SI that designs SI chips.
Zelnica builds custom SI chips end to end, from product definition to tested chips. Our SI agents connect every design step and run 24/7, cutting handoff delays, human error and stacked margin, and guide each project along the shortest path from spec to silicon. Every chip is shaped around your training and inference workloads.
Spec to silicon, on the shortest path.
Six steps, one company. An agent runs each step and an engineer signs off. The agents connect the steps around the clock and steer every project away from the detours that cost months.
Define
Turn your models and traffic into a product spec with power, cost and latency targets.
spec-agentArchitect
Search compute, memory and interconnect options against your real workload traces.
arch-agentDesign
Generate and refine RTL for tensor engines, memory systems and the on-chip network.
rtl-agentVerify
Write tests, chase coverage holes and compare against reference models.
verif-agentImplement
Floorplan, place, route and close timing and power on advanced nodes.
pd-agentSilicon
Signoff, tapeout, packaging with HBM, and bring-up of the first chips.
signoff-agent
Dim dashed arcs are the detours a conventional flow takes. The bright line is the shortest path the agents guide each project toward.
What we take out of chip design.
Chip projects lose time and performance in the gaps between steps. These are the four losses our agents remove on every run, and every fix is saved so the next project starts better.
Handoff delays
no waiting at handoffs
Spec changes, constraints and results move between steps automatically. Agents check each handoff and pass it on in minutes, instead of days of email, meetings and buffer time.
Human error
checked on every run
Agents review every setup and result: constraint gaps, missing timing exceptions, wrong corners, mismatched files, odd result diffs. Mistakes are caught at the step that made them, with a fix proposed.
Stacked margin
one margin budget, not six
Each step usually adds its own guardband on top of the last. We manage margin as one budget across the flow and tighten it path by path using signoff and silicon correlation, so performance is not lost to stacked pessimism.
Mixed up data
no contamination between steps
Every PDK, library, IP, constraint, netlist and ECO carries its version and origin. Runs with inputs that do not match the release manifest are blocked, and data never leaks between projects or customers.
Illustrative only. Shows where time and margin go in a chip project, not measured results.
Three ways to work with us.
Bring us an idea, a single step, or your own team. Pick the model that fits where you are.
Turnkey
From idea to chips in hand.
You bring the workload and the targets. We take it through spec, architecture, design, verification, physical design, tapeout, packaging, test and supply.
- Best for
- AI model and product companies without a chip team
- You get
- Qualified chips, delivered
Design Service
Hand us the steps you need.
Your team keeps what it does best. Our agents and engineers take the steps you choose, such as physical design and signoff, and deliver on a fixed scope.
- Best for
- Chip teams that need speed or capacity on a project
- You get
- Signoff clean results for the steps you choose
Flow License
Our agents, inside your walls.
We install the SI agent flow and knowledge base in your environment. Your engineers run it on your own tools, and your design data never leaves your network.
- Best for
- Large chip companies with strict data rules
- You get
- The connected 24/7 flow on an annual subscription
What you can build with us.
Every Zelnica chip starts from a workload. These are the kinds of SI chips our flow is built to deliver.
Frontier training chip
For teams training large models at cluster scale. Built around dense tensor math, high HBM bandwidth and fast chip to chip links.
Fits: Turnkey
Low latency serving chip
For LLM serving where every millisecond per token counts. Large on-chip SRAM keeps weights and KV cache close to compute.
Fits: Turnkey or Design Service
Agentic AI chip
For agents that run long contexts and many model calls in a row. Balances memory capacity for long KV cache with fast switching between requests.
Fits: Turnkey
Edge inference chip
For on-device AI in cameras, vehicles and robots. Small area, low power and 4 bit or 8 bit math, tuned to one model family.
Fits: Design Service or Flow License
Example chip types, not delivered products.
Agents at work.
Pick a workload and watch the agents take a chip from spec to GDS. Switch modes to see how the architecture changes for training, inference, or both.
Pipeline
Chip config
Highlighted lines come from guard-agent, which watches handoffs, margin, errors and data lineage across every stage. learn lines feed the knowledge base.
Simulated demo. Values are illustrative.
Every project, live.
The Zelnica Console shows where each chip stands, what the agents fixed and how much margin they returned, any hour of the day.
| Project | Workload | Stage | Margin returned | Status |
|---|---|---|---|---|
| proj-atlas | Training | Implement | 6.8% | on track |
| proj-swift | Inference | Verify | 4.1% | on track |
| proj-dual | Both | Architect | pending | spec review |
| proj-edge | Inference | Silicon | 7.5% | tapeout ready |
Illustrative console. Project names and figures are examples, not customer data.
Built for how your model runs.
Training and inference stress a chip in different ways. We customize for the one you need, or design a single chip that handles both.
Your models train and serve in a loop. We profile both sides of that loop and design the chip for the mix you actually run.
Training
throughput at scale
| Bottleneck | Large matrix math and moving gradients between chips |
|---|---|
| Precision | BF16 and FP8 tensor cores |
| Memory | Multiple HBM stacks for bandwidth and capacity |
| Interconnect | High speed chip to chip links for scale out |
| Goal | Shorter time to train per dollar and per watt |
Inference
latency and cost per token
| Bottleneck | Prefill is compute bound, decode is memory bound |
|---|---|
| Precision | INT8, FP8 and 4 bit formats |
| Memory | Large on-chip SRAM and KV cache aware data paths |
| Interconnect | Sized to the model, not the cluster |
| Goal | Low latency per token at the lowest power |
Your data stays where you want it.
Chip designs are among the most sensitive data a company owns. Choose where the agents run.
Zelnica Cloud
fastest start
We run the full flow on our secured infrastructure, with each customer isolated in its own environment and data never shared across projects.
On premises
inside your walls
The same agents, flow and console run on your own servers and EDA licenses. Your design data never leaves your network.