Datadog Veterans' Niteshift Takes On Big Tech Lock-In With an AI Coding Platform

Niteshift, a startup founded by veterans of the cloud platform Datadog, has raised $7 million in a seed round from a collection of well-known angels and VC funds. The company is betting that large corporations are tired of depending on Big AI: they want the freedom to choose between model providers and are willing to pay for it.

The lock-in problem in the AI industry

When developers integrate the OpenAI API or Claude directly into their code, they effectively tie the whole project to that provider. This means:

• No quick way to switch to a competitor without rewriting code
• Exposure to the provider's pricing policy, with no alternatives when prices rise
• Technical debt whenever the API contract changes
• No option of local deployment or of using your own models
• Risk that the provider stops developing a function you need

Migrating from one platform to another takes months of negotiation, adaptation and retesting. For large corporations that is expensive and risky, especially when the integration touches critical systems.

Provider abstraction as the solution

Niteshift builds an abstraction layer between the developer's code and the specific model provider. The developer writes the code once, and the platform routes requests to the right provider: OpenAI, Anthropic, Google, a local model or a self-hosted solution.

This lets companies easily test new models in production, switch to cheaper alternatives for individual tasks, or duplicate requests across several models to check quality. In effect, the platform becomes a single control point for the entire AI stack.

The analogy: if OpenAI is a cloud provider, Niteshift is the abstraction that makes it easy to swap clouds. This is the very architecture that Datadog helps companies monitor today.

Investors see a trend

The founders come from Datadog, where they spent years engineering scalable systems, and they understand how the right architecture protects against dependencies. The round included Bain Capital, GitHub and Stripe veterans, former executives of Notion and Figma, and angels from Sequoia and Benchmark.

"Companies are tired of being held hostage by

Big AI," is how investors backing independence tooling see the trend.

For the venture industry, this is a signal: rebuilding AI infrastructure for independence is profitable.

What this means

AI infrastructure is splitting into two camps: model makers (OpenAI, Anthropic, Google, Meta) and makers of independence (Niteshift, LiteLLM). For corporations this is good news: competition turns into pure competition on price and quality, rather than an attempt to lock a company into an ecosystem.

Datadog veterans understand that the same trend that played out with clouds will play out with LLMs: startups that offer freedom win.

*Meta has been designated an extremist organization and is banned in Russia.