Fast inference.
Real savings.
Your control.
Open-weight and private models, deployed where you need them, at predictable cost per token.
Drop-in replacement.
OpenAI and Anthropic compatible in just two lines.
import os import openai client = openai.OpenAI( base_url="https://api.scx.ai/v1", api_key=os.environ.get("SCX_API_KEY"), ) response = client.chat.completions.create( model="MiniMax-M2.5", messages=[{"role": "user", "content": "Hello!"}], ) print(response.choices[0].message.content)
Security. Control. Performance.
Enterprise AI without compromise
Most platforms force you to choose between security and performance. SCX.ai is built so you don’t have to.
Security by design
No prompt caching. No training on your data. Isolated inference with enterprise-grade controls.
- No prompt caching
- No training on your data
- Isolated inference
- Enterprise-grade access controls
Operational control
Open-weight models, stable APIs, and dedicated infrastructure keep your roadmap in your hands.
- Open-weight model support
- Stable APIs, no forced upgrades
- Version and lifecycle stability
- Dedicated infrastructure available
Performance economics
Faster inference and lower token costs on infrastructure engineered for predictable production workloads.
- High-performance inference
- Lower token costs
- Predictable, transparent pricing
- Energy-efficient architecture
Open-weight models. No vendor lock-in.
Deploy frontier open-weight models on dedicated inference infrastructure—with stable APIs and no forced upgrades.
Infrastructure built for enterprise AI security
Purpose-built inference infrastructure designed for performance, isolation, and operational control across regulated workloads.
Performant LLM runtimes
Get the highest throughput and lowest latency in production with models like Qwen, DeepSeek, Llama, and gpt-oss on purpose-built dataflow accelerators.
Optimised transcription
Whisper-Large-v3 delivers fast, accurate, multilingual transcription and speaker diarisation with the lowest time-to-first-byte on the market.
The fastest embeddings
E5-Mistral-7B-Instruct with 32K context and 4,096 dimensions. Over 2x higher throughput and 10% lower latency than comparable solutions.
Enterprise-grade guardrails
Keyword and content filters, PII detection, and custom webhooks for proprietary safety logic. Essential for regulated sectors.
Managed vector stores
Built-in embedding models with configurable distance metrics and zero infrastructure overhead. Fully managed RAG in minutes.
Ultra-low-latency compound AI
Dataflow architecture enables granular hardware orchestration for compound AI, cutting latency in half with 6x better resource utilisation.
Your AI data stays yours
SCX.ai is designed for organizations that cannot afford data leakage, uncontrolled model behavior, or opaque AI vendors.
No prompt caching
Prompts are not stored, indexed, or replayed. Each request is processed and discarded.
No input or output retention
Inputs and outputs are not logged for review, fine-tuning, or analytics by default.
No training on your data
Your data is never used to train, fine-tune, or improve our models—or anyone else’s.
No resale or reuse
Customer data is never sold, shared, or reused across customers or partners.
Enterprise AI without compromise
From private inference to retrieval and agentic systems, deploy AI capabilities on infrastructure your security team can trust.
Code Assistance
IDE copilots, code generation, debugging agents
Conversational AI
Customer support bots, internal helpdesk assistants, multilingual chat
Agentic Systems
Multi-step reasoning, planning, and execution pipelines
Search
Enterprise assistants, summarisation, semantic search, personalised recommendations
Multimodal
Text and vision in real-time workflows with native multimodal models
Enterprise RAG
Secure, scalable retrieval for knowledge bases and documents
AI Enablement & Support Services
Your engineering team. Our AI platform expertise.
SCX embeds AI engineers and architects alongside your delivery team — from integration and agent frameworks to model optimisation, governance, and production operations.
Embedded AI engineering
Platform specialists embed in your team to debug production issues and accelerate delivery.
- Solution architects and ML engineers
- Production debugging and optimisation
- Enterprise security alignment
- Knowledge transfer built in
Solution architecture
Architecture planning that reduces risk before you commit engineering resources to scale.
- Model selection and trade-off analysis
- Security architecture for regulated workloads
- RAG and deployment topology design
- Phased go-live milestones
Integration & agentic AI
Drop-in compatibility with your existing AI stack, agents, and enterprise systems.
- OpenAI and Anthropic-compatible APIs
- LangChain, AutoGen, and custom orchestration
- RAG pipelines and vector stores
- CRM, ERP, and document store integration
Model optimisation & ACE
Domain-adapted models with controlled rollouts and adaptive context engineering.
- LoRA and PEFT fine-tuning
- Production-like evaluation harnesses
- Canary and A/B deployment frameworks
- Agentic Context Engineering (ACE)
Production AI infrastructure starts here
Open-weight models, regional placement, predictable cost per token, and dedicated inference—without surrendering control of your data, models, or roadmap.
Talk to an architect
