AI Integration
We connect AI to your actual business problems — not hype demos, not chatbot wrappers. Document processing, analytics, automation, and custom LLM integrations that work with the systems you already have.
AI That Fits Your Existing Systems
We help businesses apply machine learning, NLP, and automation to problems that actually benefit from it — not just because it's trendy. Our work includes document processing pipelines, predictive analytics, conversational AI, and process automation. Everything is built to work with your current infrastructure, not replace it.
Beyond ChatGPT Wrappers
Most "AI integration" companies slap a ChatGPT API on a form and call it a product. We build custom LLM pipelines with proper prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and guardrails. We work with OpenAI, Anthropic Claude, Google Gemini, and open-source models — choosing the right one for your use case, not the one with the best marketing.
Turn Paper into Data
Invoices in PDF. Contracts scanned as images. Receipts photographed on phones. We build pipelines that extract structured data from messy documents, classify them by type, and route them into your existing systems automatically. Japanese, English, and Chinese document support included — because your business runs in more than one language.
Stop Doing the Same Thing Twice
If your team copies data between spreadsheets, manually approves routine requests, or generates the same report every Monday — that's time AI can give back. We identify repetitive workflows and automate them: approval chains, data entry, report generation, email classification. The kind of work nobody enjoys doing but everybody depends on.
Not Everything Needs AI
We'll tell you honestly if your problem is better solved with a spreadsheet formula or a simple database query. AI consulting starts with understanding whether AI is actually the right tool. When it is, we design the architecture: model selection, data pipeline, cost projections, and a deployment plan that accounts for ongoing maintenance — not just launch day.
Your Data Stays Yours
We build AI systems that respect data boundaries. On-premises deployment options, private model hosting, and strict API configurations that prevent your business data from being used as training material. For regulated industries, we design architectures that meet GDPR, APPI (Japan's data protection law), and industry-specific compliance requirements.
AI Use Cases
Conversational AI
Chatbots and assistants for customer support, internal Q&A, and knowledge base access.
Document Processing
Automated extraction, classification, and routing of invoices, contracts, and other business documents.
Predictive Analytics
Forecasting models and dashboards that help you make decisions based on your actual data.
Workflow Automation
Automate repetitive processes — approvals, data entry, reporting — so your team focuses on real work.
LLM Integration
OpenAI, Anthropic Claude, Google Gemini, and open-source model deployment.
RAG Pipelines
Retrieval-augmented generation connecting LLMs to your company's knowledge base.
Custom AI Agents
Task-specific agents that execute multi-step workflows autonomously.
AI-Powered Search
Internal search that understands natural language queries across your documents and data.
Data Privacy
On-premises deployment, private hosting, and compliance with GDPR and APPI.
FAQ
Do I need to replace my existing systems to use AI?
No. We build AI solutions that integrate with your current infrastructure — databases, APIs, and workflows stay in place.
What types of documents can your AI process?
Invoices, contracts, receipts, forms, and other structured or semi-structured business documents. We support PDF, image, and digital formats.
How long does a typical AI integration project take?
A proof-of-concept usually takes 2-4 weeks. Full production deployment depends on scope, typically 1-3 months.
Which AI models do you work with?
OpenAI (GPT), Anthropic (Claude), Google (Gemini), and open-source models like Llama and Mistral. We choose based on your use case — accuracy, speed, cost, and data privacy requirements.
What is RAG?
Retrieval-Augmented Generation. Instead of relying on a model's training data alone, RAG connects the LLM to your company's documents and databases so it answers based on your actual information.
Can AI work with Japanese-language documents?
Yes. We handle Japanese, English, and Chinese documents natively. Multi-language OCR, NLP, and LLM processing are core capabilities.
Is my data safe when using AI?
We configure AI systems to prevent your data from being used as training material. We offer on-premises deployment and private model hosting for sensitive use cases.
Do I need a huge dataset to start?
No. Many useful AI applications work with small amounts of data or even no training data at all (using pre-trained models with RAG). We start with what you have.
What happens after the AI is deployed?
We provide ongoing support: model monitoring, accuracy tracking, prompt refinement, and updates when new model versions become available. AI isn't a set-and-forget deployment.
Considering AI for Your Business?
Tell us about the problem you're trying to solve. We'll tell you honestly whether AI is the right fit.
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