Alternatives to Modern DataOS
Compare Modern DataOS alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Modern DataOS in 2026. Compare features, ratings, user reviews, pricing, and more from Modern DataOS competitors and alternatives in order to make an informed decision for your business.
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DataHub
DataHub
DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. -
2
SAP HANA Cloud
SAP
SAP HANA Cloud is a fully managed in-memory cloud database as a service (DBaaS). As the cloud-based data foundation for SAP Business Technology Platform, it integrates data from across the enterprise, enabling faster decisions based on live data. Build data solutions with modern architectures and gain business-ready insights in real-time. As the data foundation for SAP Business Technology Platform, the SAP HANA Cloud database offers the power of SAP HANA in the cloud. Scale to your needs, process business data of all types, and perform advanced analytics on live transactions without tuning for fast, improved decision-making. Connect to distributed data with native integration, develop applications and tools across clouds and on-premise, and store volatile data. Tap business-ready information by creating one source of truth and enable security, privacy, and anonymization with enterprise reliability. -
3
Cube
Cube Dev
Cube is a platform that provides a universal semantic layer to simplify and unify enterprise data management and analytics. By transforming how data is managed, Cube eliminates the need for inconsistent models and metrics, delivering trusted data to users while making it AI-ready. This platform helps organizations scale their data infrastructure by integrating disparate data sources and creating consistent metrics that can be used across teams. Cube is designed for enterprises looking to enhance their analytics capabilities, make their data accessible, and power AI-driven insights with ease. -
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Kater.ai
Kater.ai
Kater is built for data professionals and data inquisitors. All organized data products are immediately usable by anyone who has a data question, without knowing a lick of SQL. Kater aims to bridge the ownership of data across all business domains in your company. Butler securely connects to your data warehouse's metadata and objects to help you code, discover data, and so much more. Optimize your data for AI with automatic intelligent labeling, categorization, and data curation. We help you define your semantic layer, metric layer, and general documentation. Validated answers are stored in the query bank for smarter, more accurate responses. -
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QuickLaunch Analytics
QuickLaunch Analytics
QuickLaunch Analytics is an enterprise data analytics platform that helps organizations turn fragmented data from ERP, CRM, financial, HR and operational systems into a unified, governed analytics ecosystem with faster, business-ready insights; rather than building analytics infrastructure from scratch, it provides a Foundation Pack that includes automated data pipelines, a cloud-native data lakehouse and Power BI semantic models so raw enterprise data can be integrated, cleaned, and governed for analytics, and Application Packs that layer pre-built, application-specific intelligence and production-ready semantic models tailored to systems like JD Edwards, Viewpoint Vista, NetSuite, Salesforce and others to decode complex data structures into business-friendly metrics and dashboards; the platform accelerates time-to-insight from months/years to weeks with standardized metrics and reports, supports cross-application analysis and self-service BI, and uses modern technologies. -
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Anzo
Cambridge Semantics
Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand. -
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Codd AI
Codd AI
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 toolsStarting Price: $25k per year -
8
Reqode
Almware ltd.
