One AI platform. Two ways to build value.
Myndshare launches new AI companies with domain experts — and acquires underperforming businesses to turn them around. Both run on the same spec-driven, human-governed AI platform: production systems, not slide decks.
Turn your domain expertise into a profitable AI business — we build, validate, and scale it with you.
- Working MVP in weeks, evals built in
- Clean incorporation, IP, and legal scaffolding
- Capital strategy and PE/VC introductions
Acquire underperforming retail & CPG businesses and rebuild them on an AI platform — under human governance.
- GO / NO-GO viability verdict before you bid
- 13-week cash control gates every build dollar
- Replacement systems live in 6–9 months
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One platform. Two streams.
Every engagement runs through the same disciplined lifecycle — document, review, define, build — specialised by stream. Build a new AI company, or turn around an acquired one.
Acquire underperforming retail & CPG businesses and turn them around with an AI platform — replacement systems live in 6–9 months, EBITDA inflection by month 12–15.
- Objective-first diligence
- Retrench before recovery
- Systems, not slideware
Turn what you know into a profitable AI business.
- Capital readiness
- Clean incorporation & IP
- Evals built in
One engine underneath both streams
Whether we're building a new AI company or rebuilding an acquired one, the work runs through the same four engines: discover the real operation, inventory the systems, build to spec, then operate and optimise under human governance. That's the moat — a platform that compounds with every engagement.
Extracts and models a business as an attributed process graph — domains, journeys, activities, roles, systems. The AS-IS state in weeks, from event logs rather than opinions.
Maps the full application estate — every system, API, dependency, and health signal. Quantifies tech debt and shows exactly what to keep, replace, or retire.
A spec-driven development pipeline: governed specifications, typed contracts, and acceptance harnesses on every build. Production-grade systems, not prototypes.
90+ retail-domain microservices and AI agents covering pricing, promotions, inventory, supplier collaboration, and supply-chain analytics — operating under human gates.
Every system is generated from governed specifications with typed contracts and acceptance tests — quality is measured, not assumed.
AI agents earn autonomy through a four-level trust ladder; material decisions always pass a human gate.
Decisions, gates, and artifacts land in a tamper-evident trail a board, investor, or lender can inspect.
The turnaround stream, end to end
A PE-grade operating capability for underperforming retail & CPG assets. Objective diligence before the bid, cash control before the build, and a value-creation plan implemented as production systems — not slideware.
Most turnarounds fail on two things: buying the wrong asset, and spending on transformation before the cash is under control. The stream is built around both — five scored diligence lenses resolve into a GO / CONDITIONAL / NO-GO verdict with named kill criteria, and a 13-week cash forecast gates every build dollar until stabilisation lands.
Then the platform does what consultants can't: it implements the plan it scoped. Replacement systems are generated to spec and cut over per slice, and AI agents run the commercial operation under human gates all the way to an evidence-backed exit.
From founder expertise to AI company
The venture stream, end to end — a workflow designed to compound domain knowledge into an operating application.
From idea to strategy
Turn your expertise into a focused business plan with clear revenue potential
Your Part
Share what you know best and the problems you solve daily
Describe the biggest pain point in your industry
Our Work Together
Identify which part of your workflow has the highest ROI for automation
Map out who will pay for this solution and why
Create a one-page business plan with revenue projections
What You Get
Business plan + target customer profile + revenue model
Validate before you build
Prove customers will pay before writing a single line of code
Your Part
Introduce us to 3-5 people who have the problem you're solving
Join weekly 30-min calls to review what we learned
Our Work Together
Interview potential customers and test simple prototypes
Measure if they'll actually pay and how much
Adjust the solution based on real feedback, not guesses
What You Get
Customer interviews + pricing validation + go/no-go decision
Build your AI application
From validated idea to working product in weeks, not months
Your Part
Share examples of how you currently solve the problem
Test the app weekly and tell us what feels wrong
Our Work Together
Build the AI application with your expertise baked in
Set up monitoring so you know if anything breaks
Deploy to real customers and collect payments
What You Get
Live AI application + payment processing + customer dashboard
Launch and iterate
Get your first paying customers and refine based on real usage
Your Part
Review documents and sign where needed (we guide you)
Decide how equity is split between founders
Our Work Together
File incorporation and set up your company properly
Protect your IP and ensure you own what you build
Create contract templates for customers and partners
What You Get
Incorporated company + IP protection + customer contracts
Scale your business
Grow from 10 to 1,000 customers without hiring a team
Your Part
Focus on talking to customers and closing deals
Make strategic decisions about product direction
Our Work Together
Automate customer onboarding and billing
Create playbooks so you can handle issues yourself
Scale infrastructure to handle 100x more users
What You Get
Automated operations + support playbooks + scalable infrastructure
Built with access to scale capital
Capital strategy and introductions for founders when the signal is real — and aligned, deal-by-deal structures for sponsors backing a turnaround.
Incorporation + legal framework built in
De-risk the early phase so founders can validate quickly and scale cleanly.
Common questions
Short answers to reduce friction — for founders building a venture and sponsors weighing a turnaround.
Briefs, playbooks, and signals
Short-form intelligence artifacts designed to be executed, not just read.
Talk to us
Tell us what you're building and what domain you want to scale.
If you have domain expertise and a problem worth automating, we'll help you ship, validate, and operate an AI-powered application with speed and rigor.
If you hold — or are eyeing — an underperforming retail or CPG asset, we'll bring the diligence verdict, the stabilisation discipline, and the platform that implements the plan.