ICM Analytics

100% data-driven approach for investing in Internet Capital Markets.

[ICM Analytics @icmanalytics]

After spending around $ 1500/month since October on agent inference, we found that @openservai reasoning tech is extremely useful for every task, as compared to latest of the frontier models @OpenAI and @AnthropicAI.

Since trying out SERV Reasoning, our bill went down significantly AND the results are better. None of these other frontier models can actually reason properly. On Arc-AGI 3 benchmark humans score 100, @OpenAI and @AnthropicAI do really poorly

The significance of this should not be underestimated. @openservai opens up a previously non addressable market in the AI revolution - this can actually propel wide-spread enterprise adoption of AI.

Gonna be sharing some benchmark results in a while after we scale up our usage.

[OpenServ @openservai]

Another independent benchmark from SERV Reasoning Private Beta is in.

ICM-Analytics - market intel desk tracking revenue, P/E, adoption - swapped their inference for SERV Reasoning:
- 16x faster
- 9x more efficient
- more signals surfaced

Hundreds more on the waitlist. Apply 👇

[ICM Analytics @icmanalytics]

https://t.co/EkhT00yRGx

[ICM Analytics @icmanalytics]

Damn Q3 tomorrow!

Q2 was a lot of learning, building, making fun and laying the foundation for something unique and worthy.

Did a full database migration, we are now 100% sovereign on the hardware.

June will be security maximalisation month!

The time it takes to cook something useful in crypto is hard, but we got the time the budget and the willpower to do it!

Big thanks to @openservai without their technology we would not be anywhere close where we are now.

A lot still to do!

[ICM Analytics @icmanalytics]

GM sers!

Cooking something on @HyperliquidX

With our new all stars team:

@claudeai @grok @OpenAI @NousResearch

[ICM Analytics @icmanalytics]

@OfficialAped @traderpow @Chairman_DN @wrld_sol @zinceth @ragzyart @4pfcoyote @dedmeow5 @FlippingProfits @_logjam @remusofmars @AceAgain_ @iruletrenches @lilbro Cute and friendly $APED I see

[ICM Analytics @icmanalytics]

@webuildscore is building such exciting tech!

[Max @MaxScore]

tomorrow @manakoai goes live in a fuel station for the first time ever

what started as an idea on a deck is about to become realer than anything i've ever shipped

first time sn44 outputs hit the physical world too

huge thanks to the miners on @webuildscore making this real

and life being life, we're deploying our first vision agent in the city where i was born

see you tomorrow

[ICM Analytics @icmanalytics]

Stop mid-curving and ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042

[Tim @open_founder]

4 years of working with AI models, and using SERV Reasoning is their best experience yet…

Xona is building their own on-chain agent infrastructure, and now with SERV they’ve gained:

- 100% accuracy
- 30+% lower latency
- 5x more cost efficiency

This is not just a nice to have, its a game changer for an entire business.

One of many already supercharging their AI products with SERV, welcome.

[ICM Analytics @icmanalytics]

Upgrading our transcription pipeline.

This thing, autonomously will fire the sickest alpha of the industry.

Powered by @openservai

[ICM Analytics @icmanalytics]

@JSLLL199 @reinaldeze @solana very quite

[ICM Analytics @icmanalytics]

$ORGO rugged. Where do ethics go?

Seems like @solana should just focus on memes.

[ICM Analytics @icmanalytics]

@reinaldeze @solana no idea! Telegram is not accessible.

[ICM Analytics @icmanalytics]

@solana I don't know guys! sad state of affairs after following and tracking those guys.

Seems like the last extraction has been done.

Ben strikes again!

[ICM Analytics @icmanalytics]

Full Transcript:

https://t.co/oPwlXhwiDG

Soon available in a MCP module!

Powered by @openservai reasoning.

[ICM Analytics @icmanalytics]

Incredible bullish spaces today with @openservai and team, some highlights:

Reasoning has become an enterprise tax, and @sundarpichai said it out loud at Google I/O: companies are burning through their full annual AI token budgets by May.

@shuzeld which worked for 12 yrs at Google running Play partnerships, GP at @227_fund (early in Pendle, Bittensor, RNDR), recently joined the ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 team operationally..His reason:

What's ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 brings to the table.

NEOL built an agent stack for the UAE government. 40% failure rate. Couldn't ship. Rebuilt on ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 Reasoning. Now 0% failure, in daily production.

@thoughtproof_ai on stock Anthropic was producing "false allows" in banking compliance audits cleared that shouldn't have been. Switched to ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042. Zero mistakes. In compliance you can't be 99% right.

100,000 API requests already crossed. Public beta opens this week. Audit-graph viewer ships next, the thing no compliance team has today.

During the live Space, a major Ethereum infra team Slack'd @open_founder asking to integrate.

Circle's nano-payments team is in active conversation with ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042.

NEOL's UAE deal was a 1-year sales cycle. Others under NDA.Token burn cut 70–80%. Accuracy up. Switching costs after a six-month integration: enormous.

