Enterprise knowledge & documents
Build Domain RAG knowledge systems for search, business Q&A, summaries and information extraction.
From discovery and prototyping to development, deployment and operations: expertise across the entire project.
Discuss your project
Examine workflows, user needs and available resources. Define the role of AI, where human review is needed, and the expected investment and outcomes. Use focused validation to inform the next step.
01Use-case and workflow analysis
02Agent design and technical architecture
03Data and integration requirements
04Prototype scope and acceptance criteria
05Implementation plan and resource needs
Build around specific tasks,
with interfaces, data and execution designed together.
Build Domain RAG knowledge systems for search, business Q&A, summaries and information extraction.
Connect knowledge and tools to support customer conversations and everyday work.
Query business data, investigate changes and provide findings teams can inspect and discuss.
Create copy, images, voice, video and supporting materials around your requirements.
Break down complex tasks, coordinate tools and agents, and add human review where needed.
Build customer and employee applications for web, mobile, mini programs and desktop.
DeepSeek, Qwen and LLaMA adaptation and fine-tuning; enterprise knowledge bases, prompt engineering and evaluation.
Connect ERP, CRM, WMS, OA, IoT and APIs, synchronize business data and integrate workflows.
Combine voice, vision and other capabilities with Dify, Flowise and n8n for orchestration and tool use.
Private deployment with vLLM and Ollama, GPU and inference optimization, Kubernetes, CI/CD and LLMOps.
For organizations with complex workflows, evolving requirements or limited internal AI engineering capacity, our engineers work closely with business and product teams.
From observing workflows and identifying tasks to prototyping, integration, evaluation and handover, development follows real usage and feedback.
Explore collaborationClarify goals, workflows and the people the application will serve.
Test key assumptions with a prototype and agree on data requirements and acceptance criteria.
Develop the product, integrate systems and support your team through launch.
Use operational results and feedback to refine the application and support handover.
Define goals, workflows, users and resource requirements.
Plan models, data access, integrations and deployment.
Understand needs, assess product positioning and gather feedback.
Develop applications, agents and automation, then test and deliver.
Discuss an idea, explore a product or plan a new solution.
Scan a QR code to speak with our team.

