Table of Contents
Executive Snapshot
Incerto represents a paradigm shift in database management through its AI-native copilot platform that transforms natural language commands into actionable database tasks. Founded in November 2023 and headquartered in Bengaluru, India, the company addresses the critical challenge of database complexity by providing context-aware automation that understands database schemas, queries, and workloads across multiple database management systems.
The platform delivers exceptional productivity gains, with documented improvements including 10x developer productivity enhancement, 90% reduction in manual database work, and up to 70% improvement in query performance. Organizations report saving 14 hours weekly per engineer through automated database operations. The company has achieved rapid market validation, earning 493 upvotes on Product Hunt and securing recognition as the second-ranked product on launch day.
Incerto serves as a comprehensive database operations platform, monitoring over 100 predefined issues ranging from inefficient queries to complete cluster failures. The system proactively identifies and resolves problems before they impact users, combining non-AI deterministic agents for reliability with advanced large language models for creative problem-solving.
Impact \& Evidence
User testimonials demonstrate significant operational improvements across diverse industries. A PostgreSQL implementation delivered impressive results with complex SQL query optimization, while the alerting dashboard proved valuable for minimizing manual intervention and reducing time to resolution. ClickHouse server monitoring and troubleshooting capabilities have transformed operational efficiency for multiple organizations.
Financial services companies have particularly benefited from Incerto’s capabilities. Fyers, a prominent brokerage firm, utilizes Incerto’s observability stack to handle massive 40TB monthly datasets consisting of metrics, traces, and logs. The platform’s effectiveness in managing this scale demonstrates its enterprise readiness for high-volume financial operations.
The platform’s real-world performance metrics include 90% accuracy in SQL generation and 12x faster query creation compared to traditional methods. Organizations report achieving superior audience interaction and deeper organizational ties through automated database management processes. The system’s ability to perform simulated scenario analysis enables higher accuracy rates when projecting database performance outcomes.
Third-party validations include successful implementations across multiple sectors, from e-commerce platforms requiring real-time query optimization to fintech systems needing automated failover handling. Academic and research institutions have deployed Incerto for schema migration and complex data analysis workflows.
Technical Blueprint
Incerto’s architecture centers on a Context Engine specifically designed for databases, which maintains comprehensive context across multiple database management systems while utilizing AI agents for problem-solving and task completion. The platform supports over 60 databases including PostgreSQL, MySQL, ClickHouse, Redshift, Oracle, SQL Server, and recently integrated BigQuery.
The system employs a hybrid AI and non-AI architecture, utilizing deterministic agents for critical operations like transaction logging and failure detection while reserving large language models for creative problem-solving. This dual-layer approach prevents hallucinations in production environments while maintaining the flexibility needed for complex database operations.
API and SDK integrations include comprehensive support for major cloud platforms (AWS, GCP, Azure), native database connectors, and enterprise application integrations. The platform’s natural language processing capabilities convert everyday language instructions into precise SQL queries and administrative tasks, supporting complex operations like data migration and performance optimization.
Scalability features include automated provisioning, backup, security compliance, and performance monitoring across distributed database environments. The system handles both cloud-native and legacy platforms, providing seamless integration with existing CI/CD pipelines and DevOps workflows.
Trust \& Governance
Incerto implements enterprise-grade security measures appropriate for financial services and healthcare organizations. The platform’s architecture ensures data privacy by operating within customer infrastructure boundaries, maintaining data residency requirements for compliance-sensitive industries.
The system supports regulatory compliance frameworks common in banking, financial services, and insurance sectors. Data governance features include production, development, testing, and quality assurance environment separation with appropriate access controls and audit trails.
Security implementations include built-in authentication, secrets integration, drift detection, and rollback capabilities. The platform maintains structured logs and integrated reporting for audit-ready visibility across all database operations and changes.
Privacy measures ensure that sensitive database information remains within customer-controlled environments, with encryption and access controls meeting enterprise security standards. The platform’s monitoring and alerting systems provide real-time visibility into security events while maintaining operational efficiency.
