Alternatives to GoalfyData
Compare GoalfyData alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to GoalfyData in 2026. Compare features, ratings, user reviews, pricing, and more from GoalfyData competitors and alternatives in order to make an informed decision for your business.
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Domo
Domo
Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results. -
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Alation
Alation
The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data. -
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Databao
JetBrains
Databao is an AI-powered agentic analytics platform designed to help organizations connect databases, BI tools, documents, and spreadsheets into a governed semantic layer that enables reliable natural language querying and analytics. The platform allows technical and business users to ask questions in plain language and receive accurate, reproducible answers without relying on manual dashboard creation, SQL writing, or ad-hoc analytics requests. Databao includes open-source tools such as Context Engine, Data Agent, and an Analytics CLI that work together to generate semantic context from enterprise data sources, automate SQL generation, query multiple datasets, clean and visualize data, and orchestrate conversational analytics workflows. The platform supports local deployment within an organization’s environment and integrates with large language models to reduce SQL hallucinations, improve query accuracy, and streamline data workflows.Starting Price: Free -
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Genesis Computing
Genesis Computing
Genesis Computing provides an enterprise AI platform built around autonomous “AI data agents” that automate complex data engineering and analytics workflows across an organization’s existing technology stack. It introduces a new category of AI knowledge workers that operate as autonomous agents capable of executing full data workflows rather than simply suggesting code or analysis. These agents can research data sources, ingest and transform datasets, map raw data from source systems to structured analytical targets, generate and run data pipeline code, create documentation, perform testing, and monitor pipelines in production environments. By handling these tasks end-to-end, the platform reduces the manual workload typically required to build and maintain data pipelines and analytics infrastructure.Starting Price: Free -
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Precisely Data Integrity Suite
Precisely
Precisely Data Integrity Suite is a modular, interoperable cloud-based platform that provides a comprehensive set of services to ensure data is accurate, consistent, and enriched with meaningful context across an organization. It is designed as a unified solution that connects multiple data integrity capabilities, including data integration, data quality, data governance, data observability, geo addressing, spatial analytics, and data enrichment, all working together through a central Data Integrity Foundation. It enables businesses to break down data silos by building scalable data pipelines, monitoring data health to proactively detect anomalies, and governing data with visibility into lineage, policies, and relationships. It also enhances data usability by verifying, cleansing, and enriching datasets with additional contextual information, including location intelligence and curated external data sources, allowing organizations to uncover patterns. -
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CLAIRE
Informatica
Informatica’s CLAIRE AI is an enterprise-grade, metadata-driven artificial intelligence engine embedded within the Intelligent Data Management Cloud that automates and accelerates data management tasks to deliver accurate, trusted, and AI-ready data at scale. CLAIRE uses deep metadata insight to reduce manual effort, democratize access to data, and streamline processes across integration, quality, governance, master data management, and observability, supporting autonomous workflows with AI agents, natural language interaction, and proactive recommendations. It powers capabilities such as CLAIRE Agents, which independently plan, reason, and solve complex data challenges like discovery, pipeline generation, quality remediation, and lineage tracking; CLAIRE GPT, a conversational interface that lets users ask questions in natural language to discover, analyze, and execute data tasks; and CLAIRE Copilot, an AI assistant that provides contextual guidance and suggestions. -
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Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics. -
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Redpanda Agentic Data Plane
Redpanda Data
Redpanda is an enterprise data streaming platform designed to make AI agents safe, governed, and effective across all organizational data. Its Agentic Data Plane connects agents to data sources across cloud, on-prem, and hybrid environments without creating risk or chaos. Redpanda unifies live data streams and historical data into a single, queryable layer. Built-in governance ensures every agent action is authorized, logged, and auditable. The platform enables agents to retrieve exactly the data they need with full context. Redpanda records and replays all agent activity for transparency and debugging. It helps enterprises move from experimental AI to production-ready agentic systems. -
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Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency. -
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Bigeye
Bigeye
Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected. -
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DQLabs
DQLabs, Inc
