Best Artificial Intelligence Software for Snowflake - Page 6

Compare the Top Artificial Intelligence Software that integrates with Snowflake as of November 2025 - Page 6

This a list of Artificial Intelligence software that integrates with Snowflake. Use the filters on the left to add additional filters for products that have integrations with Snowflake. View the products that work with Snowflake in the table below.

  • 1
    Aleph

    Aleph

    Aleph

    Aleph is an AI-native FP&A platform that integrates data consolidation, spreadsheets, dashboards, and automated intelligence to streamline finance workflows. It connects to 150+ systems (ERP, HRIS/ATS, CRM, databases) using no-code tools to sync data in real time, transform raw imported data via mapping, combining tables, applying logic/calculations, and storing metrics. You can use Aleph as a web-based system, with spreadsheet add-ins, so existing models are preserved but powered by cleaner live data. It offers dashboards and drill-downs to spot variances, run reporting and close routines quickly, do forecasting and budget planning, model scenarios, do headcount planning, and visualize/share metrics across teams. Security is built in (SOC 2 Type II), compliance features are present, and the product is designed to give value quickly; clients report being up and running and producing reports in days or weeks.
  • 2
    Codd AI

    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 tools
    Starting Price: $25k per year
  • 3
    Tray.ai

    Tray.ai

    Tray.ai

    Tray.ai is an API integration platform that allows users to innovate, integrate, and automate organization with no developer resources needed. Tray.io enables users to connect their entire cloud stack on their own. With Tray.ai, users can easily build and streamline processes with a specifically designed visual workflow editor. Tray.io also empowers the users' workforce with automated processes. The intelligence powering the first iPaaS that everyone can use to complete business processes using natural language instructions. Tray.ai is a low-code automation platform designed for both non-technical and technical users to create sophisticated workflow automations that facilitate efficient data movement and actions across multiple applications. Our low-code builder and new Merlin AI transform the automation process by bringing together the power of flexible, scalable automation; support for advanced business logic; and native generative AI capabilities that anyone can use.
  • 4
    BryteFlow

    BryteFlow

    BryteFlow

    BryteFlow builds the most efficient automated environments for analytics ever. It converts Amazon S3 into an awesome analytics platform by leveraging the AWS ecosystem intelligently to deliver data at lightning speeds. It complements AWS Lake Formation and automates the Modern Data Architecture providing performance and productivity. You can completely automate data ingestion with BryteFlow Ingest’s simple point-and-click interface while BryteFlow XL Ingest is great for the initial full ingest for very large datasets. No coding is needed! With BryteFlow Blend you can merge data from varied sources like Oracle, SQL Server, Salesforce and SAP etc. and transform it to make it ready for Analytics and Machine Learning. BryteFlow TruData reconciles the data at the destination with the source continually or at a frequency you select. If data is missing or incomplete you get an alert so you can fix the issue easily.
  • 5
    Kraken

    Kraken

    Big Squid

    Kraken is for everyone from analysts to data scientists. Built to be the easiest-to-use, no-code automated machine learning platform. The Kraken no-code automated machine learning (AutoML) platform simplifies and automates data science tasks like data prep, data cleaning, algorithm selection, model training, and model deployment. Kraken was built with analysts and engineers in mind. If you've done data analysis before, you're ready! Kraken's no-code, easy-to-use interface and integrated SONAR© training make it easy to become a citizen data scientist. Advanced features allow data scientists to work faster and more efficiently. Whether you use Excel or flat files for day-to-day reporting or just ad-hoc analysis and exports, drag-and-drop CSV upload and the Amazon S3 connector in Kraken make it easy to start building models with a few clicks. Data Connectors in Kraken allow you to connect to your favorite data warehouse, business intelligence tools, and cloud storage.
    Starting Price: $100 per month
  • 6
    Pipedream

    Pipedream

    Pipedream

    The fastest way to integrate APIs and run code. Pipedream is a serverless integration and compute platform that makes it easy to connect apps and develop event-driven workflows. Event sources turn any API into a real-time event stream. Create event sources to listen for new Tweets, Github events, Airtable records, RSS items, webhook events and more. Inspect events in a human-friendly way, trigger Node.js workflows on every event, or consume events in your own app via API. Workflows are composed of Node.js code steps that run on every event. Write your own Node.js (and use any npm package) or reuse actions that scaffold popular APIs. Trigger via sources or a custom URL, email address, SDK code or schedule. Auth apps once, connect to those apps in any workflow. Pipedream supports OAuth and key-based auth, and handles the OAuth flow and token refresh for you. Just link accounts to steps and reference the relevant auth info in code.
    Starting Price: Free
  • 7
    Privacera

