Karl Alternatives

SCIKIQ Data Fabric makes enterprise data AI-ready, without rebuilding the data stack, In weeks and months or years SCIKIQ is an AI-native Data & Intelligence Platform that helps enterprises connect, contextualize, govern and activate their data for analytics, Generative AI and intelligent agents. Instead of adding another disconnected tool, SCIKIQ creates a unified intelligence layer across the technology you already use from SAP, Oracle and Salesforce to Snowflake, Databricks, cloud platforms, data lakes and enterprise applications. The result is trusted, contextualized and AI-ready enterprise data — in weeks, not years. What makes SCIKIQ Data Fbric different is its ability to bring the entire data-to-AI journey into one platform. Data integration, transformation, data quality, governance, catalog, lineage, semantic models, knowledge graphs, conversational analytics, AI/ML, data products and AI agents work together rather than as separate tools. At the heart of SCIKIQ is Contextual Intelligence. SCIKIQ connects technical metadata with business definitions, KPIs, ownership, relationships and rules so that people and AI understand what enterprise data actually means. This semantic foundation helps create more trusted analytics and better-grounded AI responses. Business users can simply ask questions of their enterprise data in natural language, explore KPIs and root causes, and receive contextual answers without depending on SQL or waiting for another report. For data and technology teams, SCIKIQ provides a governed foundation with 200+ connectors, active metadata, multi-hop lineage, data quality, role-based governance and multi-cloud support across AWS, Azure, GCP, hybrid and on-prem environments, and you don't have to rip and replace your existing investments. SCIKIQ works with your stack, not against it. SCIKIQ is already trusted in production by leading enterprises across the USA, India and UAE, including organizations such as American Express, London Stock Exchange Group, Landmark Group and EFS. Its solutions have also been delivered alongside global technology and consulting ecosystems including AWS, Microsoft Azure, Deloitte, EY, Infosys and Tech Mahindra. SCIKIQ has been recognized by Forrester, NASSCOM, YourStory, Inc42 and DataIQ, providing independent validation of its innovation in enterprise data and AI. If your enterprise already has data but is struggling to turn it into trusted AI, SCIKIQ is where that journey begins

AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric. By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact. With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows.

Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a Forres

Codd AI solves one of the biggest problems in analytics: making data truly business-ready. Instead of teams spending weeks manually mapping schemas, building models, and defining metrics, Codd uses generative AI to automatically create a context-aware semantic layer that aligns technical data with your business language. That means business users can ask questions in plain English and get accurate, governed answers instantly—through BI tools, conversational AI, or any endpoint. With governance and auditability built in, Codd makes analytics faster, clearer, and more trustworthy. Codd AI ingests both technical metadata from your database, as well as business rules and logic to use AI to auto-generate the most comprehensive semantic layer. This semantic layer is embedded in an intelligent query agent to power natural language (NLP) conversational analytics or power traditional BI tools

Microsoft 365 Copilot Analyst is an advanced AI agent designed to transform raw data into valuable insights. By utilizing powerful data analysis capabilities, including Python coding, Analyst helps users make informed, data-driven decisions. It can process complex datasets, generate reports, and uncover trends, all while seamlessly integrating with Microsoft 365’s suite of tools. Analyst empowers users to automate data analysis, saving time and enabling businesses to make better strategic decisions based on real-time, accurate insights.

Actian AI Analyst is a context-aware conversational analytics platform designed to help organizations get trusted answers from their data using natural language. It enables business users to ask questions directly without writing SQL, transforming traditional dashboards into an interactive, ongoing conversation with data. It operates on a governed semantic layer that models business metrics, relationships, and definitions before analysis begins, ensuring that every query is grounded in how the organization actually works. This semantic layer is automatically generated and maintained by the Steward AI agent, which continuously monitors data definitions and connections, providing reviewable action plans to maintain accuracy over time. AI Analyst preserves conversational context across follow-up questions, allowing deeper exploration while keeping results consistent with defined business logic.

askme360 is an enterprise AI agent for business data, built to unlock decisions across the business with instant answers, email-ready reports, and live dashboards. It is AI for ERP, designed to let users stop waiting for SQL queries and instead ask questions in natural language, receive visual charts, structured tables, and clear text summaries directly from enterprise systems. askme360 goes beyond simple queries by forecasting the future, reconciling spreadsheets, automating workflows, extracting data from PDFs, routing it into databases, scheduling recurring reports, and performing live web intelligence searches while keeping enterprise data protected inside the firewall. It is compatible with enterprise ERPs and supported LLMs, with insights strictly tied to live database schemas and enterprise documents for ERP-grounded accuracy. Security is built around data sovereignty, private cloud or on-premise deployment, zero trust identity, SSO through Okta or Entra.

