AI that ships.
Ships to production.
We build AI features, agents, and automation systems that ship. Fixed scope. Fixed timeline. Working software.
What We Build
Real AI systems that solve real problems. Not research papers.
AI Agents
Autonomous agents that reason, plan, and execute. LangGraph, CrewAI, or custom architectures.
RAG Systems
Retrieval-augmented generation for your documents, knowledge base, or internal data.
Workflow Automation
Workflows that replace manual processes using AI. Document processing, data extraction, decision support.
LLM Integration
Add GPT, Claude, or open-source LLMs to your product with proper prompt engineering and guardrails.
Computer Vision
Image analysis, object detection, OCR, and visual AI for industrial and consumer applications.
Custom ML Models
When off-the-shelf models don't work. Custom training, fine-tuning, and deployment.
Start with Clarity
One problem. One leak map. Shipped in 1 to 3 days.
Map & Inspect
Review the funnel, spot the leak points, and confirm where revenue is dropping.
Rank & Prioritize
Separate quick wins from deeper fixes and estimate the impact of each.
Recommend Next Step
Present the fix path and decide whether the next move is implementation or handoff.
Deliverables
Our AI Stack
We pick the right tool for the problem. Not the trendy one.
Frequently Asked Questions
What is AI product engineering?
AI product engineering is the practice of building AI features, agents, and automation systems that solve real business problems. AI consulting gives you a strategy document. We ship working software with clear scope and fixed timelines.
What AI technologies does 4M Labs work with?
We work with LLMs (OpenAI, Anthropic, open-source models), RAG systems, AI agents (LangGraph, CrewAI, custom), vector databases, workflow automation, computer vision, and custom ML models. We select the right tool for your specific problem, not the trendy one.
How does a Custom Software Development sprint work?
A Custom Software Development sprint is a fixed-scope engagement. We define one business problem, build a working solution, and hand off with full documentation. The sprint includes architecture, development, testing, and deployment.
When should we start with a free review?
Start with a free review when the problem is real but the buyer is not yet ready to commit to implementation. It maps the revenue leak, shows the highest-impact fixes, and makes the next decision easier.
Can you integrate AI into our existing product?
Yes. Most of our AI work involves adding AI capabilities to existing products. We integrate with your current stack, data sources, and workflows. Custom Software Development fits this use case well.
Do we need to have data ready for AI?
Not necessarily. We help audit your data availability, clean datasets, and establish baselines during the first phase of any engagement. If you have structured data (databases, CSVs, APIs), we can work with it.
What is the difference between AI consulting and AI engineering?
AI consulting gives you a strategy document. AI engineering gives you working software. 4M Labs does engineering. Every engagement ends with code that ships, deployed infrastructure, and documentation your team can maintain.
Ready to find the revenue leak?
Book a call. We scope your free review in 30 minutes.
Book a Strategy Call