bull and bear 💰👁️

📉📈

[bull and bear 💰👁️ @pi2new]

$SERV 📈📈📈🎯

[OpenServ @openservai]

Greg Ivanov is joining SERV advisory.

As ex-Head of Partnerships at Google, he has world-class experience in scaling developer ecosystems such as Google Play.

Next Wed at 5 PM UTC, Greg is joining us on Spaces to talk about where SERV is heading and why now is the moment👇.

[OpenServ @openservai]

Regulated industries have one hard rule for AI agents: if you can't explain it, you can't deploy it.

SERV Reasoning Audit and Graph Sharding solve it: making every decision traceable, auditable and provable.

Audit at scale is what moves enterprise AI from pilots to production.

[Degen Ape @degenApe22]

I don’t see a future where $SERV isn’t the default reasoning standard powering every single model in the market

1 Simple line of code change to give mind blowing results proven in multi industries in live beta

Network effect will propel adoption fast & pa even faster

[OpenServ @openservai]

Robotics is another industry running on SERV.

@Roba_Labs compared SERV to Claude across 40 tasks on a Unitree G1 Humanoid: file edits, sim-to-real workflows, robotics asset packaging.

"SERV matched Claude's output quality - and cut our AI costs by over 80%. That benchmark result changed our roadmap. serv-standard is now the default model in ROBA Studio."

- Farid Hossain, founder of Roba Labs

[bull and bear 💰👁️ @pi2new]

ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042

[Greg @shuzeld]

scaling comes from insanely obsessive focus on users’ needs.

Thx to @bchesky via @paulg for for inspiration

[Karamata_ 💎 @Karamata2_2]

🔥 $SERV has increased nearly 10x since my call near the bottom, but I still think it’s undervalued. It just needs a bit more momentum to break through the $0.08-$0.095 resistance zone before reaching a new ATH.

Market finally waking up to the fact that @openservai is going after the real bottleneck of AI becoming stupid expensive to run at scale.

GPT pricing already went from ~$10/M to ~$30/M across newer iterations and big tech internally already talking about AI budgets getting torched in months.

SERV’s whole thesis is built around that exact pressure point with its reasoning framework called BRAID.

Rather than letting models yap endlessly in natural language and farm token costs every reasoning step, SERV compresses reasoning into structured graphs first then lets tiny nano models handle most of the execution loops.

$SERV claims:

- up to 74x lower reasoning cost

- 99% reasoning accuracy

- 3x faster than GPT-5.4 at ~20x lower cost

- 107x better performance-per-dollar in production-style evals

If even 10-20% of that efficiency delta is real, enterprise AI economics changes completely.

AI that costs 50x less while staying accurate enough is infinitely more valuable than a model writing prettier essays.

Team execution probably added a ton of fuel too:

- UAE production deployment

- meeting Tier-1 banks in Nairobi

- enterprise AI validation partnerships

- government/compliance/security angle

- invite-only engine rollout

- distribution hires with Google Play scaling background

$60M valuation still feels relatively small compared to the TAM they’re targeting.

Fair value honestly should be closer to $VVV when they’re positioning themselves at the center of a multi-trillion dollar AI infra transition.

If scared of nuking into a local top just ladder bids slowly.

Billions coded.

[OpenServ @openservai]

Another production agent left Gemini for SERV.

SERV is inevitable.

[Xona Agent @xona_agent]

Our agent just got a major upgrade - XONA agent is now powered by SERV Reasoning by @openservai.

We have been testing SERV in the Private Beta and it has far outpaced our default production stack running on Gemini frontier model. SERV delivers faster responses at a significantly lower cost, while maintaining the same 100% reliability in our workflow benchmark.

SERV Reasoning vs. Gemini on our agent workflow:
→ Accuracy & reliability: 100% for both models (20/20)
→ Latency: SERV responded 1,004 ms faster
→ Cost efficiency: SERV is 5x more cost-efficient

This upgrade helps us deliver better-performing resources for agents across the Agentic Commerce ecosystem.

Same reliability. Faster execution. Lower cost

[bull and bear 💰👁️ @pi2new]

ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042

[Josh | Ondo 🌊 @josh_recruits]

The crypto ecosystem is full of noise.

Riddled with vapourware and projects that lack product market fit.

Its not so often that im excited by much being built outside of Ondo.

I must say however, that im rather impressed by the @openservai team and their recent successes.

[Tim @open_founder]

Breaking: Product-market-fit for SERV Reasoning is here and is here to stay.

Anthropic currently does 25x subsidization to acquire their users. $200 in user spending incurs $5000 in costs on their books.

Their shareholders won’t allow this to last. Pricing WILL go up.

And concurrently, raw token consumption is exploding.

A solution that makes AI agents usable in high stakes settings with economics that actually work at scale, is desperately needed.

That solution is SERV Reasoning, and it’s already being adopted at lightning pace.

We’ve been working towards it for 2 years by a cracked research and engineering team.

The entire agent economy needs SERV Reasoning, it won’t work without it.

[bull and bear 💰👁️ @pi2new]

$serv

[fakeguru @iamfakeguru]

$SERV is the top gainer in last 14d in all of crypto - and this is just a warmup, with all it has coming on Enterprise AI.