Orka is an AI-powered self-service analytics platform that enables users to query and analyze data using natural language. Connect multiple databases, including MongoDB, PostgreSQL, and MySQL, and ask questions in plain English without writing SQL or creating complex dashboards. Orka's AI-powered multi-agent architecture understands context, generates and validates queries, analyzes data across multiple databases simultaneously, and delivers accurate answers in seconds. Users receive actionable insights through charts, tables, dashboards, reports, and visualizations, all from a single conversational interface. Designed for business users, analysts, product teams, and decision-makers, Orka eliminates dependency on technical teams and makes data exploration accessible to everyone. From cross-database analytics to real-time insights, Orka helps organizations turn data into faster, smarter decisions.

NavAI.com is a revolutionary AI-driven platform designed to empower businesses with actionable insights, streamlined processes, and intelligent decision-making capabilities. By leveraging advanced technologies such as machine learning, natural language processing, and predictive analytics, NavAI transforms raw data into meaningful information. Its conversational AI interface enables users to ask questions in plain language and receive instant, precise answers, making data analysis intuitive and accessible for teams across industries. The platform offers proactive insights, real-time updates, and data visualization tools that simplify complex datasets. With NavAI, businesses can forecast market trends, optimize operations, and personalize customer experiences with unparalleled accuracy. Its robust capabilities include live monitoring, market forecasting, and creating visually impactful charts and reports that aid in strategic planning and impactful decision-making.

Beye is an AI-native generative business intelligence platform that ingests and auto-cleans raw data from spreadsheets, ERPs, and cloud apps, into unified, AI-optimized dataverses in weeks rather than months. Its generative BI agent auto-builds your first data model and starter dashboards around your specific use case, applying metadata and semantic layers, measure creation, and data preparation without manual effort. Business users, managers, and executives can ask questions in plain English, no SQL or dashboard navigation required, to receive instant, high-fidelity analytics, contextualized insights, and root-cause explanations with traceable queries. It integrates seamlessly with SAP, Snowflake, Salesforce, NetSuite, and over 50 additional sources, supports collaborative channels and custom metrics, and validates answers through AI-driven workflows.

​Supaboard is an AI-powered business intelligence platform that enables users to analyze data and create real-time dashboards by simply asking questions in plain English. With one-click connections to over 60 data sources, including MySQL, PostgreSQL, Google Analytics, Shopify, Salesforce, and Notion, users can unify their data without a complex setup. It offers pre-trained, industry-specific AI analysts that generate SQL and NoSQL queries automatically, providing instant insights through charts, tables, and summaries. Users can build and embed customized dashboards by pinning responses and tailoring information for different audiences with filtered views. Supaboard ensures data security by connecting with read-only access, storing only schema metadata, and implementing granular access controls. Designed for universal usability, it minimizes operational overhead, allowing businesses to make data-driven decisions 10 times faster without requiring coding or data expertise.

FireAI is an AI-powered business intelligence platform that turns raw data into instant decisions through natural language querying. Users simply ask business questions in plain text or voice across 12 Indian languages and receive real-time visual answers — no SQL, no analysts, no waiting. The platform connects with 700+ data sources including ERP, CRM, and cloud systems, and features proprietary Causal Chain Analysis for root cause diagnostics. With interactive dashboards, smart alerts, role-based access, and a mobile-first interface, FireAI empowers MSMEs, mid-market companies, and enterprises to make faster, smarter decisions. Built in India. Serving the world.

