Niteshift raises $7M seed to give coding agents a model-agnostic cloud
What's the deal? Niteshift, an AI coding startup founded by former early Datadog engineers Sajid Mehmood and Conor Branagan, has raised a $7 million seed round led by Greylock's Jerry Chen. Angels include Reid HoffmanDealroom has a profile for this one. Try Dealroom →, Datadog co-founders Olivier PomelDealroom has a profile for this one. Try Dealroom → and Alexis Lê-QuôcDealroom has a profile for this one. Try Dealroom →, Braintrust's Ankur GoyalDealroom has a profile for this one. Try Dealroom →, and Reflection AI's Misha Laskin.
The company's pitch: enterprises shouldn't trust their most sensitive code to model makers like OpenAI and AnthropicDealroom has a profile for this one. Try Dealroom →, which are increasingly launching competing apps that threaten their customers' businesses. Niteshift's platform routes between coding models — Claude, GPT, open-source options — based on project needs, letting teams avoid dependence on any single vendor.
Niteshift doesn't sell tokens. It charges like a cloud provider, with per-minute usage rates. "We're selling software to agents, as opposed to humans," Mehmood said.
Why now? Mehmood draws a direct parallel to Datadog's early growth, when e-commerce companies refused to build on Amazon Web ServicesDealroom has a profile for this one. Try Dealroom → because Amazon was simultaneously destroying their retail businesses. He sees the same dynamic emerging in AI.
Anthropic, OpenAI, and others are moving fast into vertical software markets — what some are calling the "SaaSocalypse." As these giants expand into legal, healthcare, and finance, companies will want coding infrastructure that separates them from vendors with competing agendas.
"Being able to switch between GPT and Claude models is important," Mehmood said. "Everybody's worried about getting stepped on by these giants."
What could go wrong? Niteshift is entering a brutally crowded market. Model independence isn't a novel concept, and competitors have a massive head start. Cursor, Cognition (which just raised $1 billion at a $26 billion valuation), Amazon Bedrock, and OpenRouter ($113 million raise at $1.3 billion valuation) all occupy adjacent territory.
A $7 million seed round is modest firepower for this fight.
Mehmood's counter: depth of experience. He and Branagan scaled Datadog from its early days to a multi-billion-dollar valuation, living through the exact infrastructure growing pains that large engineering organisations now face with AI-generated code.
The signal: Greylock's Chen framed the opportunity clearly: "As the frontier labs move up the stack, there's an opportunity to offer customers an alternate path: unbundling their agents from the infrastructure they run on."
This bet reflects a broader market shift. The first wave of AI coding tools optimised for raw capability. The next wave will likely compete on trust, portability, and infrastructure independence — the same dynamics that shaped cloud computing a decade ago.
Read more: TechCrunch
