01
Use Case Discovery
We identify where AI creates the most value in your business. Not every problem needs AI — we help you pick the right ones.
05
AI Automation
AI that actually solves problems, not just demos well
We build practical AI solutions that plug into your real business workflows. Not science experiments — production systems that save your team hours every week.
Whether it's automating customer support with intelligent chatbots, building content pipelines powered by LLMs, or adding smart recommendations to your product — we focus on AI that delivers measurable ROI. We handle the entire stack: prompt engineering, model selection, API integration, and the infrastructure to run it reliably at scale.
OpenAI APIClaude APILangChainPythonVector DatabasesPineconeVercel AI SDKn8n
200+ projects delivered5+ years experienceFree consultation
Our Process
How we approach ai automation
02
Proof of Concept
A working prototype in 1-2 weeks. You see real results with your real data before committing to a full build.
03
Model & Architecture
We select the right models (OpenAI, Claude, open-source), design the pipeline, and plan for cost optimization.
04
Build & Integrate
Production integration into your existing systems. API endpoints, webhooks, and monitoring — not just a notebook.
05
Monitor & Optimize
Prompt tuning, cost tracking, and quality monitoring. AI systems need ongoing attention — we set you up for that.
Deliverables
What you get
AI integration into existing product
Custom chatbot or AI agent
Automated workflow pipeline
Prompt engineering & optimization
API endpoints for AI features
Cost & usage monitoring
Documentation & training
Ongoing optimization support
Ready to discuss your project?
Free consultation. We'll scope it out and give you a clear plan.
See what we've built
200+ projects delivered across SaaS, CRM, mobile, and custom platforms.
FAQ
Common questions
Almost certainly not. We use OpenAI, Claude, and other APIs — proven, reliable, and cost-effective. Custom models only make sense for very specific, high-volume use cases.
It depends on volume, but most projects run $50-500/month in API costs. We optimize prompts and caching to keep costs predictable.
Yes — email processing, document analysis, data extraction, customer support routing, content generation. If it's repetitive and rules-based (or even fuzzy), AI can likely handle it.
We take this seriously. We can use models with data processing agreements, keep data in your infrastructure, and ensure compliance with your privacy requirements.
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