CONSULTING + AI DEV = AX
TRUSTED ACROSS INDUSTRY
Services
AI agents and physical AI enable enterprise AI transformation. With expertise in both business and AI development, EXDREAM specializes in these two domains, providing end-to-end support from concept and development to implementation in real-world operations.
Management transformation / Organizational transformation / New business
We plan development around each company’s objectives, covering challenge analysis, proposed initiatives, technology selection, proof of concept (PoC), team formation, and requirements definition.
Development / In-house development support / FDE
We connect workflows, knowledge, and applications through AI agents tailored to each company’s challenges. Beyond development, we work with your team to create the tools and processes that enable non-engineers to build in-house, or join your organization as a development team lead to build together.
Development / Data preparation / Simulation
We develop software, build and deploy AI, prepare data, and run simulations to connect AI with equipment, sensors, and robots. Alongside initiatives aimed at delivering immediate results in the field, we offer co-creation through joint research and development for the future.
AI DEVELOPMENT
AI agents connect AI with business processes to create greater business value. Physical AI transforms real-world operations. Across these two domains, we provide end-to-end services spanning system and application development, AI tuning, data preparation, and robot simulation.
AI AGENTS
Develop custom systems for each company, where multiple AI agents share roles, connect workflows, knowledge, and applications, and perform tasks autonomously.
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PHYSICAL AI
Deploy AI on field devices and sensors, developing everything from data collection and inference to business-system integration. Beyond implementing AI for specific goals, we also tune AI and build models, including preparing the data they require.
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PHYSICAL AI
Recreate robots and work environments in simulation to validate cognition and motion and prepare training and evaluation data. We can also tune AI for each robot.
Explore solution ↗DEVELOPMENT PROCESS
Make each next step informed by evidence. Scope and deliverables are agreed for each project.
Review workflows, team skills, and development environments to define in-house development goals.
Select tools and AI that non-engineers can use, and validate feasibility with a small prototype.
Co-develop business applications and AI agents while sharing design and implementation skills.
Validate quality, permissions, and approvals, then prepare documentation and training for internal operation.
Support the team’s ongoing changes and improvements through reviews and technical guidance.
Understand operations, existing systems, and team challenges to agree on shared priorities.
Align technology, requirements, and responsibilities in a practical validation and development plan.
Join the company’s team as a development lead to drive AI and application design and implementation.
Validate quality and usability in real workflows, integrate with existing systems, and deploy.
Improve from operational feedback and share design decisions and development practices with the team.
Review devices, sensors, connectivity, latency, and operating conditions to define AI’s role.
Collect and prepare field data, compare models and runtimes, and evaluate accuracy and processing load.
Build or tune models for the task and develop on-device inference and business-system integration.
Test accuracy, latency, and stability on site, and define exception handling and operating procedures.
Continuously improve models, settings, and applications using operational feedback and new data.
Review the robot, tasks, and surroundings to define motions and evaluation criteria.
Recreate robots and workspaces in simulation with sensor and physics configurations.
Validate cognition and motion, prepare training and evaluation data, and tune AI for the robot.
Review simulation findings and, where needed, assess differences through hardware tests under defined safety conditions.
Refine environments, data, models, and motion based on evaluation findings to guide further development and research.
We are turning experience from consulting and AI agent development into original applications enterprises can keep using.
These products are in development. Contact us to discuss co-development or early access.
AI AGENT BUILDER
An AI agent builder that combines semi-custom agent modules tailored to each company’s operations with multiple LLMs, enabling flexible, visual configuration.
MULTI-AGENT KNOWLEDGE & TRAINING
Structure proprietary company data and expert know-how as RAG-ready knowledge. By combining multiple specialist AI agents, we develop an advanced conversational system: multi-agent RAG.
INDUSTRY AI APPLICATIONS
Develop industry-specific AI agents that use documents, drawings, specifications, and operational data from construction, manufacturing, and logistics to support schedules, work planning, and technical decisions. Combined with consulting support, they aim to create value in daily operations.
INDUSTRIES
Understand the work, the data, and the environment to design an appropriate AI solution.
CONSTRUCTION
Connect documents, drawings, and field information to support decisions and knowledge use. Design data, AI, and applications around site conditions.
MANUFACTURING
Make technical knowledge, expertise, and equipment data usable in development and operations. Address operational challenges through AI agents and physical AI.
LOGISTICS
Map warehouse, transport, and customer inquiry workflows to connect information with field operations. Develop AI assistance and device or robot validation in manageable phases.
SELECTED WORK
CONSULTING / AI ADVISORY
NTT FACILITIESServing as an advisor to NTT FACILITIES’ AI operations group, supporting AI adoption through seminars, workshops, technology events, and consulting on individual AI projects.
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SOUND AI / SYSTEM DEVELOPMENT
KIOXIACo-created the music for KIOXIA’s first television commercial with AI, leading the design, development, and supervision of the AI system supporting the production process.
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SOUND AI / WORKPLACE
PANASONICSupported an office-environment experiment exploring the relationship between working conditions and employee performance, including a system designed to support recovery during breaks through sleep music.
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