95% of enterprise AI pilots deliver zero measurable return.

We don't build pilots.
We build systems that run.

PurviewX is embedded AI leadership for industries sitting on mountains of operational data. We join your team, build the intelligence systems, and stay until they're in production.

See the WorkHow It Works
Scroll

01 // THE REALITY

The AI landscape has a production problem.

95%

of enterprise AI pilots deliver zero measurable return

MIT / Nanda

74%

of CIOs regret a major AI vendor decision

CIO Dive / Gartner

40%+

of agentic AI projects will be canceled by 2027

Gartner

$52B

projected agentic AI market by 2030 (46% CAGR)

MarketsandMarkets

The market is flooded with AI consultancies selling pilots. The companies winning are the ones who ship production systems and stay to operate them.

02 // THE STORY

How we got here.

2024

Started asking the wrong question.

I thought the challenge was technical — pick the right model, build the right pipeline, ship the dashboard. It wasn't. The technology was the easy part. The hard part was understanding the business well enough to know what to build.

The pattern

It's always the same problem.

Every company I touched had the same gap: operational data scattered across five tools, a leadership team making decisions on gut instinct, and a stack of AI vendor pitches that all sounded the same. Nobody was translating between the data and the business.

The pivot

From consultant to embedded partner.

I stopped showing up with slide decks. I started joining the 7am calls, learning every employee's name, sitting in on operations meetings. The work got better immediately. You can't build intelligence for a business you observe from the outside.

Now

Three industries. Zero pilots.

Every system we've built is in production. Every engagement either continued or expanded. Not because we're smarter than the big firms — because we stay long enough to actually finish.

PurviewX exists because I kept seeing the same gap: companies that need AI leadership, not AI vendors. The difference is staying.

03 // THE WORK

Real work. Real numbers.

We don't show you polished case studies. We show you what we actually built, what broke, and what the numbers look like.

EnergyProduction

50,000+ calls/month. After five pivots.

A water quality product that nobody wanted — until the fifth iteration.

50,000+

Calls analyzed monthly

90%

Reduction in manual review

5

Product iterations

Lessons

  • —First four approaches failed. We shipped all five.
  • —Emotional hooks outperformed technical accuracy.
  • —Client patience through five pivots is why this works.
Read the full case study →
InsuranceOngoing

Five platforms. One operational picture. Twelve weeks.

Data scattered across five systems. Zero unified customer view.

5

Data sources unified

12 weeks

Time to operational picture

Ongoing

Status

Lessons

  • —The real work started after the first dashboard shipped.
  • —Commission structures required raw data, not assumptions.
  • —We're still there. That's the point.
Read the full case study →
DistributionExpanded

100K+ properties enriched. $0.05 per contact.

Broken dedup queries and backwards name parsing. We documented everything.

100K+

Properties enriched

$0.05

Cost per contact

Expanded

Engagement result

Lessons

  • —19% of spend was preventable waste. We quantified every dollar.
  • —The client expanded after seeing the failure report.
  • —Transparency is a better sales tool than a pitch deck.
Read the full case study →

05 // THE PROCESS

How it works.

No six-month discovery phases. No 50-page SOWs.

011 hour

The Conversation

An honest assessment. We'll tell you if embedded AI leadership is the right fit — or if you need something else entirely. No pitch deck.

  • ›Fit / no-fit assessment
  • ›Scope outline
  • ›Honest expectations
022–4 weeks

The Embed

We join your team before writing a single line of code. Learn the business, map the data, understand the people. This is where most consultancies skip ahead. We don't.

  • ›Data landscape audit
  • ›Stakeholder map
  • ›Priority backlog
038–16 weeks

The Build

Iterative development with working code every week. Documented failures alongside wins. You see everything.

  • ›Weekly working deployments
  • ›Documented decision log
  • ›Production-ready systems
04Ongoing

The Stay

We don't hand off and disappear. We operate, optimize, and expand. The best work happens after launch.

  • ›Operational monitoring
  • ›Continuous optimization
  • ›Expansion roadmap

We price on outcomes, not hours.

06 // THE METHOD

The Embedded Intelligence method.

Not a framework from a meeting. A pattern from doing the work.

Embed before you build.

Join the team before writing code. Learn every name, attend every standup, understand the business before touching the data. You can't build intelligence for a company you observe from the outside.

Fail in public.

Document every mistake. Quantify every dollar of waste. The client who saw our 19% waste report expanded the engagement. Transparency beats polish every time.

Ship to production or it didn't happen.

No pilots. No proofs of concept as final deliverables. No dashboards that nobody opens after the first week. If it's not running in production, processing real data, it doesn't count.

You own everything.

Your cloud. Your infrastructure. Your code. When an engagement ends, everything is yours. No recurring platform fees. No lock-in. No vendor dependency.

07 // THE LAB

The Lab

Edwin

Most AI consultancies bolt ChatGPT onto your problems and call it innovation. We built our own.

Edwin is 41,000 lines of Python and 1,900+ tests. It's an AI memory system that verifies what it stores, challenges what it believes, and catches 95% of false information before it enters memory. It uses multi-model adversarial verification — where AI models argue with each other to surface the truth — agentic pipelines, and cryptographic proof of knowledge state.

Everything we learn building Edwin flows directly into client work. The same verification discipline that powers our R&D powers your data warehouse. The same engineering rigor that produces 1,900 passing tests goes into every pipeline we ship. Edwin is why we catch things that other firms miss.

We don't build on top of other people's AI. We build our own, and then we bring what we learn to you.

Learn more about Edwin
41,000

lines of Python

1,900+

passing tests

95%

false info caught

9

packages

08 // START HERE

Let's talk.

Three ways to start.

Read

Browse our build logs and see how we think.

Read the blog

Quick Assessment

Five questions. Find out if embedded AI leadership fits your business.

Take the assessment

Talk

One hour. No pitch deck. Just an honest conversation about your data.

Schedule a conversation

or email alexander@purviewx.ai