AI Agent Development for
AI First Startups
We build production grade AI agent systems, RAG pipelines, and LLM integrations for startups where AI is the core product. Deep expertise in MCP, tool use patterns, and cost optimization means your AI infrastructure is ready to scale from launch.
Your Challenges
AI first products have a unique set of infrastructure challenges that generic development shops cannot handle.
Need AI Infrastructure Fast
Your competitors are already in market. You cannot spend months evaluating frameworks. You need production AI running in weeks, not quarters.
LLM Integration Is More Complex Than It Looks
Prompt engineering, context management, tool calling, streaming responses, and error handling all add up fast. Getting it wrong means rebuilding later.
RAG and Agent Architecture Decisions Are Hard
Chunking strategies, embedding models, vector store selection, retrieval reranking, and agent orchestration patterns all require real production experience to get right.
LLM Costs Spiral Without Cost Management
Token costs compound fast at scale. Without proper caching, model routing, and prompt optimization your margins can be destroyed by your own infrastructure.
Most Developers Lack Production AI Experience
General purpose engineers can wire up an API call. Building reliable, observable, cost-efficient AI systems in production is a fundamentally different skill set.
MCP and Tool Use Patterns Are Still Evolving
The Model Context Protocol and agentic patterns are moving fast. You need a builder who is working in this space daily, not reading about it occasionally.
How We Solve Them
We bring production AI experience from dozens of shipped systems across agent workflows, RAG pipelines, and LLM integrations.
Deep AI Agent Expertise
We have built AI agents across dozens of production use cases. Orchestration, tool calling, memory, planning loops, and multi-agent coordination are our daily work.
Production RAG Systems
We architect retrieval systems with proper chunking, embedding strategy, reranking, and evaluation. Your RAG does not hallucinate or miss relevant context at scale.
Cost Optimized LLM Routing
We implement intelligent routing between models based on task complexity. Simple queries go to cheaper models, complex reasoning goes to frontier models. Costs stay predictable.
MCP and Tool Use Patterns
We build with Model Context Protocol standards and proper tool use architecture. Your AI product integrates cleanly with third party systems and extends gracefully.
Observable and Debuggable AI Systems
Every AI system we build includes tracing, logging, and evaluation hooks. When something goes wrong in production you can find and fix it, not just restart and hope.
AI Product Ready to Demo and Scale
We ship products that work reliably under real user load. Your demo day or investor preview does not collapse under the first concurrent user.
Relevant Services
Every service built with AI as a first class citizen, not an afterthought.
50+
Products Shipped
2 Weeks
Average Delivery
$10M+
Client Funding Raised
Proven Results
Real projects. Real numbers. See what we delivered.
SaaS MVP Shipped in 14 Days: From Napkin Sketch to Paying Customers
$4,200 MRR in month one
How a solo founder went from idea to $4,200 MRR in two weeks with a project management SaaS built on Next.js, PostgreSQL, and Stripe.
Two-Sided Marketplace MVP: From Zero to 200 Listings in 3 Weeks
200 listings, 47 bookings in month one
How we built a services marketplace connecting local contractors with homeowners, complete with booking, payments, and review system.
Mobile App MVP: Cross-Platform Fitness Tracker in 2 Weeks
1,200 downloads in first week
A React Native fitness tracking app with workout logging, progress photos, and social challenges, shipped to both app stores in 14 days.
Frequently Asked Questions
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