The prompt: "Should I take my car to the carwash 50m away or walk?"
GPT: Walk, it's closer.
SERV: Walking won't get your car washed.
Most models predict. SERV reasons.
at google play we looked for teams that had an "unfair advantage"; at least one of the following:
- a tech moat (proprietary IP, novel architecture)
- a structural moat (switching costs, lock-in)
- execution speed and quality (a moat in itself, especially in commoditised verticals)
rarest of unicorns are the ones that can combine all three.
with @openservai we're seeing how they all combine -> genuine tech differentiation in reasoning architecture. structural lock-in once enterprises integrate. a team executing faster and cleaner than anyone else in the category.
SERV is on its way to become the AI infrastructure for The Fortune 500.
Akretic is yet another example validating it.
They are a security layer for finance, healthcare, government & defense -sectors with the strictest reliability requirements in AI.
They just plugged into SERV and got blown away.
"It has done a better job than several of the other frontier models."
- Sean Williams, founder of Akretic.
This is what the next decade of Enterprise AI runs on.
SERV is inevitable.
time to zoom out. AI demand is going vertical, opening multi-mil opportunities if you catch this curve
@openservai ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 is positioned perfectly, shipping agentic infra for Fortune500s, autonomous biz, and governments
-> already in production with UAE & enterprise clients
$SERV models just beat Claude by 6 points with 0 false allows, this is just insane! 🤯
Enterprise-grade agents that beat frontier models at 40M MC is a wild mispricing by the market...
...which means much higher for $SERV 📈
More Agents by 2030 than humans.
An economic shift never seen in human history.
A product that all agents need to excel at designed tasks.
Is ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 Reasoning the "water" that all agents need to survive?
Are you willing to be sidelined if it is?
NEVER SELL ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042
GastroSight - agentic OS for the food industry - is moving agents to SERV across inventory, controlling, and operations.
90% in savings. Failure rate: 10% -> 0%.
The math is impossible to ignore.
Once builders see SERV in production, they move over.
https://t.co/xByTe16rRA
New @thoughtproof_ai benchmarks dropped showing $SERV models outperform @claudeai and @Gemini achieving 81.3% accuracy with zero false positives.
Gemini had 52 false positives highlighting the difference between enterprise-ready solutions and demoware.
GastroSight, a restaurant chain with 11 locations and 5 new chains, switched to $SERV, reducing costs by 90% and eliminating failures with one line of code.
Two independent validations in one day and this is only Private beta batch 1; at sub $50M now imagine batch 10
These successes demonstrate the practical adoption of $SERV, rather than merely relying on hype.
A month ago I told you that you should pay attention to hard workers like $SERV
Now? People are finally starting to PAY ATTENTION, because $SERV is one of the only REAL, DOXXED, AI builders with a REAL user base of serious companies.
This deserves a true adoption