Los Angeles startup Seela announced on January 16–17, 2026 an all-in-one AI creative platform that combines text-to-image, image-to-image, and a multi-model chatbot comparison workspace. The service lets users send a single prompt and view side‑by‑side outputs from models like ChatGPT, Claude, Grok, and DeepSeek, alongside integrated image generation tools.
This article aggregates reporting from 3 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Seela’s launch is interesting less as yet another image tool and more as an early example of ‘meta‑infrastructure’ for frontier models. By putting ChatGPT, Claude, Grok, DeepSeek and others into one side‑by‑side interface, Seela turns model choice into a first-class UX decision for creators and analysts. That pushes the ecosystem toward treating models as interchangeable components, judged on empirical behavior rather than brand.
For the race to AGI, this kind of comparison layer could subtly rebalance power. If third‑party platforms make it trivial to A/B models on quality, latency, and failure modes, it becomes harder for any one lab to dominate purely on marketing or distribution. Users can see, for their own prompts, when a smaller or more open model outperforms a frontier one. At the same time, whoever owns the comparison UX gains valuable cross‑model telemetry that could inform their own training and product strategy.
Strategically, Seela also reflects how quickly generative AI is becoming part of standard creative workflows, not a separate playground. Visual‑first, workflow‑oriented tools that hide API plumbing and licensing complexity will shape which models see real usage. Labs that ignore this application layer risk winning benchmarks but losing mindshare.



