The Zeretis solver uses 100% deterministic symbolic computation — no AI approximations, no rounding errors. Every result is deterministic and shown step by step.
Every solution includes a complete breakdown of the mathematical transformations applied. You can follow each step, understand the reasoning, and use the working as a study or teaching reference.
The solver handles the full range of problems you'll encounter from middle school through university-level engineering — all with the same guaranteed accuracy.
Set your skill level in account settings and the solver adapts how it explains its steps — simpler language and more detail for beginners, concise formal notation for advanced users.
A complete overview of supported problem types and features.
Exact fraction arithmetic, integer operations, mixed numbers, order of operations.
Linear, quadratic, polynomial, rational, radical, and absolute value equations.
Derivatives, indefinite & definite integrals, limits, Taylor series.
Trig equations, identity simplification, inverse functions, exact values.
Matrix multiplication, determinants, inverses, rank, row reduction.
First and second order ODEs with initial conditions.
Summation formulas, arithmetic & geometric series, convergence tests.
GCD, LCM, prime factorization, modular arithmetic.
Native LaTeX notation for precise entry of complex expressions.
Full conversation threads so you can build on previous results.
Step explanations in English and Spanish. More languages coming.
Programmatic access for developers. JSON in, exact symbolic result out.
The Zeretis API gives you programmatic access to the full solver engine via a simple REST endpoint. Send a LaTeX or plain-text expression, get back an exact result and step-by-step JSON.
Minimum $10/month covers 10,000 calls. Perfect for educational platforms, homework tools, or engineering calculators.
Most AI tools run inference on large GPU clusters — each query consuming significant compute and electricity. Zeretis is fundamentally different. Symbolic computation is an algorithmic process that runs efficiently on standard CPUs. There are no neural network weights to load, no matrix multiplications at scale, no GPU memory to manage.
The result is a solver that uses 99.9999% less energy than GPU-based LLM inference. The core is a compiled Rust program that solves problems in approximately 30 microseconds on a standard laptop — thousands of times more efficient than any neural network approach. That matters for your electricity bill if you're self-hosting the API, and it matters significantly for the planet at scale.
Because symbolic computation is deterministic, results can also be cached perfectly — the same expression always returns the same result, so repeated queries cost almost nothing computationally.
These aren't policies bolted on after the fact. They're consequences of how the system is built.
Expressions are processed and discarded. We don't store what you typed, build a profile from it, or retain it in any form. There is nothing to breach because there is nothing to store.
Your queries are never sent to third-party AI providers, analytics platforms, or advertising networks. The solver runs on our own infrastructure. Paddle handles billing — that's the only external data processor.
The solver only accepts mathematical input and returns symbolic output. There is no language model to jailbreak, no system prompt to leak, no general-purpose reasoning that can be redirected. The attack surface is minimal by nature.
All connections — web interface and API — are encrypted in transit. API keys are transmitted only via bearer token headers. We follow standard security practices for authentication, key rotation, and access control.
Start solving immediately. Upgrade when you need more.
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