Exmergo Viz is the Dashboard AI Agent that turns messy data into reliable dashboards in minutes, not weeks. Users can upload or connect datasets, explore them with AI, and generate interactive visualizations from one workspace. It supports structured files such as CSV and Excel, live data connectors, and a centralized Data Hub that lets teams reuse the same data across multiple dashboards and analyses with full traceability. Instead of writing SQL queries, Python scripts, or building charts manually, users ask questions in natural language, request rankings or comparisons, and let Exmergo’s AI analyze datasets in real time to deliver clear, contextual insights. Exmergo Viz creates rich interactive charts, analytical views, built-in analysis, and actionable insights that help teams uncover trends, compare metrics, and share findings faster.

DokGPT is an AI document agent that retrieves verified, hallucination-free answers from your corporate knowledge base. Ask questions in plain language and get answers from PDFs, contracts, spreadsheets, and videos — directly in Microsoft Teams or WhatsApp. No manual document hunting. No waiting for someone to find the file. DokGPT connects to Azure, Zoho, and other enterprise platforms for unified access. It automatically formats responses as tables or charts when useful, supports multilingual queries, and works across HR, legal, sales, healthcare, and manufacturing use cases. Built on RAG architecture, every answer is grounded in your actual documents — not model hallucinations.

Avanzai helps accelerate your financial data analysis by letting you use natural language to output production-ready Python code. Avanzai speeds up financial data analysis for both beginners and experts using plain English. Plot times series data, equity index members, and even stock performance data using natural prompts. Skip the boring parts of financial analysis by leveraging AI to generate code with relevant Python packages already installed. Further edit the code if you wish, once you're ready copy and paste the code into your local environment and get straight to business. Leverage commonly used Python packages for quant analysis such as Pandas, Numpy, etc using plain English. Take financial analysis to the next level, quickly pull fundamental data and calculate the performance of nearly all US stocks. Enhance your investment decisions with accurate and up-to-date information. Avanzai empowers you to write the same Python code that quants use to analyze complex financial data.

Sequel simplifies data for everyone. Get instant insights and visuals by simply asking questions. Ask Sequel anything about your data and get instant results from your database. Our AI-powered tools help you quickly find the insights you need to make better decisions. Get instant answers to all your queries. Get AI-generated charts and visualizations. Let your data do the talking, the easy way. A pro-AI SQL Engineer is always by your side. Sequel supports a wide range of databases and services to get the most out of your data. Sequel is a natural language interface for databases. It allows you to query your database using natural language. No need to write SQL queries. Sequel is for anyone who works with databases. Whether you are a developer, data analyst, or business user, Sequel can help you query your database faster and more efficiently. Sequel uses natural language processing to understand your questions and convert them into SQL queries.

BayesLab is a deep analysis AI agent platform that helps users of all skill levels extract insights and value from their data by combining AI-driven data analytics, visualization, reasoning, and reporting in a single interface. It lets you upload or connect datasets and then uses large-language AI to interpret, explore, chart, and explain key trends and patterns so you can move quickly from raw numbers to meaningful conclusions without needing a full data team. BayesLab supports automated chart and report generation, statistical analysis, predictive modeling, and customizable templates for common workflows like risk scoring, forecasting, segmentation, or performance tracking, and it produces outputs such as exportable narratives, PDFs, dashboards, and data files that are boardroom-ready. BayesLab’s AI acts like a smart collaborator, letting you ask questions in plain language, drill deeper into results, refine analysis steps, and iterate interactively.

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500

Excelmatic is an AI‑powered Excel companion that transforms raw spreadsheets into instant insights, analytics, and visualizations through a conversational interface. Users simply upload files, ask questions in natural language, and receive real‑time answers, charts, and KPI summaries without writing a single formula. Behind the scenes, Excelmatic automates data preparation, cleaning complex tables with customizable rules, intelligent type recognition, and batch processing, then applies advanced statistical analysis (trend analysis, anomaly detection, multi‑dimensional breakdowns) and generates professional charts (bar, line, pie, etc.) with dynamic updates and style customization. Its formula assistant further accelerates workflows by converting plain‑English prompts into accurate functions, offering an extensive library, error correction suggestions, and support for nested or array formulas. Additional capabilities include one‑click extraction of tabular data.

