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adaptto.ai

AI for the back-office
of Industrial Businesses

For Manufacturing & Distribution companies

The Team

We are experienced technology entrepreneurs, who have raised capital from top funds like SoftBank, grown and scaled software companies globally.

Giuseppe Belpiede
+15 years scaling technology companies
  • Founded Listopro, recruiting platform for technology talent (sold to Revelo)
  • hellofood Latin America (Rocket Internet venture), acquired by Delivery Hero
Raffaello Starace
+10 years operating technology companies
  • Co-founder of e-commerce scaled to $100M in Mexico (SoftBank-backed venture)
  • Managed ERP, WMS and OMS rollouts
  • Consultant at Booz & Company (now PwC)
Riccardo Russo
+10 years building technology systems
  • Built software for major US companies at Revelo
  • Built and scaled Listopro to a recruiting platform with +2 million candidates
The AI Platform for Industrial Businesses

Make your back office 10x more powerful

Our AI agents resolve manual workflows your back office is struggling with. Starting from these 2 modules:

Our Approach

How we work

1
We focus exclusively on industrial B2B businesses.
We are onboarding new industrial businesses every month, which makes our AI system stronger — more ERP connectors, workflows, and edge cases resolved. Every new client makes the platform better for all.
2
We build AI systems, not one-off projects.
You get a production platform that evolves with your business. We are LLM-agnostic — not locked to any single model provider — so as the AI landscape evolves, we adopt what performs best for your requirements.
3
We are here to stay, and we take risk.
We are partners, not vendors. After understanding your workflow, we are able to offer low/risk free ways of working together: indeed, we are generally able to price our agents based on usage (instead of high implementation costs).
Engineering Standard

How we build

6 layers. Every system we ship includes all of them.

1 Language & Stack Python for AI/ML logic · TypeScript for API layer · all dependencies pinned · reproducible builds
2 Model Routing Right model for the right task · version-pinned · fallback chains · mid-tier for background jobs
3 Orchestration & Agents LangGraph state machines · tiered autonomy · human approval gates for irreversible actions
4 Memory & Retrieval ERP data + document history accessible to the agent · hybrid semantic + keyword search
5 Evals & Observability Every LLM call traced · automated regression tests · alerts on quality drops · HTTP 200 ≠ correct
6 Operational Safety Pre-fire blast radius checks · dedup on automated actions · prompt injection defence · no silent failures

Most vendors ship layer 3 only and call it a system. We ship all six.

Enterprise Ready

Privacy & Security

🔒
Data stays in Europe
GDPR compliant by design. All processing runs within the EU. Your data never leaves European jurisdiction.
🔒
Your ERP is read-only in Phase 1
No write operations to your ERP until you have validated the output quality. You stay in control of every record.
🔒
On-premise option available
Full isolation if required. Local LLM deployment on your own infrastructure — no data leaves your environment at all.
Methodology

First workflow live in 4 weeks

Week 1
Map
  • Flow mapping with your team
  • Data audit & sample collection
  • ERP access confirmed
  • Edge cases documented
Week 2–3
Build
  • AI agent live on real order subset
  • ERP connector integrated
  • Review queue for exceptions
  • Your team tests alongside
Week 4
Measure
  • Benchmark vs manual baseline
  • Accuracy + throughput report
  • Go / no-go decision
  • Expansion scope if green

One business unit · Measurable output

How to start

Free scope sprint

2 sessions NDA No cost No obligation
We map the workflow before we price it.
  • Exact order flow documented end-to-end
  • ERP integration path confirmed
  • Pilot scope defined — one business unit
  • Go / no-go decision before any commitment

"We don't price until we've seen the real flow. That's how we protect you from a number that ends up being wrong."

Thank you.

We look forward to working together.