ensures that growth doesn't translate into proportionally higher costs.

How quickly will I see cost savings? +

Most customers see their first optimized queries within hours of connecting InstaQuery to their warehouse. Meaningful credit savings are typically visible within the first week, depending on query volume and the complexity of existing workloads. InstaQuery's savings dashboard shows cumulative savings in real-time so you can track ROI from day one.

What does the multi-agent architecture mean in practice? +

Traditional rule-based optimization applies pre-defined patterns to SQL. InstaQuery uses four purpose-built AI agents — one for analysis, one for rewriting, one for semantic validation, and one for production testing — each specialized for its task. This separation means each agent can be optimized independently and that every change goes through multiple layers of validation before deployment.

Do I need engineering resources to run InstaQuery? +

No ongoing engineering resources are required. InstaQuery runs autonomously once connected to your warehouse. Your team receives notifications when optimizations are ready, can review them in the savings dashboard, and can deploy approved rewrites — but the analysis, rewriting, validation, and testing are fully automated.

Is there a free trial available? +

Yes. InstaQuery is available on the Snowflake Marketplace with a trial period. Contact us to arrange an extended 30-day trial if you need more time to evaluate performance and savings across your production workloads.