@open_founder

Exactly this. Making smaller models smarter is the real fix. This way enterprise AI can unlock reliable 3x, 5x, 15x, 50x, and even 100x cost reductions. 2 years of R&D is behind us at OpenServ. Working deeply with this technology day in day out to bring a first-of-its-kind reasoning and language architecture for LLMs to market. We’re currently running multiple threads to seize this moment happening right now. In person meetings, activating networks within our 15-man team, growth team active IRL in San Francisco, events, leveraging distribution channels like AI development service companies with ties to institutions, cold calling, and more. Firing on all cylinders to cement OpenServ as core AI agent infrastructure used by startups, enterprises and governments globally.

More serving coming our way.

Auditability is the most overlooked blocker to enterprise AI adoption today, and SERV Reasoning solves it like nothing else. Dive in to understand why.

Currently around 80-90% of enterprise AI agent pilots fail and don't make it to production. We're bringing that number down to ZERO. AI agent failures is the biggest painpoint in enterprise AI adoption today, and we're solving it at OpenServ. v1 of SERV Reasoning is live in private beta with enterprises today and its already doing a tremendous job, but it's just the beginning. We're not far from rolling out v2 of SERV Reasoning with our upcoming "Shadow Agents." If an agent's output doesn't meet the requirements, it executes recursive validation loops to learn and retry until it succeeds. We're achieving fantastic results internally and can't wait to roll it out to more users soon, getting closer and closer to 100% reliability across high-stakes agent deployments. Solving this problem unlocks a massive market opportunity, and we're already well underway to achieving it. Each new enterprise conversation and bit of adoption snowballs into more data, more learnings, more credibility, more adoption, and a better product with a bigger moat. The snowball is snowballing, hard.

The frontier we care about most: high-stakes agent deployments across banking, compliance, healthcare, fintech, governments. And this is where we are going all in. We are expanding an insanely cracked enterprise BD team that is now in full attack mode, activating hundreds of organizations across two core buckets: > Recently funded companies above $1B valuation across healthcare, legal, fintech, banking, and more that are confirmed to be building with AI agents. > Fortune 500 and Nasdaq-listed companies that have publicly announced AI agent usage. This is being supported by the deep network our team has built over years. For example, Greg, our new advisor and previously Head of Partnerships at Google, has already been instrumental in opening up incredible conversations. We are going all out on enterprise growth, with the weight of 1000 ships behind us, getting SERV Reasoning into the industries where our value proposition is not just a nice-to-have, but a must-have. Less than a handful of weeks into private beta, we already have companies across banking, DeFi, prediction markets, robotics, restaurants, services, HR, compliance, AI verification and more using SERV Reasoning to unlock agents in production. Excited to bring everyone along for the ride. Tune in to follow our progress as it continues to accelerate.