Step 1Start here
Add an AI layer
Reads your ERP and data to show what’s going wrong, where, and the cost.
Example: spoilage traced by press and shift.AI Intelligence Layer →
AI layer for ERP, manufacturing and print-on-demand Your systems. Your data.
Add AI.
- 1
Layer intelligence on top.
- 2
Modify what’s holding you back.
- 3
Build what’s missing.
Vendor drift
+3.2 daysvs promised lead time
Spoilage alerttoday 09:14
Press 4 · DTG
315 blanks spoiled this month, 41% of all spoilage. Mostly black tees on the night shift.
≈ $1,890 lostReview →
Trusted by teams at
Crateful
Sprint PodLive in under 5 days3–7 specialists and a Pod Lead
Who we are
Torno Solutions is an AI company. We start with an AI intelligence layer on the systems you have, and go deeper only when it pays. Our Sprint Pods, small AI-native teams, plug in within days.
350+engineers across three continents
17+clients served
Daysto stand up a Pod, not months
3offices: Chicago, New Jersey, New Delhi
What we do
Three ways we apply AI. Start with the lightest.
Most clients start at step one. Each step after it has to earn its place.
Step 2When a system is the constraint
Modify what you run
Modernize, integrate and extend core systems without stopping operations.
Example: an ERP rebuilt with zero downtime.Modernize & Integrate →
Step 3When something is missing
Build what’s missing
New AI-native products and MVPs, built and shipped in two-week sprints.
Example: an AI underwriting MVP in 12 weeks.AI Product Engineering →
All three are delivered by our Sprint Pods. How Pods work →
What the layer shows you
Your data, turned into a named problem with a cost.
The layer reads what your system already records and answers one question at a time. Here is what a spoilage view looks like.
Blanks bought31,420
Garments shipped30,652
Spoiled768 2.4%
Cost of spoilage≈ $4,600
Spoiled blanks by pressshare of total
Press 4 · DTG
315 · 41%
Press 5 · DTF
112 · 15%
Press 1 · DTG
96 · 13%
Press 2 · DTG
88 · 11%
Embroidery 1
83 · 11%
Screen 3
74 · 10%
Finding
Press 4 spoils about three times as much as the next press. Most of it is black tees on the night shift, starting after 4 September. Worth checking pre-treatment settings on that press.
The problem
Why AI stalls in real businesses
The AI-readiness gap
The data is there. Nobody has time to turn it into decisions.
Rip-and-replace is too risky
Replacing a live system to get AI is slow, costly and disruptive.
Scaling gaps
Hiring AI and engineering talent takes months you don’t have.
Fragmented execution
Vendors hand over code and leave. Nobody owns the outcome.
Operations-heavy companies don’t need a new system to get value from AI. They need intelligence on the one they already run, and a partner who can go deeper when it’s worth it.
Who we serve
Two kinds of clients, one approach: start with what you already run.
Operating businesses
AI on the ERP you already run. We read your orders, jobs, purchasing and shipments and show where margin leaks.
- Spoilage and waste
- Cost-to-serve by client and channel
- Early warning on vendors and ship dates
Tech builders
Build and scale AI products with Sprint Pods that work inside your tools and ship tested software every two weeks.
- AI-native MVPs and platforms
- GenAI features and integrations
- Modernizing what you’ve outgrown
Featured specialization
Print-on-demand & decorated apparel
We’ve worked inside a live print-on-demand operation for more than a year. Keep your system. We find the margin it isn’t showing you.
Explore POD →SpoilageBlanks bought versus garments shipped, reconciled by job, method, machine, shift and vendor.
Cost-to-serveWhich clients and channels make money, and which cost more than they pay.
Catch it earlySlipping vendor lead times, orders likely to miss a ship date, and wrong purchase orders.
13+ monthsembedded with the Stakes Manufacturing team
0production pauses through a full ERP modernization
AI layernow shows where spoilage happens across the company
Stakes Manufacturing, print-on-demand apparel.
Clients
What clients say
Torno gave us delivery continuity with better cost control than any of our previous partners.Andrew · Investor Partner, DAIS
Torno’s hybrid Pod gave us onshore alignment with offshore velocity, exactly what we needed.Tim Shoda · Chief Technology Officer, Stakes Manufacturing
Torno was more than an engineering partner. They were my product team from day one.Aman · Co-founder, Cadastral AI
FAQ
Questions we hear first
Do we have to replace our ERP?
No. The AI layer reads the data your current system already holds, with read-only access. Nothing in your system changes.
What data do you need to start?
Usually what you already have: orders, job records, purchase orders, shipments, and any defect or reprint logs.
How fast do we see a result?
First findings come from one workflow on your own data, in weeks rather than months.
When would you modify or rebuild instead?
Only when your current system is the constraint. Then our Sprint Pods modernize that part or build a replacement, without stopping operations.
How fast can a Sprint Pod start?
Pods typically ramp in under five days.
Start here
Bring us one problem.
Something repetitive, expensive or invisible in your numbers. Pick one, or bring your own.
Book a 30-minute call →
Topic: Spoilage & waste
- 1A 30-minute callWe learn the workflow and what it costs you.
- 2A read-only lookWe map the data your system already holds.
- 3First findingsOn one workflow, in weeks rather than months.