We Build AI Systems. Then Transfer Knowledge to Your Team.
KindLogic delivers custom AI implementations—from concept to production. Every system we build is tested in our labs first, then tailored to your needs. You get working code, documentation, and the knowledge to maintain and extend it.
No vendor lock-in. No black boxes. Just production-ready systems your team can own.
Implementation Services
Three pathways to production AI systems, all with knowledge transfer and transparent pricing.
Custom AI Systems
We build production AI systems tailored to your specific business needs—RAG pipelines, AI agents, document automation, and more. Everything is tested in KindLogic AI Labs before client implementation.
Key Outcomes:
- Production-ready system deployed to your infrastructure
- Complete source code and documentation
- Knowledge transfer sessions with your team
- Ongoing support options available
POC to Production
You have a working proof-of-concept but need it production-ready. We refactor, optimize, add monitoring, implement proper error handling, and prepare for scale.
Key Outcomes:
- Production-grade refactoring and optimization
- Error handling, logging, and monitoring
- Deployment infrastructure and CI/CD
- Load testing and performance tuning
AI Architecture Consulting
Strategic guidance on AI system design, tool selection, and implementation roadmaps. We help you make informed decisions before building, avoiding costly mistakes.
Key Outcomes:
- Detailed architecture recommendations
- Technology stack evaluation and selection
- Implementation roadmap with milestones
- Cost projections and ROI analysis
Why Work With KindLogic
Lab-Tested Before Client Work
Every system we build for clients is tested in KindLogic AI Labs first. We prove it works before proposing it.
Enterprise Experience
Founder Alonso Gutierrez built AI systems at scale for Huawei (autonomous vehicles) and Twitter (security & integrity).
You Own Everything
No vendor lock-in. You get full source code, documentation, and the knowledge to maintain and extend the system independently.
Transparent Pricing & Timelines
Clear project scopes, fixed-price contracts available, and conservative timelines. No surprise costs or scope creep.
Knowledge Transfer Focus
We teach your team to fish. Every project includes training sessions and documentation so your team can maintain and extend the system.
Production-Ready Standards
We build for production from day one. Proper error handling, logging, monitoring, testing, and deployment infrastructure included.
Enterprise AI Experience
Built ML infrastructure for autonomous vehicle perception teams. Production systems processing terabytes of sensor data.
Enhanced security and account integrity systems serving millions of users. Real-time ML pipelines at scale.
Master's in Systems Engineering (Wharton). Foundations in ML, optimization, and large-scale system design.
Ready to Build Your AI System?
Schedule a discovery call to discuss your needs. We'll provide honest guidance on what's possible, what it costs, and how long it takes—no sales pitch.