Software + AI Capability
We build traditional web/desktop/backend software and integrate LLMs, RAG, ML and agents into real business systems.
CUSTOM DEVELOPMENT
From focused task agents to workflows that connect enterprise data, tools and business systems. We design RAG, tool use, access control, human review, logging, deployment and integration with existing systems.
An agent is more than a model API. We combine model capabilities with deterministic business logic, data, tools, validation and human review into a deliverable system.
We build traditional web/desktop/backend software and integrate LLMs, RAG, ML and agents into real business systems.
Development, project management and QA focus on tool calls, data boundaries, exception handling and result verification.
Cloud APIs, local models, BYOK or hybrid architecture can be used with appropriate permissions, logging and data flows.
Medical, industrial, e-commerce, research/academic and enterprise knowledge workflows can be designed around domain constraints and human oversight.
Choose the service closest to your business scenario for a detailed scope and pricing page.
Medical/research knowledge bases, RAG, document Q&A, workflows and human review.
View service details →Maintenance, quality, knowledge retrieval, work orders and industrial-data assistance.
View service details →Product assistants, presales/after-sales support, order/knowledge lookup and operations automation.
View service details →Literature, data, experiment/code workflows and research-task assistance.
View service details →Enterprise document retrieval, cited Q&A, access control and internal knowledge assistants.
View service details →Our current focus covers five agent categories, each with its own detailed service page.
Medical knowledge, research literature, workflow assistance and human review.
Equipment, maintenance, quality, work orders, technical documents and industrial knowledge.
Products, customer service, orders, operations, content and internal knowledge.
Literature, data, experiments, code, research workflows and academic tasks.
RAG knowledge bases, document Q&A, permissions, approvals and cross-system workflows.
Multiple agents, tools/APIs, databases, internal systems and human-in-the-loop processes.
Define goals, users, platform, core features, existing systems/data and timeline.
Receive a scoped quotation based on complexity, integrations and deliverables.
Confirm product structure, architecture, milestones, data flow and deployment plan.
Iterative implementation with functional testing, compatibility checks and QA.
Launch the service, deliver installers or deploy servers, with required documentation.
Agreed defect fixes, upgrades, maintenance and follow-on feature iterations.
These figures start from current public AI/agent market benchmarks, then apply an approximately 50% pricing position.
Validate one clearly defined business objective.
For document knowledge bases, permissions and business Q&A.
For cross-system automation and complex business workflows.
Tell us the problem, target platform, core features, existing systems or data, budget range and expected timeline. We confirm scope first, then provide a solution and quotation.