​PandaAI is an AI-driven platform that transforms natural language queries into actionable data insights, streamlining the data analysis process. It allows users to connect databases effortlessly, enabling instant report generation through agentic AI and text-to-SQL layers. Users can interact with their data using conversational AI, facilitating intuitive, human-like queries. It also supports team collaboration by allowing users to save responses as data snippets and share them with colleagues. To get started, users can install the pandasai Python library, set up their API key, load their datasets, and push them to the platform for analysis.

Genloop is an intelligence layer between your entire data estate and every human or AI agent that needs to reason about it — connecting live to Snowflake, BigQuery, and lakehouse sources, no ETL, no copies, reasoning across all of them in a single query. Liveboards — free automated reports on live data, no setup Proactive monitoring — agents watch metrics and surface findings before you ask Living Context Graph — captures what data means, how the business investigates, and who's asking, so the same question gets the same verified answer every time Decision Intelligence — tracks actions and outcomes post-answer, feeding back into the graph so future suggestions are grounded in what's actually worked Compounding, not just answering — each layer sharpens the next; Genloop gets more accurate with use instead of resetting every session #1 on Spider 2.0-Snow (96.70%) — the hardest public benchmark for enterprise text-to-SQL reasoning

Trace is an automated KPI analysis platform that helps teams see exactly why business metrics move without chasing dashboards or waiting days for answers. It uses metric trees to connect KPIs with their underlying drivers in a shared, computable model of performance, making analysis repeatable, explainable, and suitable for reliable AI-powered insights. Trace decomposes performance, attributes changes, ranks the most important drivers, compares results with plan, detects anomalies, and scans segments so teams can move from a question to a clear explanation in minutes. Unlike dashboards that only show what happened or AI copilots that still depend on users to direct the investigation, Trace encodes analytical skills that allow its AI agent to perform the analyst workflow autonomously. Teams can begin with one or two critical KPIs, use editable templates, and connect the platform to their warehouse without migrating or restructuring data.

Milo is a secure AI data analyst that helps teams query, analyze, and understand their data using natural language. Instead of building complex dashboards or writing SQL, users can simply ask questions and receive instant answers, charts, and insights. The platform connects directly to company data sources and transforms raw data into clear analysis within seconds. Milo is designed for business teams, analysts, and product managers who need quick access to insights without relying on manual reporting or traditional business intelligence tools. Security and data governance are core to Milo’s architecture. The platform is built for enterprise environments and includes strict access controls to ensure sensitive company data remains protected. By simplifying how teams interact with data, Milo enables organizations to move faster, reduce dependency on manual reporting workflows, and make better decisions with real-time, AI-driven analysis.

Reshape how everyone accesses, manages, and acts on data and insights by connecting every data source and analytics service together—on a single, AI-powered platform. All your data. All your teams. All in one place. Establish an open and lake-centric hub that helps data engineers connect and curate data from different sources—eliminating sprawl and creating custom views for everyone. Accelerate analysis by developing AI models on a single foundation without data movement—reducing the time data scientists need to deliver value. Innovate faster by helping every person in your organization act on insights from within Microsoft 365 apps, such as Microsoft Excel and Microsoft Teams. Responsibly connect people and data using an open and scalable solution that gives data stewards additional control with built-in security, governance, and compliance.

Alkemi’s flagship product, DataLab, is a secure AI-native workspace that connects directly to your company’s governed data from sources like Snowflake, BigQuery, Databricks, or simple CSV uploads and lets users ask questions in plain English to get instant, transparent answers, charts, and recommendations with no SQL or analysts required. DataLab indexes and analyzes your data inside a private, secure environment so every insight is traceable and verifiable, and your data never leaves your control, protecting intellectual property and governance. It bridges the gap between complex data stores and everyday decision-making by combining the clarity of business intelligence with conversational AI to reduce BI backlogs and speed decisions for marketing, finance, product, sales, operations, and more. DataLab also enables data providers to turn datasets into interactive, AI-ready experiences that buyers can explore securely without exposing raw data, and accelerating data discovery.