    Privacera

    Privacera

    At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.
  • 8
    Tonic

    Tonic

    Tonic

    Tonic automatically creates mock data that preserves key characteristics of secure datasets so that developers, data scientists, and salespeople can work conveniently without breaching privacy. Tonic mimics your production data to create de-identified, realistic, and safe data for your test environments. With Tonic, your data is modeled from your production data to help you tell an identical story in your testing environments. Safe, useful data created to mimic your real-world data, at scale. Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders. PII/PHI identification, obfuscation, and transformation. Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy. Advanced sub setting across diverse database types. Collaboration, compliance, and data workflows — perfectly automated.
  • 9
    Secuvy AI
    Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data.
  • 10
    OPAQUE

    OPAQUE

    OPAQUE Systems

    OPAQUE Systems offers a leading confidential AI platform that enables organizations to securely run AI, machine learning, and analytics workflows on sensitive data without compromising privacy or compliance. Their technology allows enterprises to unleash AI innovation risk-free by leveraging confidential computing and cryptographic verification, ensuring data sovereignty and regulatory adherence. OPAQUE integrates seamlessly into existing AI stacks via APIs, notebooks, and no-code solutions, eliminating the need for costly infrastructure changes. The platform provides verifiable audit trails and attestation for complete transparency and governance. Customers like Ant Financial have benefited by using previously inaccessible data to improve credit risk models. With OPAQUE, companies accelerate AI adoption while maintaining uncompromising security and control.
  • 11
    Peak

    Peak

    Peak

    A new decision intelligence system, putting AI in the hands of commercial leaders to drive great decision making. CODI, our Connected Decision Intelligence system, has been engineered by Peak to become a layer of intelligence that sits between your other systems, unleashing the power of your data for the first time. CODI enables you to quickly deploy AI solutions, harnessing the true potential of your data thanks to its unique full-stack features. It allows data science and data engineering teams to take full control of every aspect of building and deploying AI solutions, at speed and at scale. With CODI, AI projects move beyond being just experiments and become fully-deployed solutions that deliver real world value and results. Built on enterprise-grade infrastructure, CODI is capable of handling data at scale, and seamlessly integrates into existing tech stacks. Surface more insight and combine data from across your organization.
  • 12
    ScriptString

    ScriptString

    ScriptString

    Optimize your document knowledge and make critical decisions with confidence. Tired of manual processing, time constraints, budget pressures and shifting compliance requirements? Hassle free collection and integration of your cloud spend data in half the time at half the cost. Recommended cost savings and guidance to save more than 50% of total spend. Gain 360° visibility of your entire cloud spend with KPI tracking, real-time insights and recommendations. Built-in peace of mind with security and compliance protection to meet any standards. Gather data via portal, email, API, repository, table, data lake or 3rd party data source. Automated AI powered intelligent document processing eliminates manual effort. Intelligent review of document knowledge identifies anomalies, duplicates and errors. Find the needle in the haystack with ScriptString's Knowledge Relationship Indexing.
  • 13
    NuOCR

    NuOCR

    Nuvento

    NuOCR is a high-performance optical character recognition system for enterprises that automates data extraction from paper, images or PDF files. After extraction, it enables the user to validate the content and save it to the database or download the content. NuOCR is an intelligent document processing software that converts unstructured information to structured digital data allowing enterprises to power up their CRM capabilities for enhanced customer experience. Manual data collation is a tedious task, in which one minor error can result in mismatching outputs affecting the quality of the data. The solution to this problem lies in an automated data capture system that collects information from any document and gets it right, every time. As an intelligent document processing software, NuOCR converts information on any document, an image file, a paper document, or a pdf document, into quickly accessible, searchable, and error-free digital data.
  • 14
    NuBot Ai

