StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering.
With StackAI you can:
• Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls
• Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow
• Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls
• Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing
• Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise
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JOpt.TourOptimizer is an enterprise route optimization and scheduling engine for logistics, dispatch, transportation, and field service operations. It solves VRP, CVRP, VRPTW, pickup and delivery, multi-depot planning, heterogeneous fleet routing, and workforce scheduling under real-world business constraints.
The platform supports time windows, working hours, capacities, skills and expertise levels, territories, zone governance, overnight stays, alternate destinations, and custom business rules. Available as a Java SDK and Docker-based REST API with OpenAPI/Swagger, JOpt.TourOptimizer integrates into existing software platforms.
It helps organizations improve planning efficiency, service quality, transparency, SLA compliance, and operational reliability at scale. It is designed for software vendors, enterprise developers, and operations teams that need scalable optimization technology for production use, not just basic route calculation.
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Voquill
Voquill is the agentic OS for medical labs, built AI-native to run the lab’s core workflow from accessioning and case routing to reporting and sign-out, with agentic AI built into every step. Instead of forcing modern labs to work around legacy systems that do not scale or plug into today’s AI, Voquill provides a modern LIS where every stage of the case has an agent working alongside the team. For accessioning, agents read the requisition and build the order, so intake stops being data entry. Labs can scan the paper requisition and have an agent pull patient information, tests, and specimen details into a structured order, while the team reviews and approves instead of retyping. The original scan is kept forever, with a confidence score on every extracted field. For case distribution, cases route themselves to the right pathologist by subspecialty, current workload, and turnaround pressure, without a rules engine to babysit or morning triage to manage.
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