Reqode is a structured context layer designed for AI-assisted software engineering. It bridges the gap between product specifications, architecture, and source code — ensuring alignment across teams and AI systems throughout the development lifecycle. As organizations adopt LLMs and AI coding agents, a new challenge emerges: context drift. Requirements evolve, code diverges from specifications, and AI-generated output gradually loses connection to product intent. Reqode solves this by introducing a structured product model that serves as a shared, machine-readable source of truth for both humans and AI. With Reqode, teams can formalize domain logic, requirements, and architecture into a consistent context layer that AI tools can reliably use for code generation, analysis, and refactoring. This enables scalable AI adoption without sacrificing system integrity or traceability. Key benefits: - Structured, AI-ready product context - Alignment between specs, architecture, and codStarting Price: $15/month/user -
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GoodData.AI
GoodData.AI
GoodData.AI is an AI-ready analytics platform that helps organizations turn data into actionable insights through business intelligence, embedded analytics, and governed semantic modeling. It enables businesses to build dashboards, AI-powered applications, and intelligent workflows using a composable architecture designed for enterprise environments. The platform provides a centralized semantic layer that ensures consistent business logic across reports, analytics, AI agents, and embedded experiences. GoodData supports cloud and on-premises deployments while integrating with modern data ecosystems and enterprise applications. It also includes AI capabilities for conversational analytics, automation, decision support, and custom agent development. With enterprise-grade security, compliance certifications, and extensive developer tools, GoodData is designed to help organizations modernize their analytics infrastructure for the AI era. -
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Strategy Mosaic
Strategy Software
Strategy Mosaic is an AI-powered universal semantic data layer and analytics foundation that sits on top of an organization’s existing data systems to unify, govern, and accelerate access to business data for analytics, AI, and reporting without costly restructuring. It creates a single source of truth with consistent business definitions, metrics, and security policies across tools and sources, harmonizing data from hundreds of systems so insights are reliable and comparable everywhere. Built with AI-assisted data modeling (Mosaic Studio), Mosaic automates data preparation, cleansing, enrichment, and modeling, reducing the time and effort needed to build robust data products and semantic models. Its universal connectors let users access governed data via SQL, REST, Python, or through popular BI and productivity tools like Power BI, Tableau, Excel, and Google Sheets, while an in-memory acceleration engine delivers fast query performance across diverse sources. -
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Alkemi
Alkemi
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. -
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Timbr.ai
Timbr.ai
Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.Starting Price: $599/month -
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Stardog
Stardog Union
With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understand any data interrelationship, and run federated queries to speed time to insight. Stardog offers the most advanced graph data virtualization and high-performance graph database — up to 57x better price/performance — to connect any data lakehouse, warehouse or enterprise data source without moving or copying data. Scale use cases and users at lower infrastructure cost. Stardog’s inference engine intelligently applies expert knowledge dynamically at query time to uncover hidden patterns or unexpected insights in relationships that enable better data-informed decisions and business outcomes.Starting Price: $0 -
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Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management. IBM Watson® Knowledge Catalog is a data catalog tool that powers intelligent, self-service discovery of data, models and more. The cloud-based enterprise metadata repository activates information for AI, machine learning (ML) and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside. Organize, define and manage enterprise data to provide the right context and drive value across needs like regulatory compliance and data monetization. Protect data, manage compliance and audit-readiness, and maintain client trust with active policy management and dynamic masking of sensitive data. Consume and transform data at the speed of business with intuitive dashboards and flows that can be shared with peers or analytics tools.Starting Price: $300 per instance
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Solid
Solid
Solid is an AI-powered data intelligence platform designed to make enterprise data reliable and ready for use across AI, analytics, and “chat with your data” experiences. It automatically discovers, documents, and builds business-aware semantic models from a company’s existing data, queries, and tools, creating a consistent foundation that AI systems can trust. It analyzes how data is actually used within the organization and generates validated tables, metrics, relationships, and SQL logic aligned with real business definitions. Through products such as Solid Build and Solid Analyze, teams can automate semantic modeling, translate natural-language questions into production-ready SQL, and keep models continuously updated as data changes. It emphasizes transparency and human oversight, allowing data teams to review, edit, and validate AI-generated models rather than relying on opaque automation. -
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1Platform
Polestar Analytics
1Platform is a data engineering, analytics, and AI/ML platform that helps organizations unify, prepare, and analyze data to generate business-ready intelligence and automated insights; it blends advanced data engineering with generative AI, autonomous agents, and business intelligence capabilities so enterprises can move from raw data to measurable outcomes and strategic decisions. It supports end-to-end data workflows, including data orchestration, analytics plays, AI assistants (agentic and generative), and pre-built machine learning models that accelerate insights across sales, supply chain, finance, and operations while making data governance, integration, and readiness easier. Polestar’s ecosystem also includes tools for AI-led decision support and analytics dashboards, and it emphasizes scalable, cloud-ready infrastructure that connects with major hyperscalers and partners like Databricks to build an AI-ready data foundation. -
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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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Entropy Data
Entropy Data
Entropy Data is a data product marketplace for trusting data products with data contracts, helping data consumers discover the data they need for their business case through a clear user interface, semantic search, and filter capabilities fully optimized for data products. It supports the full lifecycle of data access as self-service: consumers can request access, owners can approve or reject, and integrations can automate permissions in the data platform. It is organized around Marketplace, Studio, and Governance, giving data consumers a place to discover and request data products, data product owners and developers a space to add, edit, and monitor products, and stewards, managers, and platform teams a way to define cross-cutting policies and gain platform insights. Entropy Data manages data products, data contracts, access requests, business definitions, assets, domains, teams, source systems, example data, events, certifications, change management, notifications, etc.Starting Price: $109 per month -
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DataBrain
DataBrain Labs, Inc.
