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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DeepRails
DeepRails serves as a platform focused on the reliability of AI, offering research-informed guardrails that are designed to consistently assess, oversee, and rectify the outputs generated by large language models, thereby enabling teams to create dependable AI applications suitable for production environments. Among its key offerings are the Defend API, which provides real-time protection for applications through automated guardrails and correction processes, and the Monitor API, which tracks AI performance by identifying regressions and measuring quality indicators such as correctness, completeness, adherence to instructions and context, alignment with ground truth, and overall safety, alerting teams to potential issues before they impact users. Additionally, DeepRails features a centralized console that empowers users to visualize evaluation results, streamline workflow management, and efficiently set guardrail metrics. Its unique evaluation engine employs a multimodel partitioned strategy to assess AI outputs based on metrics grounded in research, effectively measuring various critical aspects of performance. This comprehensive approach not only enhances the reliability of AI applications but also fosters a proactive stance towards maintaining high standards in AI output quality.
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Globant Enterprise AI
Globant's Enterprise AI serves as an innovative AI Accelerator Platform that facilitates the effortless development of bespoke AI agents and assistants specifically aligned with your organizational needs. This platform empowers users to specify a variety of AI assistant types capable of engaging with documents, APIs, databases, or even communicating directly with large language models. Integration is made simple through the platform's REST API, allowing compatibility with any programming language in use. Furthermore, it harmonizes with current technology infrastructures while emphasizing security, privacy, and scalability as top priorities. By leveraging NVIDIA's powerful frameworks and libraries for LLM management, its functionality is significantly enhanced. In addition, the platform boasts sophisticated security and privacy measures, such as built-in access control systems and the implementation of NVIDIA NeMo Guardrails, highlighting its dedication to the ethical development of AI applications. With these features, businesses can confidently adopt AI solutions that not only meet their operational needs but also adhere to best practices in security and responsible usage.
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