Fortune 100 Clients·20+ Years Experience·Patented Technology
Your specialists are buried in repetitive, predictable work instead of higher-impact work. Pricing quotes. Routing decisions. Triage calls. The same judgment calls, hundreds of times a week.
They're good at it. That's the problem.
Good specialists take years to develop. Doubling headcount creates coordination problems.
When your best people leave, everything they know leaves with them.
Process improvements. Root causes. Training. Long-term planning.
We learn how your specialists make decisions—the patterns, the exceptions, the judgment calls. Then we build software that handles the predictable cases. Automatically.
Low-confidence cases go to humans. The system learns from their corrections and becomes smarter over time.
And they finally have time for the work that matters.
Captured in systems that keep getting smarter.
What took days now takes minutes.
We sit with your specialists and learn how they make decisions
We turn those patterns into an AI system
Handles predictable cases automatically
Review low-confidence cases and provide corrections
System becomes smarter with each correction
Give you strategy decks. They don't sit with your team for weeks learning how they actually work.
Need you to tell them what to build. They can't figure out what your specialists know.
We extract the knowledge, then build systems that scale it.
Five people spent 2–4 days every pricing round wrestling with spreadsheets. The CEO and key staff were trapped in drudge work. Margin errors ran 2–8 points—and some violated partner contracts.
An AI that learned the CEO's pricing logic—including hidden dependencies no one had documented. It generates quotes in minutes and shows exactly how each price was calculated. It caught errors the team had missed for years. Humans can override with guardrails. Over time, it grew into purchase orders, invoices, and forecasting.
"It became our baby ERP."
+
400 people working full-time for a week.
Or one system in 5 minutes.
333 decisions per second — faster than you can read this sentence.
After a $70B acquisition, hundreds of thousands of assets needed sorting—which studio gets which movies, which division gets which properties. A small team made these calls. They could handle 4,000 per week. The acquisition deadline required hundreds of thousands. The team was good. The math wasn't.
An AI system that learned how the team made decisions—the rules, the exceptions, the judgment calls. Predictable cases get handled automatically. Uncertain ones get flagged for human review.
9+ months → under 3 months • Low eight-figure cost prevention
700,000+ assets—websites, servers, applications, devices—to check for security vulnerabilities. Traditional approach: scan everything, hundreds of dollars per asset, eight figures total. The budget: six figures.
Scanners flag everything—they can't tell a high-profile movie site from an internal tool. A senior analyst knows the difference. But you can't put senior analysts on 700,000 assets.
An AI that learned how senior analysts prioritize—what's high-risk, what can wait, what's a false alarm. It catches duplicates nobody knew existed. Routes only what matters to expensive scans. The team's corrections make it smarter over time.
Est. $20M+. 2.3 years.
Under $1M. Less than a week.
Patented system • Complete coverage • 90%+ cost reduction
"We've significantly increased our coverage and efficacy without increasing our budget."
Enginelitix's solution transformed our approach to vulnerability detection. We've significantly increased our coverage and efficacy without increasing our budget. We're now finding critical exploitable vulnerabilities from assets we didn't know before.
"I finally understand which AI investments make sense for our strategy and which are just expensive distractions. Worth every minute of our time."
"What sets this company apart is their approach to metrics. They developed a measurement framework that perfectly aligned AI initiatives with business KPIs — a refreshing change from vendors who force-fit AI everywhere."
"Their expertise in AI and ML really shows. I liked that they broke down complex issues into easy-to-digest nuggets. The training sessions excel at making the complex relatable."
AI leadership for companies building their first AI capabilities—without hiring a full team. We build the foundation, ship the first working system, help you hire right, then hand off. 90-day engagements.
Feeling the pressure to adopt AI but unsure where to start? Practical sessions helping leadership teams get real value from LLMs and AI tools. Hands-on workflows your team can use the next day.
Preet has spent 20+ years solving hard business problems with math and software—at IBM and Microsoft AI, and building AI systems for Fortune 100 clients.
He still does the work: sitting with specialists, learning how they think, building the systems that scale what they know. His teams have delivered eight-figure business impact, compressed nine-month timelines to three, and built patented AI systems still in production today.
Let's talk about what your specialists spend their time on—and how to give them that time back.