DataWise is a purpose-built solution for SAP data modernization. It bridges SAP (ECC or S/4HANA) and the Databricks Lakehouse to transform siloed operational data into a trusted, analytics-ready foundation for real-time decisions and AI innovation. DataWise accelerates value with SAP-native connectors and prebuilt models for common modules (SD, MM, PM, Finance, Ariba, SuccessFactors). Automated ELT pipelines land data into Delta Lake, while MatchX AI-powered data quality engine performs cleansing, standardization, deduplication, and entity matching to raise data accuracy and completeness at scale. Governance is enforced end-to-end through Unity Catalog, fine-grained access controls, and lineage. Once standardized and governed, DataWise activates your SAP data across BI dashboards, machine-learning features, and event-driven workflows without disrupting core ERP.

The platform indexes BI tools and semantic layers, documents data in dbt, and uses OpenAI and language models to provide self-serve power analytics. With TextQL, non-technical users can easily and quickly work with data by asking questions in their work context (Slack/Teams/email) and getting automated answers quickly and safely. The platform also leverages NLP and semantic layers, including the dbt Labs semantic layer, to ensure reasonable solutions. TextQL's elegant handoffs to human analysts, when required, dramatically simplify the whole question-to-answer process with AI. At TextQL, our mission is to empower business teams to access the data that they're looking for in less than a minute. To accomplish this, we help data teams surface and create documentation for their data so that business teams can trust that their reports are up to date.

Empower your data practitioners with deep context learning agents to instantly derive insights from complex structured data. Your data isn’t just numbers; it’s a narrative. Our deep context-learning engine ingests, enriches, and unifies your complex, multi-source data, turning fragmented information into a cohesive graph. From multi-cloud warehouses to advanced data lineage, watch the full story unfold in real-time. Gain insights that evolve with your data, empowering decisions without the noise. Bring every data role into one streamlined workflow with agent-guided collaboration. Analysts, engineers, managers, and AI work side by side, breaking down silos with agentic workflows that simplify even the most complex analytics tasks. Our agents ensure seamless information flow across teams, slashing time to insight and amplifying team impact. Unlock your data’s full potential, together.

Dot is an AI data analyst that connects directly to your data warehouse and lets users ask questions in plain language to get instant, trustworthy insights. It integrates with Slack, Teams, or a native web app to deliver ad‑hoc data retrieval, visualizations, root‑cause analysis, and weekly business reports with actionable recommendations. By learning from your existing BI tools, dbt metrics, LookML, SQL queries, and documentation, GetDot.ai ensures consistent, governed answers reinforced by role‑based permissions and row‑level security. Setup is code‑free, with one‑click integrations for Snowflake, BigQuery, Redshift, PostgreSQL, and other SQL‑based sources. Continuous monitoring uncovers unknown unknowns, while a dedicated training and governance workspace lets you refine its behavior and maintain accuracy. Designed for speed and simplicity, Dot replaces dashboard overload by delivering precise answers in seconds rather than days.

Discover the nuance behind the trends by following a guided journey of data analytics questions to understand what’s truly going on. Empower your stakeholders with self-service data analytics. Give them the ability to access and analyze the data they need, when they need it. Increase efficiency, reduce dependency on IT, and make data-driven decisions faster with a self-service analytics solution. Athenic AI connects to your data stored in a database, data warehouse or an application like a CRM or ERP platform to answer your questions without SQL knowledge or a business analyst. We have built Athenic to be able to interpret natural language and translate into SQL queries. We have even added the option to give the AI additional context in natural language.

Modern.ai is an AI operating layer for ecommerce growth that connects and structures the data behind a business so every team, tool, and AI can act on what is true. It brings Shopify, advertising, lifecycle, marketplace, finance, calendars, goals, costs, and custom revenue into one reconciled source of truth, preserving granular history instead of letting it disappear inside individual platforms. Teams can use the same structured layer for unified reporting, attribution, cohort analysis, contribution, marketplace performance, goals, pacing, and source-backed answers. Every brand receives a dedicated MCP server, allowing approved tools such as Claude, ChatGPT, Gemini, Cursor, and other MCP clients to query ecommerce data directly without CSV exports, context stuffing, or an analyst acting as the API. Modern structures the data first, giving AI cleaner entities, longer history, source context, and fresher answers.

