Run open-source AI models with market-leading pricing, backed by output quality, real load uptime, and unlimited throughput under fair use.
Focus on your AI product only. Run LLM inference through serverless endpoints and leave reliability and operations to us.
40%
Lower cost
Lower cost for the same LLM inference workloads, without sacrificing production performance.
15x
Lower latency
Optimized for low latency and fast time-to-first-token, delivering responsive experiences that stay consistent under load.
10x
Elastic load capacity
Workloads expand automatically with demand - unlimited throughput under fair use, without hard request or token limits.
99,99%
Uptime
Built for continuous availability, ensuring AI models are available when your product depends on it.
Low-latency open-weight reasoning model
Harmony-trained model for tool calls and JSON that avoids ad-hoc prompt glue, simplifying integration tests.
For tool-first coding with long context
A GLM-4.7 variant for multi-step tool use that avoids lost context so follow-ups stay consistent.
For long-context instruction chat
Instruction-tuned chat for long inputs, avoiding fragile prompting so outputs stay consistent.
For long-context coding with tool calls
For agentic coding, avoiding mixed reasoning formats so downstream parsing stays more consistent.
For ultra-long prompts with direct answers
Handles very long inputs while avoiding hidden thinking tags, making logs and parsing more predictable.
Compare Entrim’s pricing, powered by an optimized inference runtime, against other providers using the same token counts per request.
Estimate your Savings
Select a model
Tokens used per month(Usage split, 10:1: 9B input - 909M output)
Unlock speed and savings. Join the early access and claim your 1B free tokens to power your future AI.
Keep your product stable as usage grows, with predictable latency, autoscaling capacity, and lower cost per request.
Inference runs in our Slovenia, EU data center, operated by our team with direct operational control.
Our LLM inference is powered by B200, H200, and H100 clusters tuned for high throughput under real workloads.
We engineered intelligent GPU orchestration for efficiency, and pass the savings directly to users.
Autoscaling capacity handles traffic spikes automatically without manual provisioning or reconfiguration.
OpenAI compatible APIs enable fast LLM provider migration by swapping the base URL and keeping existing SDKs.
Engineered for predictable behavior under load, keeping latency and uptime stable as traffic ramps.
Security and compliance are core principles, keeping every byte of your data private and protected.
Designed to keep customer data private with encrypted requests stored in RAM-only and cleared after completion. No model training on prompts or outputs.
100B+
tokens/day
< 900 ms
time to first token
100+
tokens/sec per request
99.9%
uptime
Here are the most common questions users ask before getting started.
We are onboarding users via a waiting list. Apply for early access and we will notify you when your account is approved.
The API uses OpenAI-style formats, so most integrations can switch over with minimal changes.
We operate our own datacenter in Slovenia and run inference on dedicated NVIDIA GPUs, including B200, H200, and H100, built for large-scale inference workloads.
Our infrastructure runs on an in-house runtime stack designed for high throughput, efficient utilization, and predictable latency. The efficiency gains are reflected directly in our pricing.
All inference is processed in our Slovenia-based datacenter (EU). We do not train models on your data, and prompts and outputs are processed in RAM and not stored or persisted.
This ensures EU data residency and strong privacy guarantees by default.
Yes. Entrim is designed for sustained, real-world workloads - dedicated GPU infrastructure, predictable inference behavior, and a stable, OpenAI-compatible API for reliable integration.
The platform is used for production use cases like: SaaS products, internal tools, backend automation, AI-powered services requiring stable and predictable inference, customer support chat and ticket triage, sales outreach personalization and lead research summaries, document ingestion and extraction (PDFs, emails, contracts), RAG pipelines for internal knowledge search and Q&A, code assistance inside developer tools (autocomplete, refactors, tests), data classification and tagging (content moderation, routing, labeling), report generation (weekly KPIs, exec summaries, incident reports), workflow agents and tool-calling (CRM updates, scheduling, ops tasks), translation and localization for product and marketing content, batch processing jobs (enrichment, summarization, indexing at scale).
Yes. You can reach the Entrim team directly via our Entrim Discord community or by email at support@entrim.ai.
Support is provided by the same engineers building and operating the infrastructure, not a third-party help desk.
We’re scaling up access step by step. Join the waitlist and we’ll email you when you’re in.