DataBrain is an AI-powered embedded analytics platform for modern SaaS companies. It helps product and engineering teams build and embed customer-facing dashboards, reports, metrics, and self-service analytics directly inside their applications without building analytics infrastructure from scratch. With DataBrain, teams can create white-label analytics experiences, embed dashboards using flexible SDKs, APIs, and UI kits, and deliver interactive reporting to customers faster. The platform supports multi-tenant analytics, dashboard customization, governed access controls, semantic layer workflows, and AI-powered analytics for faster insight discovery.Starting Price: $999/month -
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Actian Data Intelligence Platform is a cloud-native, AI-ready solution designed to transform how organizations discover, understand, govern, and trust their data across complex environments. It unifies capabilities such as data cataloging, metadata management, data governance, lineage, observability, and semantic context into a single platform, creating a central, trusted layer for enterprise data. Powered by a federated knowledge graph, it builds intelligent relationships between data assets, enabling the system to automatically understand context, deliver relevant search results, and provide recommendations for data use. This approach allows both technical and business users to easily find and work with trusted data, improving decision-making and operational efficiency. It continuously monitors data health, enforces governance policies, and generates automated trust signals, ensuring data remains accurate, compliant, and ready for analytics and AI applications.
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21
TickerTrends
TickerTrends
TickerTrends is a predictive intelligence platform for investors, built to generate leading indicators and forecasts that anticipate earnings and uncover hidden market opportunities. It works as a search engine of alternative data, allowing users to search for anything and instantly access comprehensive consumer alternative data for any company, product, or market trend. It aggregates and analyzes diverse data sources, including social media sentiment, web traffic patterns, app download metrics, consumer spending indicators, Google Trends, TikTok trends, ChatGPT trends, news sentiment, subreddit activity, podcast mentions, Amazon product data, SEO and domain traffic, and mobile app data. TickerTrends helps investors move beyond quarterly reporting by providing real-time intelligence on hundreds of companies through KPI forecasts, Metric Trackers, and signal updates that refresh continuously.Starting Price: $99 per month -
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Dragonboat
Dragonboat
Dragonboat is the Product Portfolio Layer for agentic enterprises to achieve product outcomes at AI speed and strategic cohesion. It brings together an elastic ontology-based foundation encoded with domain expertise, with a semantic layer actively maintained by ambient agents via contextual integrations across the enterprise toolstack for unified data and coordination. Product and portfolio apps powered by runtime intelligence give humans and agents access to the same live portfolio reality. Portfolio intelligence runs across the product operating graph, surfacing ripple effects, upstream and downstream impacts, and real-time recommendations grounded in portfolio logic, memory, and intent. Enabling executives, teams, and AI agents to reason, decide, and work together across strategy, investments, and PDLC with clarity, speed, and scale. Built by domain experts, adopted by enterprises including BBC, Cornerstone OnDemand, and U.S. Bank. Learn more at dragonboat.ioStarting Price: $69/month -
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MPS IntelliVector
Multipass Solutions
Extract business data from any printed or handwritten document, form, cheque, invoice, email or any other source. Automatically transform unstructured printed or handwritten customer data, into structured, digital, business-ready data. Export the processed business-ready data directly into enterprise systems, databases, LOBs, or business workflows. No matter how much digitization or automation is going on, paper is still used in businesses all over the world. Large companies and organizations still struggle with unorganized paper and digital documents clogging their workflows. Time and money are constantly spent on integrating automated solutions which, in the end, still require internal employees to participate in the processing, lowering overall work efficiency and multiplying processing costs. In the end, companies need to compromise and give up on cost-effectiveness, speed, accuracy or data confidentiality. -
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Imagia EVIDENS
Imagia
EVIDENS, our AI platform enables digital cohort discovery, research, collaboration, and insight sharing on hospital-wide data sets. Quickly annotate and link your data into AI-ready data sets. Quickly filter populations based on clinical outcomes or demographics. Filter populations with limitless keywords by training AI models to search with them. Explore and create criteria to identify cohorts with smart AI assistance. Quickly train AI models to automate analysis and categorize data into groups. Output AI-ready cohorts to test your study’s clinical hypothesis. Easily view the status and tasks for all your projects and collaborators. View and follow activity based on your research interests and projects. Use collaborative tools to work in parallel to create, train and validate AI models. -
