OpenServ

SERV is the complete AI founder suite. Build, launch, and run your crypto startup in one place.

"Now I can sleep better." - co-founder of Neol, a network intelligence company whose agents just hit 100% reliability thanks to SERV Reasoning - now in production with the UAE government. Thrilled to announce a new case study of the implementation and benchmarks dropping soon.

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.

Governments cannot afford to share sensitive data with AI they can't trust. Neither can enterprises in healthcare, finance, or any regulated sector. SERV is shipping the privacy stack: TEE-backed inference with end-to-end cryptographic attestations - sealed memory, signed execution proofs, verifiable model integrity, using infra already running at production scale. Full-trust AI coming to SERV.

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👇.

Next Phase: Privacy AI Privacy is the trillion-dollar gate to enterprise AI. We are kicking it open with full agent-inference auditability, already live with the UAE government. End-to-end encryption ships next. Batch 2 of the invite-only Beta rolling out now, hundreds on the waitlist. From here, it compounds. Public API. Private inference for enterprises and governments. Then our own SERV-native models. Full stack below. SERV Reasoning ROADMAP: P0: Enhancement Engine (done) P1: Private Beta (now) P2: Public API (next) 2.1 Enterprise Private Inference (TEE + E2EE) 2.2 Shadow Agents 2.3 Verification Hints 2.4 Graph Sharding P3: SERV-native fine-tuned models P4: Purpose-built SERV model from scratch P5: maLLM - morpheme-aware LLM (R&D) Detailed article coming.

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 👇

Another team launching with SERV Reasoning under the hood. Our tech is powering more and more live AI projects. Reasoning infrastructure for agents at every scale - each new one sharpens the engine. Cobot is live!

Greg Ivanov joins SERV as key advisor. ex-Head of Partnerships at Google, GP at 227 - early backers of Pendle, Bittensor, RNDR. He grew Google Play into one of the largest developer ecosystems on the planet - now working with us to scale SERV Reasoning across large enterprises.

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The SERV Reasoning Private Beta is currently live and on fire. SERV Reasoning just beat OpenAI & Anthropic models in production with a new enterprise user. Thoughtproof is building a full-stack AI agent verification layer for banking, compliance, and onchain settlement. This is verification infrastructure for the entire onchain DeFAI economy. Before SERV Reasoning, their system was producing a 12% failure rate. This could be a company killer if not fixed. From the founder himself: ""An evaluator that drops 12% of calls is not a production option. SERV had zero failed calls." With SERV Reasoning their system had > ZERO (0) failures At a cost that was > 100x cheaper SERV Reasoning is literally unlocking new business models, categories, and enterprise AI systems that simply DID NOT WORK before. SERV.

Apply for the Private Beta Waitlist: openserv.typeform.com/to/dG8koJgd

Frontier models weren't built for production agents - SERV is. Receipts from our first private beta builders just proved it: 107× performance per dollar, zero failed calls. Many more to come. --- Benchmark: 120-case PLV faithfulness eval, May '26 thoughtproof.ai

SERV Reasoning Private Beta is live, with hundreds on the waitlist. One of the first teams - ThoughtProof - builds agent verification infrastructure for banking, compliance, and onchain settlement. They ran SERV against their production stack. Result: 107× PPD vs baseline.👇

Enterprises coming to SERV aren't asking for a smarter chatbot. They show up with workflows that must work every time. Frontier models deployed in production, hits 95% reliability, but "almost reliable" falls apart in the real world. That remaining 5% is unacceptable at enterprise scale, where the edge cases hit 1000s of times a day. And that's when they start looking for something else. Not a bigger model. A more reliable one. SERV Reasoning is exactly that. The reasoning layer that closes the gap between demo and production. The UAE government is one example. The pipeline behind them is the more interesting story, and we'll be sharing more soon.