    NuBot Ai

    Nuvento

    Nuvento is a New Jersey-based chatbot development services company that develops chatbots cost-efficiently to meet your organization’s knowledge management, customer support, self-service and related business needs. Our AI chatbots enhance your enterprise’s communication and personal assistance capabilities with real-time automated conversations with users in natural language making users capable of solving their queries on their own. We develop chatbots for enterprises that understand user intent and can respond to employees or customers according to data stored in the enterprise. Nuvento’s chatbot development expertise gives us the edge in enabling your enterprise to solve real business problems by developing a simple AI chatbot solution. Our chatbots enable retailers like you to get the most of conversational commerce. You can use chatbots we develop to let your customers interact with you. They can get purchase advice and basic customer support as well.
  • 15
    Wallaroo.AI

    Wallaroo.AI

    Wallaroo.AI

    Wallaroo facilitates the last-mile of your machine learning journey, getting ML into your production environment to impact the bottom line, with incredible speed and efficiency. Wallaroo is purpose-built from the ground up to be the easy way to deploy and manage ML in production, unlike Apache Spark, or heavy-weight containers. ML with up to 80% lower cost and easily scale to more data, more models, more complex models. Wallaroo is designed to enable data scientists to quickly and easily deploy their ML models against live data, whether to testing environments, staging, or prod. Wallaroo supports the largest set of machine learning training frameworks possible. You’re free to focus on developing and iterating on your models while letting the platform take care of deployment and inference at speed and scale.
  • 16
    Fosfor Decision Cloud
    Everything you need to make better business decisions. The Fosfor Decision Cloud unifies the modern data ecosystem to deliver the long-sought promise of AI: enhanced business outcomes. The Fosfor Decision Cloud unifies the components of your data stack into a modern decision stack, built to amplify business outcomes. Fosfor works seamlessly with its partners to create the modern decision stack, which delivers unprecedented value from your data investments.
  • 17
    Valence

    Valence

    Valence Security

    Valence finds and fixes SaaS risks. The Valence platform discovers, protects, and defends SaaS applications by monitoring shadow IT, misconfigurations, and identity activities through unparalleled SaaS discovery, SSPM, and ITDR capabilities. Recent high-profile breaches highlight how decentralized SaaS adoption creates significant security challenges. With Valence, security teams can control SaaS sprawl, protect their data, and detect suspicious activities from human and non-human identities. Valence goes beyond visibility by enabling security teams to remediate risks through one-click remediation, automated workflows, and business user collaboration. Trusted by leading organizations, Valence ensures secure SaaS adoption while mitigating today’s most critical SaaS security risks.
  • 18
    R Systems

    R Systems

    R Systems

    R Systems’ aim is to enable organizations to not only identify hindrances in the customer journey but also mitigate them to improve loyalty & long-term profitability by harnessing the power of AI, data analytics, Natural Language Processing (NLP) & Deep Neural Networks (DNN). Understanding the essence of customer experience helps you augment the way people respond to your brand in terms of engagement, loyalty, and retention. Organizations need accurate data and metrics to discern, gather, and analyze customer data for gaining actionable insights and making educated decisions to retain and acquire customers. Our data analytics framework will help you improve First Contact Resolution (FCR), reduce customer effort, optimize self-service options, and handle seasonal spikes in demand. With R Systems on your side, your customer experience will get better with every single interaction. Our services enable you to gather data from customer interactions to gain insights into behavior.
  • 19
    Feast

    Feast

    Tecton

    Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution.
  • 20
    Askdata

    Askdata

    Askdata

    Query, explore, and share data at ease. Askdata is the first platform that makes data interaction frictionless. Connect all your data by clicking the "+" icon in the top right corner. Collect the results of your research and analysis in easy-to-use data cards. Refine your data cards with charts, images, and personalized content and share them on the web, chat and apps. In order to create the data experience, we leverage all your existing data and analytics platforms to create a personalized experience through natural language and proactive insights. We give users the ability to answer any data-related questions with a simple search. Users can ask questions about their connected data instantly using Askdata's natural language querying technology, no training is needed. Our proprietary Human2SQL algorithm improves itself with every single search. Askdata uses cutting-edge AI and knowledge graph techniques to help users surface relevant content that is organized in data cards.
  • 21
    Zepl

