Business Software for Databricks

Mavvrik operates as a sophisticated platform for managing costs associated with AI and hybrid infrastructure, providing a centralized hub for finance, FinOps, IT, and engineering teams to oversee GenAI, autonomous agents, GPUs, cloud systems, on-premises resources, Kubernetes, data platforms, and SaaS solutions. By consolidating cost, usage, and telemetry data from major providers such as AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, it establishes a comprehensive source of truth for the entire technology ecosystem. Teams can meticulously monitor each model interaction, agent engagement, GPU utilization, and resource workload, allowing for precise spending allocation across various dimensions, including customer, product, feature, project, application, environment, team, or cost center. Through in-depth analysis of cost-to-serve and unit economics, Mavvrik uncovers margin losses, identifies costly workloads, and clarifies the actual expenses involved in delivering each service. Additionally, its capability for real-time anomaly detection and alerts serves to flag unusual usage patterns before they escalate into unexpected budget overruns, while its predictive forecasting tools assist organizations in effectively modeling their cloud, GPU, and AI-related expenditures. This holistic approach empowers teams to make informed financial decisions and optimize resource utilization for sustained growth.

Intellrise serves as an AI-driven data analyst tailored for individuals and small teams, enabling users to connect a variety of data sources, including PostgreSQL, MySQL, SQL Server, Redshift, BigQuery, Snowflake, Databricks, Google Sheets, CSV, and Excel. Users can pose inquiries in straightforward English, while the platform generates and displays the corresponding SQL for review and modification prior to execution, ultimately providing visual outputs such as charts, dashboards, and reports that can be easily exported in formats like PDF, Excel, PowerPoint, Word, or CSV. Notably, a single inquiry can leverage multiple connected data sources, enhancing the analytical capabilities. Intellrise operates on a bring-your-own-key model for API access, allowing users to connect their own keys from Google Gemini, OpenAI, or Anthropic, which means they retain control over model selection and associated costs; however, it is essential to acquire an AI key beforehand, as no built-in model is provided. The service offers a free tier, with all new accounts commencing a 14-day Pro trial that requires no credit card information, while the Pro subscription is available at $29 per month or $24 per month with annual billing. Currently, the Pro plan is limited to single users, as shared team workspaces have yet to be implemented, but future updates may include collaborative features.

Auraa is Covasant's innovative, agent-driven data platform designed specifically for Databricks, offering the quickest route to transforming data into AI-ready formats. By utilizing conversational AI features that operate in natural language, businesses can leverage agents to autonomously identify various data sources, construct pipelines, maintain data quality, and register all components in Unity Catalog right from the start. This approach completely removes the need for traditional pipeline code, significantly reduces engineering backlogs, and eliminates months of manual setup efforts. Typically, establishing a data lake on Databricks can take upwards of 18 to 24 months, but with Auraa, the onboarding of the initial data source can be accomplished in less than 15 minutes, the first use case can be launched within hours, and the entire deployment period can be condensed to approximately 8 to 10 weeks, resulting in a cost reduction of up to 70%. Auraa redefines data engineering decisions by managing them as structured, versioned, and governed metadata instead of relying on fragile, hand-coded pipelines. The platform guarantees that the Databricks lakehouse is not only reproducible and auditable but also consistently enhances its capabilities through the use of agents, paving the way for continuous improvement and efficiency in data management.

Unity AI Gateway offers a unified framework for governance, monitoring, and expenditure management across various AI systems within an enterprise, enabling organizations to oversee agents, tools, models, MCPs, and AI frameworks from a single, regulated interface. It ensures consistent governance across AI services such as Databricks-hosted AI, external models, coding agents, and agent harnesses, while avoiding vendor lock-in for teams. Policies that are aware of user identities regulate agent access, permissible actions, and tool usage, while integrated, custom, and third-party safeguards maintain safety and compliance throughout prompts, responses, and interactions. This system records prompts, traces, tool interactions, payload logs, audit trails, token usage, and policy decisions to facilitate behavior monitoring, incident investigations, and compliance assistance. Furthermore, centralized financial controls enable tracking of consumption across various users, teams, applications, agents, and providers, incorporating budgets, rate limits, and strict spending caps to optimize resource allocation. By streamlining these processes, Unity AI Gateway empowers organizations to harness AI technologies effectively while adhering to their governance and budgetary frameworks.

