Enter the field
Work with the business team to understand real workflows, existing systems, data, and decision boundaries.
AI is not an add-on to a traditional business. It is where we start when we define products, build software, and work with customers. We create our own AI products and build AI that works inside real businesses.

Field Application Engineers brought IT into real operating environments. AI now needs Forward Deployed AI Engineers who can build and deploy on site. We bring lessons from developing our own Skills and AI products into the customer environment to design, build, integrate, validate, and maintain their Skills.
Work with the business team to understand real workflows, existing systems, data, and decision boundaries.
Bring our Skill-building experience into the customer environment and co-develop the design, integrations, tests, and deployment.
Deployment is not the finish line. We maintain the Skill, correct its boundaries, and expand it through real use.
We do not lock Skills to one model or platform. Each project is adapted to the client’s Agent environment, with clear inputs, execution steps, permissions, output formats, and failure boundaries.
Define what the Agent should do, when it should stop, and how it handles uncertainty.
Organize domain material, terminology, source standards, and necessary private knowledge.
Connect search, databases, files, enterprise software, and business APIs as needed.
Deliver reproducible scenarios, acceptance criteria, instructions, and maintenance records.
Both are built on AI Skills that can be invoked, validated, and maintained. The difference is who they serve and how they are packaged.
Engineers embed in the customer’s real environment, working alongside the business team to discover, build, integrate, and continuously improve.
Applications whose needs, product definition, engineering, and operations are owned by Sweet Spot. Moshi is the first product now in development.
Forward Deployed AI Engineers build with customers in their real environment. AI Products are applications we define and develop ourselves. Both rest on testable, maintainable AI capabilities.
Multilingual search, source selection, evidence organization, and research outputs.
Productize research methodsStructured investigation and verification across companies, industries, and supply chains.
Productize decision workflowsConnect translation, summaries, classification, notifications, and next actions.
Productize operationsWe start with real needs and turn AI capabilities into products people can keep using.

AI call handling and cross-language information processing for business in Japan.
View MoshiCapture daily life by voice, then let AI organize, understand, and preserve it.
Turn company fundamentals into structured, traceable AI analysis.
Use AI to support parts identification, documentation, and inventory management.
Map users, inputs, current methods, key judgments, and outcomes.
Define knowledge, tools, permissions, workflow, outputs, and exceptions.
Develop with real examples and correct boundaries and failure modes.
Launch in the target environment with documentation, training, and maintenance.
Sweet Spot puts AI at the core of product definition, engineering, and day-to-day operations. We turn our experience in research, company building, and investing across China, the United States, and Japan into our own AI products, then bring that AI-native practice into customer environments.
Tell us what you want AI to accomplish. A Forward Deployed AI Engineer can build with your team on site, while mature capabilities may also grow into independent AI products.