FinOpsly
FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
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Josys
Josys is a modern, AI-native identity security and governance platform built for the era of rapid enterprise AI adoption. As identity becomes the primary attack surface, Josys provides the tools to discover, govern, and secure every human, machine, and AI agent identity across your entire application ecosystem. The platform enables security and IT teams to proactively surface risks, manage granular access, and remediate identity-based threats in real-time. Trusted by more than 1,000 global organizations and MSPs, Josys transforms identity management from a complex security vulnerability into a streamlined, autonomously governed strategic advantage. Learn more at josys.com.
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Tabular
Tabular is an innovative open table storage solution designed by the same team behind Apache Iceberg, allowing seamless integration with various computing engines and frameworks. By leveraging this technology, users can significantly reduce both query times and storage expenses, achieving savings of up to 50%. It centralizes the enforcement of role-based access control (RBAC) policies, ensuring data security is consistently maintained. The platform is compatible with multiple query engines and frameworks, such as Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python, offering extensive flexibility. With features like intelligent compaction and clustering, as well as other automated data services, Tabular further enhances efficiency by minimizing storage costs and speeding up query performance. It allows for unified data access at various levels, whether at the database or table. Additionally, managing RBAC controls is straightforward, ensuring that security measures are not only consistent but also easily auditable. Tabular excels in usability, providing robust ingestion capabilities and performance, all while maintaining effective RBAC management. Ultimately, it empowers users to select from a variety of top-tier compute engines, each tailored to their specific strengths, while also enabling precise privilege assignments at the database, table, or even column level. This combination of features makes Tabular a powerful tool for modern data management.
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Increment
With our comprehensive insights and recommendations suite, managing and refining costs becomes remarkably straightforward. Our advanced models analyze expenses at the finest level of detail, allowing you to determine the cost associated with a single query or an entire table. By aggregating data workloads, you can gain insights into their cumulative expenses over time. Identify which actions will lead to specific outcomes, enabling your team to remain focused and prioritize addressing only the most critical technical debt. Learn how to set up your data workloads in a manner that maximizes cost efficiency. Achieve significant savings without the need to modify existing queries or eliminate tables. Additionally, enhance your team's knowledge through tailored query suggestions. Strive for a balance between effort and results to ensure that your initiatives deliver the best possible return on investment. Teams have reported cost reductions of up to 30% through incremental changes, showcasing the effectiveness of our approach. Overall, this empowers organizations to make informed decisions while optimizing their resources effectively.
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