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Match Data Pro
Match Data Pro
Match Data Pro is an intelligent data quality management tool designed to unify, cleanse, profile, match, deduplicate, and merge records from multiple files, databases, and systems with speed and precision. It provides advanced AI-ready fuzzy matching and configurable rule-based logic that detects duplicates and inconsistencies across large datasets, helping you fix errors, standardize formats, and create reliable golden records without coding. It supports comprehensive data profiling with key metrics to uncover quality issues before processing, powerful data cleansing tools to normalize and standardize information, and address verification capabilities to improve accuracy. Match Data Pro includes Senzing AI entity resolution and customizable matching algorithms that handle slight variations in data, high-performance processing that scales to millions of records, and project job automation with scheduling, reusable rules, and API integrations.Starting Price: $27 per month -
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Synaptic
Synaptic
We enable Private Equity and Venture Capital investors to leverage the power of alternative data for sourcing, tracking, and due diligence. Alternative data provides rich signals on the universe of private companies, solving the problem of sparse availability of financial or traditional data. The most effective way to unlock investment insights is to build a holistic view of companies by consolidating alternative datasets to analyze their performance. Credit card data, retention cohorts, and bank transaction data. Product ratings, Net Promoter Scores, and user reviews. Web and mobile activity across domains and devices. Find companies relevant to you with detailed query-based searches. Get performance signals on companies with multi-metric analysis. Use our AI-suggested peer comparison, or set up your own peer group for the companies you want to track. -
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DataFirst AI
Jade Global
DataFirst AI by Jade Global is a comprehensive platform that ensures your data is ready for AI success. Assess, enrich, and improve data quality across multiple domains to unlock actionable insights and drive business outcomes. Reduce risks, improve decision-making, and accelerate AI adoption with a structured, enterprise-grade approach. Key Features: - Multi-dimensional data assessment & maturity scoring - Gap analysis and readiness heatmaps - Automated data cleansing and enrichment - AI-ready data transformation Benefits: - Achieve up to 95%+ data quality - Reduce AI project failure risks - Enable faster, smarter AI implementations -
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Pubrio
Pubrio
Pubrio is the glocalized business data layer for AI and revenue teams. We connect 50+ localized business, people, and intent data sources into a single global graph, turning fragmented local signals into structured, AI‑ready market intelligence. Most platforms only see the visible 30% of the economy: well‑known companies concentrated in a few professional networks. Pubrio is built for the other 70% - the long tail of real‑world businesses and local champions that sit outside mainstream datasets. Through glocalization, we transform how market data is discovered, structured, and activated. Teams use Pubrio to power both human and autonomous workflows with a truer picture of the market. From outbound prospecting to AI agents orchestrating go‑to‑market motions, Pubrio provides the glocal business data foundation needed to find, understand, and engage customers that everyone else misses.Starting Price: $99/month -
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Coginiti
Coginiti
Coginiti, the AI-enabled enterprise data workspace, empowers everyone to get consistent answers fast to any business question. Accelerating the analytic development lifecycle from development to certification, Coginiti makes it easy for you to search and find approved metrics for your use case. Coginiti integrates all the functionality you need to build, approve, version, and curate analytics across all business domains for reuse, all while adhering to your data governance policy and standards. Data and analytic teams in the insurance, financial services, healthcare, and retail/consumer package goods industries trust Coginiti’s collaborative data workspace to deliver value to their customers.Starting Price: $189/user/year -
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Mindfuel
Mindfuel
Mindfuel empowers business and data teams to discover and prioritize the most impactful use cases by evaluating them against company goals and key metrics. Directly connect data and analytics products to business opportunities to enhance decision-making and streamline resource allocation, ensuring each product, from concept to initiative, demonstrates measurable value, and business impact. Create a culture of transparency and strategic foresight. Centralize all your resources for improved discovery and data product reuse, ensuring value generation, and visibility throughout the entire lifecycle from conception to adoption. -
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Coursica
Coursica