That's the moat.

The agentic economy needs reasoning to function. ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 is the only team shipping it at production reliability.

After DeFi Summer comes ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 Summer. ☀️

[OpenServ @openservai]

https://t.co/jowmE2Qk8E

[ICM Analytics @icmanalytics]

@ptservlor PT the legend!

[ICM Analytics @icmanalytics]

We will add this the below thesis to our Intel Package for ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042

Accessible by both agents and humans

ICM 2.0 is going to be build on technology we invented ourself.

[fakeguru @iamfakeguru]

ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 101 Thesis

If you're wondering why @openservai started moving, start here.

The market is not just buying "an AI coin." It is only just starting to realise what SERV actually is: agent infrastructure for Fortune 500 enterprises and global governments, already used in production with UAE gov.

Independent benchmarks from early Private Beta of SERV Reasoning engine just landed, and they look insane: as high as 107x better performance per dollar vs frontier models.

People are beginning to see what's happening here. Billions of agents are about to run the global economy. They need infrastructure that actually works.

---

TLDR

Most agent projects are still wrappers. They can talk, tweet, call some APIs, maybe run a cute workflow. But the hard problems in any serious deployment are agent reliability, cost and auditability.

They deliver slop at scale - if an agent is 95% accurate per step, a 100-step workflow only succeeds ~0.6% of the time.

Thats fine for demos, but dogshit for finance, healthcare, public sector, compliance, or any regulated workflow where money and accountability are involved.

OpenServ is attacking that bottleneck with SERV Reasoning, and the insane benchmarks from early private beta, with proof of the tech working are why the market is beginning to wake up.

---

The Problems: agents break, cost a lot, and you can't trace or verify their decisions.

The AI market spent years obsessing over model IQ. Bigger model -> better benchmark -> nicer chatbot.

But production agents, when used in any real environment, do not fail because they cannot write a clever paragraph. They fail because they drift, hallucinate, burn tokens, lose state, take wrong branches, and then build on their own mistakes over and over again.

More intelligence helps, but it does not fix the architecture. It also multiplies the cost, as 'thinking' models simply burn more tokens. Meanwhile, enterprises and governments need agents that can finish the job thousands of times, cheaply, with enough proof that a serious buyer can check and trust what happened.

The data is brutal: Dataiku report says 87% corporations want to deploy agents while McKinsey shows that 80% of enterprise AI displays super risky/unpredictable behaviour. That gap creates a massive opportunity.

Globally, developers spend $300- 500M per week on LLM compute - large enterprises represent a meaningful slice of that. And yet, most of these calls end up being useless AI slop, not fitting for serious deployments.

---

The Solution: SERV Reasoning

OpenServ has been building around these exact pain points since early 2023, before agent coins were even a clean category.

At its core sits its proprietary agent reasoning engine, built by a team with NVIDIA, Amazon AI, and 20+ years of ML systems experience.

Besides the reasoning engine, the platform offers an end-to-end solution for autonomous agents: no-code workflow builder, agent SDK, tokenisation rails, post-launch ops with the AI Co founder stack, coordination, memory, comms, handoffs.

Basically: an entire operating system for autonomous agents.

---

How SERV Reasoning Works

Instead of letting a model freestyle through chain-of-thought and hope for the best, SERV pushes reasoning through structured graphs.

Bounded paths. Defined branches. An extra verification layer around what the agent actually did. Sharded graphs surfacing inference traces.

In plain English: less token waste, fewer weird detours, outputs that stay more consistent when the stakes are real, plus the ability to trace back agent decisions.

This is not just raw inference. Inference platforms sell API calls that simply burn your money to predict the next word. OpenServ is trying to sell reliability per dollar: can the agent finish the job correctly, cheaply, and with enough proof for enterprise buyers to trust it?

Under the hood, the pitch is developer-simple: it's a single-line swap to plug SERV into existing OpenAI/Anthropic-style flows and use the reasoning engine.

---

Where We Are Now: Private Beta Receipts

The recent repricing started because private beta receipts are already proving it works extremely well. Check recent posts by OpenServ to find specific proof points, like this article: https://t.co/hS1e9r92Ql

ThoughtProof, which works on agent verification for banking, compliance and onchain settlement, ran SERV against its production stack. They reported 107x performance per dollar vs baseline, with zero failed calls on a 120-case PLV faithfulness eval.

Then ICM Analytics switched its market intel stack to SERV Reasoning. They instantly saw 16x faster inference, 9x better efficiency, and more signals surfaced across revenue, P/E and adoption tracking.

Then Neol - their agents reached 100% reliability with SERV Reasoning, now live in production with the UAE government.

That last one is the part I think people are still heavily underweighting. Crypto is used to "partnerships" that mean a logo on a website. This is different: reasoning infrastructure in government-grade workflows.

Are you beginning to understand it yet?