The new OpenAI API service tier, GPT-5.6 Sol Ultrafast, operates up to 14 times quicker than the Standard processing version, delivering cutting-edge intelligence to applications and workflows where every fleeting moment is crucial. Utilizing Cerebras technology, it boasts the capability to produce as many as 750 output tokens each second, enabling sophisticated reasoning to function at real-time velocities without the need for a more compact or specialized model. This service is particularly tailored for business environments where rapid responses can significantly enhance the capabilities of AI systems. It has various applications, including incident response, where it can swiftly analyze logs, code changes, traces, and engineering reports during ongoing outages; financial research and security, where it can rapidly evaluate fluctuating market signals and identify suspicious transactions; and customer support, where intricate problems can be resolved seamlessly during live conversations. In the realm of e-commerce, it excels at handling product inquiries, verifying inventory status, and customizing product recommendations to enhance user experience. By implementing this advanced service, organizations can expect improved efficiency and effectiveness in their operations.

Kana is an innovative marketing platform that empowers teams to convert disjointed marketing data into timely decisions and quantifiable business results. By integrating data throughout the marketing landscape, it consolidates information that is typically scattered across various tools and uncovers emerging patterns, risks, behavioral cues, and opportunities. The platform provides recommendations and implements next-best actions, eliminating the need for manual speculations with decisions grounded in data aimed at enhancing performance. Serving as a marketing operating layer, Kana interfaces with email services, advertising platforms, CRMs, spreadsheets, and other software, utilizing AI agents to synchronize data and actions seamlessly. Unlike traditional generative AI that merely responds to user queries, its agents are designed to pursue objectives, orchestrate complex workflows, analyze signals in real-time, and carry out actions throughout the marketing infrastructure, thus enabling a more cohesive and efficient marketing strategy. This holistic approach ensures that teams can navigate their marketing efforts with greater agility and insight.

Turgon serves as a data modernization platform designed specifically for AI, enabling rapid completion of enterprise transformation initiatives within a matter of weeks by integrating specialized AI agents alongside human professionals. Its innovative agentic framework expedites the transition from outdated systems by efficiently mapping, cleansing, and restructuring data in real-time while consistently developing and refining a comprehensive data ontology. By converting disparate structured and unstructured information into high-quality, decision-making resources, it ensures that data integrity, master data management, lineage, auditability, and compliance regulations are strictly upheld by its agents. These AI agents possess the capability to analyze schemas, documents, logs, transcripts, data flows, and existing infrastructures to create a thorough overview of an organization's environment, pinpoint gaps, and formulate production-ready specifications without the need for prolonged discovery sessions. Furthermore, specialized agents manage tasks such as orchestration, Snowflake pipelines, production-grade integration coding, semantic modeling, legacy modernization, quality assurance, and continuous monitoring, thereby streamlining processes and enhancing operational efficiency. This comprehensive approach not only accelerates the modernization journey but also empowers organizations to make informed, data-driven decisions swiftly.

Rilevera functions as an AI Detection Engineer that consistently assesses, enhances, and oversees detection mechanisms across SIEM, EDR, and various data platforms, allowing security teams to concentrate on neutralizing genuine threats rather than pursuing ineffective rules. It meticulously validates detection logic, checks telemetry dependencies, and ensures schema integrity across diverse platforms, promptly detecting when a rule fails or essential data is lost. The AI-driven detection optimization leverages performance metrics, trends in false positives, overlaps, and the quality of logic to propose enhancements and seamlessly integrate validated updates back into operational platforms. Conducting Coverage and Gap Analysis, it aligns detections and telemetry with MITRE techniques and recognized threat actors, enabling teams to pinpoint vulnerabilities and prioritize the creation of new rules. Structured workflows for design, validation, peer review, and managed deployment inject both discipline and efficiency into the detection lifecycle. Additionally, Rilevera's ongoing evaluation of detection performance serves to enhance signal quality, alleviate alert fatigue, and ultimately bolster the overall effectiveness of security measures. Through its innovative approach, Rilevera empowers security teams to work more efficiently and effectively against potential threats.

