NetForemost

Data & AI

LangChain development services for AI agents and LLM workflows.

NetForemost helps companies design, build, test, and manage LangChain-powered agents, LLM applications, automations, and internal tools with AI expertise, QA support, and delivery visibility.

What we build

What we build with LangChain

AI agents

LLM applications

RAG workflows

LangChain integrations

Common needs

Common LangChain project needs

Build AI agents
Build LLM-powered products
Improve existing LangChain workflows
Add AI QA support
Roles

Roles that may support your LangChain project

AI EngineerBackend DeveloperFull-Stack DeveloperData EngineerQA EngineerProject ManagerTech LeadProduct Designer
The right roles are recommended after discovery based on your goals, stack, scope, risks, and timeline.
Engagements

Available for ongoing LangChain teams and fixed-scope LangChain projects

Discovery before SOW

Discovery comes before every reliable statement of work.

Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.

What discovery documents
  • Business goals
  • Product goals
  • Technology stack
  • Current situation
  • Required roles
  • Timeline expectations
  • Budget expectations
  • Risks and unknowns
  • Success criteria
Stack

Related technologies

PythonNode.jsOpenAIClaudeGemini APIAPIsSQLVector DatabasesQA Automation
FAQ

Questions about LangChain development

Yes. We can build, improve, test, and extend LangChain-powered agents, LLM applications, automations, and product workflows.

Yes. LangChain workflows can connect to APIs, databases, CRMs, support tools, documents, vector databases, internal systems, and product data.

Yes. We can add AI, backend, full-stack, QA, product design, or project management support to your existing team.

Yes. LangChain projects can be structured as fixed-scope work after discovery or supported through ongoing capacity.

Yes. QA support can help test workflows, prompt behavior, tool usage, retrieval quality, integrations, edge cases, and release readiness.

Ready to define the right LangChain team for your project?

Schedule discovery hours so we can understand your project goals, stack, situation, and delivery needs before creating a statement of work.