Statvs Qvo designs, engineers, and ships custom intelligence solutions for ambitious companies. No templates. No vaporware. Just systems that deliver measurable ROI from day one.
01 Capabilities
We're not a SaaS company with a login page. We're engineers and researchers who embed with your team, understand your problem at the systems level, and build solutions that integrate into the way you already work.
Replace brittle, rule-based workflows with AI agents that read documents, route decisions, process exceptions, and learn from corrections. We've automated invoice processing, claims adjudication, compliance review, and hiring pipelines — saving clients millions of labor hours.
Go from dashboards that show what happened to models that tell you what's coming. We build forecasting engines for demand planning, customer churn, dynamic pricing, fraud detection, and supply chain risk — all trained on your data and integrated into your decision layer.
Build assistants that actually understand your business. We architect RAG-powered chatbots, voice agents, and internal copilots that pull from your knowledge base, respect your brand voice, and handle edge cases gracefully — not just the easy questions.
Eyes for your operations. We deploy vision models for quality inspection on production lines, real-time safety monitoring, shelf analytics in retail, medical imaging triage, and satellite imagery analysis. From prototype to edge deployment.
Off-the-shelf models know everything about everything and nothing about your business. We fine-tune foundation models on your domain, build retrieval pipelines over your documents, and create structured output layers that plug into your existing software.
Before writing code, we figure out where AI will actually move the needle. Our strategy engagements include operational audits, data readiness assessments, build-vs-buy analysis, and a phased roadmap with clear milestones and cost models.
02 Process
Our four-phase methodology is designed to kill uncertainty early. You get a working prototype on real data before we write production code — so you're never paying for a guess.
We embed with your team. Map workflows, audit data assets, quantify the opportunity, and define the success metric. No decks — just clarity.
A working proof of concept on your real data. You test it, stress it, and shape it. We iterate daily until the signal is undeniable.
Production hardening: APIs, monitoring, security, integrations with your stack (Salesforce, SAP, AWS, Azure — whatever you run). Battle-tested code.
We deploy, monitor performance, and iterate. Every engagement includes 90 days of post-launch support, model retraining, and quarterly reviews.
A model in a notebook is an experiment. A model in production, moving a metric, integrated into a decision — that's what we ship. We don't stop at accuracy scores.
Foundation models are a commodity. The defensible advantage is your proprietary data, your domain edge, your feedback loops. We build systems that compound that advantage over time.
The flashy part is the model. The hard part is the pipeline: data quality, monitoring, retraining triggers, graceful degradation, version control. We obsess over the boring parts because that's where projects die.
We build explainability, audit trails, and human-in-the-loop safeguards into every system. If your team doesn't trust the output, the project failed — regardless of the metrics.
Every engagement is led by senior engineers who do the work — not project managers who relay it. You get a three-person team that ships more than most ten-person departments.
30-minute strategy call. No slide decks. We'll assess your highest-impact AI opportunity and tell you exactly what it takes to get there.
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