Best Artificial Intelligence Software for Snowflake - Page 9
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Compare the Top Artificial Intelligence Software that integrates with Snowflake as of November 2025 - Page 9
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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.
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1
String.com
Pipedream
String is the first text-to-agent platform by Pipedream that lets you prompt, run, edit, and deploy AI agents in seconds, no drag-and-drop canvases, just natural language commands that generate production-ready code. Backed by Pipedream’s five years of experience building thousands of app integrations and Internet-scale agent infrastructure, String connects to over 2,700 APIs and embeds 10,000+ tools with managed authentication, so your agents can solve ten times more use cases than typical no-code builders. The intuitive web interface guides you through creating agents that monitor GitHub issues and automate ticket creation, schedule meetings, analyze data, send Slack messages, post to social media, update databases, and much more, all with full audit trails, customizable queues, and built-in data stores. Real-time dashboards display agent performance, logs, and metrics, while built-in security and privacy controls (SOC 2 Type II, ISO 27001, HIPAA, GDPR) ensure safe operation. -
2
HappyRobot
HappyRobot
HappyRobot is an AI-native operating system designed to power autonomous operations by orchestrating customizable “AI workers” that understand your business, make intelligent decisions, and act in real time. Built to streamline enterprise workflows, especially in logistics, supply chain, retail, and services, it lets you create AI agents that can speak, type, reason, negotiate, schedule, process documents, browse systems, and escalate when needed. These workers execute tasks across voice calls, emails, messages, and other channels, with advanced reasoning powered by large language models connected to your tools and workflows via APIs, webhooks, or browser agents. You manage this AI workforce from a centralized “control tower,” where you can deploy, monitor, and iterate workflows in natural language or through integrated UIs, gaining visibility into each task and decision. -
3
Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection. -
4
XTEL AI
XTEL AI
XTEL is a commercial execution AI platform built to help companies translate data into actionable strategies and seamlessly carry them out. It features modules like ADAM (Augmented Data Management) to ingest and normalize data; RGM (Revenue Growth Management) to generate insights and strategy across the full company lens; MAX AI for profit and revenue optimization; TPX for trade promotion management (from planning to execution); and REX for retail execution, ensuring coordination across channels, customers, and routes. It is configured for enterprise deployment: modular and scalable architecture with open APIs, compliance with ISO, SOC, GDPR, etc., and built on Azure to support centralized or local models. Its AI and data science layer is purpose-built for the consumer goods domain yet remains configurable, back-tested, and transparent to maintain trust and reliability. -
5
Alta
Alta
Alta is a data-driven AI revenue workforce platform that helps sales, marketing and RevOps teams automate, optimize and scale their go-to-market operations. Its suite of specialized AI agents, such as Katie for outbound prospecting, Alex for calling and lead qualification, and Luna for revenue operations and insights, connects to your CRM, ERP, billing and engagement tools, analyzes more than 50 data sources and enables 24/7 pipeline building, outreach, qualification and performance monitoring. Alta identifies high-intent prospects, personalizes multi-channel outreach (email, LinkedIn, calls), books meetings, updates systems in real time, and delivers actionable dashboards and alerts on performance, revenue leakage, campaign ROI and strategic metrics. With integrations across CRMs like Salesforce and HubSpot, billing platforms and Team collaboration tools, it gives leadership a unified view of revenue data, forecasts, and execution from one platform. -
6
Claude for Life Sciences
Anthropic
Claude for Life Sciences is an AI-powered research platform developed by Anthropic, tailored explicitly for life sciences workflows such as drug discovery, experimental design, and regulatory documentation. The solution connects Claude’s large-language-model capabilities with key research environments and data sources, linking to platforms like lab information systems, genomic analysis tools, and biomedical databases, so scientists can move seamlessly from hypothesis generation through data interpretation to publication-ready outputs. The system also introduces “skills” and specialized connectors built for life-science use cases; for example, a skill for single-cell RNA-seq quality control, or integration with spatial-biology toolchains, enabling meaningful dialogue with analytic pipelines rather than simply raw prompts. By embedding into existing workflows, it reports performance that exceeds human baseline on protocol comprehension tasks, supports natural-language queries. -
7
Teleskope
Teleskope
Teleskope is a modern data protection platform designed to automate data security, privacy, and compliance at enterprise scale. It continuously discovers and catalogs data across cloud, SaaS, structured, and unstructured sources, classifying over 150 entity types such as PII, PHI, PCI, and secrets with high precision and high throughput. Once sensitive data is identified, Teleskope enables automated remediation, such as redaction, masking, encryption, deletion, and access correction, while integrating into developer workflows via its API-first model and supporting deployment as SaaS, managed, or self-hosted. The platform also builds prevention capabilities, embedding into SDLC pipelines to stop sensitive data from entering production systems, support safe AI adoption (without using unchecked sensitive data), handle data subject rights requests (DSARs), and map findings to regulatory standards (GDPR, CPRA, PCI-DSS, ISO, NIST, CIS). -