    Zepl

    Zepl

    Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. Use fine-grained access controls to share your work. Allow others have read, edit, and run access as well as enable collaboration and distribution. All notebooks are auto-saved and versioned. You can name, manage and roll back all versions through an easy-to-use interface, and export seamlessly into Github.
  • 22
    Amazon SageMaker Feature Store
    Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. Features are used repeatedly by multiple teams and feature quality is critical to ensure a highly accurate model. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. SageMaker Feature Store provides a secured and unified store for feature use across the ML lifecycle. Store, share, and manage ML model features for training and inference to promote feature reuse across ML applications. Ingest features from any data source including streaming and batch such as application logs, service logs, clickstreams, sensors, etc.
  • 23
    Amazon SageMaker Data Wrangler
    Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
  • 24
    Sana

    Sana

    Sana Labs

    One home for all your learning and knowledge. Sana is an AI-powered learning platform that empowers teams to find, share, and harness the knowledge they need to achieve their missions. Give everyone a more immersive learning experience by blending live collaborative sessions with personalized self-paced courses. All from one platform. Lower the barrier to sharing knowledge by letting Sana Assistant generate questions, explanations, images, and even entire courses from scratch. Empower anyone to keep up the energy and engagement with interactive quizzes, Q&A, polls, stickynotes, reflection cards, recordings, and more. Integrate Sana with all your team apps and make your entire company’s knowledge searchable in under 100ms. Github, Google Workspace, Notion, Slack, Salesforce. You name it, Sana can query it.
  • 25
    AI Query

    AI Query

    AI Query

    Use simple English and let AI do the heavy lifting for you. With AI Query anyone can create efficient SQL queries, without even knowing a thing about it. Once your database schema is ready, you can easily generate SQL queries with simple text prompts. Let the AI do the work for you.
    Starting Price: $10 per month
  • 26
    Robust Intelligence

    Robust Intelligence

    Robust Intelligence

    The Robust Intelligence Platform integrates seamlessly into your ML lifecycle to eliminate model failures. The platform detects your model’s vulnerabilities, prevents aberrant data from entering your AI system, and detects statistical data issues like drift. At the core of our test-based approach is a single test. Each test measures your model’s robustness to a specific type of production model failure. Stress Testing runs hundreds of these tests to measure model production readiness. The results of these tests are used to auto-configure a custom AI Firewall that protects the model against the specific forms of failure to which a given model is susceptible. Finally, Continuous Testing runs these tests during production, providing automated root cause analysis informed by the underlying cause of any single test failure. Using all three elements of the Robust Intelligence platform together helps ensure ML Integrity.
  • 27
    UBOS

    UBOS

    UBOS

    Everything you need to transform your ideas into AI apps in minutes. Anyone can create next-generation AI-powered apps in 10 minutes, from professional developers to business users, using our no-code/low-code platform. Seamlessly integrate APIs like ChatGPT, Dalle-2, and Codex from Open AI, and even use custom ML models. Build custom admin client and CRUD functionalities to effectively manage sales, inventory, contracts, and more. Create dynamic dashboards that transform data into actionable insights and fuel innovation for your business. Easily create a chatbot to improve customer support and create a true omnichannel experience with multiple integrations. An all-in-one cloud platform combines low-code/no-code tools with edge technologies to make your web application scalable, secure, and easy to manage. Transform your software development process with our no-code/low-code platform, perfect for both business users and professional developers alike.
  • 28
    Layerup

    Layerup

    Layerup

    Extract and Transform any data from any data source with Natural Language connect to your data source - everything ranging from your DB to your CRM to your billing solution. Improve Productivity by 5-10x Forget about wasting time on clunky BI tools. Use Natural Language to query any complex data in seconds. Transition from DIY tools to non-DIY AI-powered tools. Generate complex dashboards and reports in a few lines. No more SQL or complex formulas - let Layerup AI do the heavy lifting for you. Layerup not only gives you instant answer to questions that would require 5-40 hours/month on SQL queries, but it will act as your personal data analyst 24/7 while providing you complex dashboards/charts that you can embed anywhere.
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    TextQL

    TextQL

    TextQL

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

    Qualytics

    Qualytics

    Helping enterprises proactively manage their full data quality lifecycle through contextual data quality checks, anomaly detection and remediation. Expose anomalies and metadata to help teams take corrective actions. Automatically trigger remediation workflows to resolve errors quickly and efficiently. Maintain high data quality and prevent errors from affecting business decisions. The SLA chart provides an overview of SLA, including the total number of SLA monitoring that have been performed and any violations that have occurred. This chart can help you identify areas of your data that may require further investigation or improvement.