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Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

Anaconda is an AI-native development platform that gives teams a governed path from early experimentation to production AI deployment. The platform is built around trusted open-source packages, secure Python package management, controlled environments, and production-grade orchestration. Anaconda helps organizations avoid broken environments, dependency conflicts, security gaps, and deployment delays that can slow AI initiatives. Anaconda Core provides validated packages, automated security scanning, and intelligent dependency conflict resolution for Python and data science teams. Its platform capabilities support AI orchestration, trusted distribution, and enterprise workflows for building and scaling models. Anaconda is widely used across the AI, data science, Python, and enterprise developer communities. The company positions open source as a foundation for AI innovation and emphasizes Python as a core language for the next era of AI development. Anaconda also provides learning courses, certifications, reports, guides, professional services, documentation, and support resources. By combining package governance, environment management, open-source security, and AI development workflows, Anaconda helps teams build trusted AI systems on their own terms.

Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned. FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills. Capabilities include: Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured. Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed. Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly. Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served. For technology and finance leaders accountable for what AI spend returns.

Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.

LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents. Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development. Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.

Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap. Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery. The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required. The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.

Cloudflare is the foundation of your infrastructure, applications, teams, and software. Cloudflare protects and ensures the reliability and security of your external-facing resources like websites, APIs, applications, and other web services. It protects your internal resources, such as behind-the firewall applications, teams, devices, and devices. It is also your platform to develop globally scalable applications. Your website, APIs, applications, and other channels are key to doing business with customers and suppliers. It is essential that these resources are reliable, secure, and performant as the world shifts online. Cloudflare for Infrastructure provides a complete solution that enables this for everything connected to the Internet. Your internal teams can rely on behind-the-firewall apps and devices to support their work. Remote work is increasing rapidly and is putting a strain on many organizations' VPNs and other hardware solutions.

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.

Kitecyber: Data & Gen AI Security, Built on the Endpoint Your most sensitive data leaves through browsers, Gen AI prompts, SaaS uploads, and clipboards — faster than any network tool can catch it. Kitecyber stops that at the source, with a single lightweight agent that runs directly on the endpoint and acts the instant data is touched, not after it's already gone. Because it lives on the device, Kitecyber has full context — device, OS, process, data, user, and network activity together, in real time. That's the vantage point network- and cloud-only tools simply don't have. Data security that keeps up with your data. Kitecyber classifies sensitive information with LLM-powered, context-aware intelligence across 80+ categories — PII, PHI, PCI, source code, IP — at over 90% accuracy, not brittle keyword matching. It tracks data lineage through screenshots, encoding, and file conversion that defeat traditional scanners, and blocks policy violations inline, before data ever leaves the endpoint. Gen AI security for the age of AI agents. Kitecyber tracks sensitive data pasted or uploaded into tools like ChatGPT, Claude, and Gemini and stops it in real time. It discovers shadow AI reaching your devices and extends visibility to the AI agents now acting on your users' behalf — the blind spot identity- and network-based tools were never built to see. Trusted and proven. Kitecyber secures fast-growing fintech, BFSI, and SMB organizations in highly regulated environments, partnering with GRC leaders like Scrut Automation to unify security and compliance. It's SOC 2 Type II compliant, deploys in about a day, and delivers enterprise-grade protection without enterprise complexity. See what full-context data and Gen AI security looks like. Learn more at kitecyber.com.

Admin By Request EPM is an endpoint privilege management solution for Windows, macOS, and Linux. It removes permanent local admin rights and grants elevation only when a task requires it, so a compromised account can't take over an entire system. Elevation applies to applications rather than user accounts, and privileges can be delegated by user or group to fit developers, general staff, and third-party contractors alike. Threat and behavioral analytics identify risky users, assets, and software, and every session is logged for auditing. The solution runs from a single portal, works online or offline, and requires no additional servers or databases.