Operators run the company. Agents run the work.
GDPi systems help experienced operators build $5M–$100M AI-native businesses with superior margins and stronger cashflow.
See how GDPi operates companies like yours — and what the first six months look like.
The thesis, the proof from tenant zero, why now, and how GDPi earns.
Bring the operating knowledge. We bring the mirror, the agents and the engineers.
What we look for, how we work, and what you'd be operating.
The business doing $5M–$100M in annual revenues doesn't need 100 FTEs. It needs the right 4–10 FTEs with GDPi AI systems.
Your systems of record stay exactly where they are. We mirror them into one unified, tenant-isolated data layer with real schemas.
Agents run finance, merchandising, procurement and CX against that data. Reads are automatic, writes are approval-gated.
Every operation emits a structured trace. Traces become training signal — each business sharpens the next.
Four primitives. One operating layer.
GDPi — General Data + Process Intelligence — is infrastructure, not a chatbot bolted onto a SaaS product. Every business we run gets the same four parts.
Shopify, QuickBooks, Plaid and WMS mirrored into a tenant-isolated database with OAuth, webhook ingest and a query layer the agents can use.
An isolated agent runtime per business, pre-loaded with its identity and workflows. Read tools automatic, write tools approval-gated, memory persistent.
The operating app the team actually uses: one dashboard across every connected system, live data views, agent activity and the approval queue.
How we provision and watch it all — tenant provisioning, agent health, trace drill-down and integration status across every business.
A custom operating stack, built per business.
The surface the operator actually uses. Dashboards, workflows, and controls shaped to the business — not a generic SaaS skin.
P&L, customer, inventory, and ops data modeled around how this business actually runs. One source of truth the agents and humans both work from.
Agents trained on the business's own workflows — merchandising, finance, CX, reporting — executing the repeatable work underneath the operator team.
PER BUSINESS
One size does not fit all.
Pick the shape that fits the business. Each one puts the hybrid human + agent operating layer in the seat — the commercial model is what changes.
We stand up a new business — or a new line inside an existing one — on the operating layer from day one. We co-build, take equity, and ship.
We license the operating layer to an existing business and run it alongside the team. Fixed fee for the system, upside tied to the margin we unlock.
We sit on top of a portfolio company as the operating layer. Engagement fee for the seat, carry on the value we create. Built for PE-backed transformations.
The First 6 Months.
We sit shoulder-to-shoulder with operators — understanding the business first, then operating and rebuilding it with AI-native applications, workflows, data structures, and agents underneath the team.
Two-week dive into P&L, team, workflows, and customer data. Joint thesis on where margin actually leaks and what to do about it.
Hybrid human + agent operating layer goes live across go-to-market, finance, ops, and reporting. Operators in the seat, agents underneath.
Cost base re-aligned to the work that compounds. Unprofitable surface area falls away. Margin starts to bend before revenue does.
Headcount flat or down, net income materially higher, every workflow instrumented. The next quarter starts from a stronger base, not from zero.
A luxury brand. 4× net income on half the revenue.
Strong brand, loyal customer, bloated cost base. We put a small operator team on top of an agent layer running merchandising, CX, finance, and reporting — then focused the company on the work that actually compounds.
Operators make the calls. Agents do the repeatable work at near-zero marginal cost.
Full-price, full-margin product and customers. Cut the rest.
More earnings per dollar — without touching the brand.
Over 28+ years building businesses.
Two decades sourcing, producing, and shipping for global apparel, accessories, and lifestyle brands — from Mumbai factories to US and EU retail.
Cross-border production and trade operations across seven countries. 1B+ units made, $300M+ sold, end-to-end ownership of cost, quality, and delivery.
Founder of Manufactured — AI-native Fintech lender, built an in-house Agentic system in 2023 from the ground up to automate internal operations.
Helped SMBs make, finance, and distribute goods globally. Hands-on across working capital, inventory financing, and the unglamorous middle of moving product.