With many universities going fully remote, students may be considering taking a gap year. There will be far less opportunity to meet new friends, have new experiences, and to live in a dorm. In addition, many universities are not reducing their fees and tuition rates, meaning students are getting less value for their money. This means a gap year is attractive to students wanting to find more economical ways to learn and grow. OpenSesame has online courses that develop productive and admired workforces and is partnering with companies looking for skilled, business-ready interns. Today’s student is looking to advance their purpose by strengthening their skills. Our courses are created & curated to help you progress in your career. Get focused knowledge from the leaders in your industry and stay ahead of your peers. Gain access to paid internship opportunities with OpenSesame’s network of partners. -
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Oxen.ai
Oxen.ai
Oxen.ai is a collaborative data platform built to help teams manage, version, and operationalize machine learning datasets from initial curation through model deployment. At its core, the system provides a high-performance data version control engine optimized for large and complex datasets, allowing teams to version, branch, and share datasets, model weights, and experiments efficiently. It enables stakeholders across machine learning engineering, data science, product, and legal teams to review, edit, and collaborate on data within a unified workflow. Users can query, modify, and manage datasets through an intuitive web interface, command line tools, or a Python library, making it flexible for different technical workflows. Oxen.ai supports the full AI lifecycle by allowing teams to curate datasets, fine-tune models, and deploy them at scale while maintaining full ownership and traceability.Starting Price: $30 per month -
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Accuris
Accuris
Accuris is a leading provider of AI-powered digital engineering solutions, offering a suite of tools designed to streamline engineering workflows, enhance compliance, and accelerate innovation. Our flagship product, Engineering Workbench Professional, integrates over 2.8 million industry standards, codes, and specifications into a centralized platform, enabling engineers to access and apply critical information efficiently. Key features include AI-driven semantic search, Smart Compare for document version analysis, and micro-alerts for real-time updates on standards changes. Accuris Thread complements this by automating the extraction and management of requirements across the engineering lifecycle, enhancing traceability and collaboration. Goldfire, another core offering, utilizes AI to provide precise answers to technical questions by understanding and analyzing vast engineering data sets. -
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OneLayer Bridge
OneLayer
OneLayer Bridge is a Zero-Trust security and asset-management platform tailored for enterprise private 5G/LTE networks, offering comprehensive visibility, segmentation, and device control for connected assets across IoT, OT, and cellular domains. It provides real-time discovery and fingerprinting of all devices on private cellular networks, extending beyond traditional IT tools to include routers, hotspots, SIM-based assets and devices behind cellular NAT. The platform allows context-based segmentation and enforcement of policies to stop lateral movement, delivers analytics for connectivity, quality of service and performance metrics, and supports full lifecycle asset management with zero-touch onboarding, geofencing, and persistent tracking. OneLayer Bridge integrates with existing security stacks and cellular core infrastructure, bridging the gap between mobile packet cores and enterprise IT/OT systems. -
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Flikforge
Flikforge
Flikforge is an AI-native data management and licensing platform designed to make generative AI safe, compliant, and commercially viable across the entire content lifecycle. It connects data owners with AI developers by enabling assets to be registered, enriched, licensed, trained on, and monetized within a unified environment. It provides built-in provenance tracking and enforceable rights so every dataset and AI-generated output can be verified, audited, and legally cleared for use. Through tools such as metadata enrichment, automated contracts, and consent management, users can transform creative assets into machine-readable, AI-ready data while maintaining full ownership and control. Flikforge supports multiple asset types, including images, video, prompts, and fine-tuned models, assigning each a persistent AURA ID that tracks usage across training, generation, and publishing workflows. -
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Kyvos Semantic Layer
Kyvos Insights
Kyvos is a semantic layer for AI and BI. By standardizing how data is defined and understood, Kyvos gives organizations a single, consistent, business-friendly view of their entire data estate. The result: AI agents reason with governed context, BI tools report consistent metrics, and the business gets answers it can trust. Built for enterprise scale, Kyvos provides the speed, scale, and trust that production-grade AI and enterprise BI demand. It also maximizes analytics investments by reducing token consumption and cloud compute costs. -
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StoredIQ
Breakwater
