Neural Engineering & Cognitive Logic

Your AI team — without hiring an AI team

We build production-grade RAG systems, voice agents, and AI automation that pay for themselves in weeks.

30+Projects Shipped
2 weeksAvg. Time to MVP
100%Fixed-Price Quotes

Services

What we build

Production-grade AI systems — not prototypes, not wrappers. Deployed on your infrastructure or ours.

Simple, transparent pricing

from $800Ready-made products & bots
from $3,000Fixed-price custom project
from $5,000Enterprise / on-premise
$100/hrConsulting & team training

Every project gets a fixed quote after a free 15-minute call. No hourly creep, no surprises.

Products

Live products we built

Try them yourself — they're running in production right now.

Open Source

Tools we ship in public

Production pieces of our own stack, published on the MCP and Claude Code marketplaces. Install them, read the code, see how we work.

Results

What our clients achieved

Real projects, real numbers. Every system we build is measured by business impact.

Process

How we work

From first call to production in 2 weeks. No committees, no bloat.

01

Discovery Call

15 minutes. We understand your problem, identify the highest-ROI automation, and give you a honest assessment.

02

Scope & Quote

Within 48 hours you get a fixed-price proposal with timeline, tech stack, and expected ROI.

03

Build & Ship

We build. You see progress weekly. MVP in 2 weeks, not 2 months. Demo before every milestone.

04

Launch & Support

We deploy, monitor, and provide 30 days of free support. Ongoing maintenance available.

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FAQ

Common questions

Simple bot: 3-5 days. RAG system or AI agent: 2 weeks. Complex enterprise pipeline: 4-6 weeks. We ship MVPs fast and iterate based on your feedback.

Ready-made products and bots start at $800. Fixed-price custom projects from $3K. Enterprise and on-premise from $5K. Consulting and team training at $100/hour. Every project gets a fixed quote after a free 15-minute call — no surprises, no hourly billing creep.

Yes. API keys (OpenAI, Gemini, etc.) are paid directly by you. This keeps costs transparent and gives you full control over usage.

Yes — and we've done it. Our flagship project is an on-premise due diligence pipeline for an investment fund. Their financial documents never leave their servers. We run local LLMs (Llama, Mistral, Qwen) when the data demands it. Zero third-party exposure, full audit trail.

Yes — it's a core service. We ship MCP servers wired to your internal APIs and custom Claude Skills for your team's workflows. Our own open-source MCP server and Skills are live on Smithery, mcp.so, Glama, and skills.sh — we publish what we build.

30 days of free support included with every project. After that, we offer maintenance packages or hourly support at $100/hr.

We pick the right tools for each project, not the other way around. Most of our work is Python, FastAPI, and PostgreSQL — battle-tested, easy to hire for, easy to maintain after handoff. For AI specifically: LangGraph for agents, pgvector for RAG, Redis for caching, Docker for deployment. We ship to Railway, AWS, or your own servers — whatever makes sense for your setup.

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