Teams with painful operational friction and cross-system handoff issues.
About
A boutique partner for operators who need real progress.
Kettle Logic builds custom software, intelligent workflows, and agentic AI for B2B teams that need real operational progress now. We work as a high-touch delivery partner while collaborating with select early adopters to shape repeatable capabilities.
Founder
Matthew Loschiavo
Founder & CEO
Matthew founds and leads Kettle Logic. He's a hands-on technology and digital-transformation leader with 20+ years building and operating enterprise cloud, AI, and distributed systems at scale — environments serving 20,000+ business customers, 10M+ users, and 50M+ transactions an hour.
As VP of Engineering, Cloud & Platform Architecture he ran multi-cloud (Azure / AWS / GCP) and GPU + Kubernetes platforms behind enterprise AI — LLMs, RAG, vector databases, and agents — with the governance and cost discipline most teams skip. Earlier chapters went deep on enterprise data — master data (MDM / PXM), product information, and the SQL, big-data, and NoSQL platforms beneath it — solving correctness and performance problems across billions to trillions of records. That scar tissue is exactly why Kettle Logic treats clean, trustworthy data as the real prerequisite for AI. He writes the strategy and ships the systems.
- Georgia Tech
- USAF veteran
- USCG Master Mariner
- FCC Amateur Extra · GROL · GMDSS
- M.S.E. AI — Quantic (First Wave Fellow)
- Dual US–Italian citizen
Author
Before You Buy the GPUs
What Leaders Get Wrong About AI Strategy, Cost, and Readiness
// the thesis this company is built on: AI is an operations problem, not a shopping list.
The goal isn't buzzwords — it's faster execution, lower rework, and cleaner decisions.
A staged path from friction to capability.
- 01
Discovery and architecture sprint
We map the real workflow, the systems involved, and where friction actually lives — then design the architecture before writing a line of code.
- 02
Paid pilot or prototype
We ship something narrow and real you can put in front of users, so value is proven before scale-up commitments.
- 03
Production implementation and enablement
We build the governed software and intelligent workflows into production, then enable your team to own and extend them.
- 04
Optional support and productization transition
We stay close where it helps and, when the capability is repeatable, transition it toward a productized form.
Best fit for teams ready to co-build.
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Leaders who want to move faster than off-the-shelf tools allow.
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Operators willing to co-build, iterate quickly, and become reference accounts.
Let's see what's possible.
Start with an assessment of your platform and operating model — or step into the work directly as a design partner.