Chatterence is a European AI platform built for businesses that need a multilingual web assistant without sending customer conversations outside the EU. It answers site visitors in 30+ languages, grounded strictly in the operator's own content so it never fabricates answers, and hands off to a human by email or WhatsApp when a conversation calls for one. Paired with it is a business intelligence layer that consolidates advertising, analytics and the assistant's own conversation data into a dashboard you can query directly, in plain language. Hosted on EU infrastructure with an isolated deployment per client and no tracking cookies, it's built around GDPR and EU AI Act requirements from the start. Developed by AC Agency, based in Las Palmas de Gran Canaria, Spain.

Snowflake Cortex AI is a fully managed, serverless platform that enables organizations to analyze unstructured data and build generative AI applications within the Snowflake ecosystem. It offers access to industry-leading large language models (LLMs) such as Meta's Llama 3 and 4, Mistral, and Reka-Core, facilitating tasks like text summarization, sentiment analysis, translation, and question answering. Cortex AI supports Retrieval-Augmented Generation (RAG) and text-to-SQL functionalities, allowing users to query structured and unstructured data seamlessly. Key features include Cortex Analyst, which enables business users to interact with data using natural language; Cortex Search, a hybrid vector and keyword search engine for document retrieval; and Cortex Fine-Tuning, which allows customization of LLMs for specific use cases.

Our no-code platform leverages cutting-edge AI to deliver insights so you can optimize your business growth effortlessly. Our no-code platform leverages catered AI agents to deliver insights so you can optimize your business growth effortlessly. Use machine learning and natural language processing to convert human language queries into database interactions, making data retrieval simple and intuitive without needing SQL knowledge. Analyze data to uncover trends, patterns, and actionable insights, supporting decision-making and optimizing business processes. Transform data into clear visuals like charts, graphs, and reports, making complex information easy to understand and act upon. Stop wrestling with complex SQL syntax. Legion AI utilizes an intelligent agentic workflow. You simply describe your data needs in natural language, and our AI agents handle the rest. This means even non-technical users can access and analyze data from any connected database.

AskEnola is an AI-powered Super Analyst that replaces dashboards and manual reporting. It connects directly to your data warehouse, such as Snowflake, BigQuery, or Redshift, and understands your business KPIs to deliver instant answers to complex questions in plain English. Unlike BI tools that require setup, Enola is ready from day one and uncovers trends, diagnoses root causes, and predicts outcomes in real time. Teams across RevOps, BizOps, FP&A, and Product use Enola to speed up decision-making, cut reporting costs, and boost analytics adoption. By combining BADIR™ methodology with contextual AI, it eliminates data silos and transforms how companies react to market changes. Whether you are analyzing churn, forecasting revenue, or monitoring performance, Enola gives you insights you can trust without tickets or dashboards. Get your free demo now or try Enola in action on Sandbox.

Empower your data team to focus on what matters most. Answer ad-hoc questions from business stakeholders instantly. Business stakeholders get their questions answered immediately. Non-technical users ask questions directly in Slack/Teams and Data Analyst Language Model (DaLM) responds with the result. Cut out time spent on ad-hoc questions and focus on analysis that drives revenue growth. Empower analysts to focus on what matters most. Simply open a file of past queries to get started. DaLM learns the business logic behind the queries and improves as analysts use the IDE more. Get started in 5 minutes, with any database, any size, and any complexity. We do not track anything and no actual data from your database leaves your environment. Schema and query code are sent to the LLM, but no actual data. Any PII in query code is masked as well.

Powerdrill Bloom is a general-purpose AI agent — an action engine that goes beyond answers to execute tasks, automate workflows, and extend what one person can do. Run specialized Claude Skills for research, analysis, automation and execution; connect MCP servers; and rely on Workspaces that understand your files once and remember them across every chat session, with multimodal support for docs, slides, spreadsheets, images, audio and video. Its flagship capability is data: drop in Excel, CSV, TSV or PDF and Bloom auto-cleans it, suggests smart exploration paths, surfaces trends and anomalies on a visual canvas, recommends the right charts, and turns any canvas into a presentation-ready deck (Professional, Business or Fancy) exportable to PowerPoint or Notion. Built for business, marketing and finance teams — no SQL, no Python, no design background required.

