Real Deployments.
Real Results.

The Challenge

A Series B SaaS company with a 30-person engineering team was struggling to ship fast enough. Feature backlogs kept growing, sprint commitments were regularly missed, and hiring was slow and expensive. They needed to dramatically increase output without doubling headcount.

Our Solution

We deployed a suite of coding agents across their engineering workflow. AI agents handled code generation for boilerplate and standard patterns, automated code review and testing, generated documentation, and managed routine DevOps tasks. Engineers focused on architecture decisions, complex problem-solving, and product thinking — the work only humans can do.

Technology Used

The Challenge

A mid-market e-commerce company with 50K+ monthly customers was drowning in customer operations. Their 12-person support team couldn't keep up — order tracking inquiries, return requests, FAQ responses, and escalations consumed 80% of their time. Response times averaged 18 hours and customer satisfaction was declining.

Our Solution

We deployed a multi-agent system that handles the full customer operations workflow. Dedicated agents manage order tracking, process returns, answer product questions, and handle account issues. Complex or sensitive cases are seamlessly escalated to human agents with full context. The system learns from every interaction and continuously improves.

Technology Used

The Challenge

A growth-stage FinTech company relied on a team of 5 analysts to manually collect, clean, transform, and report on data from 12+ sources. Reports took 2 full days to compile, were often outdated by the time stakeholders received them, and the analysts had no bandwidth for the strategic analysis the business actually needed.

Our Solution

We deployed AI agents across their entire data pipeline. Data collection agents pull from all sources on schedule, transformation agents clean and normalize the data, reporting agents generate dashboards and summaries overnight, and anomaly detection agents flag issues in real-time. The human analysts now focus on strategic insights and decision support.

Technology Used