Ship AI Features Without Hiring a PhD Team
Your startup doesn't need expensive AI engineers. KindLogic teaches your existing team to build production-ready AI systems in 1-2 days. We teach what Alonso built at Huawei and Twitter—and tests in our lab. You build it, you own it, you ship it.
The Startup AI Reality
❌ Hiring AI Engineers
$200K+ salaries. 4-6 months to hire. Competing with Google, OpenAI, and every other company for the same 100 people. Most startups can't afford this—and shouldn't need to.
❌ Traditional Consulting
$50-200K projects. They build it, you pay for it, they leave. Now you're stuck maintaining code you don't understand. Vendor lock-in. Ongoing fees. Not sustainable for startups.
❌ DIY Online Courses
Months of videos. Toy examples that don't work in production. Your engineers spend 3 months learning, then 2 months debugging why it doesn't scale. You're burning runway learning what doesn't work.
✅ The KindLogic Approach
Your team builds production AI in 1-2 days. Alonso teaches what he built at scale (Twitter, Huawei) and tested in KindLogic AI Labs. You leave with working code, complete understanding, and no vendor dependency. $5-10K to get AI capability your team owns forever.
Production AI Systems We Teach (All Lab-Tested)
Every system below was built and tested in KindLogic AI Labs before we ever taught it. No theory. No guessing. Just proven patterns that work.
🔍 RAG Systems (Intelligent Search)
Build search that understands context. Users ask questions in natural language, AI finds the right answer from your docs, code, or knowledge base. See it working in our lab: KindLogic AI Labs.
Real example: Documentation search that actually works
🤖 AI Assistants (Knowledge Workers)
AI that knows your company context—goals, tasks, projects. Helps your team work faster by remembering context they'd otherwise search for. Built and running in our lab.
Real example: Team assistant that tracks goals and tasks
⚙️ Workflow Automation (n8n + AI)
Combine visual workflow tools (n8n) with AI to automate repetitive tasks. Lead generation, data processing, customer onboarding—we've built these in our lab and they run daily.
Real example: Automated lead gen from LinkedIn + AI enrichment
💬 Conversational Interfaces
Chatbots that don't suck. Connect to your APIs, understand context, take action. Not scripted responses—actual AI that understands user intent and delivers real value.
Real example: Support chatbot that resolves 60% of common issues
📊 Data Processing & Extraction
Extract structured data from messy sources—PDFs, emails, forms. Transform unstructured text into actionable data your systems can use. Save hours of manual work weekly.
Real example: Invoice processing that saves 15 hours/week
🎯 Custom AI Solutions
Have a specific problem? KindLogic offers custom implementation projects ($20-100K+) where we build tailored AI systems—with complete knowledge transfer so your team owns it.
Real approach: We build it with you, you own it forever
Why Startups Choose KindLogic
Founded by Alonso Gutierrez—who built AI at Huawei and Twitter, now builds in our lab
🏗️ We Build It First, Then Teach It
Every workshop teaches systems we built in KindLogic AI Labs. RAG search? We run it daily. AI assistants? We use them for our own work. Workflow automation? It powers our lead gen. No theory, no guessing—just proven patterns that work in production.
⚡ Battle-Tested at Scale
Alonso built ML infrastructure at Huawei serving autonomous vehicle teams, and security systems at Twitter protecting millions of users. You get enterprise knowledge at startup speed—practical patterns that scale from MVP to production.
🔓 True Knowledge Transfer
Your team doesn't just watch—they build it alongside Alonso. You leave with working code, full documentation, and complete understanding. No proprietary frameworks. No vendor lock-in. No ongoing fees. You own it, forever.
🚀 Ship in Weeks, Not Months
Most teams ship their first AI feature within 2-3 weeks of finishing a workshop. Why? Because they built production code during the workshop—not toy examples. Deploy, iterate, ship. That's how startups should move.
Frequently Asked Questions
Can our team really build production AI in 1-2 days?
Yes. In KindLogic workshops, your engineers build actual production systems—not toy examples. We teach proven patterns Alonso built at scale (Twitter, Huawei) and tested in our lab. Teams leave with working code ready to deploy, not theoretical knowledge. Most ship within 2-3 weeks after the workshop.
What kind of AI systems does KindLogic teach?
We teach what we've built in KindLogic AI Labs: RAG systems for intelligent document search, AI assistants that understand your company's knowledge, workflow automation with n8n and AI agents, and conversational interfaces. Every system is production-tested before we ever teach it.
How is this different from hiring AI consultants?
Traditional consultants build systems for you ($50-200K), then leave—you're stuck maintaining code you don't understand. KindLogic teaches your team to build it themselves. You own everything: the code, the knowledge, the capability. No vendor lock-in, no ongoing fees. Knowledge transfer, not dependency.
Do we need AI experience on our team?
No. If your team can build web apps or APIs, they can build AI systems. Alonso teaches practical implementation using modern frameworks (LangChain, OpenAI, open-source models) that integrate with your existing stack. Focus is on shipping, not theory.
What if we need something more custom than a workshop?
KindLogic also offers custom implementation projects ($20-100K+) where we build production AI systems tailored to your needs—with complete knowledge transfer. Your team learns alongside us, so you can maintain and extend the system after we're done. No black boxes.
Ready to Build AI Your Startup Can Actually Ship?
Book a free 30-minute discovery call. No sales pitch—just honest conversation about what AI can do for your startup, and whether KindLogic is the right fit. Alonso takes these calls personally.
Book Your Discovery CallOr call: +1 (647) 676-1592