Chatbots, OCR, assistants, and automation that ship to production—not demo videos and pilots that never leave staging. We build small, focused systems with measurable outcomes, integrated into the product you already have.
Five types of AI systems we've seen work in production—and two we deliberately skip.
Four formats we ship AI solutions in—depends on where you are now.
We review your processes, identify 3–5 places where AI realistically delivers value, rank them by cost-to-benefit ratio. No model investment yet—just a clear map of what to do, what not to, and where to start.
A small, clearly defined AI system that solves one specific problem. Timeline 30 days, fixed price, measurable outcome. If it works, we scale. If it doesn't, you know fast and cheap.
You have a web or mobile app that works—we add an AI layer without rebuilding the architecture. Semantic search, assistant, classification, automatic personalization. Live in 4–8 weeks.
For projects where an off-the-shelf LLM isn't the answer—domain-specific model, fine-tuning on your data, dedicated infrastructure. Inputs are your data and business problem, output is a system in production.
We understand the process, the data, and the pain point. We propose 1–3 use cases with estimated ROI and a recommendation on where to start. If AI isn't the answer—we say that too.
One use case, clearly defined scope, fixed price, measurable KPI. Before we start building, you know exactly what you're getting and when.
We build, integrate, and test on your real data. Weekly demos. End output: a system in production or staging, with success metrics in plain sight.
Pilot works → we scale to more use cases, add monitoring, optimize cost per call. Pilot doesn't work → we analyze why, propose alternatives, or say AI isn't the right solution. Either way, you know fast and clearly.
All three are things we solve in 30 days—or tell you it's not worth trying. 30 minutes on a call—we look at the process, propose a pilot, and give a ballpark price.