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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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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Decisimo
Decisimo is a powerful platform that allows you to make business decisions more efficiently. It allows you to easily create and update decision tables and rule sets, and tailor them to your needs. The platform has a drag-and drop builder that allows you to design decision flows. These can include components such as models, rule sets and data sources. Decisimo allows you to deploy decision flow to regional endpoints to speed up responses and comply with data protection regulations.
You can improve your decision flow by incorporating AI or machine learning models, as well as connecting to external data sources via REST APIs. Decisimo can be used for batch processing tasks like client segmentation and prescoring. It also supports data retrieval from FTP or Google Cloud Storage. The platform offers robust unit testing capabilities that ensure reliable and accurate decision-making.
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Logic
The Logic platform enables teams to streamline recurring decision-making and review workflows by allowing them to draft processes in straightforward English. Users can outline the decision framework, which may include moderation guidelines, invoice assessment criteria, or lead qualification procedures, or they can upload an existing standard operating procedure (SOP). The advanced AI engine of Logic promptly converts these descriptions into a functional API and web application ready for production. It manages version control, testing, rollbacks, and tracking of audit trails automatically, thus empowering business users to refine process logic without facing engineering delays. Logic is designed for enterprise-level dependability, capable of securely managing extensive decision workloads, and integrates effortlessly as a REST API with tools like Zapier, n8n, ChatGPT, and Claude, among others. By removing the necessity for API keys, prompt engineering, model adjustments, or additional infrastructure, it allows operations, business operations, and workflow teams to completely take ownership of automation processes. This comprehensive approach not only enhances efficiency but also fosters innovation within organizations.
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