StoredIQ for information governance, for legal, for policy management, and StoredIQ InstaScan. StoredIQ provides a holistic solution for addressing data management challenges relating to compliance, e-discovery, records management, storage optimization, and data migration. Robust electronic discovery (eDiscovery) process management from hold notification to identification, preservation, and collection. Intelligent file analysis tool that leverages automation and statistical sampling models to identify risk hot spots in unstructured cloud data. Helps eliminate information management risks by offering centralized retention controls to support your business and legal requirements. By providing an in-depth assessment of unstructured data across the enterprise and where it resides, Breakwater can help your organization implement business-ready data and drive your organization’s digital transformation. -
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Graphwise
Graphwise
Graphwise is an AI platform that helps businesses automate knowledge and trust their AI by turning fragmented data into a trusted semantic backbone. The all-in-one suite makes generative AI reliable and scalable by transforming data into AI-ready, context-rich assets, deploying intelligent agent-based systems, and delivering powerful AI applications on an integrated platform. Graphwise moves beyond simple data chunks with Precise GraphRAG, using a governed knowledge graph to ground every response in verified facts, eliminate hallucinations, and provide accurate, actionable answers. It combines automated modeling, high-performance graph technology, semantic search, recommendation, taxonomy and ontology management, data automation, graph-based text mining, and enterprise-ready GraphRAG workflows. It supports use cases such as technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management. -
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Cortellis
Clarivate
Unlock hidden insights in data using the Cortellis™ suite of life science intelligence solutions – so you can make better informed decisions along the entire R&D lifecycle. We’ve removed the hard work of finding, integrating, and analyzing data so you can focus on the critical decisions needed to get your products to market faster. Applying a unique depth, breadth and quality of data that is enriched with deep domain knowledge, industry understanding, and therapeutic expertise, Cortellis unlocks hidden insights to drive data-driven decisions that accelerate innovation. Get precise, actionable answers to your specific questions across the R&D lifecycle with the broadest and deepest sources of intelligence. Accelerate innovation with Cortellis as an indispensable part of your daily workflow. -
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GeminIQ
GeminIQ
GeminIQ is a fundamental research platform that pulls financial data directly from raw SEC EDGAR filings — no third-party aggregator in between. Every number stays traceable to its original XBRL tag, so what you see is what the company actually filed, not a normalized summary. Core features: Financial Statements spanning 17+ years of quarterly/annual filings; 50+ Calculated Metrics (ROIC, Free Cash Flow Per Share, Altman Z-Score, and more) computed from tagged filing data; Custom Tables for building reusable templates from specific line items; Interactive Visualizations for charting any metric over time; an Advanced Screener with 100+ filterable metrics and built-in presets (Buffett-Style, Magic Formula, Piotroski F-Score, etc.); Custom Watchlists; Insider Transaction tracking (Form 4); Institutional Ownership data (13F); and Price Variance/Earnings Reaction Heatmaps showing historical post-filing stock performance. New filings are processed within one business day of hitting EDGARStarting Price: $29/month billed annually -
41
evergreen
sa.global
evergreen is sa.global’s next-generation, cloud solution built specifically for project-based businesses like law firms, accounting firms, architecture, engineering, and construction management businesses, Advertising and marketing agencies, Contract Research Organizations, and IT Services firms to address the entire value chain. The solution works as a processing and transactional engine for core functions like opportunity lifecycle, project management, scheduling, forecasting, time and billing, revenue recognition, and onboarding. Built on the Microsoft Cloud Platform, evergreen integrates your data, business logic, and processes for efficient project, accounting, financial, and resource management. You can extend the capabilities of evergreen by leveraging our empower suite of solutions. What’s more, you can now accelerate the value gained from evergreen with sa.go!, our unique business-ready bundle of SaaS products and services. -
42
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 -
43
Beye
Beye
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. -
44
Muspell HDP
314e Corporation
Muspell HDP by 314e Corporation is a cloud-native, FHIR-native modern data warehouse built specifically for healthcare operators. It uses the FHIR standard at its core to integrate disparate data types, such as patient records, claims, and lab results, into a unified and standardized format, reducing complexity and cost associated with custom models. It is scalable, capable of handling data for tens of thousands to millions of patients while delivering high performance. It includes pre-built analytics dashboards and templates for healthcare metrics (such as HEDIS, eCQM, QIP), curated reference datasets (e.g., Hospital Price Transparency, NPPES), and managed ETL services that keep data fresh, near-real time. The user interface is designed for non-engineers to build charts, dashboards, and queries easily. Features also include AI-ready infrastructure (natural language queries, predictive analytics), and built-in compliance and security, including HIPAA and HITRUST standards. -
