As large model capabilities continue to grow, AI is extending the focus of competition from model performance to actual deployment within the enterprise. TechCrunch reports that Ode, a joint venture supported by investors such as the Blackstone Group, is trying to make AI an independent business.
The Ode valuation is $1.5 billion.
This company was launched in May this year under the name Ode with Anthropic. Participants included Blackstone, Hellman & Friedman, Goldman, etc. According to the report, the current valuation of Ode is approximately $1.5 billion and is located to provide AI engineering deployment services to the enterprise.
Ode was formed on the basis of AI Engineering Services Initial AI. Blackstone had previously approached large consulting firms and small AI service teams when it was promoted in its enterprise, and had subsequently seen Fracingal AI and acquired it after the joint venture had been announced.
At present, Ode has about 100 engineers and works with the Anthropic application AI team to find an AI-available scenario in different industries and then customize the system to the existing processes of the enterprise.
The focus is not on the model, but on the process.
Ode management believes that the difficulty for an enterprise to adopt AI is not in selecting which model, but in connecting the model to core business processes and developing sustainable products or operational capabilities.
Ideally, as envisaged, the clients usually need CEOs to drive the projects directly, as such deployments often involve the company ' s priority products over the next two years or the most critical business process re-engineering. Ode has thus positioned itself as a high-intensity, customized implementation team rather than simply selling model interfaces.
Ode will give priority to the Anthropic Claude series of products and will use the associated functionality when conditions permit. However, the company does not exclude the products of its competitors and can access other AI tools if the client situation so requires.
Frontline Models began to complete service capacity.
This path is not unique to Anthropic. OpenAI has also launched the Enterprise Company. According to the report, this reflects the emerging consensus among front-line model companies that stronger models alone may not be sufficient to capture large business clients.
The real challenges facing Ode are also clear. On the one hand, there is a growing demand for pre-positioned engineering teams; on the other hand, engineering staff who understand AI and are able to independently advance complex enterprise projects remain scarce.
In addition to OpenAI, such large advisory bodies as Deloitte and Eisenger have formed similar teams. Ode hopes to maintain the quality service model as it continues to expand and gain access to international markets, and to continuously assess the real impact of AI deployment on business operations.
From this pattern, the next stage of competition in AI's industry is moving from “who's stronger model” to “who's better able to really load it into business processes”.