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CUSTOM DEVELOPMENT

AI Agent 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.

AI AgentRAGLLMTool CallingWorkflowHuman-in-the-loop

Why Choose Us

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.

Software + AI Capability

We build traditional web/desktop/backend software and integrate LLMs, RAG, ML and agents into real business systems.

Full Project Team

Development, project management and QA focus on tool calls, data boundaries, exception handling and result verification.

Local or Cloud Options

Cloud APIs, local models, BYOK or hybrid architecture can be used with appropriate permissions, logging and data flows.

Domain-oriented Agent Design

Medical, industrial, e-commerce, research/academic and enterprise knowledge workflows can be designed around domain constraints and human oversight.

Industries We Serve

Our current focus covers five agent categories, each with its own detailed service page.

Health & Medical Technology

Medical knowledge, research literature, workflow assistance and human review.

Manufacturing & Industry

Equipment, maintenance, quality, work orders, technical documents and industrial knowledge.

E-commerce & Retail

Products, customer service, orders, operations, content and internal knowledge.

Research & Education

Literature, data, experiments, code, research workflows and academic tasks.

Enterprise Knowledge & Workflows

RAG knowledge bases, document Q&A, permissions, approvals and cross-system workflows.

Multi-agent & Complex Integration

Multiple agents, tools/APIs, databases, internal systems and human-in-the-loop processes.

Our Delivery Process

01

Requirements

Define goals, users, platform, core features, existing systems/data and timeline.

02

Quotation

Receive a scoped quotation based on complexity, integrations and deliverables.

03

Solution Design

Confirm product structure, architecture, milestones, data flow and deployment plan.

04

Development & QA

Iterative implementation with functional testing, compatibility checks and QA.

05

Deployment

Launch the service, deliver installers or deploy servers, with required documentation.

06

After-sales Support

Agreed defect fixes, upgrades, maintenance and follow-on feature iterations.

Reference Pricing

These figures start from current public AI/agent market benchmarks, then apply an approximately 50% pricing position.

Focused Task Agent / POC

US$12,500+

Validate one clearly defined business objective.

  • Single-agent core workflow
  • Basic tool/API use
  • Basic UI & logging
  • QA & deployment

RAG / Enterprise Knowledge Agent

US$18,000+

For document knowledge bases, permissions and business Q&A.

  • Document processing & retrieval
  • Cited Q&A
  • Accounts/permissions
  • Admin & deployment

Multi-tool / Workflow Agent

US$25,000+

For cross-system automation and complex business workflows.

  • Multiple tools/APIs
  • Workflow orchestration
  • Human review
  • Monitoring, logs & exception handling
Pricing approach: public 2026 AI-agent pricing commonly places basic task agents around US$25,000–75,000, with more complex systems reaching US$100,000+. This page positions starting prices at roughly 50% of those market benchmarks; final quotes depend on scope.

Send us your requirements

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.

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