DQLabs has a decade of experience in providing data related solutions to fortune 100 clients around data integration, data governance, data analytics, data visualization, and data science-related solutions. The platform has all the inbuilt features to make autonomous execution without any manual or configuration. With this AI and ML-powered tool, scalability, governance, and automation from end to end are possible. It also provides easy integration and compatibility with other tools in the data ecosystem. With the use of AI and Machine Learning, the decision is made possible in all aspects of data management. No more ETL, workflows, and rules – leverage the new world of AI decisioning in data management as the platform learns and reconfigures rules automatically as business strategy shifts and demands new data patterns, trends. -
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Collibra
Collibra
With a best-in-class catalog, flexible governance, continuous quality, and built-in privacy, the Collibra Data Intelligence Cloud is your single system of engagement for data. Support your users with a best-in-class data catalog that includes embedded governance, privacy and quality. Raise the grade, by ensuring teams can quickly find, understand and access data across sources, business applications, BI and data science tools in one central location. Give your data some much-needed privacy. Centralize, automate and guide workflows to encourage collaboration, operationalize privacy and address global regulatory requirements. Get the full story around your data with Collibra Data Lineage. Automatically map relationships between systems, applications and reports to provide a context-rich view across the enterprise. Hone in on the data you care about most and trust that it is relevant, complete and trustworthy. -
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Ataccama ONE
Ataccama
Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data. -
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Deducta
Deducta
Deducta is a data intelligence platform that transforms fragmented, messy spend and ERP data into a unified, structured decision foundation so organizations can uncover hidden value, prioritize opportunities, and drive better procurement decisions at scale. It automatically ingests raw exports from ERP and accounts payable systems, cleans and standardizes 100% of spend data, and consolidates it into a single source of truth across business units, entities, and categories without requiring any changes to existing processes or systems. Deducta then applies analytics and explainable AI logic to reveal savings opportunities, supplier overlaps, inefficiencies, and negotiation levers with prioritized, actionable recommendations that align with governance and internal standards. Designed for speed and clarity, it delivers initial insights within minutes and full structured analysis in hours, enabling teams to act rapidly on value-creation opportunities. -
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Ajelix
Ajelix
Ajelix is an agentic AI chat that autonomously executes projects from simple instructions. Forget session resets, your data, context, and history persist in a collaborative workspace for seamless reuse, sharing, and embedding into workflows. Finance, ops, and marketing leaders deploy it to generate ready-to-use outputs: interactive dashboards, standalone apps, polished reports, and automated workflows. Upload massive datasets (1GB spreadsheets, CSVs, 20+ sources), then command autonomous agents to build weekly KPI trackers, revenue forecasts, inventory optimizers, or campaign analyzers. Receive complete, leadership-ready deliverables, not just insights. Our "thinking mode" handles multi-step reasoning, while agentic execution previews and deploys interactive assets. Every output becomes a reusable, schedulable template for teams. Founded in 2022 by Arturs (CEO) and Agnese (COO), Ajelix bootstrapped to 300K+ users worldwide via customer demand. We bridge data overload to leadershipStarting Price: $20 per month -
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Atlan
Atlan
The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive. -
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SplineCloud
SplineCloud
SplineCloud is an open knowledge management platform designed to facilitate the discovery, formalization, and exchange of structured and reusable knowledge in science and engineering. It enables users to organize data into structured repositories, making it findable and accessible. The platform offers tools such as an online plot digitizer for extracting data from graphs and an interactive curve fitting tool that allows users to define functional relationships in datasets using smooth spline functions. Users can also reuse datasets and relations in their models and calculations by accessing them directly through the SplineCloud API or by utilizing open source client libraries for Python and MATLAB. The platform supports the development of reusable engineering and analytical applications, aiming to reduce redundancy in design processes, preserve expert knowledge, and facilitate better decision-making. -
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Anyverse
Anyverse
A flexible and accurate synthetic data generation platform. Craft the data you need for your perception system in minutes. Design scenarios for your use case with endless variations. Generate your datasets in the cloud. Anyverse offers a scalable synthetic data software platform to design, train, validate, or fine-tune your perception system. It provides unparalleled computing power in the cloud to generate all the data you need in a fraction of the time and cost compared with other real-world data workflows. Anyverse provides a modular platform that enables efficient scene definition and dataset production. Anyverse™ Studio is a standalone graphical interface application that manages all Anyverse functions, including scenario definition, variability settings, asset behaviors, dataset settings, and inspection. Data is stored in the cloud, and the Anyverse cloud engine is responsible for final scene generation, simulation, and rendering. -
