Simulation samples.
Formal proves.
In the AI era, the correctness questions that end programs — deadlock, arithmetic, security, forward progress — sit exactly where sampling runs out. Axiomise turns formal from a specialist side-practice into a first-class capability, and AiT brings it to your team.
Why are we still finding bugs so late?
For an industry that invests so heavily in verification, teams still find the bugs that matter later than they should — and late discovery is expensive in every way at once: engineering time, compute, schedule, and confidence. Simulation-heavy flows are straining under modern complexity, and their return diminishes as designs grow more concurrent and heterogeneous.
The question is no longer whether formal is real. It is whether your verification strategy reflects the risk profile of what you're building.
Buying formal tools isn't the same as adopting formal.
Many teams have bought formal, run a pilot, proven it finds bugs — and then stalled. The engine was never the bottleneck. Turning formal into a repeatable part of how the organization works is. Five barriers show up again and again:
Skills
Formal isn't simulation with new syntax. Properties, abstractions, assumptions, and convergence are a different way of thinking.
Methodology
Real adoption needs workflow design — how to pick targets, build and maintain properties, and feed results back into the plan.
Misconceptions
Formal is still miscast as equivalence-checking only, or as usable on small blocks alone. Both hold adoption back.
Convergence
Belief in formal isn't enough if proofs don't converge. Methodology and experience make it predictable and scalable.
Inertia
Simulation-heavy habits make late bugs feel like a fact of life rather than a signal the flow needs to change.
This is precisely where Axiomise works. It doesn't replace your formal engine — it turns capability into adoption through training, consulting, reusable property packages, and focused applications. Vendor-neutral, and designed to make formal part of the everyday flow.
The hardest problems are the ones simulation can't close.
The teams getting the most from formal apply it deliberately, where exhaustive reasoning changes outcomes the most. As of the 2024 Wilson study, 58% of projects now carry a RISC-V core and 59% include an AI accelerator — both doubled in a single cycle. Three domains where Axiomise packages formal into practical apps:
NoC verification is now first-order SoC risk
Deadlock, livelock, starvation, and forward-progress failures hide behind corner conditions that are hard to stimulate and expensive to cover by regression. Formal can prove deadlock freedom and progress under the modeled assumptions — not just sample for them.
Read the NoC briefMixed-precision datapaths hide subtle correctness bugs
BF16 and transprecision floating-point deliver the throughput AI silicon needs — and amplify the risk of quiet numerical errors. Axiomise's floatrix recently exposed a hidden underflow in a BF16 divider, the kind of bug simulation is poorly suited to find.
Read the EDN write-upRISC-V, Arm, and x86 need proof, not just tests
Axiomise's vendor-neutral RISC-V app delivers end-to-end formal sign-off of processor cores — the class of exhaustive reasoning that has taken RISC-V designs to first-time silicon.
Explore formalISAThe company that makes formal normal.
Founded in 2017 by Dr. Ashish Darbari — the holder of 69 patents in formal verification — Axiomise has pioneered practical formal adoption across processors, GPUs, networking, AI/ML hardware, and NoC fabrics. Its abstraction-driven methodology and six-dimensional coverage work with any commercial formal tool.
Where Axiomise sits in EDA 3.0.
EDA 2.0 automated the tools, but kept them siloed and human-driven. EDA 3.0 is AI-native lifecycle orchestration — from intent to yield. AiT orchestrates that lifecycle across six layers. Axiomise owns Layer 4, Verification: the point where correctness is proven, not sampled. Tap a layer to see its job.
Verification — Axiomise
Where correctness is proven, not sampled. Axiomise brings exhaustive formal reasoning to the blocks where simulation runs out: interconnect, arithmetic, processors, safety, and security.
An engagement, not a tool license.
You keep your formal engine. Axiomise makes it deliver — starting focused, then scaling as confidence grows.
Evaluation
A focused proof on one high-risk block — demonstrate that formal finds what simulation missed, on your own design.
→Program
Formal designed into the verification plan across your target domains, with the methodology and training to sustain it.
→Enterprise
Formal as a first-class, scaled capability — taught, integrated, and owned by your engineers across programs.
AiT runs the engagement. As Axiomise's go-to-market partner, we scope the first evaluation, connect the right engineers, and stay in the loop from proof to program.
Ready to make formal normal?
Start with one block where simulation keeps letting bugs through. We'll show you what exhaustive proof changes.