Anania is an AI-powered self-service analytics platform that allows you to ask analytical questions in plain English and get answers instantly. Powered by revolutionary AI, Anania acts like your virtual data assistant. Once connected with your data source, Anania understands your questions as people do. Ask your questions in plain English without any structured phrasing and Anania will understand, analyze your data & provide answers in terms of numbers, text, tables, and charts. No setup procedure is required. Once integrated, Anania automatically learns from your data and is ready to answer various questions, from simple average calculation questions to finding correlations and complex analyses. No code approach allows everyone to use it without having any analytical background. You can upload your file, connect your database or integrate Anania with your favorite BI tool-Anania supports all these data sources.

Rose AI is an intuitive data discovery and visualization platform designed specifically for financial analysts and decision-makers. It integrates advanced natural language processing and large language models (LLMs) to enable users to ask questions in everyday language and receive precise, explainable insights. The platform transforms complex datasets into dynamic visualizations like line charts and heatmaps, making data easier to understand. Every insight and visualization is fully traceable with audit logic to ensure data integrity and build trust. Rose AI supports seamless collaboration through shared workspaces while maintaining security and data accuracy. With connections to diverse data sources and over 100 built-in data transformations, Rose AI simplifies the entire data analysis journey.

​Lumi AI is an enterprise analytics platform that enables users to explore data and extract custom insights through natural language queries, eliminating the need for SQL or Python expertise. It offers self-service analytics, conversational analytics, customizable visualizations, knowledge management, seamless integrations, and robust security features. Lumi AI supports diverse teams, including data analysis, supply chain management, procurement, sales, merchandising, and financial planning, by providing actionable insights tailored to unique business terms and metrics. Its agentic workflows address simple to complex queries, uncover root causes, and facilitate complex analyses, all while interpreting business-specific language. Lumi AI integrates effortlessly with various data sources, ensuring enterprise-grade security by processing data within the client's network and offering advanced user permissions and query controls. ​

Open source data governance suite for databases and data lakes. Tokern is a simple to use toolkit to collect, organize and analyze data lake's metadata. Run as a command-line app for quick tasks. Run as a service for continuous collection of metadata. Analyze lineage, access control and PII datasets using reporting dashboards or programmatically in Jupyter notebooks. Tokern is an open source data governance suite for databases and data lakes. Improve ROI of your data, comply with regulations like HIPAA, CCPA and GDPR and protect critical data from insider threats with confidence. Centralized metadata management of users, datasets and jobs. Powers other data governance features. Track Column Level Data Lineage for Snowflake, AWS Redshift and BigQuery. Build lineage from query history or ETL scripts. Explore lineage using interactive graphs or programmatically using APIs or SDKs.

Menza is an AI-powered data analytics and business intelligence platform that continuously monitors and analyzes a company’s connected data, from ecommerce systems like Shopify and POS to ad platforms like Google Ads and Meta, CRM, finance, and more, then translates complex signals into clear, plain-English insights, alerts, and recommendations so teams always know what’s happening and why. With over 650 integrations, Menza lets users ask natural-language questions about their business and instantly receive trustworthy, cross-platform answers, visual dashboards, and proactive alerts delivered to their inbox or dashboard before small issues become big problems. It automatically detects anomalies such as revenue drops, inventory shortages, campaign inefficiencies, and optimization opportunities, offering context and actions that help optimize marketing spend, operations, and growth strategies.

Daivio is an intelligent data analysis and data-quality platform that helps teams deeply understand their datasets, detect issues, and improve data readiness within a single automated workspace. It combines automated analysis, AI-powered assistance, and user-guided fixes in a reproducible and traceable environment so organizations can manage data more confidently. Users can upload CSV or Excel files and instantly receive smart visualizations such as word clouds, bar charts, line charts, and correlation matrices tailored to the dataset. It provides intelligent cleanup recommendations that automatically identify and fix missing values, outliers, and inconsistencies, reducing the need for manual data preparation. Through its natural language chat interface, users can ask questions in plain English and perform complex analyses or transformations without coding.