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Inflectiv
Inflectiv
Inflectiv is a data platform that converts raw files into structured datasets designed for AI agents and automation. Users can upload PDFs, documents, spreadsheets, JSON files, and websites. Inflectiv automatically structures this information so it can be queried through APIs, SDKs, or built-in chat agents. Instead of parsing unstructured documents, AI agents work directly with datasets that support filtering, querying, and reliable responses. Inflectiv supports building Q&A chatbots, Discord and Telegram bots, internal knowledge assistants, and dataset-powered applications. Datasets can be kept private, shared with teams, or published to the marketplace for others to use. Creators retain full ownership of their data and control access, permissions, and monetization. The platform is suitable for both technical and non-technical users who want to turn existing knowledge into reusable AI-ready intelligence without custom ingestion pipelines.Starting Price: $29.99 -
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Actian AI Analyst
Actian
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. -
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QDeFuZZiner
QDeFuZZiner
Project is basic entity in QDeFuZZiner software. Each project contains definition of two source datasets to be imported and analyzed (so-called "left dataset" and "right dataset"), as well as variable number of corresponding solutions, which are stored definitions of how to perform fuzzy match analysis. On creation, each project is assigned unique project tag. During raw data importing to server, corresponding input tables get that tag appended in their name. This way, imported tables are always tagged by the project name, which ensures their uniqueness. During importing and also later on, during solutions creation and execution, QDeFuZZiner is creating various indexes on the underlying PostgreSQL database, which facilitate fuzzy data matching. Datasets are imported from source spreadsheet (.xlsx, .xls, .ods) or CSV (comma separated values) flat files to server database, where corresponding left and right database tables are then created, indexed and processed. -
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Quickly prepare data for trusted insights throughout the organization. Data and business analysts spend too much time cleaning data instead of analyzing it. Talend Data Preparation provides a self-service, browser-based, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets. Our intuitive UI and self-service data preparation and curation functionality make it possible for anyone to do data profiling, cleansing, and enriching in real time. Users can share preparations and curated datasets, and embed data preparations into batch, bulk, and live data integration scenarios. Talend lets you turn ad-hoc data enrichment and analysis jobs into fully managed, reusable processes. Operationalize data preparation from virtually any data source, including Teradata, AWS, Salesforce, and Marketo, always using the latest datasets. Talend Data Preparation puts data governance in your hands.
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Quantera.ai
Quantera.ai
Quantera.ai is an AI-powered financial research platform that automates equity analysis and generates verified, data-driven insights from official filings and large datasets to help users work faster and make better investment decisions. It is built to accelerate workflows for investment banks, private equity firms, management consultants, analysts, and asset managers by using autonomous AI agents to extract, analyze, and summarize complex financial data such as balance sheets, income statements, and earnings reports, all within a unified interface, significantly reducing the time needed to generate initial reports and identify trends, risks, and opportunities. It processes official documents and structured data quickly, provides comprehensive company metrics, supports competitive market analysis, and offers tools for trend mapping and deal investigation, preserving relationships between data points and maintaining full citation traceability for quality assurance and compliance. -
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DataTrust
RightData
DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets. -
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Tuning Engines
CerebrixOS
Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform. -
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Cloudera
Cloudera
Manage and secure the data lifecycle from the Edge to AI in any cloud or data center. Operates across all major public clouds and the private cloud with a public cloud experience everywhere. Integrates data management and analytic experiences across the data lifecycle for data anywhere. Delivers security, compliance, migration, and metadata management across all environments. Open source, open integrations, extensible, & open to multiple data stores and compute architectures. Deliver easier, faster, and safer self-service analytics experiences. Provide self-service access to integrated, multi-function analytics on centrally managed and secured business data while deploying a consistent experience anywhere—on premises or in hybrid and multi-cloud. Enjoy consistent data security, governance, lineage, and control, while deploying the powerful, easy-to-use cloud analytics experiences business users require and eliminating their need for shadow IT solutions. -
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Monte Carlo
Monte Carlo
