Faster operations, measured in EBITDA.
Bottom-line improvements in weeks.
We find the operational gaps quietly draining your EBITDA, then quickly build a solution, helped by AI agents. Run by operators who have done the job, measured against your own baseline, and paid from a fraction of the value your business recovers.
5 production deployments · 0 security incidents · Paid from the value we create, not before.
Who will be in the room
Our founders have led operations planning and execution for some of the most complex and demanding companies in the world, and have built and scaled leading startups of their own, including in AI. When we sit across from your team, we have done their job.
Serial AI founders · 25+ years in hands-on operations and supply chain · ex-Accenture, ex-Mars
The problem
You have already tried AI. It stalled.
Most teams have run the experiment by now. A ChatGPT license here, a Copilot rollout there, a proof of concept that demoed beautifully and never reached production. The model was never the hard part. The hard part is everything around it: picking the right business problem, working with imperfect data, handling the corner cases, bringing along the team who has to use it, and one accountable owner who takes it from pilot to P&L.
Meanwhile the operational gaps stay open. Demand plans that miss. Inventory that ties up cash. Calls that ring out. Leads that go cold. Each one has a number attached, and the number compounds every month you leave it alone.
95% of enterprise AI pilots deliver no measurable P&L impact.
MIT, 2025
What you get
Operators assisted by AI, closing the gaps your team cannot get to.
Applied AI Labs helps operations teams execute faster, in the companies where every point of EBITDA counts. We put experienced operators next to your team, find the highest-value gaps in how your operations run, and build the AI agents that turn your data into action in real time. You keep running the business while we deliver.
Effective
We solve real operational cases your team has not been able to close in-house, measured against your own numbers.
Fast
Most improvements go live in two weeks. We do the heavy prework, so the load on your team stays light.
Durable
We monitor, measure, and keep improving after go-live. The value holds when we step back.
Low risk
Our fee is a fraction of the uplift we create, and the fee reduces every year. Paid from the value we create, not before.
How we are paid
You only pay for results we can prove.
Before we build anything, we agree on each case's expected value, its baseline, and how we will measure it, together and in writing. Our fee is anchored to a fraction of the confirmed uplift, and the fee reduces every year as the improvement becomes your new normal.
Agree the number up front.
Expected value range, benchmark, and baseline, signed off before we start.
Paid on confirmed uplift.
A fraction of the value we actually deliver, measured against that baseline.
The fee reduces every year.
Our share is highest in year one and steps down as the improvement turns into business as usual.
“Paid from the value we create, not before.”
Engagements begin with a small fixed-fee diagnostic, one to two weeks, that maps and quantifies the opportunities. Beyond that, you only pay for value we can confirm.
How it works
Inside your systems in days. In production in weeks.
We plug into the tools you already run, read only what we have agreed to, reason over it in a secure workspace, and write results back on your terms.
Connect.
We sign in through your existing login system (Okta, Microsoft Entra, Google Workspace). You stay in control of who has access.
Read.
Read-only access to the exact datasets we agree on across your ERP, CRM, HRIS, and communication tools. Nothing else is touched.
Reason.
Data lands in our secure workspace, encrypted in transit and at rest. Our AI reads it, reasons over it, and prepares the actions for your approval.
Write back.
Results return to your action plans, your dashboards, or straight into your systems of record, under one of three control modes you choose. A human approves every action that matters.
The engagement
A short diagnostic, then new value every two weeks.
We start free, with an operations review. If the hypotheses hold up, a short diagnostic ranks the operational cases worth solving. We prefer to run it on-site, because sitting with your team is the fastest way to see where the work really breaks. Then we work them one at a time, in rolling two-week cycles.
A leading skin-aesthetics group won back $1.4M a year of bookings that were being lost to overflow and after-hours calls. From diagnostic to live value in six weeks, adding $27K a week to the top line and climbing.
Week 0
Operations review
Weeks 1-2
Diagnose
Weeks 3-4
Build and deploy
Weeks 5-6
Prove value
Week 7+
Live and compounding
Proof
Already in production. Already paying off.
This is not theory. Every one of these is running live with a paying customer today. We count only what reaches production, which is why the number is five and not fifty. A proven path, with no prototype risk.
7 to 10 point gain in forecast accuracy
first real-data forecast in a day, $0 upfront.
11% of cash released from stock
service rate up, $100-150K less in annual write-offs.
+$1.4M/yr in bookings recovered
Every overflow and after-hours call answered and booked.
Up to 15% fewer shipments
daily shipping, overtime eliminated.
37% to 62% of leads reached
first call in seconds, 550 leads a week across four brands.
Demand-aligned scheduling that cuts overtime and changeovers
(in progress).
Track record
Trusted by the companies we build with, and the programs we build alongside.
Built and operated with
Programs and partners
Who we are
Operators who have run the job. Engineers who ship in production.
Applied AI Labs was built by people who have carried an operational P&L and by engineers who have been building production AI since it became possible. We go in operator-first, which is why the work lands.
Mike Fedorov
Co-CEO
25+ years in hands-on operations and supply chain, in leadership roles at world-leading operators and consultancies. He has run and turned around operations for some of the most complex companies in the world.
Tim Csillik
Co-CEO
Serial founder whose most recent AI company was acquired in 2025. He has built and scaled ventures across the US and Europe, and leads the venture side of the business.
Andrew Ravasz
CTO
Experienced AI architect, award-winning inventor, and TEDx speaker. He has designed and built agentic systems since they first became possible, and owns the platform behind every deployment.
Behind them sits a dedicated engineering team that works the problem in parallel with the engagement, so progress compounds daily instead of waiting on one person's calendar.
Find the value hiding in your operations.
Start with a free operations review. We research your operation first, bring you two or three specific hypotheses about where your EBITDA is leaking, and pressure-test them with you for thirty minutes. You keep the thinking whether or not we ever work together.