8
Daylight
Daylight
Daylight merges lightning-fast agentic AI with elite human expertise to deliver a next-gen managed detection and response service that goes beyond alerts, aiming to “take command” of your cyber-frontier. It promises full coverage of your environment with no blind spots, context-aware protection that continuously learns from your systems and past cases (including Slack chats), near-zero false positives, the industry’s lowest mean time to detection and mean time to response, and deep integration with your IT and security stack so it supports unlimited platforms, unlimited integrations, and delivers actionable, noise-free insights via AI dashboards. With Daylight, you get true end-to-end threat detection and response (no escalation games), 24/7 expert support, custom response workflows, environment-wide visibility, and measurable improvements in analyst utilization and response speed, all built to shift your security operations from reactive to commanding. -
9
Mondoo
Mondoo
Mondoo is a unified security and compliance platform designed to drastically reduce business-critical vulnerabilities by combining full-stack asset visibility, risk prioritization, and agentic remediation. It builds a complete inventory of every asset, cloud, on-premises, SaaS, endpoints, network devices, and developer pipelines, and continuously assesses configurations, exposures, and interdependencies. It then applies business context (such as asset criticality, exploitability, and policy deviation) to score and highlight the most urgent risks. Users can choose guided remediation (pre-tested code snippets and playbooks) or autonomous remediation via orchestration pipelines, with tracking, ticket creation, and verification built in. Mondoo supports ingestion of third-party findings, integrates with DevSecOps toolchains (CI/CD, IaC, container registries), and includes 300 + compliance frameworks and benchmark templates. -
10
Kapiche
Kapiche
Kapiche is an insights and analytics product built to make sense of customer feedback data, empowering you to improve decision-making and positively impact your company’s bottom line. Combine multiple data sources and analyze 1,000s of customer feedback responses in minutes. No setup, no manual coding, no code frames. Uncover insights in minutes, not weeks. Have complete confidence in your analysis and answer business questions easily, with deep, actionable insights from any customer data source. In minutes, not weeks. Use the insights uncovered by your insights analysts to ensure buy-in to your CX programs across the organization and drive impactful, customer-centric change. You’ll never make the most impactful business decisions using only quantitative customer data. The richest insights are found at the intersection of qualitative and quantitative data from every stage of the customer journey. -
11
LandingLens
LandingAI
An end-to-end visual inspection platform designed to manage data, accelerate troubleshooting, and scale deployment. See why LandingLens, an AI visual inspection platform works for business. Speeds up your labeling process by as much as 50% and reduces your model deployment time by up to 67%. Manages a few to thousands of models with minimal resources. Improves the accuracy of your machine learning models with data generation and smart labeling. Track and manage the efficiency of AI projects, current data assets, and deployed solutions across all company site locations. Identifies issues caused by the environment and raises alerts when the model drifts. Easily update and adjust your solutions without being beholden to a 3rd party AI team. Enable manufacturers to create, deploy, and manage industrial AI projects on a single integrated end-to-end platform. -
12
CASIE
Nuvento
Cognitive assisted smart intelligent employee (CASIE) is a cloud-based chatbot for employee assistance and training. It leverages the enterprise’s knowledge and service sources to deliver training and self-service support to your employees. This chatbot for employees is integrable with your company’s database, project management platforms and social channels, and uses intelligence and cognition to provide real-time support and information to employees. As for front-facing chat and collaboration platforms, CASIE integrates with Facebook, MS Teams, Slack, WhatsApp, Skype and much more. Business owners can use the platform to train their staff and power up employee independence at the workplace without affecting existing operations. CASIE’s system captures users’ intent and responds according to the context of the questions raised in employee chatbot. With quick access to the right answers, your employees can spend more time in productive work. -
13
Continual
Continual
Build predictive models that never stop improving without complex engineering. Connect to your existing cloud data warehouse and leverage all your data where it already lives. Share features and deploy state-of-the-art ML models with nothing but SQL or dbt or extend with Python. Maintain predictions directly in your data warehouse for easy consumption by your BI and operational tools. Maintain features and predictions directly in your data warehouse without new infrastructure. Build state-of-the-art models that leverage all your data without writing code or pipelines. Unite analytics and AI teams with full extensibility of Continual's declarative AI engine. Govern features, models, and policies with a declarative GitOps workflow as you scale. Accelerate model development with a shared feature store and data-first workflow. -
