Aurora Mobile Limited has integrated the newly released DeepSeek‑V4 model into its GPTBots.ai platform, adding a 1‑million‑token ultra‑long context window that allows a single AI agent to process entire codebases, lengthy legal documents, and complex research archives without losing coherence.
The integration equips GPTBots.ai with DeepSeek‑V4’s frontier‑level performance and introduces multi‑agent orchestration, enabling specialized agents to collaborate, delegate, and execute complex business processes without any coding. The platform already offers no‑code/low‑code agent development, over 50 native connectors for enterprise systems, and both cloud and on‑premise deployment with enterprise‑grade security.
By adopting an open‑source model that rivals the performance of leading closed‑source systems, Aurora Mobile strengthens its competitive edge against cloud‑giant AI services and reinforces its strategy to grow the EngageLab and GPTBots.ai engines. The 1‑million‑token context window positions the company to capture demand from enterprises that require deep, context‑aware AI solutions for software development, legal compliance, and research analytics.
"DeepSeek‑V4 is a landmark moment for open‑source AI, and we're proud to bring it to our enterprise users immediately," said Chris Lo, founder and CEO of GPTBots.ai. "The question for enterprises is no longer whether AI is capable enough—it clearly is. The question is whether your platform can turn that capability into real business outcomes, at speed and at scale."
Aurora Mobile has recently expanded its AI portfolio with the launch of EngageLab LiveDesk and Modellix, and it has opened a Japanese subsidiary to support its global growth. The company’s Q4 and FY 2025 results marked its first full‑year GAAP net profit, underscoring the commercial traction of its AI offerings. In a market where AI agent platforms are rapidly evolving, the DeepSeek‑V4 integration is a strategic move that could accelerate Aurora Mobile’s adoption among large enterprises seeking advanced, cost‑effective AI automation.
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