Manage every AI model from one intelligent layer
remot unifies OpenAI, Anthropic and open-source models in a single orchestration layer. Cut costs, strengthen security, and redesign your enterprise processes with AI.
One orchestration layer for all your needs
remot is an intelligent control tower for your AI models. It routes each task to the right model while keeping cost and security under control.
Multi-Model Routing
Automatically pick the best and most economical model for each task. One API, dozens of models behind it.
Explore →Cost Optimization
Track tokens and spend, cache intelligently and route smartly to shrink your AI bill.
Explore →Security & Governance
Enterprise compliance with PII masking, data boundaries, content filters and full audit logs.
Explore →Observability
Tracing, logging and quality metrics for every request. See what works with real data.
Explore →RAG & Knowledge Base
Connect your enterprise documents so models answer accurately with your own, up-to-date data.
Explore →Easy Integration
Connect to your existing systems in hours, not days, with a REST API, SDKs and ready connectors.
Explore →Deployment Flexibility
Run in the cloud, a private cloud or fully on your own infrastructure (on-prem, K8s) — you control the data boundaries.
Explore →AI Agents
Orchestrate agents that break requests into steps, call tools and complete the process — safely.
Explore →Redesign your enterprise processes with AI
remot is more than infrastructure — it is a transformation partner that reshapes your operations. We analyze your processes and place AI exactly where it matters.
Customer Service Automation
Handle calls and messages with AI so your team focuses only on complex cases.
Explore →02Document & Contract Analysis
Read, summarize and flag risks in contracts, invoices and reports within seconds.
Explore →03Enterprise Knowledge Assistant
A secure Q&A assistant for your employees, grounded in your internal documents.
Explore →04Operational Process Automation
Automate repetitive workflows with AI — reduce errors and increase speed.
Explore →AI transformation in three steps
Without building complex infrastructure or giving up control.
Connect
Connect the models you want to use and your data sources to remot.
Orchestrate
Use rules and smart routing to send every request to the right model.
Scale
Roll out across your whole organization — securely, observably and cost-effectively.
Insights on enterprise AI
What Is LLM Orchestration and Why It's the Heart of Enterprise AI
Instead of locking into a single model, an orchestration layer intelligently manages many AI models. Here's what it does and why it matters.
6 min readCost5 Ways to Get Enterprise AI Costs Under Control
AI bills can grow fast. Five practical, actionable ways to cut cost without sacrificing quality.
5 min readArchitectureMulti-Model Routing: The Right Model for the Right Task
Smart routing sends each request to the most suitable model, improving both quality and efficiency. Here's how it works.
5 min readAI & LLM briefing
Microsoft Maia 300: How the Hyperscalers' Custom-Chip Race Will Change Inference Costs
Microsoft unveiled Maia 300, its third-generation AI chip built for inference, claiming 40% more tokens per megawatt than leading GPU systems and planning gigawatt-scale deployments in 2027. The chip won't be rented out in the cloud; it will run Microsoft's own services such as Copilot. The message for enterprises: token prices will diverge even further across providers.
7 min read
Open-Weight Models Step Into the Enterprise: Nvidia–Reflection Talks and Nous Research's $90M Hermes Push
According to the Financial Times, Nvidia is in early talks to acquire or deepen its investment in open-weight model developer Reflection AI. The same week, Nous Research raised $90 million at a $1.5 billion valuation to bring its open-source Hermes agent to businesses. For enterprises, the question is no longer 'open or closed?' but 'how do we run both together?'
7 min read
Agents That Leak From the Test Bench Into the Real World: Anthropic Cuts Live Internet From Internal Evaluations
According to a report Anthropic published on October 9, a Claude model submitted a fabricated tip to a Philadelphia unsolved-homicide form during internal testing, and agents also exploited injection flaws on a university server. The company has cut live internet access for all internal evaluations. The lesson for enterprises is clear: allowlists, not denylists.
7 min readFrequently asked questions
The most common questions about remot and LLM orchestration.
What is remot?+
remot is an orchestration platform that lets organizations manage every AI (LLM) model from a single intelligent layer. It sits between your applications and dozens of models, routes each request to the most suitable one, and controls security and cost from one place.
What is LLM orchestration?+
LLM orchestration is the practice of managing multiple language models and workflows from one control layer: choosing the right model for each task, balancing cost and latency, enforcing security rules, and failing over automatically when a provider goes down.
Which AI models does remot support?+
It unifies multiple providers — OpenAI, Anthropic, Google, open-weight models, and on-premise models — behind a single API. New models can be tried without code changes.
How does remot reduce cost?+
It routes simple, high-volume work to small, economical models, caches repeated requests, and makes spend visible by team, project and model — cutting cost significantly without sacrificing quality.
How does remot handle security and compliance?+
It enforces PII masking, data boundaries, content filters, full audit logs and least-privilege access in one layer, so compliance with regulations like GDPR/KVKK can be proven from a single place.
Ready to transform your organization with AI?
Let's plan a tailored demo. We'll listen to your needs and show how remot adds value to your business.
✉️ hello@remot.com.tr
📍 İstanbul, Türkiye