We’ve met hundreds of data teams that experience broken dashboards, poorly trained ML models, and inaccurate analytics — and we’ve been there ourselves. We call this problem data downtime, and we found it leads to sleepless nights, lost revenue, and wasted time. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value. You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data. -
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Anomalo
Anomalo
Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds. You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem. -
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Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
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OvalEdge
OvalEdge
OvalEdge is a cost-effective data catalog designed for end-to-end data governance, privacy compliance, and fast, trustworthy analytics. OvalEdge crawls your organizations’ databases, BI platforms, ETL tools, and data lakes to create an easy-to-access, smart inventory of your data assets. Using OvalEdge, analysts can discover data and deliver powerful insights quickly. OvalEdge’s comprehensive functionality enables users to establish and improve data access, data literacy, and data quality.Starting Price: $1,300/month -
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CData Connect AI
CData
CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports. -
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Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month -
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Reltio
Reltio
The digital economy requires organizations to be responsive and have a master data management platform that is highly scalable and supports hyper-personalization and real-time operations. Reltio Connected Data Platform is the only cloud-native data management platform that supports billions of customer profiles, enriched with thousands of attributes, relationships, transactions, and interactions from hundreds of data sources. Reltio powers enterprise-class mission-critical applications to operate 24/7 with thousands of internal and external users. Reltio Connected Data Platform scales seamlessly to deliver elastic performance and supports the throughput that enterprises need for any operational or analytical use case. Innovative polyglot data storage technology provides an unprecedented agility to add or remove data sources or attributes without any downtime. The Reltio platform is built on the foundation of master data management (MDM) and enriched with graph technology. -
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Bluenote
Bluenote
Bluenote is an agentic AI software designed to help life sciences companies accelerate their regulatory submissions and documentation workflows, boosting productivity by automating critical tasks with enterprise-grade security and proven accuracy. It generates first drafts of scientific, clinical, and regulatory documents instantly, aligned with templates, standard operating procedures, and global guidelines, with built-in verification and traceability. It includes an AI assistant to refine data presentations, format datasets and tables, write figure captions, and run gap analyses. Bluenote’s workflow builder and specialized agents automate repetitive, multi-step processes so scientists and subject matter experts can focus on innovation, and its search tools let users explore internal datasets quickly to surface insights and reduce duplication. It also offers translation of technical and regulatory content while preserving formatting and glossary use. -
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Mozilla Data Collective
Mozilla
Mozilla Data Collective is a platform built to rebuild the AI-data ecosystem by putting communities at its center. It gives data-creators and stewards the power to share datasets on their own terms, retaining ownership and controlling who accesses their data and under what conditions. Users can upload datasets, choose licenses (such as Creative Commons or bespoke terms), set access rules, require compensation or recognition, and govern datasets as individuals, cooperatives, or trusts. The platform emphasises ethical stewardship, transparency, and community agency, challenging extractive models of data harvesting and enabling more equitable participation. It hosts more than 300 high-quality global datasets created by and for communities, covers a wide range of use-cases (for example, multilingual speech-data collections), and makes developer-friendly tools available (such as a public API) so datasets can be integrated into applications. -
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data²
data²
data² is an AI-powered enterprise analytics and decision-intelligence platform designed to unify fragmented data sources and generate transparent, explainable insights for complex operational environments. It is built around explainable AI (eXAI), which allows organizations to understand not only what an AI model predicts but also why it reached a particular conclusion, providing traceable evidence behind each recommendation. Its flagship platform, reView, aggregates data from multiple systems across an organization and transforms it into a unified intelligence framework where relationships between datasets can be analyzed and visualized. This approach allows users to rapidly interpret large and complex datasets while maintaining full traceability back to the original sources of information. It emphasizes “hallucination-resistant” AI, meaning that conclusions are grounded in verifiable data rather than opaque model outputs. -
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CyCraft XecGuard
CyCraft
