We support AI strategy, training, consulting, and agent development, with services for AI security assessment and remediation, real-time interpretation, and agent payments.
We help leadership teams identify where AI agents can create measurable business value. From AI advisory and roadmap design to proof-of-concept planning, we turn ambition into executable strategy.
Corporate AI training covering ChatGPT foundations, research, presentations, data analysis and AI assistant development. Combine instruction with practical exercises tailored to your workflows and skill level.
We design, build, and operate AI agents that fit real business workflows. From internal knowledge search and RAG to API integrations, SaaS connections, workflow automation, human review, logging, and evaluation design, we help turn AI agents into systems that can be used in real operations.
We help turn AI opportunities into business projects, from planning and workflow design to adoption and evaluation. Our work covers use-case selection, technology comparisons, proof-of-concept testing, and rollout across your organization.
We use AI to support security assessments and penetration testing for web applications, APIs, cloud environments, and networks. Our services connect vulnerability prioritization with remediation, retesting, and ongoing security verification.
A real-time multilingual interpretation video system for focused 1:1 meetings. It supports 16 languages, including Japanese, English, and Chinese.
We develop infrastructure that lets AI agents use external APIs and services and pay within defined budgets and permissions. Our services cover custom agent payment development, JPYC payment integration, and spend and transaction tracking.
Our approach
We put the values of the Atlas Support Charter into practice when choosing what to build, handling data, and making decisions about validation and operations.
Identify the workflows with the greatest impact on customer outcomes, then set development priorities. Clarify the business objective and how work gets done to determine where an AI agent can create the greatest value added.
Define data ownership, permitted uses, and access rights so customers can understand and manage how agents operate. Specify who can use each source and carry out each action, and integrate with existing workflows and systems.
Assess quality, productivity, and business contribution, then improve operations as we expand the workflows and users covered. Agree on evaluation criteria before adoption and use findings from prototypes and live operations to guide further development and deployment.
We will help frame what should be tested, what should be built, and what should wait until the evidence is stronger.
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