Datadog veterans Sajid Mehmood and Conor Branagan have closed a $7 million seed round for their new AI‑coding venture, Niteshift. Greylock’s Jerry Chen led the round, while high‑profile angels such as Reid Hoffman, Datadog co‑founder Olivier Pomel, Alexis Lê‑Quôc, Ankur Goyal and Misha Laskin also contributed.
The funding backs Niteshift’s core premise: developers and large engineering teams should not have to trust a single AI model vendor with their most sensitive code. Mehmood, who now serves as CEO, likens the situation to the early days of Datadog, when the monitoring firm won e‑commerce customers who refused to build on Amazon Web Services because Amazon was simultaneously threatening their business. He calls the current wave of AI model competition a "SaaSpocalypse," noting that Anthropic, OpenAI and others are racing into vertical markets such as legal, healthcare and finance.
Niteshift’s platform does not replace popular coding agents like Claude Code or Codex. Instead, it acts as a routing layer that can direct a request to whichever model best fits the project—whether that’s a proprietary offering from OpenAI, an Anthropic model, an open‑source alternative, or a future service. "Being able to switch between GPT and cloud models is important," Mehmood said, "Everybody’s worried about getting stepped on by these giants."
Greylock’s Chen echoed that sentiment, explaining that as frontier labs move up the stack, customers will look for ways to unbundle their agents from the underlying infrastructure. Niteshift plans to charge on a per‑minute usage basis, similar to traditional cloud providers, rather than selling tokens or labor‑replacement AI licenses. "Everyone else is selling labor replacement intelligence; we’re selling software to agents," Mehmood added.
The market for AI‑assisted coding tools is already crowded. Competitors include Cursor, Cognition (which recently raised $1 billion at a $26 billion valuation), Amazon Bedrock, and OpenRouter, which just secured $113 million at a $1.3 billion valuation. While model‑independence is not a brand‑new concept, Niteshift hopes its founders’ experience scaling Datadog will give it an edge. The duo has lived the growing pains of large‑scale engineering organizations and believes they can build the infrastructure those teams need to test, verify and run AI‑generated code safely in production.
Investors appear convinced that Niteshift’s approach fills a gap in the emerging AI stack. By offering a cloud‑native, model‑agnostic layer, the startup aims to let enterprises invest deeply in developer tooling without fearing that a model provider will later launch a competing product. As the AI coding space matures, the company’s success will hinge on its ability to attract and retain customers who value that separation.
Dieser Artikel wurde mit Unterstützung von KI verfasst.
News Factory APP - agentische News für besseres SEO & AEO.