Two Integrated Platforms.
Complete Sovereignty.
Train custom SLMs on your data. Deploy AI agents on your infrastructure. Zero vendor lock-in.
Loop Q: SLM Training Speed
Loop Q trains custom Small Language Models on two years of enterprise knowledge work in under 15 minutes—no data scientists required, no generic models, no fine-tuning.
2 YEARS
YEARS of human work
2
Unsupervised
learning
>
15 MINUTES
15
MINUTES
for Loop Q
Loop AI Agents Orchestra:
Industry Validation
AI agents powered by custom SLMs have been validated in mission-critical Fortune 100 environments—including an agent that has autonomously processed millions of dollars of financial transactions for a major bank over several years with no issues.
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Insurance
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Banking and Financial Services
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Government and Defense
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Telecommunications and Media
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Manufacturing and logistics
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Automotive and Transportation
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Healthcare
Validated with Large Enterprise in the Following Industries
Validated with Large Enterprise in the Following Industries
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Insurance
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Banking and Financial Services
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Government and Defense
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Telecommunications and Media
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Manufacturing and logistics
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Automotive and Transportation
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Healthcare
Global Deployment Since 2015
Loop's language-agnostic SLMs broke linguistic barriers first in Asia, then scaled to Europe and the USA—years before the mainstream AI boom. Custom-trained models deliver consistent accuracy across any language without dictionaries or grammar rules.
Validated in the Following Markets
Validated in the Following Markets
Cost Savings with Loop AI Agents Orchestra
TRADITIONAL
WORKFORCE
Traditional human knowledge workforce
LOOP Q
PLATFORM
Intelligent augmented digital workforce
$0.6
Loop AI Agent Hourly Cost
$17
Avg Hourly Cost of Human Knowledge Workers
COST PER HOUR
Unsupervised
Continuous and autonomous self-learning
Training
Requires education + management
COST OF SUPERVISION
Paid time off
Paid vacation, sick days, holidays, events
24/7 Work
Tireless workforce
always productive
COST OF TIME OFF
Human error
20% human error rate
Accuracy
Increased accuracy by 80%
