The engineers who can build this won't join a mid-market operating company one at a time. That's structural, not a hiring problem.
For mid-market companiesFrom AI ambition
From AI ambition
to verified EBITDA.
AiStudio identifies, builds and deploys bespoke AI systems inside your operations. We bring strategy and engineering together in one team, and stay until the outcome lands.
The gapEvery business owner has AI in the plan.
Every business owner has AI in the plan.
Almost nobody has it in production.
The constraint is execution, not technology.
The business runs on judgment nobody wrote down: the exceptions, the edge cases, the pricing logic held by two people.
Pilots clear the build and then die in daily use. After go-live, nobody owns the number, and the value never reaches the P&L.
A company that doesn’t use AI and one rebuilt around it are not the same business. Only one of them is worth more.
Where we drive valueYour plan is the floor.
Your plan is the floor.
AI adds to every lever already on it.
Revenue acceleration
Give the same revenue team greater reach across accounts and markets.
Cost to serve
Automate delivery work and put the freed capacity back into growth.
Faster add-ons
Give each acquisition the shared engine and playbook built for the first.
New data products
Turn existing operational data into paid features and services.
Multiple expansion
Strengthen earnings quality and transfer embedded IP to the next owner.
How we deliverOne deployment pod.
One deployment pod.
Diagnosis to finance-verified value.
Identification
Timeline
Weeks 0–2
What you get
An identification memo: two or three use cases, the assumptions behind each, and the data we need.
WHAT WE DO
- A two-day workshop with the sponsor, CEO, operators and IT
- Walkthroughs of real work, recorded
- Every use case scored on process, systems, data and uplift
Discovery
Timeline
Weeks 1–3, on site
What you get
A quantified opportunity map, a solution design, and a business case the client signs off.
WHAT WE DO
- ERP, CRM and workflow logs read, not workshops alone
- Every step mapped with the operators who run it
- The target state co-designed as an AI-native workflow
Development
Timeline
Weeks 3–8 per phase
What you get
A production workflow running at one site, a live KPI view, and the runbook to operate it.
WHAT WE DO
- Built where bought software stops
- Backtested on history before anyone uses it
- Weekly releases into the ERP and CRM, alongside the users on the floor
Change management
Timeline
Alongside the build, then monthly
What you get
Finance-verified value. Your code, runbook and repeatable engine.
WHAT WE DO
- Adoption baselined before go-live
- Value tracked live, with a named owner for every metric
- Daily reports, monthly reviews and actions
Proof
What this looks like in practice.
Where we sitNot a strategy house. Not a point tool.
Not a strategy house. Not a point tool.
Not a team you have to hire.
Swipe to compare all four options →
| Strategy consultants | Point AI vendors | In-house AI team | AiStudio | |
|---|---|---|---|---|
| Use cases chosen by EBITDA impact | ||||
| Engineers building in your live systems | ||||
| Value inside the hold period | ||||
| Adoption tracked into daily use | ||||
| Cost tied to results, not to time or headcount | ||||
| You own the code and the runbook | ||||
| Repeatable across the portfolio |
CoveredPartialNot covered
TeamFounders who built production systems.
Founders who built production systems.
A bench that deploys them.
Sharad Mirani
Co-founder, AI & Engineering
Built low-latency ML systems for high-frequency trading, and the production infrastructure under them — backtesting through to deployment. Tower Research, Optiver and Goldman Sachs.
Monish Pathare
Co-founder, Business & Operations
Built the analytics and decision systems behind 400M AUM private markets, tying portfolio data to the P&L through KPI frameworks. Lightbox and EXL.
Deployment team
Deployment strategists and forward-deployed engineers
Our team’s experience spans
Advisors
Ankush Thakkar
GTM Strategy
L.E.K. Consulting, where he led the firm’s first AI-in-education work and scaled go-to-market for EdTech and SaaS businesses.
Ravi Lakhani
Capital & Networks
Head of MENA at ABRA Ventures, a $100M deep-tech investment platform. Earlier, digital transformation programmes for large regulated banks.