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StackAI
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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Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Orbis
The platform boasts data on nearly 400 million businesses and organizations worldwide, with 41 million containing in-depth financial details. Beyond merely offering information, we meticulously gather an extensive range of data, which we then refine, enhance, and standardize to ensure it is more robust, insightful, and accessible for analysis. We compile and refine information from over 170 distinct sources, along with numerous proprietary channels, to develop Orbis. This tool stands out as the preferred choice for confirming a company's existence and accessing its reports—it's significantly more likely to yield results than any other business database. Orbis delivers detailed company reports, indicators of financial stability, and ownership details, which are invaluable for conducting thorough research and evaluating potential risks associated with a business. Additionally, users can select from a multitude of search parameters and combine them to conduct highly targeted inquiries within Orbis, making the research process even more efficient. Ultimately, this level of customization ensures that users can find precisely what they need with ease.
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