XecGuard is CyCraft’s LLM Firewall for trustworthy, agentic AI, designed to protect enterprise AI systems from prompt injection, jailbreak, prompt extraction, data leakage, unsafe outputs, and agentic workflow risks. Built on CyCraft’s red teaming and blue teaming experience across government, finance, and high-tech manufacturing, XecGuard goes beyond model-level defenses by combining AI guardrails, cybersecurity controls, compliance protection, and risk response strategies for real-world enterprise AI adoption. It is positioned as a plug-and-play LoRA security module that can strengthen LLM defenses without requiring changes to the underlying model architecture, helping teams add protection quickly while preserving performance. XecGuard is built on proprietary security datasets and multi-stage fine-tuning techniques, enabling LLMs to better resist adversarial prompts, malicious manipulation, and attempts to extract protected instructions or sensitive information. -
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Astera Centerprise
Astera Software
Astera Centerprise is a complete on-premise data integration solution that helps extract, transform, profile, cleanse, and integrate data from disparate sources in a code-free, drag-and-drop environment. The software is designed to cater to enterprise-level data integration needs and is used by Fortune 500 companies, like Wells Fargo, Xerox, HP, and more. Through process orchestration, workflow automation, job scheduling, instant data preview, and more, enterprises can easily get accurate, consolidated data for their day-to-day decision making at the speed of business. -
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Multimodal
Multimodal
Multimodal builds and manages secure, integrated, and tailored AI automation for complex workflows in financial services. Our enterprise-grade AI agents are trained on company data for greater precision and work together as your digital workforce. Our AI Agents process documents, query databases, power chatbots, make decisions, and generate reports. They automate end-to-end workflows and self-learn to improve over time. Unstructured AI is an Extract, Transform, Load (ETL) layer to process complex, unstructured documents for RAG or AI applications. Document AI is trained on your schema to extract, label, and organize data from loan applications, claims, PDF reports, and more. Conversational AI serves as your in-house chatbot that accesses unstructured internal data to provide customer and employee support. Database AI accesses company databases to answer queries, interpret datasets, and provide actionable insights. -
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Octopos
Octopos
Octopos is a data governance and data mesh platform that enables large enterprises to discover, catalog, and manage data assets across distributed environments while ensuring compliance, security, and business context are preserved. It provides automated metadata harvesting and intelligent classification so organizations can build a unified enterprise data catalog that includes business terms, policies, and lineage, giving teams a clear, trustworthy view of where data comes from, how it’s used, and who owns it. It also offers tools for automated data quality monitoring, impact analysis, and collaborative workflows that help data stewards and engineers remediate issues quickly and maintain reliable datasets. Octopos supports policy enforcement by unifying technical, business, and compliance requirements into rule sets that can be applied consistently across cloud, on-premises, and hybrid architectures, reducing risk and accelerating analytics projects. -
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Miora
Miora
Miora is a personal AI assistant and AI creative studio designed to help users create, manage, and reuse intelligent assistants instead of repeatedly typing the same prompts. It is built around AI agents that understand context, reason through problems, call tools on their own, and work as reusable assistants for ongoing creative and productivity workflows. Rather than functioning as a one-off chatbot, Miora is positioned as a persistent AI workspace where users can save instructions, build specialized assistants, and return to them whenever they need help with recurring tasks. Its agent-based approach is meant to improve efficiency by letting users define how an assistant should think, respond, and support their work over time. Miora can support creative workflows by helping users organize ideas, generate content, refine outputs, and maintain continuity across different tasks or projects. -
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Action Agent
WRITER
Action Agent is an autonomous AI with enterprise‑grade controls that reasons, runs code, and executes tasks across your data and systems without manual prompting. It lets you build custom agents with shared tools for IT and business teams, activate them via a unified interface, and supervise performance at scale with governance and monitoring features. By ingesting large data files, the agent can analyze complex datasets and generate charts, graphs, and presentations; draw insights from competitive landscapes and research; and create ready‑to‑use outputs based on high‑level instructions. Action Agent consistently ranks #1 on GAIA Level 3 and Computer Use benchmarks, demonstrating proficiency in web search and scraping, data analysis and visualization, browser and system navigation, task orchestration, file generation, and code execution. A forthcoming library of 80 + connectors will ground its autonomy in real workflows, integrating with core enterprise systems.Starting Price: $29 per month -
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Amazon Athena
Amazon
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning. -
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Gigasheet
Gigasheet
