AI Product Engineering
AI Product Engineering: Build the Product, Not Just the Prototype.
We build and operate AI-enabled products and internal platforms: ingestion, enrichment, retrieval, application, APIs, cost controls, and governance.
Four-time Microsoft Solutions Partner: Security, Data & AI, Azure Infrastructure, and Digital & App Innovation. Founder-led engineering experience since 1999.
What we build
- Ingestion pipelines over documents, media, and structured data.
- Model-assisted enrichment with deterministic checks where numbers matter.
- Retrieval, semantic search, application UI, APIs, and role-aware access.
- Token/cost logging, usage caps, and spend circuit breakers.
Proof patterns
Bonelli built and operates AppellateNews.com, a commercial legal research and analytics product over appellate opinions. AI enriches documents; deterministic systems compute statistics; AI output is labeled. Bonelli also applies AI inside security product workflows without asking clients to trust ungrounded data dumps.
What we will tell you that others may not
Inference is a variable cost. Without per-tenant metering and a spend circuit breaker, an AI product has an unbounded liability. We build those controls in from day one.