AI Discovery Sprint
Use cases, data readiness, risk, success metrics, and a technical roadmap.
Services
We cover the full lifecycle, from selecting the right use case to operating the live system. Engage Valnox for one focused capability or founder-led, end-to-end delivery.
capability areas
Core expertise
We connect documents, databases, ticket systems, and product knowledge through one retrieval layer. Retrieval supplies permission-filtered evidence; generation produces an answer and citations grounded in that evidence. Because citations alone do not guarantee correctness, we evaluate both layers separately.
We design agents not as chatbots, but as operating components with explicit permissions, tools, decision boundaries, and failure-recovery plans.
We build quality inspection, detection, segmentation, OCR, and document-processing solutions together with cameras, edge devices, and operations interfaces.
We manage model, prompt, retrieval, and agent versions under one production discipline with evaluation, tracing, CI/CD, security, and cost visibility built in.
Supporting capabilities
Custom models for demand, risk, recommendation, classification, and anomaly detection.
↗05DATA / 06Connect AI systems to reliable data flows and existing business software.
↗06PRODUCT / 07Take new AI products from discovery to MVP and scalable production.
↗07ADVISORY / 08Use cases, data readiness, risk, investment priorities, and roadmap.
↗08Engagement models
Use cases, data readiness, risk, success metrics, and a technical roadmap.
A clearly scoped engineering delivery for a RAG, AI agent, computer vision, or MLOps system.
A founder-led engineering partnership from discovery to production and continuous improvement.
The right start
In the first conversation, we assess your goal, data, and technology environment to define the clearest next step.
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