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boxd gives developers and AI agents their own cloud computers. Each machine is a full Linux VM with its own kernel, SSH access, a public HTTPS address and a persistent disk, so tools that need a real computer (Docker, systemd, long-running agents, dev servers) run unchanged. Running machines can be forked in under 200ms, memory included, so a team or an agent can try several approaches in parallel from the same state. Idle machines sleep and pay only for their disk, then wake on the next request. Machines are managed over SSH, a CLI and an API, with Python and TypeScript SDKs and integrations including GitHub, Linear and Slack. boxd runs as a managed cloud in Frankfurt and New York, or self-hosted on any KVM-capable server, free up to 16 vCPUs. Used for cloud dev environments, AI agent sandboxes, background coding agents and preview environments. Built in Amsterdam, Netherlands.

Nordath ALP is a business intelligence and data automation platform built for real estate developers and professionals. We turn complex cadastral records, GIS data, and corporate registries into automated prospecting workflows, parcel feasibility analysis, and clear visual dashboards to find high-potential land opportunities faster.

JaWork is a project and issue tracker for teams that need to plan as well as build. Tasks, defects and subtasks live on a drag-and-drop kanban board with a backlog, sprints and releases, and the same issues appear on a Gantt chart where you schedule them, group them into summary rows and link dependencies. A Portfolio view puts every project on one timeline. Organizations get configurable dashboards (shareable behind a password), custom fields, reports with sum, count, table, pivot and six chart types, and Excel import and export. Resourcing is built in: capacity per member, job roles with manday rates, and utilization and cost calculated from the work actually planned. Notes, sheets, diagrams and mind maps sit beside each project, with real-time co-editing. JaWork has a REST API and a Model Context Protocol (MCP) server, so AI assistants can read and update issues with a user's own permissions. AI agents that pick up work from a board column are coming soon as a separate add-on. Pricing is per user, with a 30-day free trial and no card required.

Nanoconda gives futures traders direct market access to CME without building or certifying a gateway. Colocated Professional puts your strategies on three dedicated CPU cores at CME Aurora colocation, with complete SSH access and about 1 microsecond order-to-wire latency. Market data, order entry, pre-trade risk, backtesting, and a trading GUI come in one managed environment. The CME cross-connect, all platform software, and 24/6 managed operations, monitoring, and alerting are included.

Calibre System 03 helps organisations bring reported AI use into view and turn it into records people can review and act on. Employees describe their use through a phone-friendly intake. Reviewers see source facts, missing information, rulebook questions and preliminary readings. Owners record human decisions, and leaders see an aggregate board with small-team protection. The software includes twelve built-in rulebooks, a custom-rulebook builder, JSON export and a scoped Model Context Protocol (MCP) interface. It supports governance review; it does not certify compliance or replace legal advice. Unknown information remains unknown. Calibre is a self-hosted software licence. You run it in your AWS account and control your records, administrators, retention, backups and infrastructure. Infrastructure costs are separate. Installation and ongoing management can be scoped separately and are not bundled into the licence. The deterministic rulebook reader works without external inference. Optional Ask and drafting features use your selected Anthropic or OpenCode account and API key, with separate provider charges and processing terms. No Andes inference key or fallback is included in the customer installation. Annual licences exclude VAT: Pilot costs EUR 2,500 for 250 installation-wide invitation links; Department EUR 6,000 for 1,000; Company EUR 15,000 for 5,000. Andes arranges software and licence delivery after payment. The twelve-month licence period starts on delivery. Explore the free public demonstration with fictional data, or book a live demo. The shared demonstration is read-only; payment does not unlock it. Product walkthrough (1:37, fictional data): https://youtu.be/ZhfAYelpowM Technical overview (1:25): https://youtu.be/THdSlK3YKKs

VESSL is an end-to-end ML/ MLOps platform that enables machine learning engineers (MLEs) to customize and execute scalable training, optimization, and inference tasks in seconds. These individual tasks can then be pipelined using our workflow manager for CI/CD. We abstract the complex compute backends required to manage ML infrastructures and pipelines into an easy-to-use web interface and CLI, and thereby fasten the turnaround in training to deployment. Building, training, and deploying production machine learning models rely on complex compute backends and system details. This forces data scientists and ML researchers to spend most of their time battling engineering challenges and obscure infrastructure instead of leveraging their core competencies – developing state-of-the-art model architectures. Existing solutions like Kubeflow and Ray are still too low-level and require months of a complex setup by a dedicated system engineering team. Top ML teams at Uber, Deepmind, and Netflix have a dedicated team of MLOps engineers and an internal ML platform. However, most ML practitioners, even those at large SW companies like Yahoo, still rely on scrappy scripts and unmaintained YAML files and waste hours just to set up a dev environment. VESSL helps companies of any size and industry adopt scalable ML/ MLOps practices instantly. By eliminating the overheads in ML systems with VESSL, companies like Hyundai Motors, Samsung, and Cognex are productionizing end-to-end machine learning pipelines within a few hours.

We offer a wide range of locations around the world. Great prices for our dedicated and virtual servers will surprise you! We provide: security and stability of our solutions, full access to servers, basic protection from DDoS and 24/7 multi-language support. — Wide choice of locations — Real-time control and automation — Secure and Stable — Cost efficient customisable configurations — Full root and IPMI/KVM access — Multiple bandwidth options from 1-100 Gbps — DDoS Protection included — No hidden charges — 24/7/365 hour multi-language support — World's best performing and lowest latency across Russia & CIS Visit G-Core LABS