// industries · saas & technology
We're the company software teams call when they need to ship - not plan. We've worked with 11 SaaS clients across the full spectrum: startup MVPs where the whole app was a hypothesis, and enterprise platform modernizations where the hypothesis turned out to be a monolith nobody wants to touch.
// the challenge
You didn't build it wrong - you built it right for the moment, and that moment was 18 months ago. Now your architecture sends little notes: query timeouts at peak traffic, 40-minute deploys because everything is coupled to everything, a database that technically works but makes your senior engineers uncomfortable. The fix isn't complicated. It just requires senior attention you're already spending somewhere else.
Every fast-moving SaaS has technical debt - that's product development, not a failure mode. The question is whether it's the kind you chose deliberately, or the kind that's now embedded in every estimate and silently adding two to three days to every sprint. When debt starts dictating the roadmap instead of informing it, you've crossed a line. We've helped teams map it, prioritize it, and address the parts that were actually causing pain - without stopping the product to do it.
You know what you need: two or three senior engineers who can join your standup, pick up tickets, understand your conventions, and ship - without a three-week onboarding and a dedicated account manager. You need embedded. That's how we work: no discovery theater, no "let's align on the engagement model" calls. We read the codebase, ask the questions engineers ask, and start contributing at a pace that justifies the decision to bring us in.
Somewhere between the sprint planning where everything looked achievable and the release date nobody wants to announce, something broke down - optimistic estimates, an architectural assumption that turned out untrue, a sprint overpromised on day one. We don't fix planning culture. But we can identify the technical factors - missing senior capacity at inflection points, architectural uncertainty that expands every estimate, dependencies nobody mapped - and address them so timelines get more predictable.
We've embedded in SaaS teams at every stage. We learn your codebase. We ship. ↓
// how we help
01 - Software Engineering
Senior engineers who join your team, learn your stack, understand your conventions, and contribute the way you'd want a strong internal hire to - minus the three-month recruiting process. We work in your tools, attend your standups, and don't need you to build a separate lane for us.
Explore →02 - Product Development
MVPs built to be real products, not prototypes you'll throw away. New feature builds with architectural opinions baked in. Platform reviews where we say what we actually think instead of what's easy to hear. We've shipped investor-ready products from discovery and built on systems that looked rough but had good bones.
Explore →03 - Cloud Development
Infrastructure modernization for SaaS teams who've outgrown the architecture that got them here. Scaling work that addresses the actual bottlenecks, not the ones that show up best on a slide. DevOps that makes deploys less of an event. We work in AWS and Azure because that's where SaaS applications live.
Explore →04 - AI & Automation
Adding AI capabilities to existing products - not AI demo theater that impresses nobody who actually builds software. LLM integration that fits your existing architecture. Workflow automation that solves real bottlenecks. If you're trying to figure out where AI belongs in your product, we've had that conversation enough times to be useful.
Explore →05 - Data Engineering
When the data model matters as much as the UI - probably more. We connect siloed systems, get the underlying architecture right, and build the analytics layer that's actually the whole project, not a dashboard on top of a spreadsheet.
Explore →// the proof
Product discovery through full SaaS build on AWS, React, and Node - a legal-tech concept taken from validated idea to investor-ready product in production, where the technical and business decisions had to be the same conversation.
Campus-security SaaS analytics platform on Angular, Node.js, Python, and Docker. The kind of build where the data model matters more than the UI - getting the underlying architecture right was the whole project.
Microsoft Teams-native IT networking platform on Azure, .NET, and React. The strategic call was obvious once said out loud: build where the users already are. If your users live in Teams, the product lives in Teams.
Custom SaaS on React/TypeScript, C#, and Hasura. Reference available - a build where the right stack was the one the team could actually maintain.
Zapier integration and SSO for an AI video platform - the kind of integration work that looks straightforward until you're actually in it. "They are composed of self-starting problem solvers." - Director of Product Management, CLIPr ★★★★★
// the stack
ready when you are
Whether it's a scaling inflection point, a team bandwidth problem, an MVP that needs to stop being a prototype, or technical debt that's finally become the bottleneck - we've worked in exactly that situation before. Usually more than once.