AI agents move beyond single-prompt features into systems that can plan, call tools, and finish multi-step work end to end: drafting and sending follow-ups, reconciling records across systems, navigating internal APIs, or handling tier-one customer questions without human help. Mainix builds agents that are scoped to clear business goals, instrumented with evaluation and observability, and bounded by explicit permissions so they only touch the systems and data they should. The result is an automation layer that genuinely takes work off your team's plate, instead of an impressive demo that nobody trusts in production.
Our approach
What We Cover
Goal & Scope
Agent Design
Build & Integrate
Run & Improve
We define the agent's job, success metrics, and boundaries before building anything.
We do
How We Work
01
Discovery
We start by understanding your goals, constraints, and the real problem behind the ask, before writing any code.
02
Architecture
We design a scalable, maintainable solution that fits your business, team, and long-term direction.
03
Implementation
We build the solution with modern engineering practices, close collaboration, and quality baked in from day one.
04
Improvement / Support
After launch, we keep iterating, monitoring, optimizing, and adding features as your needs evolve.
Technologies we work with
OpenAI
Anthropic Claude
LangGraph
LangChain
LlamaIndex
Pinecone
Weaviate
Python
TypeScript
FastAPI
Node.js
AWS