No long-term contracts. No large upfront commitments. Embed an edge AI engineer in your team for 10–20 hours a week and see results before scaling up.
We profile your current AI implementation for accuracy, latency, and cost-per-inference. You get a benchmark report with prioritized issues.
We implement the top fixes: prompt optimization, model swaps, pipeline repairs, inference cost reduction. Measurable before/after metrics on every change.
You get a comparison dashboard showing improvements. Then decide: scale up, move to a retainer, or walk away with working code.
We start every client relationship the same way: a low-risk, time-boxed engagement. You get a senior edge AI engineer embedded in your workflow, billing weekly through VectorLab.
No SOWs to negotiate. No procurement cycles. Start this week, see results within the month.
Full inference pipeline profiling: accuracy, latency percentiles, cost-per-inference, and failure modes documented.
Prioritized list of fixes ranked by impact and effort. Each item has clear success criteria and estimated improvement.
Top 3–5 fixes shipped to production. Prompt optimization, model swaps, pipeline repairs, or infrastructure changes.
Comparison metrics showing exactly what improved. Latency, accuracy, cost, and reliability changes documented.
Email us to schedule a 30-minute scoping call. We’ll assess fit and can start the same week.
hello@vectorlab.dev Or book directly on Calendly