Solvd, Inc., a Walnut Creek, California-based AI engineering company, has been named an OpenAI Select Partner, joining the OpenAI Partner Network that launched in June 2026.
The company, which has more than a decade of experience delivering engineering services across technology, ecommerce, retail, fintech, hospitality, and banking, is positioning the partnership around a simple argument: access to frontier models is no longer the differentiator it was two years ago.
What separates companies now is who actually knows how to wire those models into a business without breaking everything around them.
The network sorts members into three tiers, Select, Advanced, and Elite, ranked by sales performance, technical depth, and how many real deployments a partner has behind it.
Accenture, Bain, BCG, and PwC are on the list. So is Smartling, a mid-sized localization company that reached Select status on September 2, just two weeks before Solvd.
That spread matters. It tells enterprise buyers the tier system isn’t just a badge for consulting giants; it’s meant to work as a filter for smaller, more specialized shops too.
Anthropic rolled out something similar earlier this year, backed by $100 million, which suggests both labs have concluded the same thing at roughly the same time: the model race and the deployment race are now two separate businesses.
Solvd’s Chief Technology Officer, Skylar Roebuck, frames the company’s angle around ownership rather than access. “Companies should own their architecture rather than inherit it from whichever tool they bought first,” Roebuck said, pointing to OpenAI’s Codex harness, which ships open source and configurable enough that clients can build their own workflow on top of it instead of getting locked into someone else’s defaults.
That distinction is where the real work happens. Solvd’s Codex practice starts by getting a client’s codebase ready for agents in the first place, with test coverage, documentation, and architectural gates that actually hold, before any agent touches production code.
From there, it moves into what the company calls production reliability: getting individual engineers, QA staff, and product managers comfortable working alongside agents day to day, not just watching a demo.
The timing lines up with a real gap in the market. Grant Thornton’s 2026 AI Impact Survey found that 55% of CIOs and CTOs say fewer than half their core applications are actually AI-ready, even with a frontier model sitting one API call away.
OpenAI’s own safety documentation for its newest model, GPT-6 Astra, is candid about a version of the same problem from the other direction: internal testing found the model still sometimes overreaches on engineering tasks, using elevated access or broader permissions than a task needs, though at a meaningfully lower rate than its predecessor. Speed and capability keep climbing.
Whether the surrounding engineering discipline climbs with it is exactly the question Solvd is betting its new partner status on.
Disclosure: This article mentions a client of an Espacio portfolio company.
