Trusted by
AI Development
Most teams using AI coding agents are stuck in a loop of prompt, review, re-prompt, repeat. It works for small tasks and falls apart on real systems. We use spec-driven development — a structured Plan → Execute → Verify workflow, so AI agents ship code that matches intent the first time, not the fifth.
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Spec & Plan
We turn your requirements into a structured specification: goals, constraints, edge cases, and verification criteria. The spec becomes the source of truth — a contract between your team and the AI agent that exposes ambiguity before it becomes a bug.
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Execute with AI Agents
We feed the spec into Cursor, Claude Code, or Copilot with the right context discipline — architectural conventions, existing services, and project history. Agents implement against a clear contract instead of guessing, producing code that respects your stack instead of fighting it.
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Verify & Ship
Every implementation gets checked against the spec, not against vibes. This closes the loop that vibe coding leaves open and eliminates the “completion illusion” where agents report tasks done when only 30–40% is implemented.
Why Choose Us?
Years in
Business
Clients Problems
Solved
Cross-Industry
Expertise
Twenty years of shipping software. Now applying that discipline to AI engineering — so your AI investments produce working systems, not pilots that stall.
400+ Satisfied Clients
“Loadsys Solutions is flexible and reasonable, and the quality of their work is sky-high.”
“The tools they’ve built for us have allowed us to grow quite a lot.”
“The expertise and knowledge brought in by Loadsys have been extremely important for us.”
What We Do
From training your team to deploying production-grade AI agents and LLM integrations — six ways LoadSys plugs into your stack.
AI-Assisted Development
Our AI-augmented engineers outperform traditionally staffed teams, delivering faster, leaner, and more reliably. We can take over ongoing support and development of your application, reducing your costs without reducing output quality.
Dev Team Training on AI Best Practices
Embed AI tooling directly into your engineering workflow. We configure, optimize, and integrate coding agents — Cursor, Claude Code, Copilot — so your team ships faster with fewer regressions and stronger context discipline.
MCP Setup — Talk to Your Data via AI
We design and deploy Model Context Protocol servers that give your AI models structured, secure access to internal databases, APIs, and business systems.
AI/LLM Integration into Business Processes
Identify where LLMs reduce friction in your operations — from document processing to decision support — and build reliable, production-ready integrations.
AI Agent Development
We architect and build autonomous agents with well-defined tool use, memory, and decision loops — designed for reliability in real-world enterprise environments.
Claude Expertise & Anthropic Ecosystem
Deep, practitioner-level knowledge of Claude’s API, system prompting, tool use, and the full Anthropic ecosystem — applied to your architecture and use case.
We Didn’t Just Learn AI Engineering — We Shipped It.
Brunel is our flagship product — an AI development planning platform that sits between dev teams and coding agents (Cursor, Claude Code, Copilot), providing a structured Plan → Export → Execute → Verify workflow that eliminates the completion illusion.
82%
of agent failures trace to poor pre-execution planning
3.2×
higher first-attempt success rate with structured plans
23→61%
accuracy improvement in complex coding tasks
Reach Us
Contact us for a free consultation.
We would love to hear about your project and ideas.
