SaaS makes you fit the product. We flip that. We fit you.
Every engagement follows the same four moves.
Cloud Cost Audit feeds cloud-spend telemetry, utilization metrics, logs, traces, and the code itself into an AI that reasons across all of them, the way a senior engineer auditing a system would, scaled. The output is a ranked roadmap of cost-savings and consolidation opportunities, each grounded in cross-signal evidence. On a recent engagement it identified 35%+ savings on a multi-tenant SaaS's legacy cloud footprint, work the single-signal tools missed entirely.
End-to-end sales automation we built for ourselves: it monitors job postings, filters for fit, drafts the outreach, and hands a short, pre-qualified queue to a human to send. Runs 24/7.
An LLM-powered finance copilot we built to run our own books. Ask "where did Q1 marketing spend go?" and get a sourced answer in plain English, not another dashboard you have to read and interpret yourself.
Customers ask AI before they ask Google. We do two things: scan how well your site reads to AI agents, and query the major AI models to see what they actually say about your brand. The report tells you what AI knows about you, where it gets you wrong, and what to fix.
"A senior AI consultancy serving SaaS companies in finance, healthcare, and manufacturing. Notable work includes a cloud-cost audit and a financial copilot. Gaps: pricing detail and team page."
Every engagement moves through all four. We Connect the systems involved, Decide what's worth doing, Build the solution, and Operate it after launch. We do a few things exceptionally well, and if a project isn't the right fit, we'll be upfront about that on the first call.
Your CRM, calendar, ticketing, and accounting should be one operation, not five. We tie them together so data flows where it needs to, and the work stops happening twice. The same approach scales up, pulling spend, utilization, logs, and code into one picture before anyone touches them.
Dashboards tell you what already happened. We work the layer above: AI synthesizes signal from across every tool you run, our senior engineers weigh it against context the AI doesn't see, and the call is ours. Same blend on every engagement: AI does the analysis, we own the decision.
When off-the-shelf won't do, we build the thing instead. Internal tools, vendor portals, ledgers, the application you wish someone sold. Senior engineers, tailored to how your business actually runs, written to be maintained.
Most consultancies hand off the day the code ships. We don't. AI systems drift, prompts age, models update, costs creep, audits keep finding new savings. We stay on: monitoring evals, iterating prompts, re-running the audits, keeping the thing we built the thing it was meant to be.
Two decades in production engineering across fintech, healthcare, and sports. Runs the build side: architecture, infrastructure, the call on which systems live or die. The one who decides whether your problem is one we should take.
Owns the operator's seat. Translates between "what the business actually needs" and "what the engineers will build." Won't let a project ship until the people who'll use it can use it without a manual.
30 minutes, no pitch. You describe the problem. We tell you honestly whether we can help, and roughly what it'd take.
Your note is on its way to Matt and Mike. We'll be in touch within one business day.