Unique Capabilities
Context-Aware Intelligence: Unlike generic SQL generators, Incerto incorporates real-time database health metrics, query patterns, and infrastructure topology into decision-making processes. This enables solutions tailored to specific database management system versions, cluster configurations, and workload types.
Proactive Issue Resolution: The platform continuously monitors databases for over 100 established problems, automatically deploying verified solutions through context-aware AI agents before user impact occurs. This includes automated rollbacks, index optimizations, and resource allocation adjustments.
Natural Language Task Execution: Incerto converts conversational requests into precise database operations, supporting complex tasks like cross-database migrations, performance analysis, and schema modifications. The system maintains full awareness of schema, workload, and infrastructure context during task execution.
Hybrid Automation Architecture: The platform combines reliable deterministic processes for critical operations with AI-driven creativity for problem-solving, ensuring production stability while enabling innovative solutions to complex database challenges.
Adoption Pathways
Integration workflows support both cloud-native and on-premises database environments through a flexible deployment model. The platform integrates with existing DevOps toolchains, CI/CD pipelines, and monitoring systems without requiring infrastructure changes.
Customization options include tailored monitoring dashboards, custom alert configurations, and organization-specific automation workflows. The system adapts to existing database schemas and operational procedures while gradually introducing optimization opportunities.
Onboarding support includes dedicated implementation assistance, training programs, and 24×7 enterprise support channels. Priority Slack support and service level agreements ensure rapid issue resolution during deployment and ongoing operations.
The platform offers multiple deployment options from single-database starter configurations to unlimited enterprise installations, accommodating organizations of all sizes with appropriate scalability and support levels.
Use Case Portfolio
Enterprise implementations span multiple industries, with particular strength in financial services, e-commerce, and technology sectors. Large-scale deployments include brokerage firms managing 40TB monthly data volumes and distributed database architectures requiring cross-system coordination.
Financial services applications include automated failover handling for trading systems, real-time query optimization for transaction processing, and compliance reporting automation. The platform’s reliability features support mission-critical financial operations requiring high availability and data consistency.
Technology sector deployments focus on DevOps automation, continuous integration database management, and multi-cloud database orchestration. Organizations use Incerto to manage complex microservices architectures with distributed database requirements.
ROI assessments demonstrate significant cost savings through reduced manual operations, improved system reliability, and faster problem resolution. Organizations report substantial reductions in database administration overhead while improving overall system performance and stability.
Balanced Analysis
Strengths include comprehensive database ecosystem support, proven performance improvements, and strong enterprise adoption across critical industries. The platform’s hybrid architecture provides both reliability and innovation capabilities, while its context-awareness delivers more accurate solutions than generic database tools.
User testimonials consistently highlight improved operational efficiency, reduced manual workload, and enhanced system reliability. The platform’s ability to handle diverse database management systems with unified tooling simplifies complex multi-database environments.
Limitations include the platform’s relative newness in the market, with continuous feature development ongoing. Some advanced enterprise integrations may require custom configuration, and the learning curve for maximizing AI agent capabilities may vary among organizations.
Mitigation strategies include comprehensive training programs, dedicated customer success management, and active development roadmap addressing enterprise feature gaps. The company’s responsive support model helps organizations optimize their implementations for maximum value.
Transparent Pricing
Incerto offers a tiered pricing model designed to accommodate organizations of all sizes:
Starter Plan: Free tier supporting single database deployment, hosted on local infrastructure with single user access, unlimited alerts, and limited AI credits.
Standard Plan: \$149 monthly per database, supporting up to 10 databases with cloud hosting, unlimited users, unlimited alerts and AI credits, limited integrations, and priority Slack support with service level agreements.
Enterprise Plan: Custom pricing for unlimited databases, cloud hosting, unlimited users and alerts, custom integrations, unlimited AI credits, and 24x7x365 premium enterprise support.
Total Cost of Ownership projections demonstrate significant savings compared to traditional database administration approaches, with organizations typically recovering implementation costs within the first quarter through reduced operational overhead and improved system efficiency.
