Incerto

Product Introduction

1. Incerto is an AI-native Copilot designed to automate and optimize database management tasks through context-aware agents. It translates natural language inputs into actionable database operations such as SQL query generation, schema modifications, and data migration. The platform integrates directly with database management systems (DBMS) to provide real-time solutions while minimizing manual intervention.
2. The core value of Incerto lies in its ability to enhance developer productivity by 10x while reducing manual effort by 90%. It achieves this by combining AI-driven automation with precise context awareness, ensuring accurate task execution across diverse database environments. The platform is engineered to preemptively address production issues and streamline workflows for engineering and DevOps teams.

Main Features

1. Detect & Solve Production Issues: Incerto continuously monitors databases for 100+ predefined issues, ranging from inefficient queries to cluster failures, using non-AI agents for reliability. When a problem is detected, AI-driven workflows deploy verified solutions to resolve it before user impact occurs. This includes automated rollbacks, index optimizations, and resource allocation adjustments.
2. Boost Query Performance: The platform identifies slow queries and applies DBMS-specific optimizations through a human-in-the-loop AI workflow. For example, it rewrites PostgreSQL CTEs into temporary tables or adjusts ClickHouse merge tree configurations. Engineers review and deploy optimizations via an integrated dashboard, reducing query latency by up to 70%.
3. Text-to-Task Execution: Incerto leverages large language models (LLMs) enriched with database schema metadata, query history, and performance metrics to convert natural language requests into precise SQL or administrative tasks. Users can request actions like “Migrate user data to sharded clusters” or “Analyze slow login attempts,” with the AI generating context-aware code snippets and execution plans.

Problems Solved

1. Manual Database Operations: Incerto eliminates repetitive tasks like query tuning, index management, and failure remediation, which traditionally consume 14+ hours weekly per engineer. It automates these processes with AI-verified solutions, reducing human error and operational downtime.
2. Target User Groups: The platform is tailored for database administrators (DBAs), DevOps engineers, and development teams managing large-scale PostgreSQL, ClickHouse, or Oracle deployments. It is particularly valuable for organizations with complex, distributed database architectures.
3. Use Case Scenarios: Typical applications include real-time query optimization for e-commerce platforms, automated failover handling for fintech systems, and schema migration for SaaS applications. For example, a DBA can use Incerto to resolve a Cassandra node outage via AI-generated repair commands without manual troubleshooting.

Unique Advantages

1. Context-Aware AI Integration: Unlike generic SQL generators, Incerto’s agents incorporate real-time database health metrics, query patterns, and infrastructure topology into decision-making. This enables solutions tailored to specific DBMS versions, cluster configurations, and workload types.
2. Hybrid AI/Non-AI Architecture: The platform uses deterministic agents for critical tasks like transaction logging and failure detection, ensuring reliability, while reserving LLMs for creative problem-solving. This dual-layer approach prevents hallucinations in production environments.
3. Competitive Differentiation: Incerto outperforms tools like ChatGPT for SQL or traditional monitoring suites by providing end-to-end task execution (diagnosis → solution → deployment). Its 90% accuracy rate in SQL generation and 12x faster query creation are benchmarked against industry standards like Snowflake and MongoDB Atlas.

Frequently Asked Questions (FAQ)

1. How does Incerto ensure SQL generation accuracy? Incerto cross-validates AI-generated SQL using schema constraints, query execution plans, and historical performance data before deployment. Engineers can review suggestions through a Git-like version control system with automated rollback capabilities.
2. What databases does Incerto support? The platform currently supports PostgreSQL, ClickHouse, Oracle, and Cassandra, with Kubernetes-native deployment for cloud databases. Support for Snowflake and MongoDB is planned for Q4 2024.
3. Can Incerto operate in air-gapped environments? Yes, Incerto’s on-premise version runs fully offline using distilled LLMs (7B parameters) and local agents. All data processing occurs within the user’s infrastructure, compliant with GDPR and HIPAA standards.
4. How does pricing work? Incerto offers tiered subscriptions based on active database nodes and AI feature usage. A free tier is available for single-node deployments with basic monitoring, while enterprise plans include custom AI model training and SLA guarantees.
5. What security measures are implemented? The platform uses role-based access control (RBAC), audit logging, and AES-256 encryption for all database connections. AI models are trained on synthetic data to prevent exposure of sensitive production information.