Snowfire AI serves as an innovative enterprise decision intelligence platform that integrates proprietary business data, organizational insights, and contextual reasoning with real-time market indicators to empower leaders in making informed choices. It harmonizes various data sources from CRM, ERP, finance, marketing, HR, operations, and security, establishing a governed operating framework that ensures reliable metrics and complete traceability. The platform's Signals Intelligence feature constantly tracks both internal performance metrics and external changes, flagging significant developments and directing timely alerts to the appropriate leaders. Additionally, the Ask Business Data functionality enables executives to pose inquiries in everyday language, receiving immediate answers based on interconnected business data, eliminating the need for analysts or cumbersome dashboard recreations. Furthermore, Metric Intelligence standardizes the definitions of key performance indicators (KPIs), ensuring that signals, responses, and reports all originate from a uniform set of data, thereby enhancing overall clarity and consistency in decision-making processes. This comprehensive approach ultimately equips organizations with the tools they need to navigate complex business landscapes effectively.

WhereScape is a tool that helps IT organizations of any size to use automation to build, deploy, manage, and maintain data infrastructure faster. WhereScape automation is trusted by more than 700 customers around the world to eliminate repetitive, time-consuming tasks such as hand-coding and other tedious aspects of data infrastructure projects. This allows data warehouses, vaults and lakes to be delivered in days or weeks, rather than months or years.

A 50% decrease in high bill inquiries has led to improved customer satisfaction. By proactively identifying cases that may lead to customer support needs, companies can preemptively address concerns. Implementing straightforward, timely, and actionable notifications offers a sophisticated method to engage with customers proactively, which helps lower the number of incoming calls. Providing tailored, proactive explanations for those who experience unexpectedly high bills prepares customers for potential changes in their energy usage patterns. Additionally, notifying customers about upcoming seasonal transitions and offering energy-saving suggestions can further enhance their experience. Integration with Google Home and Amazon Echo allows for personalized insights, enabling customers to inquire about billing, outages, itemization of appliances, bill forecasts, utility programs, and much more. Call center representatives often face challenges when addressing bill-related inquiries, which can lead to expensive escalations and unnecessary truck rolls. The Bidgely Bill Analyzer, an AI-driven tool for customer service representatives, equips agents with detailed appliance-level usage data for each customer, enhancing their ability to resolve issues effectively. In doing so, it not only streamlines the support process but also fosters a more informed and satisfied customer base.

Soda helps you manage your data operations by identifying issues and alerting the right people. No data, or people, are ever left behind with automated and self-serve monitoring capabilities. You can quickly get ahead of data issues by providing full observability across all your data workloads. Data teams can discover data issues that automation won't. Self-service capabilities provide the wide coverage data monitoring requires. Alert the right people at just the right time to help business teams diagnose, prioritize, fix, and resolve data problems. Your data will never leave your private cloud with Soda. Soda monitors your data at source and stores only metadata in your cloud.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

You've spent years building up your business. Don't let cyber criminals destroy that in seconds. REDXRAY's proprietary intelligence feeds can identify threats daily against your networks, target companies/agencies, or supply chain. The emailed threat report covers the following types of threats: Botnet Tracker (also known as Botnet Tracker), Breach Data (also known as Breach Data), Keylogger Records (also known as Keylogger Records), Malicious Emails Context and Malicious Email Detections), OSINT Records, Sinkhole Traffic and THREATRECON Records.

AppScope introduces a revolutionary method for black-box instrumentation, providing comprehensive and consistent telemetry from any Linux executable simply by adding scope before the command. When you engage with customers who utilize Application Performance Management, they often express their satisfaction with the solution but lament the limited extension to additional applications. Typically, only a small fraction—10% or less—of their applications are equipped with APM, while they rely on basic metrics for the remainder. This raises the question: what happens to the other 80%? This is where AppScope comes into play. It eliminates the need for language-specific instrumentation and does not require input from application developers. As a language-agnostic tool that operates entirely in userland, AppScope can be utilized with any application and seamlessly scales from command-line interfaces to production environments. Users can channel AppScope data into any pre-existing monitoring tool, time-series database, or logging solution. Furthermore, AppScope empowers Site Reliability Engineers and Operations teams to closely analyze live applications, providing insights into their functionality and performance across various deployment environments, whether on-premises, in the cloud, or within containerized systems. This capability not only enhances monitoring but also fosters a deeper understanding of application behavior, paving the way for improved performance management.

