High-performance optimization,
handled end to end
Move faster · reduce friction · make better decisions
Sematryx formulates the problem, selects the right optimization strategy, solves it, and explains the result.
Turns natural language into math · Maps the solution landscape · Learns which strategies work · Benchmark-backed performance
Works with
Sematryx does not rely on a single fixed optimizer. It analyzes the problem, selects and tunes the right strategy, and explains the result.
Use Sematryx through conversation, MCP, or API. It formulates and analyzes problems, selects and tunes the right strategy, and returns explainable results.
Conversational
Describe problems in plain English when you want a guided formulation
MCP for agents
Tool calls map to the same engine as the API and SDKs
Engine routing
Portfolio of solvers and policies—not one fixed algorithm
Optional learning
Transfer and warm-start when your policy allows it
Explainable
Configurable depth for stakeholders and compliance
REST API & SDK
Integrate optimization into any workflow
Performance
A high-performance optimization engine
MCP and conversational flows are how you access Sematryx today—the credibility of the product is the engine: benchmarked behavior, multi-solver orchestration, and explainable outcomes for serious problems.
Benchmarked results
Head-to-head results on standard test functions and realistic problem shapes—not just demos.
Multi-solver portfolio
Strategy selection draws from a portfolio of solvers so the engine matches the problem, not a single default.
Adaptive selection & transfer
Warm starts and learning from prior runs can reduce evaluations as your workload repeats.
Reliability under constraints
Built for constraint-heavy decision problems where black-box tools often fail or stall.
Landscape-aware behavior
Topology and landscape signals inform how aggressively to search—without turning the product into an architecture diagram.
Summary metrics on the Performance page are illustrative of benchmark scenarios—see full tables and methodology there.
Formulate in plain English—same engine underneath
Natural language helps you specify objectives and constraints; Sematryx still solves with the hosted optimization engine and returns numbers plus explanations your team or agents can use.
Facebook: $15,000 (30%)
LinkedIn: $6,500 (13%)
Use cases
Problem classes the engine handles well
Examples—not a catalog of vertical suites. Agents often call Sematryx when a workflow hits a continuous or combinatorial optimization problem; the same engine backs direct API use.
Hyperparameter Tuning
AI agents use Sematryx to find optimal learning rates, batch sizes, and regularization — without hand-coding grid search or random sampling.
Resource Allocation
AI agents use Sematryx to distribute budgets, staff, inventory, or compute across competing objectives with hard constraints.
Scheduling & Routing
AI agents use Sematryx to build conflict-free schedules and minimize routing cost across multi-variable constraint systems.
Model & System Configuration
AI agents use Sematryx to tune infrastructure configs, model serving parameters, and pipeline settings for throughput or cost.
Full use-case buckets (resource allocation, portfolios, scheduling, compliance-heavy decisions) →
MCP plugs agents into the engine
Agents call the same optimization service as your SDK and REST workflows: structured problems in, optimal points and objective values out—plus explanations the agent can quote or summarize for users.
- Claude, GPT, Cursor, and other MCP clients invoke Sematryx as a tool
- Responses pair numeric results with rationale suited for downstream reasoning
- Heavy optimization runs on hosted infrastructure, not in the agent loop
Product workflow
Formulate, solve, explain
The same engine backs APIs, SDKs, and MCP—positioned around outcomes, not internal architecture labels.
Formulate
Turn objectives, bounds, and constraints into a problem the engine can run—via SDK, REST, or guided conversational flows.
Solve
Adaptive strategy selection and a multi-solver portfolio target strong solutions on hard landscapes, with transfer from prior runs when your workload repeats.
Explain
Receive decision-relevant explanations and audit-friendly narrative—not just an optimum vector—so teams can trust and defend results.
One API Call
Define your problem, set constraints, get an optimized solution. No infrastructure to manage.
Full Explainability
Every decision documented and traceable for audits and regulatory compliance.
Built for real constraints
Hard limits, business rules, and audit expectations—explainable outputs for teams that have to justify decisions.
Gets Smarter
Continuous learning means better results over time, automatically.
Natural Language Interface
Describe problems in plain English. No code or optimization expertise required. Patent pending.
Early access opening soon
Join the waitlist for the hosted optimization engine—API, MCP, and conversational access
Join Waitlist →Simple, Pay-Per-Solve Pricing
Metered by solve complexity. Start free with 100 solves/month—same engine whether you call it from code, MCP, or conversational flows.
Free
Get started with optimization basics
- 100 solves/month
- Public learning pool
- Community support
- No credit card required
Pay-as-you-go
Pay only for what you use
- Unlimited solves
- Price scales with complexity
- Private Learning Store
- Priority support
- Credit packs save ~50%
Enterprise
For large organizations
- Volume discounts
- Dedicated support & SLA
- SSO & audit logs
- Custom integrations
Cost Per Solve
| Complexity | Dimensions | Max Evaluations | Cost |
|---|---|---|---|
| Small | ≤ 10 | ≤ 1,000 | $0.01 |
| Medium | ≤ 50 | ≤ 5,000 | $0.03 |
| Large | ≤ 100 | ≤ 10,000 | $0.05 |
Save ~50% with Credit Packs
5,000 solves for $75 (just $0.015/solve). Prepaid credits never expire.
Buy Credit PackQuestions? Check out our pricing FAQ or contact us.
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