Market Positioning
The database automation market is experiencing rapid growth, with projections reaching \$13.3 billion by 2032 at a compound annual growth rate of 25.6%. Incerto competes in this expanding market alongside established players and emerging AI-focused solutions.
| Platform | Focus Area | AI Integration | Database Support | Deployment Model |
|---|---|---|---|---|
| Incerto | Context-aware database copilot | Native AI agents | 60+ databases | Cloud/On-premises |
| Redgate | Database DevOps | Recent AI integration | SQL Server focus | Traditional licensing |
| Liquibase | Change management | Limited automation | 60+ databases | Enterprise licensing |
| Oracle Autonomous | Oracle-specific automation | Built-in AI | Oracle ecosystem | Cloud-native |
Unique differentiators include Incerto’s comprehensive context awareness, natural language task execution, and proactive problem resolution capabilities. The platform’s hybrid architecture and multi-database expertise position it uniquely for organizations requiring unified database operations management.
Leadership Profile
Anurag Pandey serves as Co-Founder, bringing extensive competitive programming expertise with 6-star CodeChef rating and Candidate Master status on Codeforces. His academic background includes a Master of Science in Computer Science from Chennai Mathematical Institute and previous experience as Analyst – Trading System at AlphaGrep. His achievements include ACM ICPC Regional rankings and advanced algorithm expertise.
Shiva Pundir serves as Co-Founder with previous leadership roles as Observability Lead at AHEAD and Founding Engineer positions at technology companies. His background combines technical expertise with operational leadership in observability and database management systems.
The founding team’s complementary skills span algorithmic excellence, systems engineering, and operational expertise in database management and observability platforms. Their combined experience addresses both the technical complexity and operational challenges of enterprise database management.
Community \& Endorsements
Industry partnerships include collaborations with major cloud providers and database ecosystem vendors. The platform’s open-source observability components demonstrate commitment to community-driven development while maintaining enterprise-grade commercial offerings.
Media recognition includes Product Hunt success, technology conference presentations, and industry publication coverage. The ClickHouse community has featured Incerto’s implementations, highlighting the platform’s technical depth and real-world performance capabilities.
Professional endorsements from organizations across financial services, retail, and technology sectors validate the platform’s enterprise readiness and operational effectiveness. Client testimonials consistently emphasize productivity improvements and operational reliability gains.
Strategic Outlook
Future roadmap focuses on expanding AI agent capabilities, enhancing multi-cloud database orchestration, and deepening enterprise integration ecosystems. Development priorities include advanced predictive analytics, automated capacity planning, and enhanced compliance automation features.
Market trends indicate accelerating adoption of AI-driven database automation, with organizations seeking unified platforms for multi-database environments. The shift toward cloud-native architectures and DevOps integration creates favorable conditions for platforms like Incerto.
Innovation opportunities include enhanced machine learning model integration, expanded database ecosystem support, and advanced automation capabilities for emerging database technologies. The platform’s architecture positions it to capitalize on evolving enterprise data management requirements.
Growth strategy emphasizes enterprise market expansion, strategic partnerships with cloud providers, and continued product development addressing complex database orchestration challenges in distributed computing environments.
Final Thoughts
Incerto represents a compelling solution for organizations grappling with the complexity of modern database operations across multiple systems and environments. The platform’s context-aware approach, combined with proven performance improvements and strong enterprise adoption, positions it as a significant player in the rapidly expanding database automation market.
The company’s hybrid architecture balancing reliability with innovation, coupled with comprehensive database ecosystem support, addresses real operational challenges faced by engineering and DevOps teams. While relatively new to the market, Incerto’s rapid validation through customer success stories and technical community recognition suggests strong potential for continued growth in the evolving database management landscape.
Organizations seeking to reduce manual database operations while improving system reliability and performance will find Incerto’s comprehensive automation capabilities particularly valuable, especially in multi-database environments requiring unified management and optimization approaches.