Corelight offers the advantages of Zeek without the complications associated with Linux, network interface card issues, or the risk of packet loss. Setting it up is a matter of minutes rather than an extensive timeline, allowing your skilled personnel to focus on threat hunting instead of resolving technical glitches. This robust platform, rooted in open-source technology, provides you with full access to your metadata, enabling customization and extension of your capabilities, all while being part of an engaging community. We have assembled a top-tier team of Zeek specialists and contributors, supported by a world-class customer care team that consistently impresses clients with their exceptional expertise and quick response times. With the proactive and secure Corelight Dynamic Health Check feature activated, your Corelight Sensor transmits performance data back to Corelight, allowing for the early detection of potential issues like disk failures or unusual performance metrics. This ensures that your network remains secure and operationally efficient at all times. Ultimately, Corelight empowers organizations to safeguard their networks with confidence and efficiency.

Monad serves as a comprehensive security data cloud platform that simplifies the processes of extracting, transforming, and loading (ETL) data from a variety of security tools into a cohesive data warehouse. This platform empowers security teams to efficiently export data from their existing tools, customize it into tailored data models, and seamlessly deliver it to their data warehouses, thereby enabling smooth integration and deeper analysis. Additionally, it provides capabilities for security, DevOps, and cloud engineering teams to engage with data using SQL and business intelligence tools, which improves their effectiveness in normalizing, transforming, and enriching data to enhance security and compliance results. With its intuitive interface and robust enterprise-grade connectors, Monad makes it easy to establish a security data lake, assisting organizations in breaking down data silos and gaining valuable insights and analytics that contribute to effective security management. The ability to unify disparate data sources fosters a more holistic view of security metrics, ultimately leading to more informed decision-making and proactive risk management.

Create continuously improving predictive models effortlessly, without the need for intricate engineering processes. Seamlessly integrate with your current cloud data warehouse, utilizing all available data in its existing location. Effortlessly share features and deploy advanced machine learning models using just SQL or dbt, or expand functionality with Python if needed. Keep predictions organized within your data warehouse for straightforward access by your business intelligence and operational systems. Manage features and predictions directly in your data warehouse, eliminating the need for additional infrastructure. Construct cutting-edge models that capitalize on all your data without the necessity of writing code or establishing pipelines. Foster collaboration between analytics and AI teams through the comprehensive extensibility of Continual's declarative AI framework. Oversee features, models, and policies using a declarative GitOps workflow as your operations expand. Enhance the speed of model development with a collaborative feature store and a data-centric approach, while also ensuring cross-team communication remains seamless. This innovative approach allows for a more integrated and efficient workflow, ultimately driving better insights and outcomes.

Creating AI solutions necessitates a robust engineering strategy that emphasizes resilience, openness, and repeatability to attain the required quality and agility. Up until now, these initiatives have lacked a solid foundation to tackle these issues amidst a multitude of specialized tools and the rapidly evolving landscape of models and data. A collaborative development platform is essential for automating the creation and management of AI applications that cater to various user roles. By extracting highly detailed customer profiles from organizational data, businesses can forecast behaviors in real-time and on a large scale. AI-driven models can be generated to facilitate continuous learning and to meet specific business objectives. This approach also allows organizations to clarify and demonstrate their compliance with relevant laws and regulations. CognitiveScale's Cortex AI Platform effectively addresses enterprise AI needs through a range of modular offerings. Customers can utilize and integrate its functionalities as microservices within their broader AI strategies, enhancing flexibility and responsiveness to their unique challenges. This comprehensive framework supports the ongoing evolution of AI development, ensuring that organizations can adapt to future demands.