[Greg @shuzeld]

What you're seeing is @openservai running part of the same playbook that took Android & Google Play to 70%+ of the global smartphone OS market, and 85%+ in emerging markets specifically.

- go where the market is growing fastest and served worst
- ship a product tailored to that market on price and UX
- build distribution moats that compound faster than competitors can copy

Absolutely love seeing this come together.

[AlΞx Wacy 🌐 @wacy_time1]

So this is crazy.

$SERV COO just revealed he meeting with heads of large banks, and already taking off the institutional onboarding phase for SERV Reasoning.

Institutional AI is a multi-trillion $$$ untapped market, so its clear to me this pump is just a little warmup.

To explain why this is a big deal, you gotta understand the background.

Frontier LLM costs are going up each cycle, and the biggest companies in the world are feeling it. Even Microsoft announced it can no longer afford Claude. Enterprise AI can’t scale unless someone fixes this.

$SERV has been on my radar because they are the only legit project solving exactly this problem (2 years r&d), delivering savings on high quality agent infra at enterprise scale.

And no wonder its taking off. We’ve seen metrics as high as 107x better performance-per-dollar, independently reported by companies running it live. Real PMF, real clients, real usage - and the best part is that it takes like 2 minutes to start using SERV tech cause its a single-line swap

Token is embedded directly the infra adoption and the whole eco with value accrual which is mega bullish. What makes this different: team is already plugged into the UAE's new AI program. Thats government adoption at a very early stage.

Based on recent signals it seems the AI affordability crisis is the next major narrative. $SERV is the frontrunner and the market is only just waking up to whats coming, as they are getting close to the heart of enterprise AI. Serv engine access is still in invite-only beta, just imagine what happens when they open the gates.

I should just add this is a mega-stacked team, with CTO 20+ years in machine learning, NVIDIA folks, others ex-Google, Amazon AI, JPM veterans.

TLDR is, $SERV is building s-tier infra for enterprise agents, governments and the entire autonomous economy. Easily a multi-billion story.

Stacking it here cause its clear the real move hasn't even started.

[𝔊𝔥𝔬𝔰𝔱 @_0xghost_]

Posting this for broader awareness. $SERV already works with UAE govt, this week they meeting with large banks in Africa, which is one of fastest growing regions in the world. My investment thesis remains intact.

[bull and bear 💰👁️ @pi2new]

$serv

[Lucas (opn/srv) @lucashafner]

With the incredible early success of SERV Reasoning, I’ve been focused on accelerating adoption across two key domains:

Bigger institutions.
Global scale.

This week, I’m in Nairobi meeting with some of the largest banks in the region, including pitching heads of corporate credit, IT, and risk (among others) inside executive boardrooms at Tier 1 institutions with over $7B in collective AUM.

East Africa and Kenya in particular is the highest growing credit market in the world. As banks increasingly look to adopt AI, especially in emerging markets where credit is growing rapidly, the opportunity is obvious: major bottlenecks and archaic processes are waiting to be solved.

But for financial institutions, adoption only happens if the technology clears a high bar: auditable outputs, reliable performance, and sustainable cost. So far, we’ve heard that previous attempts at AI integration have largely stalled because they failed on reliability, cost, or both.

That’s where SERV Reasoning comes in.

To power products that actually move the needle, and that institutions can rely on to deliver results at an economically feasible price.

But product is only one side of adoption.

In enterprise, especially with major institutions in emerging markets, distribution can matter just as much, if not more. Sales cycles are long, trust is earned through relationships, and adoption often depends on being in the right rooms with the right stakeholders.

That’s why being here on the ground matters.

[DanzoDirect 🐸 @DanzoDirect]

Day 2 of bull posting $Serv until it hits a 1B m.c

Iykyk

[Altcoin Matcha @AltcoinMatcha]

ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 IS SOO EARLY...its a joke how people are willing to lose there port for a pleasebro.

@openservai tech is worth billions a real Ai existing company building quietly since 2023.

Team is ex Google Head of Partnerships, scaled Google Play, early investor in Bittensor, RNDR, etc.) Strong technical backing (Nvidia researchers referenced) and traditional finance experience Private beta "on fire" with active enterprise deployments

[bull and bear 💰👁️ @pi2new]

$serv 🎯🎯🎯🚀🚀🚀🚀

[OpenServ @openservai]

SERV makes every new model stronger.

Qwen 3.7-Max just launched and was immediately integrated with our engine.

Armed with SERV Reasoning, it officially beats all frontier models on our DeFi benchmark, with a 92.61 score.

Live in Private Beta.

[Tim @open_founder]

The writing is on the wall for SERV Reasoning.

few.

[OpenServ @openservai]

Another team chooses SERV Reasoning to handle real money.

Billz runs AI-powered treasury execution - real funds & true accountability.

When decisions have consequences, frontier models aren't enough -
SERV is what companies reach for to ensure reliability at enterprise scale.

[bull and bear 💰👁️ @pi2new]

$SERV

[DEXLaboratory @DEXLaboratory4]

Both $SERV and $NEAR doing well as expected on the bounce

$TAO lagging honestly, but patience will pay off