45
Basedash
Basedash
Basedash is an AI-native business intelligence platform that enables teams to build dashboards, charts, reports, and data insights using natural language instead of complex manual processes. The platform connects to data warehouses and hundreds of business applications, allowing users to analyze information from multiple sources in one centralized workspace. AI-powered dashboards, semantic metrics, and automated reporting help organizations generate trusted insights quickly while reducing the need for SQL expertise. Basedash includes a semantic layer that ensures metrics remain consistent across reports, helping teams make decisions using verified business data. Built-in security features such as encryption, role-based access control, SSO, SCIM, and SOC 2 compliance help organizations protect sensitive information. By combining AI, analytics, automation, and data integration into one platform, Basedash helps businesses turn raw data into actionable intelligence in minutes.Starting Price: $1000/month -
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Documentation.AI
Documentation.AI
Documentation.AI is an AI documentation platform designed to simplify the creation, publishing, and maintenance of technical, API, product, and software documentation. The platform combines intelligent authoring tools, semantic structuring, and automation to keep documentation consistent, accurate, and accessible. Teams can create structured content with reusable components, responsive layouts, and version control that integrates directly with Git. This ensures documentation evolves alongside code and product updates, reducing the risk of outdated or conflicting information. Interactive API documentation and playgrounds allow developers to explore and test endpoints, improving onboarding and adoption of services. Documentation.AI also features intelligent search with cited answers, transforming documentation into an interactive knowledge base for users. With support for AI-ready standards like llms.txt and Model Context Protocol, documentation becomes usable by both humans and AIStarting Price: $59/month -
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IBM Engineering Lifecycle Management (ELM) is a comprehensive end-to-end engineering solution that stands at the forefront of the market, seamlessly guiding you from requirements to systems design, workflow, and test management, extending the functionality of ALM tools for better complex-systems development. By adopting an end-to-end view across the entire product lifecycle, enabling a digital foundation for data traceability, you can more easily track changes to minimize risk and reduce costs. Conquer complexity from design to execution, unite teams through digital thread, leverage modelling and reuse, harness insights from automated reporting, and confidently operate at scale laying the foundation for innovation. The bi-directional data in the digital thread will enable functional, software, mechanical, and electrical engineering domains with a single source of truth.
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RightOrigins by CIED
CIED
RightOrigins is a supply chain intelligence platform leveraging agentic AI to streamline workflows and centralize data management. It consolidates product details, quality assurance documents, supplier information, ESG metrics, and compliance records into an AI-ready knowledge base. AI agents handle tasks like responding to information requests, sustainability questionnaires, audits, and regulatory documentation. The platform automates supplier data collection, reducing manual effort by directly gathering ESG and compliance information. Custom dashboards provide real-time insights, while automated alerts flag data issues. It generates sustainability reports and identifies risks across supply chain operations. RightOrigins adheres to GDPR and ISO 27001 standards, with privacy controls ensuring organizations retain full authority over their data. Flexible hosting options meet diverse security and jurisdictional needs. -
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BeaconBird
BeaconBird
BeaconBird helps businesses improve how AI platforms like ChatGPT, Gemini, Claude, and Google understand and recommend their websites. Through AI-readiness audits, structured optimization, and semantic website improvements, BeaconBird helps companies become more visible in the future of search.Starting Price: $250 (one time) -
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Propelo
Propelo
Find your high points and overcome hidden bottlenecks. Actionable insights to improve efficiency and agile velocity in every stage of your DevOps lifecycle. Connect data across Jira, Jenkins, GitHub, GitLab, Azure DevOps, SonarQube & many more. Software metrics and insights for agile velocity, quality, security and data hygiene. Customizable dashboards with the ability to roll up or drill down into details. Build high-quality products faster, deliver customer-centric outcomes. Improve data hygiene, drive process efficiency. Build a culture of collaboration and appreciation, improve retention. Monitor quality of requirements definition, acceptance criteria, agile sprint plans. Automate issue routing & task reminders, reduce unproductive wait times. Early risk warnings on sprint slips. Make decisions based on customer impact. Timely reminders to accelerate PR reviews & merges, improve velocity. Conditionally automate repeated task sequences, reducing cognitive overload.
