Integrate state-of-the-art AI capabilities into your applications. Physics-informed models, domain expertise, and advanced reasoning—all through a simple REST API.
import polymathic client = polymathic.Client("your-api-key") # Analyze manufacturing data result = client.analyze( prompt="Optimize production schedule", domain="manufacturing", data=production_data ) # Get physics-informed prediction prediction = client.predict( model="physics-informed-turbulence", parameters=conditions )
Production-ready APIs designed for scale, security, and reliability. Built by AI experts for developers who demand the best.
Access models that respect physical laws. Conservation laws, thermodynamic constraints, and domain-specific physics built into every prediction.
Models that understand your industry. Healthcare, manufacturing, finance, agriculture—trained on domain-specific data and expertise.
Run models on-premise or at the edge. Containerized solutions with Docker and Kubernetes support for your infrastructure.
Sub-100ms latency for production workloads. Optimized inference pipelines with batching, caching, and auto-scaling.
SOC 2 Type II certified. HIPAA compliant. End-to-end encryption. Your data never trains our models.
Python, JavaScript, Java, Go, and more. OpenAPI spec, Postman collections, and comprehensive documentation.
RESTful APIs with consistent response formats, comprehensive error handling, and detailed documentation.
/v1/analyze
Send data for AI-powered analysis with domain-specific context and reasoning.
Request Body
{ "prompt": "string", "domain": "manufacturing|healthcare|...", "data": "object", "options": "object" }
/v1/predict
Run physics-informed predictions using specialized domain models.
Request Body
{ "model": "string", "parameters": "object", "constraints": "object" }
/v1/models
List available models with metadata, capabilities, and pricing.
Response
{ "models": [ { "id": "string", "name": "string", "domain": "string" } ] }
/v1/embed
Generate domain-specific embeddings for similarity search and RAG applications.
Request Body
{ "text": "string", "model": "string", "domain": "string" }
/v1/chat
Conversational interface with domain expertise and tool use capabilities.
Request Body
{ "messages": [ {"role": "user", "content": "string"} ], "tools": ["string"] }
/v1/finetune
Fine-tune base models with your proprietary data for custom applications.
Request Body
{ "base_model": "string", "training_data": "url", "config": "object" }
Official SDKs for Python, JavaScript, and more. Install and start building in seconds.
Install:
pip install polymathic-sdk
Quick Start:
from polymathic import Client
client = Client("your-api-key")
result = client.analyze(
prompt="Optimize our supply chain",
domain="manufacturing",
data=supply_chain_data
)
print(result.insights)
Install:
npm install @polymathic/sdk
Quick Start:
import { Polymathic } from '@polymathic/sdk';
const client = new Polymathic({
apiKey: process.env.POLYMATHIC_KEY
});
const result = await client.analyze({
prompt: 'Optimize our supply chain',
domain: 'manufacturing',
data: supplyChainData
});
console.log(result.insights);
Go
go get github.com/polymathic/sdk-go
Java
Maven Central: polymathic-sdk
C# / .NET
NuGet: Polymathic.SDK
Ruby
gem install polymathic
Transparent, usage-based pricing with volume discounts. Start free, scale as you grow.
For learning and experimentation
For production applications
For large-scale deployments
$0.001
per analyze call
$0.01
per 1K tokens (chat)
$0.05
per prediction
$2.00
per fine-tune hour
Get free API access and start integrating state-of-the-art AI into your applications. No credit card required.