Not every workflow needs a supercomputer.
We build small, efficient AI systems to automate the work traditional software never could.
What we do
We help established companies cut the cost of repetitive desk work.
Our engineers study how your workflows actually run and identify the steps that can be automated safely and reliably using lean, local systems.
No new platforms, no babysitting, no retraining entire teams. Just AI that quietly does its job.
How we do it
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We fine-tune local models for your exact workflow, keeping your data secure and your compute bills low.
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Every project starts with a cost-benefit analysis. If it won’t pay off, we don’t build it.
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We’re founded by researchers and driven by engineers, so we only focus on applied value and proven methods. We implement techniques that have already demonstrated success in research settings, eliminating guesswork and gambles.
Built for production,
not pitch decks.
“More than half of generative AI budgets are devoted to sales and marketing tools, yet MIT found the biggest ROI in back-office automation — eliminating business process outsourcing, cutting external agency costs, and streamlining operations.”
Fortune, 2025
Most flashy AI tools don’t work outside a demo. Even when they do, providing real, immediate value is rare.
So, we’re fixing what the “AI revolution” forgot: the boring, repetitive work that keeps real businesses running.
MIT’s NANDA initiative recently found that 95% of 2025 GenAI pilots provided no ROI, largely because enterprise AI investments focused on personal assistants or automated marketing tools.
Who We Build For
Our clients run high-throughput operations where labor costs scale faster than margins.
If your team spends hours every week on repetitive, rule-based tasks, we can probably automate them.