aithatactuallyworks.
We don't build science projects. We identify high-impact AI opportunities, validate them fast, and deploy systems that run in production.
Try a starting point
themodel.
Identify.
We audit your operations to find where AI creates real leverage, not where it sounds impressive. We look for repetitive, high-volume workflows with clear success criteria.
Validate.
Before building anything, we test feasibility. Can the model hit the accuracy threshold? Does the ROI justify the investment? We answer these questions in days, not months.
Pilot.
A scoped, production-grade implementation with real users. We instrument everything: latency, accuracy, cost per interaction, so you have hard data to make the scale decision.
Scale.
Once the pilot proves out, we expand. More channels, more workflows, more automation. We handle the infrastructure so your team stays focused on the product.
whereweallocatecompute.
Systems Automation
We build AI systems that handle the work your team does every day but shouldn't have to. Bookkeeping, financial reporting, document processing, data entry, intake and routing, compliance reporting. The repetitive, high-volume tasks that eat hours and don't require judgment.
AI Enhancement
Your competitors are already using AI to move faster. We help you close the gap by layering intelligence across the systems you already run, connecting tools that currently operate in silos, and giving your team capabilities that didn't exist six months ago. AI isn't a replacement for your business. It's a force multiplier for everything you've already built.
Inference is a line item—we allocate it where outcomes are measurable and the system is built to stay under budget and on spec.
fine-tunedfor.
Growth-stage startups
You have product-market fit and a growing customer base, but your support and engineering processes don't scale. You need AI that ships in weeks, not quarters.
Mid-market companies
You have the budget for AI but not the in-house talent to build it right. You've seen demos but need someone to take it from prototype to production.
Enterprise teams
You have AI initiatives but they're stuck in pilot purgatory. You need an external team that can cut through internal politics and actually deploy.
notahallucination.
These aren't hypothetical. They're built from real engagements, real workflows, and real results. This isn't an exhaustive list, but these are some of the highest-value implementations we've seen companies roll out, or that we've helped build firsthand.