Questions, answered.

Embedded AI leadership is a model where an AI leader joins your team directly (attending standups, learning the business, mapping the data) for 2 to 4 weeks before writing any code, then builds and operates production AI systems on your own infrastructure. Unlike traditional consulting that delivers a deck and leaves, embedded AI leadership stays to ship systems into production and continues to operate them.

PurviewX provides embedded AI leadership for industries with large operational datasets, including energy, insurance, distribution, legal, enterprise security, and workplace safety. We join a client's team, build production data and AI systems on the client's own cloud, and stay to operate them. We also measure whether those systems actually work, and we publish the cases where they did not: three machine-learning models we built, tested, and refused to ship, a cost estimate we revised down by 5x, and a productivity finding we corrected from 31% to 43% after our own audit found the first number was wrong.

According to MIT's Project NANDA report, The GenAI Divide: State of AI in Business (2025), 95% of enterprise AI pilots deliver zero measurable return. The pilots usually don't fail because the technology is bad. They fail because the incentive structure rewards impressive demos over production systems. The demo becomes the deliverable, and what's possible never becomes what's running. PurviewX defines success as a system processing real data in production.

A traditional consultancy runs a 6-month discovery, rotates 4 to 6 consultants, delivers a proof of concept plus a recommendations deck, and moves on after a knowledge-transfer session. PurviewX embeds for 2 to 4 weeks, deploys one embedded leader plus purpose-built AI agents, delivers a production system processing real data, and stays to operate, optimize, and expand it. With PurviewX, the client owns all code and infrastructure. There is no proprietary platform or lock-in.

PurviewX was founded by Alexander Snyder, an embedded AI leader who has shipped production systems across six industries and three clouds: energy, insurance, distribution, legal, enterprise security, and workplace safety. PurviewX is based in Portland, Oregon, and works with clients nationwide.

Edwin is PurviewX's in-house AI research system: an AI memory architecture with 43,000 lines of Python, tested by another 36,000 lines of tests, of which 2,827 pass. A provisional patent was filed in February 2026 (USPTO 63/991,739), with 10 claims validated against 35 experiments, 2 of which disproved what we expected. It uses multi-model adversarial verification (where AI models argue with each other to surface the truth) and catches 95% of false information before it enters memory. The engineering discipline behind Edwin flows directly into PurviewX client work.

PurviewX prices on outcomes, not hours. Engagements begin with a one-hour conversation to assess fit, followed by a 2 to 4 week embed, an 8 to 16 week build phase, and an ongoing operate-and-expand relationship. Clients build on their own infrastructure and own everything, so there are no recurring platform or license fees.

The client owns everything. PurviewX builds on the client's cloud, in the client's accounts, using the client's infrastructure. When an engagement ends, all code, pipelines, and documentation belong to the client. There are no proprietary platforms to license and no vendor lock-in.

PurviewX works with companies that sit on large operational datasets, across six industries: energy, insurance, distribution, legal, enterprise security, and workplace safety. Examples include a water-quality product processing 50,000+ calls per month, an insurance data unification across five platforms delivered in 12 weeks, a distribution data-enrichment project covering 100,000+ properties at $0.05 per contact, a South Florida court intelligence pipeline delivering a 75% cost reduction, and a country-risk intelligence framework built on official government advisory sources.

An engagement starts with a one-hour conversation, a 2 to 4 week embed where PurviewX learns the business and maps the data, an 8 to 16 week build phase with working code shipped every week, and then an ongoing operate-and-expand phase. PurviewX does not hand off and disappear. The best work happens after launch.