- Specialization
- Semiconductors
- Business
Software Applicationsand 1 more business valuesLess
- Agent Tooling
- Market
- Manufacturing
- Ecosystem
- Applications
- Customers
Enterprisesand 1 more customers valuesLess
- Small Businesses
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications, Agent Tooling
- Specialization
- Semiconductors
- Market
- Manufacturing
- Customers
- Enterprises, Small Businesses
- Delivery models
- On Premise Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
hardware intelligence builds Wave, a terminal-native waveform debugger with an embedded verification agent for chip designers and verification teams working on ASICs and FPGAs. It differentiates through local, on-premise operation, support for users’ own model keys or internal endpoints, and agent-guided debugging and fix verification without legacy GUI license queues.
Market
Hardware Intelligence competes in semiconductor EDA software, especially AI-assisted chip verification and waveform debugging, while positioning itself as an end-to-end, agent-native toolchain for chip design. Wave is positioned against legacy waveform tools such as Verdi and adjacent AI-native platforms such as ChipAgents and Oboe. It differentiates through a terminal-native, fully local/on-premises workflow with customer-selected model endpoints, root-cause tracing, fix proposals, re-simulation, and waveform diffs.
Ideal customers are semiconductor and AI companies—from lean chip startups to established teams—building custom ASICs or FPGAs and running substantial simulation and verification workflows. The primary users and buyers are RTL designers, hardware-verification engineers, and chip-design leads; the company is explicitly onboarding pilots for teams that design or verify chips.
At a Glance
Problem
Hardware intelligence targets the bottleneck in chip verification: when a simulated test fails, engineers must search waveform logs that can contain millions of signal ticks and span several gigabytes to find the moment a value went wrong. This is a high-consequence problem because hardware cannot be patched after shipment; a bug that reaches manufacturing can become a nine-figure mistake, while waveform debugging is described as the single largest activity in verification.
The killer use case is debugging a failing simulation. An engineer needs to identify why a signal broke, trace the bad value back to its source, choose a corrective design change, and verify that the fix works without introducing a new problem. Existing workflows make this slower and more expensive through legacy GUI tools, license-server queues, and high-cost seats.
Product / Service
The company’s first product, Wave, is a terminal-native waveform debugger with a verification agent built in. It reads VCD and FST waveform files, runs locally on the customer’s machines, supports the customer’s own model key or internal endpoint, and works over SSH and inside tmux. This makes it a fully on-premise tool in which chip data stays within the customer’s network, while meeting hardware engineers in their existing shell- and Vim-oriented workflow.
Wave lets engineers ask questions about signals in plain English, traces the root cause with answers pinned to exact signals and simulation ticks, proposes fixes with performance, power, or area tradeoffs, and re-runs the customer’s own simulator and flow to show a waveform diff. The company is currently onboarding pilot teams through demos and a waitlist, positioning the product as a way to shorten verification cycles while avoiding legacy license friction and keeping sensitive designs private.
Market
Hardware intelligence competes in semiconductor electronic-design-automation and hardware verification software, specifically the chip-debugging and waveform-analysis segment. The company describes the broader chip-tooling industry as a $20 billion market. Its stated incumbents and competitive references are Synopsys, Cadence, and Siemens; Synopsys’s Verdi is identified as the industry-standard waveform viewer. Wave differentiates through terminal-native interaction, an embedded verification agent, local execution, and an agentic workflow rather than a traditional GUI-based debugger.
The company was founded in 2026, is an active Summer 2026 Y Combinator company, and publicly launched Wave in July 2026. Public materials do not disclose revenue, customer counts, or paid deployment figures; instead, they describe personal onboarding of pilot teams and invite users to join a waitlist or book a demo. The best-supported characterization is therefore an early-launch, pilot-stage company with no publicly demonstrated commercial scale, rather than a business with established revenue traction.
Founders & Leadership
Funding History
Y Combinator
Recent News
Y Combinator featured hardware intelligence’s launch and its first product, Wave, a terminal-native waveform debugger with a built-in verification agent for chip design. Founders Athreya Anand and Rishov Sarkar invited chip designers and verification teams to engage with the product.
Y Combinator publicly featured hardware intelligence’s company launch, introducing its first product, Wave, a terminal-native waveform debugger with a built-in verification agent for chip design. Founders Athreya Anand and Rishov Sarkar invited ASIC and FPGA teams to try the product and join pilot programs.
Active Roles
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Get notified when they postBusiness Model
The company appears to use a B2B software model, selling or piloting Wave with chip-design and verification teams through demos and direct team onboarding. Public materials do not disclose subscription, license, pilot, or other pricing terms.