How do you ship AI?
Developer, partner or enterprise; cloud, edge or private. UnieAI runs the agent-inference engine so you can focus on the work that matters.
Cloud, edge or private. Your call.
Two halves of one engine.
Runtime · CPU
A purpose-built harness makes open models materially smarter, and a decoupled async runtime puts session, sandbox, orchestration and tools into separate services. Hundreds of agents run in one process instead of dozens of VMs.
concurrent agent turns per process*
Inference · GPU
Agent workflows generate enormous volumes of inference. UnieInfra delivers high throughput density and low TTFT across AMD, Nvidia, Qualcomm and Intel. Agent Core and UnieInfra are converging into one engine.
throughput density vs. stock open-source stacks
78.3% to 97.2%
Agent Core 2 lifts MiniMax-M2 on AIME 2025 from 78.3% to 97.2% — no change to the weights, only the runtime around them.
Baseline scores from the public leaderboard; the UnieAI bar is our internal result.
GPT-5.2 (xhigh)
MiniMax-M2 × UnieAI Agent Core 2
GPT-5.2 (medium)
gpt-oss-120b (high)
gpt-oss-20B (high)
Nova 2.0 Pro
Claude 4.5 Haiku
MiniMax-M2 (baseline)
Moat. Affordance. Diffusion.
Token efficiency on the GPU and a stable, decoupled harness on the CPU compound into a structural cost-and-quality advantage. We own the infrastructure moat of token, harness and hardware, so our partners can build their own moat for their customers on top.
The harness gives open models new capabilities: tools, MCP, RAG, sandbox and planning, plus a runtime that makes hundreds of concurrent agents affordable. Better, cheaper turns turn open weights into production intelligence.
Open models deploy anywhere — cloud, edge or private — and diffuse through our partners, FDE teams and the applications built on Agent Core. Intelligence spreads to where the work already happens.
Enterprises don't lack models, they lack infrastructure.
The hard part is getting from POC to production.
Open models, deployed your way.
Not sure where to start?