We build AI-native replacements for the off-the-shelf tools draining your budget, and deploy agents across your internal cycles — so your team runs faster on software that actually fits.
License savings compound. Process friction drops. You own what we ship.
We don't do generic “digital transformation.” We do two things — agents that unblock your internal loops, and custom AI-native replacements for SaaS that's no longer earning its bill.
Your team spends hours routing tickets, drafting follow-ups, reconciling fields across three tools, answering the same questions. We deploy agents inside those loops — reading your systems, taking the safe actions automatically, escalating only when human judgment is actually needed.
We audit your SaaS spend, pick the tools whose replacement economics make sense, and ship custom AI-native builds tailored to how your team actually works. License savings compound; what we don't replace gets cleanly integrated.
Twenty-plus years of architecture work sit behind every replacement we ship. AI compresses the build cycle — it doesn't excuse skipping the parts that actually matter when the system gets traffic, audited, or scaled.
We don't vibe-code a replacement and hand you the repo. Every build sits on a solid architecture, right-sized for the stage your company is actually at — not over-engineered for scale you don't have, not under-built for the load you do. Observability, tests, deployment hygiene, and the operational runbook are table stakes, not upsells.
The result: performance on par with the SaaS line you're replacing — built on foundations that age well, with structural advantages that compound over time. Three in how we build, three in what you get to keep.
We calibrate the architecture to the stage your company is actually at — not over-engineered for scale you don't have, not under-built for the load you do. The seams where you'll want to extend next year are already there; the pieces you'd outgrow aren't.
Observability, test coverage, deployment hygiene, and the operational runbook come with every replacement — not as line items. The system survives being handed off, audited, and scaled.
Every replacement is benchmarked against the SaaS line it's taking over. If our version can't match or beat the incumbent on the metrics your team actually feels, we don't ship it.
Your code, your data, your deployment, your roadmap. We hand off repositories, infrastructure-as-code, and runbooks. No platform we'd keep charging you to host.
Maintenance stays roughly flat as you grow. The SaaS line you replaced would have scaled with headcount; ours doesn't. The longer the horizon, the wider the gap.
Optional: we assemble a support team at a fraction of traditional staffing cost, running the same agent tool chain we built into your system. Routine tickets get resolved autonomously; the real issues get escalated to the people who should see them.
Every engagement starts grounded in your real workflows and your real bill — not a generic framework. We prove ROI on one concrete replacement or one agent before scope expands.
We catalog your SaaS stack, internal cycles, and actual spend — talking to operators, not just admins. You leave with a ranked list: replace, automate, integrate, keep.
One replacement or one agent, shipped in roughly 4–6 weeks on your real data. ROI is measured against the SaaS line item it replaces or the hours it clawed back — before we expand scope.
We systematically replace and automate the next items on the list. Migrations, integrations with the SaaS you're keeping, and change management with your team are all in scope.
You own the code, the deployment configuration, the runbooks, and the operational knowledge. We stay on retainer if you want continued work — but nothing we build requires us to run it.
Not anymore. AI-assisted development cuts ongoing maintenance to a fraction of what it was in 2019, and you avoid per-seat compounding as the team grows. Break-even on most replacements lands inside 12–18 months — faster for sprawling or growing orgs.
The math also ignores hidden SaaS costs: admin time, integration SKUs, seat creep, and the workflow friction of tools that fit 70% of how you actually work.
And the math only holds if what we ship is actually solid. Our team has 20+ years of architecture work behind it; AI compresses the build cycle, but the patterns, observability, test coverage, and operational runbook that keep a system maintainable at three years out are still human decisions. That's the part we bring.
No. We migrate incrementally. The first pilot proves one replacement or one agent on real data; everything you choose to keep gets cleanly integrated during the same engagement.
You control the order — usually driven by which line item is biggest or most painful.
Replaces well: internal CRMs, project and task tools, HRIS-lite, knowledge bases, reporting dashboards, most "ops" tooling, and any custom workflow app that's been stitched together with Zapier and goodwill.
We don't replace: scaled payments (Stripe), global infra (AWS, Cloudflare), calendaring, heavy-compliance vertical SaaS you're already deeply in. Those get integrated.
You do. We hand off repositories, deployment configuration, runbooks, and the operational knowledge. No platform lock-in, no per-seat fees from us on top of whatever we replaced.
Agents take the repetitive middle — routing, drafting, cross-tool reconciliation, status updates — so your people handle the judgment calls.
We don't pitch head-count cuts. We pitch your senior people spending their time on senior problems instead of data entry.
The economics break even fastest for organizations with roughly $5k+/month in replaceable SaaS spend and a handful of heavily-used internal tools.
Below that threshold, agents on top of your existing stack are usually the better starting move — and we do those too.