Gigasheet uses AI to turn healthcare price transparency data into actionable market intelligence. The platform processes Transparency in Coverage datasets at scale and benchmarks payer and provider rates to reveal outliers, savings opportunities, and competitive insights. Users can combine transparency data with their own claims, contract, or network information in a spreadsheet-style interface built for large datasets. Gigasheet’s AI agent generates reports, dashboards, and executive summaries that help teams compare pricing, evaluate networks, and make informed contracting decisions without complex setup or external tools. -
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kubbi
kubbi
kubbi is a secure handoff layer for AI agents that enables the safe transfer of data, files, and execution results between different systems, agents, or humans through temporary, encrypted claim links. Instead of passing sensitive information directly through workflows, prompts, or logs, kubbi allows a producer to create a payload containing content or bundled files, assign a time-to-live, and generate a unique claim URL that can be shared with the next actor in the process. The consumer can then retrieve the payload on their own schedule, after which the data can expire automatically or be permanently destroyed based on configured retrieval limits. This approach reduces exposure of sensitive data across systems and prevents it from being logged, cached, or replayed unintentionally. kubbi supports multiple use cases such as transferring configuration files, datasets, reports, tokens, and other transient or sensitive data that should not remain in persistent systems.Starting Price: $19 per month -
46
Data Donkee
Data Donkee
Data Donkee is an AI-powered web extraction platform that enables users to collect structured data from websites using natural language instead of traditional coding. It centers on an AI Web Agent that allows users to describe their data requirements in plain English and optionally define the desired output using JSON schema, after which the platform automatically builds a custom scraper. It is designed to eliminate common web scraping challenges such as maintaining fragile code, handling constantly changing websites, and scaling data collection across large or complex sources. It emphasizes consistent and reliable extraction, aiming to minimize inaccurate results while supporting dynamic site structures and large datasets. Its workflow is streamlined into three main steps: users describe the data they need, the AI generates the extraction logic, and the platform delivers clean, structured data ready for analysis or integration. -
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IBM watsonx.data integration is a data integration platform designed to help organizations transform raw data into AI-ready data at scale. The platform enables data teams to build, manage, and optimize data pipelines across multiple environments, including on-premises systems and hybrid or multi-cloud infrastructures. With a unified control plane, watsonx.data integration supports multiple integration styles such as batch processing, real-time streaming, and data replication within a single solution. The platform also offers no-code, low-code, and pro-code development options, allowing both technical and non-technical users to design and manage data pipelines efficiently. By simplifying data integration workflows and reducing reliance on multiple tools, watsonx.data integration helps organizations deliver reliable data for analytics and AI applications.
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48
AgentKit
OpenAI
AgentKit is a unified suite of tools designed to streamline the process of building, deploying, and optimizing AI agents. It introduces Agent Builder, a visual canvas that lets developers compose multi-agent workflows via drag-and-drop nodes, set guardrails, preview runs, and version workflows. The Connector Registry centralizes the management of data and tool integrations across workspaces and ensures governance and access control. ChatKit enables frictionless embedding of agentic chat interfaces, customizable to match branding and experience, into web or app environments. To support robust performance and reliability, AgentKit enhances its evaluation infrastructure with datasets, trace grading, automated prompt optimization, and support for third-party models. It also supports reinforcement fine-tuning to push agent capabilities further.Starting Price: Free -
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Informatica Intelligent Data Management Cloud
Informatica
Our AI-powered Intelligent Data Platform is the industry's most comprehensive and modular platform. It helps you unleash the value of data across your enterprise—and empowers you to solve your most complex problems. Our platform defines a new standard for enterprise-class data management. We deliver best-in-class products and an integrated platform that unifies them, so you can power your business with intelligent data. Connect to any data from any source—and scale with confidence. You’re backed by a global platform that processes over 15 trillion cloud transactions every month. Future-proof your business with an end-to-end platform that delivers trusted data at scale across data management use cases. Our AI-powered architecture supports integration patterns and allows you to grow and evolve at your own speed. Our solution is modular, microservices-based and API-driven. -
50
Paradigm
Paradigm
Paradigm is an AI-powered workspace designed to automate research, data enrichment, and decision-making workflows. It allows users to import data from spreadsheets, CRMs, or APIs and enhance it using AI agents. These agents can gather relevant information, analyze datasets, and generate actionable insights in real time. The platform enables collaboration by bringing teams and data into a single unified environment. By combining automation with structured data workflows, Paradigm helps eliminate manual research and improve productivity.
