Non-Convex Spectral Manifold & Neural AST Verification Engine
Guarantees continuous mathematical safety envelopes for mission-critical software, autonomous flight controls, and high-frequency algorithms. Computes Chebyshev spectral convolutions in O(K|E|) time and projects recursive syntax trees onto Riemannian Poincaré Hyperbolic manifolds.
Enterprise Grade Pricing For Every Scale
Deploy formal AST verification gates across your CI/CD pipelines. All plans include automated cryptographic proof certificates and instant Stripe checkout.
Ideal for high-growth Web3, FinTech, and autonomous startups.
For aerospace prime contractors, global banks, and critical systems.
Own 100% of the proprietary IP, codebase, and business assets.
Integrate in 3 Lines of Code
Install the official zero-dependency Python client library. Automatically verifies mathematical safety invariants in your local test suites or continuous integration pipelines.
from spectralis_sdk import SpectralisClient
client = SpectralisClient(
api_key="spec_live_7k2x9m84p10a..."
)
# Submit distributed execution AST for Lyapunov invariant audit
result = client.verify_invariant(
module_name="FlightControl_YawRate_AST",
adjacency_matrix=[[0, 1, 0], [1, 0, 1], [0, 1, 0]],
node_features=[[0.92, 0.15], [0.81, -0.2], [0.74, 0.05]],
tolerance=0.05
)
assert result["is_lyapunov_stable"] is True
print("Proof Hash:", result["proof_certificate_hash"])
# >>> Proof Hash: 01feb7a44bc46e937395ba74058f4d6c...