---

The Kill Shot: Privacy AI for Regulated Environments

OpenServ recently announced it is shipping TEE-backed inference with cryptographic attestations: sealed memory, signed execution proofs, verifiable model integrity and private inference for regulated users.

Translation: if AI is going into healthcare, finance, public sector or compliance, "trust me bro" is not enough to run customer / patient / citizen data through it.

You need to prove that the data doesn't leak anywhere, how it ran, where it ran, and whether the model/data path can be trusted.

This is exactly the profile OpenServ is chasing: serious institutions with real data, real risk, and no tolerance for black-box agent chaos.

---

Roadmap: Whats next?

P0: enhancement engine ✅ (done)
P1: private beta (👈 YOU ARE HERE)
P2: public API (next)
enterprise private inference
shadow agents
verification hints
graph sharding
P3: SERV-native fine-tuned models
P4: purpose-built SERV model
P5: maLLM R&D

---

The Team

Greg Ivanov just joined as key advisor: Ex-Head of Partnerships at Google who helped scale Google Play into one of the biggest developer ecosystems on earth.

The broader OpenServ bench includes AI/SaaS, CTO with 20+ years in machine learning, NVIDIA PhD researcher, Amazon AI product lead, JPM finance veterans, TRON/TON/Stellar marketing pros and distributed systems people.

It's an AAA team assembled for targeting developers, enterprises, crypto founders and government-grade workflows. Show me another crypto team with this level of experience and network tier.

---

The Tokenomics

25% of platform rev → buyback and burn.

Three main flows feed it:
1) Enterprise contracts and API usage. The heavy hitter.
2) SERV Build - developers shipping agents that run reasoning calls. Every call, more revenue, more burn.
3) SERV Launch - permissionless tokenization layer. Every TGE, every fee, all routes back to main token.

Now get this: as mentioned earlier, developers globally spend $300- 500M per week on LLM compute (and the trend is only accelerating). SERV is the cheaper, auditable layer underneath that curve - every dollar that flows through it burns the token.

Then, we have the L3 SERV-native agentic blockchain catalyst which is a bit further out. It's when reasoning moves on-chain, and every API call settles in directly as the gas of the agent economy.

When that ships, every agent inference in the network is burning the token, permanently.

At the time of writing, SERV is still under 100M which is honestly bizarrely undervalued.

For agent reasoning/orchestration infra serving governments, that is a drop in the ocean. The comp people keep reaching for is $Virtual, which became a multibillion-dollar agent launchpad. $VVV crossed a billion fdv on private inference alone.

But OpenServ's pitch is far broader: not just 'launch a memecoin and call it an agent' or 'talk to a chatbot privately' - but build production agents, fund them, operate your agents on autopilot, coordinate them, and upgrade the reasoning layer underneath to production-grade.

It's a multibillion-dollar monster in the making.

---

The Thesis:

1. Agent reliability is broken and the cost is prohibitive
2. SERV Reasoning attacks that bottleneck
3. Private beta receipts already prove that it works
4. Privacy/auditability opens enterprise/government
5. Base + Solana gives crypto distribution
6. Valuation is tiny vs the category its in

The market does not need every part of the roadmap finished to reprice this. It just needs to see that OpenServ has a real shot at becoming the reasoning and orchestration layer for autonomous businesses, Fortune 500 enterprises and governments.

---

And THAT, dear sir,
is why is beginning to move.

---

Btw, team is very active with the community on TG and often drops fresh alpha there.

Join here to frontrun ecosystem news: https://t.co/JSXD7bx9Ke

[ICM Analytics @icmanalytics]

Exciting tech and an exciting launch.

@craftsdev has a unique approach on the Internet Capital Markets and will be closely watched by our team.

[Crafts @craftsdev]

Introducing the first sealed-bid auction on Solana, open to everyone.

Raise Zero is a mock raise for fair price discovery, inspired by the mechanics behind Google’s IPO and U.S. Treasury auctions.

Enter now ↓

[ICM Analytics @icmanalytics]

@_Ruimtepak @openservai @OpenAI @AnthropicAI It really opens up new possibilities in AI

[ICM Analytics @icmanalytics]

After spending around $ 1500/month since October on agent inference, we found that @openservai reasoning tech is extremely useful for every task, as compared to latest of the frontier models @OpenAI and @AnthropicAI.

Since trying out SERV Reasoning, our bill went down significantly AND the results are better. None of these other frontier models can actually reason properly. On Arc-AGI 3 benchmark humans score 100, @OpenAI and @AnthropicAI do really poorly

The significance of this should not be underestimated. @openservai opens up a previously non addressable market in the AI revolution - this can actually propel wide-spread enterprise adoption of AI.

Gonna be sharing some benchmark results in a while after we scale up our usage.

[OpenServ @openservai]

Another independent benchmark from SERV Reasoning Private Beta is in.

ICM-Analytics - market intel desk tracking revenue, P/E, adoption - swapped their inference for SERV Reasoning:
- 16x faster
- 9x more efficient
- more signals surfaced

Hundreds more on the waitlist. Apply 👇