1
Understand the work
A paid discovery sprint clarifies the workflow, what success means, and whether to build at all.
Our philosophy
Understand the work before prescribing the tool.
We take time to understand your people, processes, systems, and constraints.
When AI is the right fit, we make the solution secure, well-tested, and ready for daily use. It is tailored to your team, and it is yours to run and improve.
Not everything needs AI.
We’ll say so early and recommend a simpler path when it’s better.
How we work
From a real workflow to a tool your team can use.
Focused projects. Defined scope and deliverables. Ongoing support is separate and optional.
2
Build for your business
We create a tool that fits your team and systems. A build ends with working software, not just a deck.
3
Prove it and hand it over
We test with users, measure results, and equip your team to run and improve the solution.
The result: a practical improvement your team can own, maintain, and evolve.
Firsthand experience, put to work
35%
Freight savingsLiina reports aggregate savings on freight booked through Plumb since April 2026.
An example from Liina
A custom tool built around the work.
John built the first version of Plumb, a custom tool for Liina’s freight workflow, in about a week using AI, and has refined it with use since.
Plumb brings broker outreach, side-by-side bids, booking, paperwork, and tracking into one workflow. It reduces manual coordination and helps Liina manage the work without a dedicated freight hire.
Why Puls
Operator experience and engineering judgment, together.
From discovery through delivery, we pair a firsthand understanding of business bottlenecks with the discipline to build tools that last.
John Steinberg
Co-founder, Operations
John has led Liina’s sales, finance, and operations for seven years. He used AI to build tools like Plumb that improve core workflows. Before co-founding Liina, he spent six years in Bank of America’s Leveraged Finance group. He brings an operator’s eye for everyday bottlenecks and a finance-trained focus on measurable outcomes.
Hemanth Srinivas
Co-founder, Engineering
Hemanth has spent over 20 years building mission-critical software that large companies rely on daily, leading global engineering teams at Tableau and, most recently, at Amperity as SVP Engineering. His teams have built AI tools for customers and internal use, giving him the judgment to make AI solutions secure and dependable long after launch.
Have a workflow worth improving?
Let’s spend 30 minutes understanding it.