AI assistants that feel like part of the team.
Support customers and employees with useful answers, lead capture, service workflows, and a clear path to a human when needed.
Explore assistants ↗AI systems for real work
Alphex AI builds AI assistants, knowledge systems, and intelligent automations that help businesses reduce repetitive work, make information accessible, and build more efficient workflows.
Start with the challenge, not the technology. We shape each system around the work your team needs to get done.
Support customers and employees with useful answers, lead capture, service workflows, and a clear path to a human when needed.
Explore assistants ↗Connect documents and approved sources to give people relevant, contextual answers.
Explore knowledge systems ↗Connect tools and automate repeatable steps with sensible boundaries and human approval where appropriate.
Explore automation ↗Test responses, review edge cases, and improve behavior before and after launch.
Meet EvalLoop AI ↗A small preview of how an AI assistant can retrieve relevant context, respond clearly, and pass work to a person when it should.
Identify what the person needs and what information is relevant.
Find relevant information from the approved knowledge base.
Answer clearly and point back to the source.
Leave sensitive or uncertain decisions with a person.
Good AI projects are built through shared understanding, deliberate testing, and iteration. Here’s how we get there.
Map the workflow, define the problem, and agree on what a useful outcome looks like.
DISCOVERConnect the right context and tools, then test real questions and edge cases.
VALIDATEIntegrate the system, review how it behaves, and refine it as needs evolve.
ITERATEWe bring context, action, and evaluation together so each layer has a clear job and a path to improvement.
Knowledge, instructions, and business rules.
Answers, workflows, and connected tools.
Testing, feedback, and ongoing refinement.
Responsible AI starts with clear boundaries. We consider grounding, testing, and human oversight as part of the design, not an afterthought.
Talk about your requirements ↗Use approved sources and make the basis for a response easier to inspect.
Define when the system should ask for confirmation or bring in a person.
Review expected behavior, edge cases, and the quality of real-world outcomes.
Scope access, data handling, and actions to each project's actual requirements.
Security controls, hosting, retention, and access requirements are confirmed for each implementation. No universal security guarantees or certifications are implied.
Alongside client solutions, we develop focused products that help improve AI quality and connect people with opportunities.
Evaluate AI responses, compare outputs, and inspect quality dimensions to build more reliable AI experiences.
Explore EvalLoop AI ↗Discover opportunities across AI evaluation, LLM work, data annotation, AI training, and related fields.
Explore EvalLoop Jobs ↗Each project is scoped around the workflow, integrations, and quality requirements. These starting points help frame the conversation.
A focused assistant for common questions and lead capture.
Context-aware answers connected to your knowledge and workflow.
Integrated workflows for your team's specific operating needs.
Indicative starting prices for setup. Final scope, hosting, usage, and ongoing support are agreed before work begins.
Have a question about a use case or integration? Tell us what you’re trying to solve.
Talk to Alphex ↗No system can guarantee perfect answers. We can ground responses in approved sources, test edge cases, define uncertainty behavior, and route sensitive situations to a person.
Usually, depending on the tools and their available integrations. We review your current workflow and scope the connections around the task.
A focused first version may take a few weeks. Timing depends on content readiness, integrations, testing requirements, and the number of channels.
Data handling, access, hosting, retention, and deployment controls are discussed and scoped for each project. We don't assume one configuration fits every business.
Yes. We can review the current experience, identify quality gaps, and help with evaluation, knowledge grounding, workflow design, or targeted improvements.
Tell us where your team loses time, where information gets stuck, or what you want AI to make possible.
Discuss your project