Pulse is an always-on AI business intelligence analyst that turns messy, scattered data into clear, interactive dashboards and insights simply by chatting in plain language. It connects seamlessly to CSV, Excel, Google Sheets, Google Analytics, Shopify, API endpoints, and, soon, databases, then automatically ingests, cleans, structures, and analyzes your data without manual prep. In seconds, you can build custom dashboards with charts, tables, and KPIs; ask follow-up questions about trends, anomalies, and performance; and set filters to drill into specifics. Visuals refresh in real time as underlying data changes, while built-in anomaly detection flags unexpected shifts, and automated insights help you stay ahead of evolving metrics. All of this lives in a single, queryable workspace, no more juggling multiple tools or cleaning spreadsheets, backed by enterprise-grade encryption, granular access controls, and compliance with GDPR and CCPA.

Querri is an AI-powered data analytics platform designed to make data collaboration effortless by enabling users to connect, clean, analyze, and visualize data all in one place. It features a natural-language interface that lets you ask questions in plain English and instantly get visual answers. It also includes automated data cleansing and ingestion tools that handle messy or disparate files (CSV, Excel, JSON, Parquet) and cloud-storage sources (Google Drive, OneDrive, Dropbox), joining and reformatting them so you can start analyzing without delay. A drag-and-drop dashboard builder enables the quick creation of shareable reports, while built-in integrations cover spreadsheets and business apps (Excel, Smartsheet, QuickBooks, Airtable, among others). Querri offers white-label capabilities so you can embed or brand the analytics engine within your own product.

Google Colab is a free, hosted Jupyter Notebook service that provides cloud-based environments for machine learning, data science, and educational purposes. It offers no-setup, easy access to computational resources such as GPUs and TPUs, making it ideal for users working with data-intensive projects. Colab allows users to run Python code in an interactive, notebook-style environment, share and collaborate on projects, and access extensive pre-built resources for efficient experimentation and learning. Colab also now offers a Data Science Agent automating analysis, from understanding the data to delivering insights in a working Colab notebook (Sequences shortened. Results for illustrative purposes. Data Science Agent may make mistakes.)

Coreworks is an AI-native analytics platform designed for finance and operations teams that transforms raw business data into complete, production-ready outputs such as reports, financial models, and presentations. It acts as an “AI SuperAnalyst,” using specialized agents to connect directly to data sources, including spreadsheets, ERP systems, CRM tools, and financial documents, and then automatically generate polished deliverables without manual assembly or cleanup. It allows users to interact with data using natural language, enabling them to query, compute, and build reports simply by describing what they need, eliminating the complexity of formulas, macros, or fragmented workflows. Coreworks produces fully finished outputs rather than drafts, ensuring that reports, decks, and analyses are ready to share immediately and aligned with existing company templates.

Embedded AI and rich 3D visualizations empower analysts to deliver transformational business strategies, never miss the critical insights in your data again. Virtualitics’ Intelligent Exploration empowers analysts with embedded AI-guided exploration, automatically surfacing insights that drive transformative action. Understand what you’re seeing with AI-guided exploration, explained in plain language so nothing gets missed. Drill into all the relevant data, no matter type or complexity, to discover key relationships in seconds. Increase engagement and understanding with rich 3D visualizations that bring data stories to life. Analyze data from new angles with 3D and VR data visualizations that make deciphering complex findings easier. Share strategic insight with annotated discoveries and clear explanations for all stakeholders.

Ardent (at tryardent.com) is an AI data engineer platform that builds, maintains, and scales data pipelines with minimal human effort. It lets users issue natural language commands, and the system handles implementation, schema inference, lineage tracking, and error resolution autonomously. Ardent’s ingestors come preconfigured for many common data sources and work “out of the box,” enabling connection to warehouses, orchestration systems, and databases in under 30 minutes. It supports debugging on autopilot by referencing web and documentation knowledge, and is trained on thousands of real engineering tasks to solve complex pipeline issues with zero intervention. It is engineered to handle production contexts, managing numerous tables and pipelines at scale, running parallel jobs, triggering self-healing workflows, monitoring and enforcing data quality, and orchestrating operations through APIs or UI.

RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation.