Automate Your Operations Without Building an ML Team
We build, deploy, and maintain production ML systems that replace manual work in support, ops, and reporting — so your team can scale without hiring.
Who This Is For
This is for you if:
- You're a 20–500 person SaaS or tech company
- Your ops, support, or data teams spend hours on repetitive tasks
- You have data scattered across Zendesk, Salesforce, Slack, databases
- You've seen AI demos that never made it to production
- You need automation that actually works, not experiments
This is NOT for you if:
- You want a chatbot or marketing AI tool
- You're looking for a research partner or PoC
- You need a consultant to "explore AI opportunities"
- You want to own the ML infrastructure yourself
The Problem
You already know your workflows are inefficient.
What you're experiencing:
- Support tickets sit in queues for hours before anyone reads them.
- Operations teams manually categorize, route, and update records.
- Reports that should take 5 minutes take 5 days.
What hasn't worked:
- You've tried automation tools. They break when the data changes.
- You've considered hiring ML engineers. That takes 6 months and $500K.
- You've seen AI demos. They look great, then disappear into Slack threads.
The real problem isn't the technology.
It's that no one owns deployment, monitoring, and iteration.
How ML Baba Works
We don't just build models. We deploy systems.
Map Your Workflows
We audit your existing processes — support triage, data entry, reporting, routing. We identify what can be automated and estimate ROI.
Build for Production
We build ML/LLM systems integrated with your tools (Zendesk, Salesforce, Slack, your database). No generic chatbots. No fragile demos. Real pipelines that handle real data.
Deploy and Monitor
We deploy to your infrastructure or ours. We set up monitoring for accuracy, cost, and performance. We iterate when things break or drift.
Own the Outcome
We don't hand over a model and disappear. We stay responsible for uptime, accuracy, and continuous improvement.
What We Automate
Operations Workflows
- •Ticket classification and routing
- •Data extraction from documents
- •Record validation and cleanup
- •Workflow orchestration across tools
Support Workflows
- •First-response automation
- •Intent detection and escalation
- •Knowledge base retrieval
- •Sentiment analysis and prioritization
Data & Reporting
- •Report generation from multiple sources
- •Anomaly detection in metrics
- •Data reconciliation across systems
- •Compliance and audit trail automation
Integrates with your existing tools
Why ML Baba Is Different
We measure success using your business KPIs: tickets handled per hour, time saved, cost reduced.
Not model accuracy on a test set.
Who We Are
Production ML Engineers
Ex-FAANG · Startup Veterans
ML Baba is built by ML engineers who have deployed production systems at scale — and know what it takes to keep them running.
We've built recommendation engines, fraud detection systems, content moderation pipelines, and LLM-based automation for support and ops.
We're not marketers selling AI.
We're engineers who know how to ship.
Case Studies (coming soon)
- Support ticket automation: 60% reduction in manual triage time
- Ops workflow automation: 15 hours/week saved per ops analyst
- Reporting automation: 3-day reports delivered in 10 minutes
Get Started
Start with a Free Automation Audit
What you'll get:
Feasibility Assessment
Can your workflow be automated?
ROI Estimate
Expected time and cost savings
30-Day Execution Plan
Clear roadmap to production
No obligation. No sales pitch. Just clear answers about what's possible.
Get Your Free Audit