Chainstack's APIs and software are used by thousands of businesses, large and small, to build, scale, and maintain blockchain applications. To ensure your security and control, Chainstack's APIs offer secure node connections and key security best practices. Invite other members to join your network and deploy their infrastructure using simple network management tools. You can build and deploy the blockchain protocol that suits your needs. The protocol will never be updated or modified again. Chainstack's managed services for blockchain make it easy to launch, join, and scale decentralized networks. You can now safely experiment with enterprise-grade tools and services and then run production. Continuously monitor and provision your resources.
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StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering.
With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information.
AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps.
Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production.
StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy.
A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator.
By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.
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HyAlto
Introducing the premier cloud management platform centered on revenue for users of vCentre, vCloud Director, and Veeam. Elevate the experience for vCloud customers while streamlining the utilization of Veeam services. Revolutionize vCentre with advanced multi-tenant capabilities, ensuring sleek and efficient self-service options, seamless provisioning, and impeccable billing accuracy. With HyAlto, you can manage your private cloud business effectively and still have time left over. This platform seamlessly integrates with vCentre, vCloud Director, and Veeam to enhance the vCloud customer journey, unify the use of Veeam services, and facilitate automated tracking for flawless and hands-free billing. It’s time to embrace automation in service deployment, eliminating billing inaccuracies and the headaches of manual tracking. Say farewell to the communication breakdowns that often occur among sales, technical, and finance departments. Stop wasting countless hours on invoicing, provisioning, and reconciliation processes. Establish standardized workflows for customer services that are ready to go. Additionally, provide flexible pricing options that include volume and time-based discounts to maximize growth. With the XaaS feature, you can upsell like never before. Now is the perfect moment to enhance your cloud management experience.
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AWS IoT Analytics
The data generated by IoT devices is predominantly unstructured, posing challenges for analysis using conventional analytics and business intelligence tools that cater to structured data formats. This type of data is often derived from devices that capture inherently noisy processes like temperature, motion, or sound, leading to frequent occurrences of significant gaps, corrupted messages, and erroneous readings that necessitate cleansing prior to any analytical work. Moreover, the significance of IoT data frequently relies on supplementary inputs from third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings with rainfall data, assisting farmers in making informed decisions on when to irrigate their crops, thereby optimizing water usage and boosting harvest yields. AWS IoT Analytics simplifies and automates the complex steps involved in analyzing data from IoT devices, making it easier for users to gain insights. This service is fully managed and operates on a pay-as-you-go model, ensuring automatic scaling to accommodate varying data volumes. Consequently, organizations can leverage AWS IoT Analytics to advance their operational efficiencies and make data-driven decisions with greater ease.
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