Product in development
AiSIC
TiniLLM Labs is building agent-inference silicon for tool-calling loops, branch-heavy runs, and context that persists across many steps.
Connect with the lab- AiSIC
- inference ASIC layer
- TINIC
- compiler path
- TINISA
- tensor ISA layer
Agent workload
Built as layers, not a single accelerator claim.
Agents move through model calls, tool I/O, branching, backtracking, and orchestration. AiSIC treats that mixed path as the product surface.
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00
Workload layer
Agent runs
Repeated inference steps, tool handoffs, branch decisions, and context reuse across longer execution chains.
- Mode
- Loops + tools
- Pressure
- Memory + I/O + control
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01
Silicon layer
AiSIC
Inference ASIC architecture for low-latency agent execution, memory movement, and orchestration-aware scheduling.
- Status
- Product in development
- Role
- Hardware path
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02
Compiler layer
TINIC
Compiler work for lowering model and agent execution patterns into hardware-aware pipelines.
- Status
- Product in development
- Role
- Execution mapping
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03
Instruction layer
TINISA
Tensor instruction-set work for quantized inference, memory movement, and low-latency control paths.
- Status
- Product in development
- Role
- ISA direction
Development focus
Hardware and software shaped around agent execution.
- Agent workflow inference
- Model-call burst handling
- Tool-use and I/O handoff
- Orchestration-aware scheduling
- Quantized low-latency compute