14
Channel
Channel AI
Ask any data question, in plain English. Connect your database, ask a question, get an answer. Get the answers you need without knowing SQL. Self serve your data insights, finally. Query in plain english. No matter how complex your warehouse, Channel learns how to get the answers you need from just plain English. Beautiful visualization. Channel automatically generates beautiful visualizations for your data, and picks the right chart type based on your preferences. Self service, for real. Channel is designed to be used by anyone, from analysts to product managers. No more waiting for the data you need. Answer the questions you should be asking. Channel surfaces the insights you didn't know you needed, by analyzing your warehouse ahead of time. Combine your knowledge. Channel learns from every questions it's ever asked, and prompts you to ask the questions that really matter. Shared definitions. Keep track of how important terms are defined across your organization. -
15
CognitiveScale Cortex AI
CognitiveScale
Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives. -
16
WisdomAI
WisdomAI
WisdomAI is an AI-powered analytics platform designed to provide instant, actionable insights from both structured and unstructured data. With its powerful AI assistant, users can ask questions in plain English and receive answers in seconds, enabling faster decision-making across various industries. The platform integrates seamlessly with BI tools, data warehouses, and other platforms to provide a unified view of data, offering proactive insights and recommendations tailored to users’ goals. WisdomAI's enterprise-grade security and flexible integrations ensure that teams can collaborate effortlessly and make data-driven decisions efficiently. -
17
Relevance AI
Relevance AI
Relevance AI is a leading platform that empowers businesses to build and manage autonomous AI agents and multi-agent teams, enabling the automation of complex tasks across various functions such as sales, marketing, customer support, research, and operations. With a user-friendly interface, organizations can create AI agents without coding, customize them to follow specific company processes, and integrate them seamlessly into existing tech stacks. The platform offers a range of pre-built agents, like Bosh the Sales Agent, designed to nurture prospects, book meetings 24/7, and personalize outreach, thereby enhancing efficiency and scalability. Relevance AI ensures data privacy and security, being SOC 2 Type II certified and GDPR compliant, with options for data storage in multiple regions. By leveraging Relevance AI, companies can delegate repetitive tasks to AI agents, allowing human employees to focus on higher-value activities and drive business growth. -
18
Merlin
Merlin
Merlin conducts customer interviews for you and summarizes responses into insightful and actionable reports. Merlin asks questions and personalized follow-ups based on previous answers to collect deeper insights. Every session is summarized down to the key highlights to save you hours of work each week. Merlin assigns tags to recurring themes and data types to help you see the big picture at a glance. Merlin analyzes interviews in real-time, finding and ranking trends to help you take informed actions. Users can switch between text and Merlin's industry-leading AI voice mode at any time. Merlin effortlessly integrates with connects to the tools your team already uses. Merlin automatically segments your users into key personas. You can slice and dice the data according to those segments -
19
Canvas AI
Canvas AI
Canvas is an AI-driven platform designed to enhance customer success by transforming data into actionable insights. It integrates seamlessly with existing data sources, providing a unified view that enables proactive management of customer relationships. Key features include early risk detection, identification of growth opportunities, and automation of routine tasks, allowing teams to focus on strategic initiatives. The platform's AI-powered alerts and Canvas Copilot assist in prioritizing actions and handling complex tasks, respectively. Additionally, Canvas offers generative analytics for real-time, customizable reporting, facilitating transparent communication of ROI and progress to clients. Deployment is streamlined, adapting to your data to deliver immediate value. Overall, Canvas empowers customer success teams to transition from reactive account management to proactive growth strategies. -
20
Vidora Cortex
Vidora
Attempting to build Machine Learning Pipelines internally often takes longer and costs more than planned. And worse, Gartner shows that more than 80% of AI Projects will fail. With Cortex, we help teams get up and running with machine learning faster and cheaper than alternatives, all while putting data to use to improve business outcomes. Empower every team with the ability to create their own AI Predictions. No longer will you need to wait to hire a team and build out costly infrastructure. With Cortex you can create predictions from the data you already have, all through an easy to use web interface. Now everyone is a Data Scientist! Cortex automates the process of turning raw data into Machine Learning Pipelines, eliminating the hardest and most time consuming aspects of AI. These predictions stay accurate and up to date by continuously ingesting new data and updating the underlying model automatically – no human intervention needed.