WisdomAI is a cutting-edge analytics platform that harnesses the power of AI to deliver instant insights across all data, whether structured or unstructured. Users can interact with the platform by asking simple, plain-language questions and get actionable answers instantly, enabling faster decision-making. The platform's knowledge fabric unifies data, offering a holistic view that breaks down silos and helps teams collaborate more effectively. WisdomAI also uncovers trends and opportunities proactively, delivering recommendations that are specifically tailored to each user’s goals. With seamless integration into BI tools and enterprise systems, it ensures that users have real-time access to insights. The platform’s enterprise-grade security, along with granular access controls and compliance certifications, guarantees safe and secure AI adoption across the organization.

Effortlessly identify and categorize your data, safeguard it against unauthorized access, and ensure a robust security posture. Data stands as the most essential asset for any organization, making it imperative that it serves as the cornerstone of every security initiative. Cyera offers a comprehensive data security platform that enables security teams to effectively oversee and protect all sensitive data within the company. It excels in discovering, classifying, and safeguarding data across various environments, including IaaS, PaaS, and SaaS. Regardless of whether your sensitive data is housed in buckets, folders, or files, or is stored in self-managed, managed databases, or DBaaS environments, our solution is designed to meet your needs. As the leading data security solution available today, Cyera empowers security teams to enforce protective measures directly on their data, effectively addressing challenges that often arise with conventional data security approaches. Simply select a cloud account, tenant, or organization, and we will automatically reveal the data you possess, how it is overseen, and offer guidance on mitigating any security or compliance risks that may exist. With Cyera, you can ensure your data security strategy is both proactive and comprehensive.

Cleanlab Studio offers a comprehensive solution for managing data quality and executing data-centric AI processes within a unified framework designed for both analytics and machine learning endeavors. Its automated pipeline simplifies the machine learning workflow by handling essential tasks such as data preprocessing, fine-tuning foundation models, optimizing hyperparameters, and selecting the best models for your needs. Utilizing machine learning models, it identifies data-related problems, allowing you to retrain on your refined dataset with a single click. You can view a complete heatmap that illustrates recommended corrections for every class in your dataset. All this valuable information is accessible for free as soon as you upload your data. Additionally, Cleanlab Studio comes equipped with a variety of demo datasets and projects, enabling you to explore these examples in your account right after logging in. Moreover, this user-friendly platform makes it easy for anyone to enhance their data management skills and improve their machine learning outcomes.

Bid farewell to constrained data access, challenging integrations, and tedious manual inquiries. Coris's MerchantProfiler delivers the most extensive SMB data intelligence available today. Assess your SMBs by utilizing information from sanctions, review platforms, SMB websites, and additional sources. Monitor your merchants continuously and in real-time for optimal oversight. Evaluate the professionalism of SMB websites by examining numerous proprietary data points, such as stock images, domain status, and product meta-data. Implement automated rule-based actions or escalate cases for manual assessment as needed. This approach minimizes friction for reputable merchants while allowing your risk team to concentrate on significant risk indicators. By streamlining this process, businesses can enhance their operational efficiency significantly.

Our innovative automated data operations platform empowers businesses to decrease or reassign the full-time staff required for their data management tasks. Traditionally, this has been a labor-intensive and costly endeavor, but our solution consolidates everything into a user-friendly package that streamlines the process and leads to substantial cost savings. Many organizations struggle to maintain data quality due to the overwhelming volume of problematic data they handle daily. By implementing our platform, companies transition into proactive entities regarding data integrity. With comprehensive visibility over incoming data and an integrated alert system, our platform guarantees adherence to your data quality standards. As a groundbreaking solution, we have transformed numerous expensive manual workflows into a cohesive platform. The BettrData.io platform is not only easy to implement but also requires just a few simple configurations to get started. This means that businesses can swiftly adapt to our system, ensuring they maximize efficiency from day one.

Codified makes governance as simple as writing, "support engineers may only access customer data when they are assigned a support ticket". Codified includes a data catalog, a policy engine, and a workflow manager. Customers receive a streamlined, agile data governance solution which reduces operational costs and increases productivity while improving security. Data access controls are often written as ACLs, or JSON policies. These are difficult to read and write. They are also incomplete. You can't describe your organization's policies in ACLs. Codified allows you to write your policies in plain English, and provides steps to verify their accuracy and completeness.