August 3, 2026 · Model Zoo
Coming to UnieAI — running in our own datacenter, no third-party APIs.
Inside the enterprise
Back inside the company: data is scattered, AI can't read it
Structured data sits in databases, unstructured files in drives. An LLM can't consume either.
Data Hub + Parser
Both kinds of data, one semantic layer
Batch + CDC sync, Parser semantics and vector indexing — entities, relations and labels drafted by AI, confirmed by people. Every answer cites its source.
ANALYTICS
BI / Reports / Q&A
KPI
12.8M
Tokens / day
↑ 12.6%
WORKFLOWS
Agents / Automation / Decisions
Triggers
Agent Orchestration
Actions
INTEGRATIONS
APIs / Apps / MCP
CRM
ERP
Finance App
ONTOLOGY / SEMANTIC LAYER
Data Hub × Ontology × Named Metrics
UNIEAI DATA HUB
UNIEAI MODEL ZOO
Faster, cheaper inference
UnieInfra is tuned for agent workloads: 4× throughput at low load, 2× lower latency under high concurrency, and autotuning that squeezes maximum throughput out of your existing hardware.
Explore UnieInfraOpen models get smarter
A purpose-built harness makes models stronger and more reliable. Agent Core 2 lifts MiniMax-M2 from 78.3% to 97.2% on AIME, and runs hundreds of agents in a single process.
Explore Agent CoreData becomes trusted answers
Data Hub and UnieAI Parser bring structured and unstructured data onto the platform; AI and humans co-build the ontology. Every answer ships with citations: SQL table names and full file paths.
Explore Data HubSOTA models, one-click deploy, one API
Model Zoo keeps the latest SOTA open and proprietary models on UnieInfra, OpenAI-compatible and billed per token, with API governance via Studio: keys, logs, billing and guardrails.
Browse the Model ZooDon't just rent out compute. Turn it into global token revenue
Mount your GPU machines and model APIs on UnieAI. Sell tokens and lease GPUs to the world through our channels.
Partner with usTotal throughput
higher is betterQwen3.5-122B-A10B (FP16) · Nvidia H200 × 2 · test by InferenceMAX.
concurrency
One inference engine across four accelerator ecosystems
AIME 2025 — accuracy
higher is betterBaseline 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)
UnieAI BI Agent
Data Hub connected
How much did Q2 2026 revenue grow quarter over quarter?
querying erp.finance…
+18.4%
(NT$231M → NT$274M)
Model API Gateway
SOTA models · always current
POST https://api.unieai.com/v1/chat/completions
{ "model": "MiniMax-M2" }
The endpoint never changes — switching models is one string. OpenAI-compatible, token-metered.
GPU in·tokens out
Faster, cheaper inference
UnieInfra is tuned for agent workloads: 4× throughput at low load, 2× lower latency under high concurrency, and autotuning that squeezes maximum throughput out of your existing hardware.
Total throughput
higher is betterQwen3.5-122B-A10B (FP16) · Nvidia H200 × 2 · test by InferenceMAX.
concurrency
One inference engine across four accelerator ecosystems
Open models get smarter
A purpose-built harness makes models stronger and more reliable. Agent Core 2 lifts MiniMax-M2 from 78.3% to 97.2% on AIME, and runs hundreds of agents in a single process.
AIME 2025 — accuracy
higher is betterBaseline 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)
Data becomes trusted answers
Data Hub and UnieAI Parser bring structured and unstructured data onto the platform; AI and humans co-build the ontology. Every answer ships with citations: SQL table names and full file paths.
UnieAI BI Agent
Data Hub connected
How much did Q2 2026 revenue grow quarter over quarter?
querying erp.finance…
+18.4%
(NT$231M → NT$274M)
SOTA models, one-click deploy, one API
Model Zoo keeps the latest SOTA open and proprietary models on UnieInfra, OpenAI-compatible and billed per token, with API governance via Studio: keys, logs, billing and guardrails.
Model API Gateway
SOTA models · always current
POST https://api.unieai.com/v1/chat/completions
{ "model": "MiniMax-M2" }
The endpoint never changes — switching models is one string. OpenAI-compatible, token-metered.
Don't just rent out compute. Turn it into global token revenue
Mount your GPU machines and model APIs on UnieAI. Sell tokens and lease GPUs to the world through our channels.
GPU in·tokens out
Introducing UnieAI Agent Core
One harness, orchestrated.
Agent Core decides when the model reasons, which tools it calls via MCP, what it remembers, and runs it safely in a sandbox.
AIME 2025 — accuracy
higher is betterBaseline 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)
Stronger models, stable agents.
A purpose-built harness makes models stronger and more reliable. Agent Core 2 lifts MiniMax-M2 on AIME from 78.3% to 97.2%.
UnieAI Chat
Your AI coworker
Agent mode runs decks, financial analysis, reports and scheduled tasks — for developers and everyday users alike.
Meet UnieAI ChatUnieAI Code
The coding agent for open models
A coding agent for open and private models, bringing the harness into your development workflow.
Meet UnieAI CodeThe latest SOTA open and proprietary models, continuously updated. One API.
Browse the Model ZooRuns across every major accelerator
Mount your compute. Sell to the world.
We work with distributors, FDE teams and application companies, and we own the hard part: Token, harness and hardware. Our partners stay focused on building a moat for their customers, while inference, the agent runtime and deployment are handled by us.
Apps built on Agent Core, in your hands today.
Our agent harness already ships as products. UnieAI Code is a coding agent for open and private models. UnieAI Chat brings an agent mode for slides, financial analysis, report generation and scheduled tasks, for developers and everyday users alike.
Latest news
All posts →
97.2%
Agent Core 2 takes open models to frontier accuracy
MiniMax-M2 jumps from 78.3% to 97.2% on AIME 2025 — the result of harness research built for open models.
See how we did it →
TTRL
Test-time learning: AI services that keep improving in production
With Chihli Services and NCHC, Test-Time RL on H100s keeps a semiconductor IT-ops AI stable, maintainable and self-improving.
Read the case →
−50%
Generative AI halves inference time in semiconductor manufacturing
With Kcwin on UnieInfra: inference time cut by more than 50%, GPU utilization up to 96%.
Read the case →
Open-model accuracy on AIME 2025 with Agent Core 2
Throughput density vs. stock open-source stacks
Concurrent agent turns per process, not dozens of VMs*
Accelerator ecosystems: AMD, Nvidia, Qualcomm, Intel
Open models. Production agents. One cloud.
Ready to put open-model agents into production?